1
|
Mansilla Navarro P, Copaci D, Blanco Rojas D. Design and Control of a Soft Knee Exoskeleton for Pediatric Patients at Early Stages of the Walking Learning Process. Bioengineering (Basel) 2024; 11:188. [PMID: 38391674 PMCID: PMC10886139 DOI: 10.3390/bioengineering11020188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 02/12/2024] [Accepted: 02/14/2024] [Indexed: 02/24/2024] Open
Abstract
Pediatric patients can suffer from different motor disorders that limit their neurological and motor development and hinder their independence. If treated at the very early stages of development, those limitations can be palliated or even removed. However, manual interventions are not completely effective due to the restrictions in terms of time, force, or tracking experienced by the physiotherapists. The knee flexo-extension is crucial for walking and often affected by disorders such as spasticity or lack of force in the posterior chain. This article focuses on the development of a knee exosuit to follow angular trajectories mimicking the maximum and minimum peaks present in the knee flexo-extension profiles of healthy individuals during walking. The proposed exosuit is based on shape memory alloy actuators along with four inertial sensors that close the control loop. The whole device is controlled through a two-level controller and has an hybrid rigid-flexible design to overcome the different issues present in the literature. The device was proven to be feasible for this type of application, with replicable and consistent behavior, reducing the price and weight of existing exosuits and enhancing patient comfort.
Collapse
Affiliation(s)
- Paloma Mansilla Navarro
- Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, 28015 Leganes, Spain
| | - Dorin Copaci
- Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, 28015 Leganes, Spain
| | - Dolores Blanco Rojas
- Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, 28015 Leganes, Spain
| |
Collapse
|
2
|
Bessler-Etten J, Schaake L, Buurke JH, Prange-Lasonder GB. Investigating change of discomfort during repetitive force exertion though an exoskeleton cuff. APPLIED ERGONOMICS 2024; 115:104055. [PMID: 37984083 DOI: 10.1016/j.apergo.2023.104055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 05/17/2023] [Accepted: 05/26/2023] [Indexed: 11/22/2023]
Abstract
This article investigates discomfort development for forces exerted repetitively and for extended durations through a rigid cuff. Three force patterns, chosen to mimic exoskeleton use, were applied to the thigh of 15 healthy participants for 30 min. Changes in perceived comfort and skin effects were recorded. Discomfort was detected at normal forces ranging from 40 to >230 N. Repetitive force application triggered discomfort after a median of 4.1 min (normal force only) and 5.4 min (normal and shear force) respectively. Discomfort increased over time but the repetitive force applications did generally not result in pain and there were no significant differences between repetitive loading patterns. Exoskeleton design and use should be informed by comfort thresholds specific to prolonged repetitive loading. Large interindividual differences in perception of discomfort limit the possibilities for generally applicable comfort thresholds. Further research is needed to investigate how patient groups perceive such repetitive loading.
Collapse
Affiliation(s)
- Jule Bessler-Etten
- Roessingh Research and Development, Enschede, the Netherlands; Department of Biomedical Signals and Systems, University of Twente, Enschede, the Netherlands.
| | | | - Jaap H Buurke
- Roessingh Research and Development, Enschede, the Netherlands; Department of Biomedical Signals and Systems, University of Twente, Enschede, the Netherlands
| | - Gerdienke B Prange-Lasonder
- Roessingh Research and Development, Enschede, the Netherlands; Department of Biomechanical Engineering, University of Twente, Enschede, the Netherlands
| |
Collapse
|
3
|
Aliman N, Ramli R, Amiri MS. Actuators and transmission mechanisms in rehabilitation lower limb exoskeletons: a review. BIOMED ENG-BIOMED TE 2024; 0:bmt-2022-0262. [PMID: 38295350 DOI: 10.1515/bmt-2022-0262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 01/12/2024] [Indexed: 02/02/2024]
Abstract
Research has shown that rehabilitation lower limb exoskeletons (RLLEs) are effective tools for improving recovery or regaining lower limb function. This device interacts with the limbs of patients. Thus, actuators and power transmission mechanisms are the key factors in determining smooth human‒machine interaction and comfort in physical therapy activities. A multitude of distinct technologies have been proposed. However, we questioned which consideration point in actuator selection and power transmission mechanisms are used for RLLE. A review of the technical characteristics and status of advanced RLLE designs is discussed. We review actuator selection for RLLE devices. Furthermore, the power transmission mechanisms over the years within each of the RLLE devices are presented. The development issues and possible research directions related to actuators and power transmission mechanisms are provided. Most RLLEs are still in the research phase, and only a few have been commercialized. The aim of this paper is to provide researchers with useful information for investigating technological progress and highlight the latest technological choices in RLLE development.
Collapse
Affiliation(s)
- Norazam Aliman
- Department of Mechanical Engineering, Politeknik Sultan Azlan Shah, Behrang, Perak, Malaysia
| | - Rizauddin Ramli
- Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Mohammad Soleimani Amiri
- Department of Manufacturing Engineering Technology, Faculty of Industrial and Manufacturing Technology and Engineering, Universiti Teknikal Malaysia, Melaka, Malaysia
| |
Collapse
|
4
|
Massardi S, Pinto-Fernandez D, Babič J, Dežman M, Trošt A, Grosu V, Lefeber D, Rodriguez C, Bessler J, Schaake L, Prange-Lasonder G, Veneman JF, Torricelli D. Relevance of hazards in exoskeleton applications: a survey-based enquiry. J Neuroeng Rehabil 2023; 20:68. [PMID: 37259115 DOI: 10.1186/s12984-023-01191-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 05/10/2023] [Indexed: 06/02/2023] Open
Abstract
Exoskeletons are becoming the reference technology for assistance and augmentation of human motor functions in a wide range of application domains. Unfortunately, the exponential growth of this sector has not been accompanied by a rigorous risk assessment (RA) process, which is necessary to identify the major aspects concerning the safety and impact of this new technology on humans. This situation may seriously hamper the market uptake of new products. This paper presents the results of a survey that was circulated to understand how hazards are considered by exoskeleton users, from research and industry perspectives. Our analysis aimed to identify the perceived occurrence and the impact of a sample of generic hazards, as well as to collect suggestions and general opinions from the respondents that can serve as a reference for more targeted RA. Our results identified a list of relevant hazards for exoskeletons. Among them, misalignments and unintended device motion were perceived as key aspects for exoskeletons' safety. This survey aims to represent a first attempt in recording overall feedback from the community and contribute to future RAs and the identification of better mitigation strategies in the field.
Collapse
Affiliation(s)
- Stefano Massardi
- Neural Rehabilitation Group of the Spanish National Research Council (CSIC), Madrid, Spain
- Department of Mechanical and Industrial Engineering, University of Brescia (DIMI), Brescia, Italy
| | - David Pinto-Fernandez
- Neural Rehabilitation Group of the Spanish National Research Council (CSIC), Madrid, Spain
- Universidad Politécnica de Madrid, Madrid, Spain
| | - Jan Babič
- Laboratory for Neuromechanics and Biorobotics, Department for Automation, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia
| | - Miha Dežman
- Laboratory for Neuromechanics and Biorobotics, Department for Automation, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia
| | - Andrej Trošt
- Laboratory for Neuromechanics and Biorobotics, Department for Automation, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia
| | - Victor Grosu
- Department of Mechanical Engineering, Robotics & Multibody Mechanics Research Group (R&MM), and Flanders Make, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Dirk Lefeber
- Department of Mechanical Engineering, Robotics & Multibody Mechanics Research Group (R&MM), and Flanders Make, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Carlos Rodriguez
- Department of Mechanical Engineering, Robotics & Multibody Mechanics Research Group (R&MM), and Flanders Make, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Jule Bessler
- Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands
- Roessingh Research and Development, Enschede, The Netherlands
| | | | - Gerdienke Prange-Lasonder
- Roessingh Research and Development, Enschede, The Netherlands
- Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands
| | | | - Diego Torricelli
- Neural Rehabilitation Group of the Spanish National Research Council (CSIC), Madrid, Spain.
| |
Collapse
|
5
|
Wright MA, Herzog F, Mas-Vinyals A, Carnicero-Carmona A, Lobo-Prat J, Hensel C, Franz S, Weidner N, Vidal J, Opisso E, Rupp R. Multicentric investigation on the safety, feasibility and usability of the ABLE lower-limb robotic exoskeleton for individuals with spinal cord injury: a framework towards the standardisation of clinical evaluations. J Neuroeng Rehabil 2023; 20:45. [PMID: 37046307 PMCID: PMC10091314 DOI: 10.1186/s12984-023-01165-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Robotic lower-limb exoskeletons have the potential to provide additional clinical benefits for persons with spinal cord injury (SCI). However, high variability between protocols does not allow the comparison of study results on safety and feasibility between different exoskeletons. We therefore incorporated key aspects from previous studies into our study protocol and accordingly conducted a multicentre study investigating the safety, feasibility and usability of the ABLE Exoskeleton in clinical settings. METHODS In this prospective pretest-posttest quasi-experimental study across two SCI centres in Germany and Spain, in- and outpatients with SCI were recruited into a 12-session training and assessment protocol, utilising the ABLE Exoskeleton. A follow-up visit after 4 weeks was included to assess after-training outcomes. Safety outcomes (device-related adverse events (AEs), number of drop-outs), feasibility and usability measures (level of assistance, donning/doffing-time) were recorded at every session together with changes in gait parameters and function. Patient-reported outcome measures including the rate of perceived exertion (RPE) and the psychosocial impact of the device were performed. Satisfaction with the device was evaluated in both participants and therapists. RESULTS All 24 participants (45 ± 12 years), with mainly subacute SCI (< 1 year after injury) from C5 to L3, (ASIA Impairment Scale A to D) completed the follow-up. In 242 training sessions, 8 device-related AEs (pain and skin lesions) were reported. Total time for don and doff was 6:50 ± 2:50 min. Improvements in level of assistance and gait parameters (time, steps, distance and speed, p < 0.05) were observed in all participants. Walking function and RPE improved in participants able to complete walking tests with (n = 9) and without (n = 6) the device at study start (p < 0.05). A positive psychosocial impact of the exoskeleton was reported and the satisfaction with the device was good, with best ratings in safety (participants), weight (therapists), durability and dimensions (both). CONCLUSIONS Our study results prove the feasibility of safe gait training with the ABLE Exoskeleton in hospital settings for persons with SCI, with improved clinical outcomes after training. Our study protocol allowed for consistent comparison of the results with other exoskeleton trials and can serve as a future framework towards the standardisation of early clinical evaluations. Trial Registration https://trialsearch.who.int/ , DRKS00023503, retrospectively registered on November 18, 2020.
Collapse
Affiliation(s)
- Mark Andrew Wright
- Institut Guttmann, University Institute attached to the Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Spain
- Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
| | - Franziska Herzog
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | | | | | | | - Cornelia Hensel
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Steffen Franz
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Norbert Weidner
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany
| | - Joan Vidal
- Institut Guttmann, University Institute attached to the Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Spain
- Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
| | - Eloy Opisso
- Institut Guttmann, University Institute attached to the Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Spain
- Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
| | - Rüdiger Rupp
- Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany.
| |
Collapse
|
6
|
de Miguel-Fernández J, Lobo-Prat J, Prinsen E, Font-Llagunes JM, Marchal-Crespo L. Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness. J Neuroeng Rehabil 2023; 20:23. [PMID: 36805777 PMCID: PMC9938998 DOI: 10.1186/s12984-023-01144-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/07/2023] [Indexed: 02/21/2023] Open
Abstract
BACKGROUND In the past decade, there has been substantial progress in the development of robotic controllers that specify how lower-limb exoskeletons should interact with brain-injured patients. However, it is still an open question which exoskeleton control strategies can more effectively stimulate motor function recovery. In this review, we aim to complement previous literature surveys on the topic of exoskeleton control for gait rehabilitation by: (1) providing an updated structured framework of current control strategies, (2) analyzing the methodology of clinical validations used in the robotic interventions, and (3) reporting the potential relation between control strategies and clinical outcomes. METHODS Four databases were searched using database-specific search terms from January 2000 to September 2020. We identified 1648 articles, of which 159 were included and evaluated in full-text. We included studies that clinically evaluated the effectiveness of the exoskeleton on impaired participants, and which clearly explained or referenced the implemented control strategy. RESULTS (1) We found that assistive control (100% of exoskeletons) that followed rule-based algorithms (72%) based on ground reaction force thresholds (63%) in conjunction with trajectory-tracking control (97%) were the most implemented control strategies. Only 14% of the exoskeletons implemented adaptive control strategies. (2) Regarding the clinical validations used in the robotic interventions, we found high variability on the experimental protocols and outcome metrics selected. (3) With high grade of evidence and a moderate number of participants (N = 19), assistive control strategies that implemented a combination of trajectory-tracking and compliant control showed the highest clinical effectiveness for acute stroke. However, they also required the longest training time. With high grade of evidence and low number of participants (N = 8), assistive control strategies that followed a threshold-based algorithm with EMG as gait detection metric and control signal provided the highest improvements with the lowest training intensities for subacute stroke. Finally, with high grade of evidence and a moderate number of participants (N = 19), assistive control strategies that implemented adaptive oscillator algorithms together with trajectory-tracking control resulted in the highest improvements with reduced training intensities for individuals with chronic stroke. CONCLUSIONS Despite the efforts to develop novel and more effective controllers for exoskeleton-based gait neurorehabilitation, the current level of evidence on the effectiveness of the different control strategies on clinical outcomes is still low. There is a clear lack of standardization in the experimental protocols leading to high levels of heterogeneity. Standardized comparisons among control strategies analyzing the relation between control parameters and biomechanical metrics will fill this gap to better guide future technical developments. It is still an open question whether controllers that provide an on-line adaptation of the control parameters based on key biomechanical descriptors associated to the patients' specific pathology outperform current control strategies.
Collapse
Affiliation(s)
- Jesús de Miguel-Fernández
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Centre for Biomedical Engineering, Universitat Politècnica de Catalunya, Diagonal 647, 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain
| | | | - Erik Prinsen
- Roessingh Research and Development, Roessinghsbleekweg 33b, 7522AH Enschede, Netherlands
| | - Josep M. Font-Llagunes
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Centre for Biomedical Engineering, Universitat Politècnica de Catalunya, Diagonal 647, 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain
| | - Laura Marchal-Crespo
- Cognitive Robotics Department, Delft University of Technology, Mekelweg 2, 2628 Delft, Netherlands
- Motor Learning and Neurorehabilitation Lab, ARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010 Bern, Switzerland
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| |
Collapse
|
7
|
Siviy C, Baker LM, Quinlivan BT, Porciuncula F, Swaminathan K, Awad LN, Walsh CJ. Opportunities and challenges in the development of exoskeletons for locomotor assistance. Nat Biomed Eng 2022; 7:456-472. [PMID: 36550303 DOI: 10.1038/s41551-022-00984-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 11/08/2022] [Indexed: 12/24/2022]
Abstract
Exoskeletons can augment the performance of unimpaired users and restore movement in individuals with gait impairments. Knowledge of how users interact with wearable devices and of the physiology of locomotion have informed the design of rigid and soft exoskeletons that can specifically target a single joint or a single activity. In this Review, we highlight the main advances of the past two decades in exoskeleton technology and in the development of lower-extremity exoskeletons for locomotor assistance, discuss research needs for such wearable robots and the clinical requirements for exoskeleton-assisted gait rehabilitation, and outline the main clinical challenges and opportunities for exoskeleton technology.
Collapse
Affiliation(s)
- Christopher Siviy
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Lauren M Baker
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Brendan T Quinlivan
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Franchino Porciuncula
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.,Department of Physical Therapy, College of Health and Rehabilitation Sciences: Sargent, Boston University, Boston, MA, USA
| | - Krithika Swaminathan
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Louis N Awad
- Department of Physical Therapy, College of Health and Rehabilitation Sciences: Sargent, Boston University, Boston, MA, USA
| | - Conor J Walsh
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
| |
Collapse
|
8
|
SAKEL M, SAUNDERS K, HODGSON P, STEPHENSEN D, PHADKE CP, BASSETT PA, WILKINSON D. Feasibility and Safety of a Powered Exoskeleton for Balance Training for People Living with Multiple Sclerosis: A Single-Group Preliminary Study (Rapper III). J Rehabil Med 2022; 54:jrm00357. [PMID: 36484722 PMCID: PMC9774743 DOI: 10.2340/jrm.v54.4544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/27/2022] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To evaluate the feasibility, usability, safety, and potential health benefits of using an exoskeleton device for rehabilitation of people living with multiple sclerosis. DESIGN Single-group preliminary study. SUBJECTS Eleven adults living with multiple sclerosis, with Expanded Disability Status Scores that ranged from 6 to 7.5 (mean age (standard deviation; SD) 54.2 (11.8) years), were recruited. METHODS Individual participants undertook a balance rehabilitation exercise programme using the Rex Rehab robotic exoskeleton device. Each participant undertook 4 × 45-60 min supervised, balance exercise sessions. Primary outcomes were: (i) the number of participants who completed the trial protocol safely, and (ii) the number and nature of adverse events reported. Secondary outcomes were: mobility; balance; spasticity; sleep; functional independence; quality of life; and device satisfaction. RESULTS Ten out of 11 participants completed the trial protocol safely. Four adverse events were recorded (1 serious), all of which were deemed unrelated to the trial. Secondary outcomes showed allied improvements in balance, joint mobility, spasticity and quality of life. All participants found the device acceptable to use. CONCLUSION These results suggest that it is feasible and safe to use the Rex Rehab exoskeleton device to assist with balance rehabilitation for people living with multiple sclerosis.
Collapse
Affiliation(s)
- Mohamed SAKEL
- Consultant Physician in Neuro-rehabilitation Medicine, Director of East Kent Neuro-rehabilitation Service, East Kent Hospitals University Foundation NHS Trust, Canterbury, Kent
| | - Karen SAUNDERS
- School of Social Policy, Sociology and Social Research, University of Kent, Canterbury
| | - Philip HODGSON
- Physiotherapy Department, Tees, Esk and Wear Valleys NHS Foundation Trust, Durham
| | - David STEPHENSEN
- Physiotherapy Department, East Kent Hospitals University Foundation NHS Trust, Canterbury, UK
| | | | | | - David WILKINSON
- School of Psychology, University of Kent, Canterbury, Kent, UK
| |
Collapse
|
9
|
Livolsi C, Conti R, Guanziroli E, Friðriksson Þ, Alexandersson Á, Kristjánsson K, Esquenazi A, Molino Lova R, Romo D, Giovacchini F, Crea S, Molteni F, Vitiello N. An impairment-specific hip exoskeleton assistance for gait training in subjects with acquired brain injury: a feasibility study. Sci Rep 2022; 12:19343. [PMID: 36369462 PMCID: PMC9652374 DOI: 10.1038/s41598-022-23283-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022] Open
Abstract
This study was designed to investigate the feasibility and the potential effects on walking performance of a short gait training with a novel impairment-specific hip assistance (iHA) through a bilateral active pelvis orthosis (APO) in patients with acquired brain injury (ABI). Fourteen subjects capable of independent gait and exhibiting mild-to-moderate gait deficits, due to an ABI, were enrolled. Subjects presenting deficit in hip flexion and/or extension were included and divided into two groups based on the presence (group A, n = 6) or absence (group B, n = 8) of knee hyperextension during stance phase of walking. Two iHA-based profiles were developed for the groups. The protocol included two overground gait training sessions using APO, and two evaluation sessions, pre and post training. Primary outcomes were pre vs. post-training walking distance and steady-state speed in the 6-min walking test. Secondary outcomes were self-selected speed, joint kinematics and kinetics, gait symmetry and forward propulsion, assessed through 3D gait analysis. Following the training, study participants significantly increased the walked distance and average steady-state speed in the 6-min walking tests, both when walking with and without the APO. The increased walked distance surpassed the minimal clinically important difference for groups A and B, (respectively, 42 and 57 m > 34 m). In group A, five out of six subjects had decreased knee hyperextension at the post-training session (on average the peak of the knee extension angle was reduced by 36%). Knee flexion during swing phase increased, by 16% and 31%, for A and B groups respectively. Two-day gait training with APO providing iHA was effective and safe in improving walking performance and knee kinematics in ABI survivors. These preliminary findings suggest that this strategy may be viable for subject-specific post-ABI gait rehabilitation.
Collapse
Affiliation(s)
- Chiara Livolsi
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa, Italy.
- Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy.
| | | | - Eleonora Guanziroli
- Villa Beretta Rehabilitation Center, Valduce Hospital, Costa Masnaga, Lecco, Italy
| | | | | | | | - Alberto Esquenazi
- Department of PM&R, MossRehab and Einstein Healthcare Network, Elkins Park, PA, USA
| | | | | | | | - Simona Crea
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa, Italy
- Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy
| | - Franco Molteni
- Villa Beretta Rehabilitation Center, Valduce Hospital, Costa Masnaga, Lecco, Italy
| | - Nicola Vitiello
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa, Italy
- Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy
| |
Collapse
|
10
|
Fanti V, Sanguineti V, Caldwell DG, Ortiz J, Di Natali C. Assessment methodology for human-exoskeleton interactions: Kinetic analysis based on muscle activation. Front Neurorobot 2022; 16:982950. [PMID: 36386390 PMCID: PMC9643542 DOI: 10.3389/fnbot.2022.982950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/22/2022] [Indexed: 11/29/2022] Open
Abstract
During the development and assessment of an exoskeleton, many different analyzes need to be performed. The most frequently used evaluate the changes in muscle activations, metabolic consumption, kinematics, and kinetics. Since human-exoskeleton interactions are based on the exchange of forces and torques, the latter of these, kinetic analyzes, are essential and provide indispensable evaluation indices. Kinetic analyzes, however, require access to, and use of, complex experimental apparatus, involving many instruments and implicating lengthy data analysis processes. The proposed methodology in this paper, which is based on data collected via EMG and motion capture systems, considerably reduces this burden by calculating kinetic parameters, such as torque and power, without needing ground reaction force measurements. This considerably reduces the number of instruments used, allows the calculation of kinetic parameters even when the use of force sensors is problematic, does not need any dedicated software, and will be shown to have high statistical validity. The method, in fact, combines data found in the literature with those collected in the laboratory, allowing the analysis to be carried out over a much greater number of cycles than would normally be collected with force plates, thus enabling easy access to statistical analysis. This new approach evaluates the kinetic effects of the exoskeleton with respect to changes induced in the user's kinematics and muscular activation patterns and provides indices that quantify the assistance in terms of torque (AMI) and power (API). Following the User-Center Design approach, which requires driving the development process as feedback from the assessment process, this aspect is critical. Therefore, by enabling easy access to the assessment process, the development of exoskeletons could be positively affected.
Collapse
Affiliation(s)
- Vasco Fanti
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
- *Correspondence: Vasco Fanti
| | - Vittorio Sanguineti
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), Università degli Studi di Genova (UniGe), Genova, Italy
| | - Darwin G. Caldwell
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Jesús Ortiz
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Christian Di Natali
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| |
Collapse
|
11
|
Remazeilles A, Dominguez A, Barralon P, Torres-Pardo A, Pinto D, Aller F, Mombaur K, Conti R, Saccares L, Thorsteinsson F, Prinsen E, Cantón A, Castilla J, Sanz-Morère CB, Tornero J, Torricelli D. Making Bipedal Robot Experiments Reproducible and Comparable: The Eurobench Software Approach. Front Robot AI 2022; 9:951663. [PMID: 36105761 PMCID: PMC9465443 DOI: 10.3389/frobt.2022.951663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
This study describes the software methodology designed for systematic benchmarking of bipedal systems through the computation of performance indicators from data collected during an experimentation stage. Under the umbrella of the European project Eurobench, we collected approximately 30 protocols with related testbeds and scoring algorithms, aiming at characterizing the performances of humanoids, exoskeletons, and/or prosthesis under different conditions. The main challenge addressed in this study concerns the standardization of the scoring process to permit a systematic benchmark of the experiments. The complexity of this process is mainly due to the lack of consistency in how to store and organize experimental data, how to define the input and output of benchmarking algorithms, and how to implement these algorithms. We propose a simple but efficient methodology for preparing scoring algorithms, to ensure reproducibility and replicability of results. This methodology mainly constrains the interface of the software and enables the engineer to develop his/her metric in his/her favorite language. Continuous integration and deployment tools are then used to verify the replicability of the software and to generate an executable instance independent of the language through dockerization. This article presents this methodology and points at all the metrics and documentation repositories designed with this policy in Eurobench. Applying this approach to other protocols and metrics would ease the reproduction, replication, and comparison of experiments.
Collapse
Affiliation(s)
- Anthony Remazeilles
- TECNALIA, Basque Research and Technology Alliance (BRTA), San Sebastián, Spain
- *Correspondence: Anthony Remazeilles,
| | - Alfonso Dominguez
- TECNALIA, Basque Research and Technology Alliance (BRTA), San Sebastián, Spain
| | - Pierre Barralon
- TECNALIA, Basque Research and Technology Alliance (BRTA), San Sebastián, Spain
| | - Adriana Torres-Pardo
- Spanish National Research Council (CSIC), Cajal Institute, Neural rehabilitation Group, Madrid, Spain
| | - David Pinto
- Spanish National Research Council (CSIC), Cajal Institute, Neural rehabilitation Group, Madrid, Spain
- Universidad Politécnica de Madrid, Madrid, Spain
| | - Felix Aller
- Optimization, Robotics and Biomechanics, Institute of Computer Engineering, Heidelberg University, Heidelberg, Germany
| | - Katja Mombaur
- Department of Systems Design Engineering, Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada
| | | | | | | | - Erik Prinsen
- Department of Biomechanical Engineering, Techmed Centre, Roessingh Research and Development, University of Twente, Enschede, Netherlands
| | - Alberto Cantón
- Center for Clinical Neuroscience, Hospital Los Madroños, Madrid, Spain
| | - Javier Castilla
- Center for Clinical Neuroscience, Hospital Los Madroños, Madrid, Spain
| | | | - Jesús Tornero
- Center for Clinical Neuroscience, Hospital Los Madroños, Madrid, Spain
| | - Diego Torricelli
- Spanish National Research Council (CSIC), Cajal Institute, Neural rehabilitation Group, Madrid, Spain
| |
Collapse
|
12
|
Layne CS, Malaya CA, Ravindran AS, John I, Francisco GE, Contreras-Vidal JL. Distinct Kinematic and Neuromuscular Activation Strategies During Quiet Stance and in Response to Postural Perturbations in Healthy Individuals Fitted With and Without a Lower-Limb Exoskeleton. Front Hum Neurosci 2022; 16:942551. [PMID: 35911598 PMCID: PMC9334701 DOI: 10.3389/fnhum.2022.942551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/21/2022] [Indexed: 11/30/2022] Open
Abstract
Many individuals with disabling conditions have difficulty with gait and balance control that may result in a fall. Exoskeletons are becoming an increasingly popular technology to aid in walking. Despite being a significant aid in increasing mobility, little attention has been paid to exoskeleton features to mitigate falls. To develop improved exoskeleton stability, quantitative information regarding how a user reacts to postural challenges while wearing the exoskeleton is needed. Assessing the unique responses of individuals to postural perturbations while wearing an exoskeleton provides critical information necessary to effectively accommodate a variety of individual response patterns. This report provides kinematic and neuromuscular data obtained from seven healthy, college-aged individuals during posterior support surface translations with and without wearing a lower limb exoskeleton. A 2-min, static baseline standing trial was also obtained. Outcome measures included a variety of 0 dimensional (OD) measures such as center of pressure (COP) RMS, peak amplitude, velocities, pathlength, and electromyographic (EMG) RMS, and peak amplitudes. These measures were obtained during epochs associated with the response to the perturbations: baseline, response, and recovery. T-tests were used to explore potential statistical differences between the exoskeleton and no exoskeleton conditions. Time series waveforms (1D) of the COP and EMG data were also analyzed. Statistical parametric mapping (SPM) was used to evaluate the 1D COP and EMG waveforms obtained during the epochs with and without wearing the exoskeleton. The results indicated that during quiet stance, COP velocity was increased while wearing the exoskeleton, but the magnitude of sway was unchanged. The OD COP measures revealed that wearing the exoskeleton significantly reduced the sway magnitude and velocity in response to the perturbations. There were no systematic effects of wearing the exoskeleton on EMG. SPM analysis revealed that there was a range of individual responses; both behaviorally (COP) and among neuromuscular activation patterns (EMG). Using both the OD and 1D measures provided a more comprehensive representation of how wearing the exoskeleton impacts the responses to posterior perturbations. This study supports a growing body of evidence that exoskeletons must be personalized to meet the specific capabilities and needs of each individual end-user.
Collapse
Affiliation(s)
- Charles S. Layne
- University of Houston, Houston, TX, United States
- Center for Neuromotor and Biomechanics Research, College of Liberal Arts and Social Sciences, University of Houston, Houston, TX, United States
- *Correspondence: Charles S. Layne
| | - Christopher A. Malaya
- Center for Neuromotor and Biomechanics Research, College of Liberal Arts and Social Sciences, University of Houston, Houston, TX, United States
| | - Akshay S. Ravindran
- Noninvasive Brain-Machine Interface System Laboratory, Department of Electrical and Computer Engineering, University of Houston, Houston, TX, United States
| | - Isaac John
- Center for Neuromotor and Biomechanics Research, College of Liberal Arts and Social Sciences, University of Houston, Houston, TX, United States
| | - Gerard E. Francisco
- TIRR Memorial Hermann and Department of PMR, University of Texas Health Sciences Center, Houston, TX, United States
| | - Jose Luis Contreras-Vidal
- Noninvasive Brain-Machine Interface System Laboratory, Department of Electrical and Computer Engineering, University of Houston, Houston, TX, United States
| |
Collapse
|
13
|
Thomas G, Alakbarzade V, Sammaraiee Y, Cociasu I, Dalton C, Pereira AC. Spontaneous spinal cord infarction: a practical approach. Pract Neurol 2022; 22:497-502. [PMID: 35835550 DOI: 10.1136/pn-2022-003441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2022] [Indexed: 11/04/2022]
Abstract
Spontaneous spinal cord infarction is significantly less common than cerebrovascular disease. Because of the tight anatomical distribution of pathways in the cord, small spinal cord infarcts usually give more obvious symptoms and signs than similar lesions in the brain. Large epidemiological stroke studies have generally not included spinal cord stroke and so the incidence of vascular syndromes in the spinal cord is unknown. Management and prevention strategies for spontaneous spinal cord infarcts stem from small case series and case reports. Patient outcomes from spinal cord infarction are better with prompt recognition, timely management and prevention of associated medical complications arising from paraplegia, tetraplegia, neurogenic bladder and bowel dysfunction. The process of rehabilitation following spinal cord infarction is an evolving area.
Collapse
Affiliation(s)
- George Thomas
- Department of Older Persons' Medicine, James Cook University Hospital, Middlesbrough, UK
| | - Vafa Alakbarzade
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Yezen Sammaraiee
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Ioana Cociasu
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Catherine Dalton
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Anthony C Pereira
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| |
Collapse
|
14
|
Vouga T, Fasola J, Baud R, Manzoori AR, Pache J, Bouri M. TWIICE One powered exoskeleton: effect of design improvements on usability in daily life as measured by the performance in the CYBATHLON race. J Neuroeng Rehabil 2022; 19:63. [PMID: 35761399 PMCID: PMC9238043 DOI: 10.1186/s12984-022-01028-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 05/17/2022] [Indexed: 08/30/2023] Open
Abstract
Background Spinal cord injury leading to paraplegia affects the mobility and physiological well-being of one in a thousand people. Powered exoskeletons can temporarily restore the ability to walk. Their relevance in daily life is still limited because of low performance beyond ground that is even. CYBATHLON is an international competition promoting improvements in assistive technology. In this article, we present the latest design and results of testing of TWIICE One version 2018, one of the competing devices in the 2020 race. Methods A person with a motor-complete spinal cord injury at thoracic level T10 participated as race pilot. Training ahead of the race took place over one week at a rate of 2 h per day. The time to perform each of the seven tasks of the competition was recorded together with the number of repetitions. Performance is compared over the training period and against the 2016 race results. Results Progression was observed in all tasks and accounted for by both user training and technology improvements. Final competition rank was second out of seven participating teams, with a record time of 4′40". This represents an average improvement of 40% with respect to comparable obstacles of the 2016 race, explaining the two ranks of improvement since then. Conclusion These results help understand which features had a positive impact on the real-life performance of the device. Understanding how design affects performance is key information to create devices that really improve the life of people living with paraplegia.
Collapse
Affiliation(s)
| | | | | | | | | | - Mohamed Bouri
- Biorobotics Laboratory (BioRob), EPFL, Lausanne, Switzerland.,Translational Neural Engineering Laboratory (TNE), EPFL, Campus Biotech, Geneva, Switzerland
| |
Collapse
|
15
|
Steinhilber B, Seibt R, Rieger MA, Luger T. Postural Control When Using an Industrial Lower Limb Exoskeleton: Impact of Reaching for a Working Tool and External Perturbation. HUMAN FACTORS 2022; 64:635-648. [PMID: 32988243 PMCID: PMC9136386 DOI: 10.1177/0018720820957466] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 08/14/2020] [Indexed: 06/01/2023]
Abstract
OBJECTIVE To investigate postural control related to a lower limb exoskeleton (Chairless Chair) when (a) reaching for a working tool, and (b) an external perturbation occurs. BACKGROUND Lower limb exoskeletons aiming to reduce physical load associated with prolonged standing may impair workers' postural control and increase the risk of falling. METHOD Forty-five males were reaching for an object (3-kg dumbbell) at the lateral end of their reaching area without the exoskeleton in upright standing (STAND) and with the exoskeleton at a high (EXOHIGH.SEAT) and low sitting position (EXOLOW.SEAT). The task was performed with the object placed in three different angles (120°, 150°, and 180°) in the transversal plane. The minimum absolute static postural stability (SSABS.MIN) as the shortest distance (mm) of the center of pressure to the base of support border was measured (zero indicates risk of falling). Additionally, eight subjects were standing without the exoskeleton or sitting on it (EXOHIGH.SEAT and EXOLOW.SEAT) while being pulled backward. The tilting moment when subjects lost their balance was assessed. RESULTS SSABS.MIN was lower when using the exoskeleton (p < .05) but still about 17 mm. The location of the object to be reached had no influence. Tilting moments of less than 30 nm were sufficient to let people fall backward when sitting on the exoskeleton (50 nm for STAND). CONCLUSION Impairments in postural control by the exoskeleton may not be relevant when reaching laterally for objects up to 3 kg. When an external perturbation occurs, the risk of falling may be much higher; irrespective of factors like uneven or slippery flooring. APPLICATION The risk of falling using the exoskeleton seems to be low when reaching laterally for an object of up to 3 kg. In situations where, for example, a collision with coworkers is likely, this exoskeleton is not recommended.
Collapse
|
16
|
Massardi S, Rodriguez-Cianca D, Pinto-Fernandez D, Moreno JC, Lancini M, Torricelli D. Characterization and Evaluation of Human–Exoskeleton Interaction Dynamics: A Review. SENSORS 2022; 22:s22113993. [PMID: 35684614 PMCID: PMC9183080 DOI: 10.3390/s22113993] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/21/2022] [Accepted: 05/23/2022] [Indexed: 02/01/2023]
Abstract
Exoskeletons and exosuits have witnessed unprecedented growth in recent years, especially in the medical and industrial sectors. In order to be successfully integrated into the current society, these devices must comply with several commercialization rules and safety standards. Due to their intrinsic coupling with human limbs, one of the main challenges is to test and prove the quality of physical interaction with humans. However, the study of physical human–exoskeleton interactions (pHEI) has been poorly addressed in the literature. Understanding and identifying the technological ways to assess pHEI is necessary for the future acceptance and large-scale use of these devices. The harmonization of these evaluation processes represents a key factor in building a still missing accepted framework to inform human–device contact safety. In this review, we identify, analyze, and discuss the metrics, testing procedures, and measurement devices used to assess pHEI in the last ten years. Furthermore, we discuss the role of pHEI in safety contact evaluation. We found a very heterogeneous panorama in terms of sensors and testing methods, which are still far from considering realistic conditions and use-cases. We identified the main gaps and drawbacks of current approaches, pointing towards a number of promising research directions. This review aspires to help the wearable robotics community find agreements on interaction quality and safety assessment testing procedures.
Collapse
Affiliation(s)
- Stefano Massardi
- Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), 28006 Madrid, Spain; (S.M.); (D.R.-C.); (D.P.-F.); (J.C.M.)
- Department of Mechanical and Industrial Engineering (DIMI), University of Brescia, 25100 Brescia, Italy
| | - David Rodriguez-Cianca
- Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), 28006 Madrid, Spain; (S.M.); (D.R.-C.); (D.P.-F.); (J.C.M.)
| | - David Pinto-Fernandez
- Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), 28006 Madrid, Spain; (S.M.); (D.R.-C.); (D.P.-F.); (J.C.M.)
- Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| | - Juan C. Moreno
- Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), 28006 Madrid, Spain; (S.M.); (D.R.-C.); (D.P.-F.); (J.C.M.)
| | - Matteo Lancini
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health (DSMC), University of Brescia, 25100 Brescia, Italy;
| | - Diego Torricelli
- Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), 28006 Madrid, Spain; (S.M.); (D.R.-C.); (D.P.-F.); (J.C.M.)
- Correspondence:
| |
Collapse
|
17
|
Sujatha Ravindran A, Malaya C, John I, Francisco GE, Layne C, Contreras-Vidal JL. Decoding Neural Activity Preceding Balance Loss During Standing with a Lower-limb Exoskeleton using an Interpretable Deep Learning Model. J Neural Eng 2022; 19. [PMID: 35508113 DOI: 10.1088/1741-2552/ac6ca9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/04/2022] [Indexed: 11/11/2022]
Abstract
Falls are a leading cause of death in adults 65 and older. Recent efforts to restore lower-limb function in these populations have seen an increase in the use of wearable robotic systems; however, fall prevention measures in these systems require early detection of balance loss to be effective. Prior studies have investigated whether kinematic variables contain information about an impending fall, but few have examined the potential of using electroencephalography (EEG) as a fall-predicting signal and how the brain responds to avoid a fall. To address this, we decoded neural activity in a balance perturbation task while wearing an exoskeleton. We acquired EEG, electromyography (EMG), and center of pressure (COP) data from 7 healthy participants during mechanical perturbations while standing. The timing of the perturbations was randomized in all trials. We found perturbation evoked potentials (PEP) components as early as 75-134 ms after the onset of the external perturbation, which preceded both the peak in EMG (∼ 180 ms) and the COP (∼ 350 ms). A convolutional neural network trained to predict balance perturbations from single-trial EEG had a mean F-score of 75.0 ± 4.3 %. Clustering GradCAM-based model explanations demonstrated that the model utilized components in the PEP and was not driven by artifacts. Additionally, dynamic functional connectivity results agreed with model explanations; the nodal connectivity measured using phase difference derivative was higher in the occipital-parietal region in the early stage of perturbations, before shifting to the parietal, motor, and back to the frontal-parietal channels. Continuous-time decoding of COP trajectories from EEG, using a gated recurrent unit model, achieved a mean Pearson's correlation coefficient of 0.7 ± 0.06. Overall, our findings suggest that EEG signals contain short-latency neural information related to an impending fall, which may be useful for developing brain-machine interface systems for fall prevention in robotic exoskeletons.
Collapse
Affiliation(s)
- Akshay Sujatha Ravindran
- Department of Electrical and Computer Engineering, University of Houston, 4800 calhoun road, E413, Cullen Engineering Building 1, University of Houston, Houston, Texas, 77204, UNITED STATES
| | - Christopher Malaya
- Health and Human Performance, University of Houston, 4800 calhoun road, Houston, Houston, Texas, 77204, UNITED STATES
| | - Isaac John
- Health and Human Performance, University of Houston, 4800 calhoun road, Houston, Houston, Texas, 77204, UNITED STATES
| | - Gerard E Francisco
- Department of Physical Medicine and Rehabilitation, The University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, Texas, 77030, UNITED STATES
| | - Charles Layne
- Health and Human Performance, University of Houston, 4800 calhoun road, Houston, Houston, Texas, 77204, UNITED STATES
| | - Jose Luis Contreras-Vidal
- Electrical and Computer Engineering, University of Houston, N308 Engineering Building I, Houston, Texas, 77204-4005, UNITED STATES
| |
Collapse
|
18
|
Tamburella F, Lorusso M, Tramontano M, Fadlun S, Masciullo M, Scivoletto G. Overground robotic training effects on walking and secondary health conditions in individuals with spinal cord injury: systematic review. J Neuroeng Rehabil 2022; 19:27. [PMID: 35292044 PMCID: PMC8922901 DOI: 10.1186/s12984-022-01003-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 02/14/2022] [Indexed: 12/12/2022] Open
Abstract
Overground powered lower limb exoskeletons (EXOs) have proven to be valid devices in gait rehabilitation in individuals with spinal cord injury (SCI). Although several articles have reported the effects of EXOs in these individuals, the few reviews available focused on specific domains, mainly walking. The aim of this systematic review is to provide a general overview of the effects of commercial EXOs (i.e. not EXOs used in military and industry applications) for medical purposes in individuals with SCI. This systematic review was conducted following the PRISMA guidelines and it referred to MED-LINE, EMBASE, SCOPUS, Web of Science and Cochrane library databases. The studies included were Randomized Clinical Trials (RCTs) and non-RCT based on EXOs intervention on individuals with SCI. Out of 1296 studies screened, 41 met inclusion criteria. Among all the EXO studies, the Ekso device was the most discussed, followed by ReWalk, Indego, HAL and Rex devices. Since 14 different domains were considered, the outcome measures were heterogeneous. The most investigated domain was walking, followed by cardiorespiratory/metabolic responses, spasticity, balance, quality of life, human–robot interaction, robot data, bowel functionality, strength, daily living activity, neurophysiology, sensory function, bladder functionality and body composition/bone density domains. There were no reports of negative effects due to EXOs trainings and most of the significant positive effects were noted in the walking domain for Ekso, ReWalk, HAL and Indego devices. Ekso studies reported significant effects due to training in almost all domains, while this was not the case with the Rex device. Not a single study carried out on sensory functions or bladder functionality reached significance for any EXO. It is not possible to draw general conclusions about the effects of EXOs usage due to the lack of high-quality studies as addressed by the Downs and Black tool, the heterogeneity of the outcome measures, of the protocols and of the SCI epidemiological/neurological features. However, the strengths and weaknesses of EXOs are starting to be defined, even considering the different types of adverse events that EXO training brought about. EXO training showed to bring significant improvements over time, but whether its effectiveness is greater or less than conventional therapy or other treatments is still mostly unknown. High-quality RCTs are necessary to better define the pros and cons of the EXOs available today. Studies of this kind could help clinicians to better choose the appropriate training for individuals with SCI.
Collapse
Affiliation(s)
- Federica Tamburella
- I.R.C.C.S. Santa Lucia Foundation (FSL), Via Ardeatina, 306, 00179, Rome, Italy.
| | - Matteo Lorusso
- I.R.C.C.S. Santa Lucia Foundation (FSL), Via Ardeatina, 306, 00179, Rome, Italy
| | - Marco Tramontano
- I.R.C.C.S. Santa Lucia Foundation (FSL), Via Ardeatina, 306, 00179, Rome, Italy
| | - Silvia Fadlun
- I.R.C.C.S. Santa Lucia Foundation (FSL), Via Ardeatina, 306, 00179, Rome, Italy
| | - Marcella Masciullo
- I.R.C.C.S. Santa Lucia Foundation (FSL), Via Ardeatina, 306, 00179, Rome, Italy
| | - Giorgio Scivoletto
- I.R.C.C.S. Santa Lucia Foundation (FSL), Via Ardeatina, 306, 00179, Rome, Italy
| |
Collapse
|
19
|
Forte G, Leemhuis E, Favieri F, Casagrande M, Giannini AM, De Gennaro L, Pazzaglia M. Exoskeletons for Mobility after Spinal Cord Injury: A Personalized Embodied Approach. J Pers Med 2022; 12:jpm12030380. [PMID: 35330380 PMCID: PMC8954494 DOI: 10.3390/jpm12030380] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 02/05/2023] Open
Abstract
Endowed with inherent flexibility, wearable robotic technologies are powerful devices that are known to extend bodily functionality to assist people with spinal cord injuries (SCIs). However, rather than considering the specific psychological and other physiological needs of their users, these devices are specifically designed to compensate for motor impairment. This could partially explain why they still cannot be adopted as an everyday solution, as only a small number of patients use lower-limb exoskeletons. It remains uncertain how these devices can be appropriately embedded in mental representations of the body. From this perspective, we aimed to highlight the homeostatic role of autonomic and interoceptive signals and their possible integration in a personalized experience of exoskeleton overground walking. To ensure personalized user-centered robotic technologies, optimal robotic devices should be designed and adjusted according to the patient's condition. We discuss how embodied approaches could emerge as a means of overcoming the hesitancy toward wearable robots.
Collapse
Affiliation(s)
- Giuseppe Forte
- Dipartimento di Psicologia, “Sapienza” Università di Roma, Via dei Marsi 78, 00185 Rome, Italy; (E.L.); (A.M.G.); (L.D.G.); (M.P.)
- Body and Action Lab, IRCCS Fondazione Santa Lucia, Via Ardeatina 306, 00179 Rome, Italy
- Correspondence: (G.F.); (F.F.)
| | - Erik Leemhuis
- Dipartimento di Psicologia, “Sapienza” Università di Roma, Via dei Marsi 78, 00185 Rome, Italy; (E.L.); (A.M.G.); (L.D.G.); (M.P.)
- Body and Action Lab, IRCCS Fondazione Santa Lucia, Via Ardeatina 306, 00179 Rome, Italy
| | - Francesca Favieri
- Dipartimento di Psicologia, “Sapienza” Università di Roma, Via dei Marsi 78, 00185 Rome, Italy; (E.L.); (A.M.G.); (L.D.G.); (M.P.)
- Body and Action Lab, IRCCS Fondazione Santa Lucia, Via Ardeatina 306, 00179 Rome, Italy
- Correspondence: (G.F.); (F.F.)
| | - Maria Casagrande
- Dipartimento di Psicologia Dinamica, Clinica e Salute, Università di Rome “Sapienza”, Via Degli Apuli 1, 00185 Rome, Italy;
| | - Anna Maria Giannini
- Dipartimento di Psicologia, “Sapienza” Università di Roma, Via dei Marsi 78, 00185 Rome, Italy; (E.L.); (A.M.G.); (L.D.G.); (M.P.)
| | - Luigi De Gennaro
- Dipartimento di Psicologia, “Sapienza” Università di Roma, Via dei Marsi 78, 00185 Rome, Italy; (E.L.); (A.M.G.); (L.D.G.); (M.P.)
- Body and Action Lab, IRCCS Fondazione Santa Lucia, Via Ardeatina 306, 00179 Rome, Italy
| | - Mariella Pazzaglia
- Dipartimento di Psicologia, “Sapienza” Università di Roma, Via dei Marsi 78, 00185 Rome, Italy; (E.L.); (A.M.G.); (L.D.G.); (M.P.)
- Body and Action Lab, IRCCS Fondazione Santa Lucia, Via Ardeatina 306, 00179 Rome, Italy
| |
Collapse
|
20
|
Bessler-Etten J, Schaake L, Prange-Lasonder GB, Buurke JH. Assessing effects of exoskeleton misalignment on knee joint load during swing using an instrumented leg simulator. J Neuroeng Rehabil 2022; 19:13. [PMID: 35090501 PMCID: PMC8800279 DOI: 10.1186/s12984-022-00990-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 01/14/2022] [Indexed: 12/04/2022] Open
Abstract
Background Exoskeletons are working in parallel to the human body and can support human movement by exerting forces through cuffs or straps. They are prone to misalignments caused by simplified joint mechanics and incorrect fit or positioning. Those misalignments are a common safety concern as they can cause undesired interaction forces. However, the exact mechanisms and effects of misalignments on the joint load are not yet known. The aim of this study was therefore to investigate the influence of different directions and magnitudes of exoskeleton misalignment on the internal knee joint forces and torques of an artificial leg.
Methods An instrumented leg simulator was used to quantify the changes in knee joint load during the swing phase caused by misalignments of a passive knee brace being manually flexed. This was achieved by an experimenter pulling on a rope attached to the distal end of the knee brace to create a flexion torque. The extension was not actuated but achieved through the weight of the instrumented leg simulator. The investigated types of misalignments are a rotation of the brace around the vertical axis and a translation in anteroposterior as well as proximal/distal direction. Results The amount of misalignment had a significant effect on several directions of knee joint load in the instrumented leg simulator. In general, load on the knee joint increased with increasing misalignment. Specifically, stronger rotational misalignment led to higher forces in mediolateral direction in the knee joint as well as higher ab-/adduction, flexion and internal/external rotation torques. Stronger anteroposterior translational misalignment led to higher mediolateral knee forces as well as higher abduction and flexion/extension torques. Stronger proximal/distal translational misalignment led to higher posterior and tension/compression forces. Conclusions Misalignments of a lower leg exoskeleton can increase internal knee forces and torques during swing to a multiple of those experienced in a well-aligned situation. Despite only taking swing into account, this is supporting the need for carefully considering hazards associated with not only translational but also rotational misalignments during wearable robot development and use. Also, this warrants investigation of misalignment effects in stance, as a target of many exoskeleton applications.
Collapse
|
21
|
Harnessing robot experimentation to optimize the regulatory framing of emerging robot technologies. DATA & POLICY 2022. [DOI: 10.1017/dap.2022.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Abstract
From exoskeletons to lightweight robotic suits, wearable robots are changing dynamically and rapidly, challenging the timeliness of laws and regulatory standards that were not prepared for robots that would help wheelchair users walk again. In this context, equipping regulators with technical knowledge on technologies could solve information asymmetries among developers and policymakers and avoid the problem of regulatory disconnection. This article introduces pushing robot development for lawmaking (PROPELLING), an financial support to third parties from the Horizon 2020 EUROBENCH project that explores how robot testing facilities could generate policy-relevant knowledge and support optimized regulations for robot technologies. With ISO 13482:2014 as a case study, PROPELLING investigates how robot testbeds could be used as data generators to improve the regulation for lower-limb exoskeletons. Specifically, the article discusses how robot testbeds could help regulators tackle hazards like fear of falling, instability in collisions, or define the safe scenarios for avoiding any adverse consequences generated by abrupt protective stops. The article’s central point is that testbeds offer a promising setting to bring policymakers closer to research and development to make policies more attuned to societal needs. In this way, these approximations can be harnessed to unravel an optimal regulatory framework for emerging technologies, such as robots and artificial intelligence, based on science and evidence.
Collapse
|
22
|
Langlois K, Geeroms J, Van De Velde G, Rodriguez-Guerrero C, Verstraten T, Vanderborght B, Lefeber D. Improved Motion Classification With an Integrated Multimodal Exoskeleton Interface. Front Neurorobot 2021; 15:693110. [PMID: 34759807 PMCID: PMC8572867 DOI: 10.3389/fnbot.2021.693110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022] Open
Abstract
Human motion intention detection is an essential part of the control of upper-body exoskeletons. While surface electromyography (sEMG)-based systems may be able to provide anticipatory control, they typically require exact placement of the electrodes on the muscle bodies which limits the practical use and donning of the technology. In this study, we propose a novel physical interface for exoskeletons with integrated sEMG- and pressure sensors. The sensors are 3D-printed with flexible, conductive materials and allow multi-modal information to be obtained during operation. A K-Nearest Neighbours classifier is implemented in an off-line manner to detect reaching movements and lifting tasks that represent daily activities of industrial workers. The performance of the classifier is validated through repeated experiments and compared to a unimodal EMG-based classifier. The results indicate that excellent prediction performance can be obtained, even with a minimal amount of sEMG electrodes and without specific placement of the electrode.
Collapse
Affiliation(s)
- Kevin Langlois
- Robotics & Multibody Mechanics Research Group, MECH Department, Vrije Universiteit Brussel, Brussel, Belgium.,IMEC, Leuven, Belgium
| | - Joost Geeroms
- Robotics & Multibody Mechanics Research Group, MECH Department, Vrije Universiteit Brussel, Brussel, Belgium.,Flanders Make, Lommel, Belgium
| | - Gabriel Van De Velde
- Robotics & Multibody Mechanics Research Group, MECH Department, Vrije Universiteit Brussel, Brussel, Belgium
| | - Carlos Rodriguez-Guerrero
- Robotics & Multibody Mechanics Research Group, MECH Department, Vrije Universiteit Brussel, Brussel, Belgium.,Flanders Make, Lommel, Belgium
| | - Tom Verstraten
- Robotics & Multibody Mechanics Research Group, MECH Department, Vrije Universiteit Brussel, Brussel, Belgium.,Flanders Make, Lommel, Belgium
| | - Bram Vanderborght
- Robotics & Multibody Mechanics Research Group, MECH Department, Vrije Universiteit Brussel, Brussel, Belgium.,IMEC, Leuven, Belgium
| | - Dirk Lefeber
- Robotics & Multibody Mechanics Research Group, MECH Department, Vrije Universiteit Brussel, Brussel, Belgium.,Flanders Make, Lommel, Belgium
| |
Collapse
|
23
|
Saey T, Creylman V, Sevit R, Raeve ED, Arenas DM, Muraru L. A digital workflow for personalized design of the interface parts integrated in a powered ankle foot orthosis (PAFO). ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:4840-4843. [PMID: 34892293 DOI: 10.1109/embc46164.2021.9631049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The use of actuated exoskeletons in gait rehabilitation increased significantly in recent years. Although most of these exoskeletons are produced with a generic cuff, at the foot and ankle there are a lot of bony prominences and a limited amount of soft tissue, making it less comfortable . Furthermore, a proper alignment of the actuation systems is essential for the correct functioning of the exoskeleton. Therefore, we propose a digital workflow for the design of bespoke cuffs as interface parts of a powered ankle foot orthoses (PAFO). Moreover, this digital workflow permits the creation of axis and points of reference for the anatomical features which allows not only for the creation of custom-made cuffs but also for the integration and alignment of the PAFO mechanical components and actuation unit.
Collapse
|
24
|
Lower-Limb Exosuits for Rehabilitation or Assistance of Human Movement: A Systematic Review. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11188743] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background: The aim of this review is to provide a comprehensive overview of the technological state-of-the-art of exosuits and the clinical results obtained when applied to users with mobility impairment. Methods: Searches are carried out in the COCHRANE, PubMed, IEEE Xplore and MEDLINE databases. Titles, abstracts and full texts are screened for inclusion criteria. Technological and clinical data are extracted. The quality of the studies is evaluated via a study quality assessment tool. Results: 19 studies are identified as relevant. Active (47%) and passive exosuits (53%) are used. Most are used untethered (84%), accommodating the demand of mobility. No study reports power consumption, which is important for dimensioning power systems. Fields of applications are post-stroke (79%), osteoarthritis (16%) and post-trauma (5%). Mostly the ankle joint is addressed (57%), while less studies address multiple joints (21%). The outcomes of clinical evaluations of lower-limb exosuits with patients suffering from mobility impairments are positive in the correction of gait pattern and reducing metabolic energy consumption during hemiparetic walking. Conclusions: Lower-limb exosuits for clinical applications are still facing technological challenges. Fields of application are limited to stroke, osteoarthritis and trauma. While clinical outcomes are overall positive, improvements in the study protocols are suggested.
Collapse
|
25
|
Gonzalez A, Garcia L, Kilby J, McNair P. Robotic devices for paediatric rehabilitation: a review of design features. Biomed Eng Online 2021; 20:89. [PMID: 34488777 PMCID: PMC8420060 DOI: 10.1186/s12938-021-00920-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 08/06/2021] [Indexed: 01/11/2023] Open
Abstract
Children with physical disabilities often have limited performance in daily activities, hindering their physical development, social development and mental health. Therefore, rehabilitation is essential to mitigate the adverse effects of the different causes of physical disabilities and improve independence and quality of life. In the last decade, robotic rehabilitation has shown the potential to augment traditional physical rehabilitation. However, to date, most robotic rehabilitation devices are designed for adult patients who differ in their needs compared to paediatric patients, limiting the devices' potential because the paediatric patients' needs are not adequately considered. With this in mind, the current work reviews the existing literature on robotic rehabilitation for children with physical disabilities, intending to summarise how the rehabilitation robots could fulfil children's needs and inspire researchers to develop new devices. A literature search was conducted utilising the Web of Science, PubMed and Scopus databases. Based on the inclusion-exclusion criteria, 206 publications were included, and 58 robotic devices used by children with a physical disability were identified. Different design factors and the treated conditions using robotic technology were compared. Through the analyses, it was identified that weight, safety, operability and motivation were crucial factors to the successful design of devices for children. The majority of the current devices were used for lower limb rehabilitation. Neurological disorders, in particular cerebral palsy, were the most common conditions for which devices were designed. By far, the most common actuator was the electric motor. Usually, the devices present more than one training strategy being the assistive strategy the most used. The admittance/impedance method is the most popular to interface the robot with the children. Currently, there is a trend on developing exoskeletons, as they can assist children with daily life activities outside of the rehabilitation setting, propitiating a wider adoption of the technology. With this shift in focus, it appears likely that new technologies to actuate the system (e.g. serial elastic actuators) and to detect the intention (e.g. physiological signals) of children as they go about their daily activities will be required.
Collapse
Affiliation(s)
- Alberto Gonzalez
- BioDesign Lab, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Lorenzo Garcia
- BioDesign Lab, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.
| | - Jeff Kilby
- BioDesign Lab, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Peter McNair
- Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
| |
Collapse
|
26
|
Sesenna G, Calzolari C, Gruppi MP, Ciardi G. Walking with UAN.GO Exoskeleton: Training and Compliance in a Multiple Sclerosis Patient. Neurol Int 2021; 13:428-438. [PMID: 34449717 PMCID: PMC8395719 DOI: 10.3390/neurolint13030042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/01/2021] [Accepted: 08/03/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Multiple sclerosis is a progressive neurodegenerative disease that affects myelin in the central nervous system. It is complex and unpredictable and occurs predominantly in young adults, causing increasing disability and a significantly lower quality of life. Recent studies investigated how rehabilitation training through the use of a robotic exoskeleton can influence walking recovery in patients with a serious neurological disease. AIM The purpose of this study was to analyze the first approach of a multiple sclerosis patient to a robotic exoskeleton for the lower limbs, in order to assess the effectiveness of the protocol on walking ability, adaptability of the device, level of appreciation, variations in parameters related to walking, and fatigue perception. METHODS This study was conducted on a 71-year-old male diagnosed with primary progressive multiple sclerosis since 2012, with an EDSS score of 6. The patient underwent a cycle of 10 sessions of treatment with the exoskeleton for the lower limbs, the UAN.GO, lasting 1 h 30 min. Pre- and post-treatment evaluations were carried out with the 6 min walking test, the Fatigue Severity Scale, the Short Form-36 Health Survey, and a Likert scale for review. During each session, blood pressure, heart rate, and peripheral saturation were monitored; in addition, the perception of fatigue by the Borg scale was studied. RESULT A comparison between the initial and final evaluations showed improvements in the walked distance at 6 MWT (T0 = 53 m/T1 = 61 m). There was a positive trend in saturation and heart rate values collected during each session. Further improvements were found by the Borg scale (T0 = 15/T1 = 11). DISCUSSION The data collected in this case report show promising results regarding the treatment of multiple sclerosis patients with the UAN.GO exoskeleton, with benefits on both motor performance and vital parameters.
Collapse
Affiliation(s)
| | - Cecilia Calzolari
- Degree Course of Physiotherapy Student, Parma University, 43121 Parma, Italy;
| | - Maria Paola Gruppi
- Azienda USL, 29121 Piacenza, Italy;
- Degree Course of Physiotherapy, Parma University, 43121 Parma, Italy
| | - Gianluca Ciardi
- Azienda USL, 29121 Piacenza, Italy;
- Degree Course of Physiotherapy, Parma University, 43121 Parma, Italy
| |
Collapse
|
27
|
Baronchelli F, Zucchella C, Serrao M, Intiso D, Bartolo M. The Effect of Robotic Assisted Gait Training With Lokomat® on Balance Control After Stroke: Systematic Review and Meta-Analysis. Front Neurol 2021; 12:661815. [PMID: 34295298 PMCID: PMC8289887 DOI: 10.3389/fneur.2021.661815] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 06/04/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Disturbances of balance control are common after stroke, affecting the quality of gait and increasing the risk of falls. Because balance and gait disorders may persist also in the chronic stage, reducing individual independence and participation, they represent primary goals of neurorehabilitation programs. For this purpose, in recent years, numerous technological devices have been developed, among which one of the most widespread is the Lokomat®, an actuated exoskeleton that guide the patient's limbs, simulating a symmetrical bilateral gait. Preliminary evidence suggests that beyond gait parameters, robotic assisted gait training may also improve balance. Therefore, the aim of this systematic review was to summarize evidence about the effectiveness of Lokomat® in improving balance in stroke patients. Methods: Randomized controlled trials published between January 1989 and August 2020, comparing Lokomat® training to conventional therapy for stroke patients, were retrieved from seven electronic databases. Balance, assessed by means of validated clinical scales, was considered as outcome measure. The Physiotherapy Evidence Database (PEDro) scale was used to evaluate the methodological quality of the studies. The study protocol was registered on PROSPERO (no. CRD42020197531). Results: After the removal of the duplicates, according to the inclusion criteria, 13 studies were selected, involving 445 subacute or chronic stroke patients. Eleven papers contributed to three meta-analyses. Favorable results for recovery of balance in stroke survivors treated with Lokomat® were shown using Timed Up and Go (pooled mean difference = −3.40, 95% CI −4.35 to −2.44; p < 0.00001) and Rivermead Mobility Index as outcome measures (pooled mean difference = 0.40, 95% CI 0.26–0.55; p < 0.00001). Inconclusive results were found when balance was measured by means of the Berg Balance Scale (pooled mean difference = 0.17, 95% CI −0.26 to 0.60; p = 0.44). Conclusions: Overall, most studies have shown beneficial effects of Lokomat® on balance recovery for stroke survivors, at least comparable to conventional physical therapy. However, due to the limited number of studies and their high heterogeneity, further research is needed to draw more solid and definitive conclusions.
Collapse
Affiliation(s)
| | | | - Mariano Serrao
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome Polo Pontino, Latina, Italy
| | - Domenico Intiso
- Unit of Neuro-Rehabilitation and Rehabilitation Medicine, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Michelangelo Bartolo
- Neurorehabilitation Unit, Department of Rehabilitation, HABILITA Zingonia, Ciserano, Italy
| |
Collapse
|
28
|
Pinto-Fernandez D, Torricelli D, Sanchez-Villamanan MDC, Aller F, Mombaur K, Conti R, Vitiello N, Moreno JC, Pons JL. Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review. IEEE Trans Neural Syst Rehabil Eng 2021; 28:1573-1583. [PMID: 32634096 DOI: 10.1109/tnsre.2020.2989481] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Benchmarks have long been used to verify and compare the readiness level of different technologies in many application domains. In the field of wearable robots, the lack of a recognized benchmarking methodology is one important impediment that may hamper the efficient translation of research prototypes into actual products. At the same time, an exponentially growing number of research studies are addressing the problem of quantifying the performance of robotic exoskeletons, resulting in a rich and highly heterogeneous picture of methods, variables and protocols. This review aims to organize this information, and identify the most promising performance indicators that can be converted into practical benchmarks. We focus our analysis on lower limb functions, including a wide spectrum of motor skills and performance indicators. We found that, in general, the evaluation of lower limb exoskeletons is still largely focused on straight walking, with poor coverage of most of the basic motor skills that make up the activities of daily life. Our analysis also reveals a clear bias towards generic kinematics and kinetic indicators, in spite of the metrics of human-robot interaction. Based on these results, we identify and discuss a number of promising research directions that may help the community to attain a comprehensive benchmarking methodology for robot-assisted locomotion more efficiently.
Collapse
|
29
|
Effectiveness of powered exoskeleton use on gait in individuals with cerebral palsy: A systematic review. PLoS One 2021; 16:e0252193. [PMID: 34038471 PMCID: PMC8153467 DOI: 10.1371/journal.pone.0252193] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 05/12/2021] [Indexed: 12/19/2022] Open
Abstract
Background Cerebral palsy (CP) is a leading cause of childhood disability. The motor impairments of individuals with CP significantly affect the kinematics of an efficient gait pattern. Robotic therapies have become increasingly popular as an intervention to address this. Powered lower limb exoskeletons (PoLLE) are a novel form of robotic therapy that allow the individual to perform over-ground gait training and yet its effectiveness for CP is unknown. Purpose To determine the effectiveness of PoLLE use on gait in individuals with CP. Method A systematic search of eight electronic databases was conducted in March 2020. Studies included children (0–18 years) and or adults (18+ years) diagnosed with CP who used a PoLLE for gait training. This review was conducted and reported in line with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement, with the methodology registered with PROSPERO (CRD42020177160). A modified version of the McMaster critical review form for quantitative studies was used to assess the methodological quality. Due to the heterogeneity of the included studies, a descriptive synthesis using the National Health & Medical Research Council (NHMRC) FORM framework was undertaken. Results Of the 2089 studies screened, ten case series and three case studies met the inclusion criteria highlighting the current evidence base is emerging and low level. A range of PoLLEs were investigated with effectiveness measured by using a number of outcome measures. Collectively, the body of evidence indicates there is some consistent positive evidence on the effectiveness of PoLLE in improving gait in individuals with CP, with minimal adverse effects. While this is a positive and encouraging finding for an emerging technology, methodological concerns also need to be acknowledged. Conclusion With rapidly evolving technology, PoLLEs could play a transformative role in the lives of people impacted by CP. Ongoing research is required to further strengthen the evidence base and address current methodological concerns.
Collapse
|
30
|
Morse LR, Field-Fote EC, Contreras-Vidal J, Noble-Haeusslein LJ, Rodreick M, Shields RK, Sofroniew M, Wudlick R, Zanca JM. Meeting Proceedings for SCI 2020: Launching a Decade of Disruption in Spinal Cord Injury Research. J Neurotrauma 2021; 38:1251-1266. [PMID: 33353467 DOI: 10.1089/neu.2020.7174] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
The spinal cord injury (SCI) research community has experienced great advances in discovery research, technology development, and promising clinical interventions in the past decade. To build upon these advances and maximize the benefit to persons with SCI, the National Institutes of Health (NIH) hosted a conference February 12-13, 2019 titled "SCI 2020: Launching a Decade of Disruption in Spinal Cord Injury Research." The purpose of the conference was to bring together a broad range of stakeholders, including researchers, clinicians and healthcare professionals, persons with SCI, industry partners, regulators, and funding agency representatives to break down existing communication silos. Invited speakers were asked to summarize the state of the science, assess areas of technological and community readiness, and build collaborations that could change the trajectory of research and clinical options for people with SCI. In this report, we summarize the state of the science in each of five key domains and identify the gaps in the scientific literature that need to be addressed to move the field forward.
Collapse
Affiliation(s)
- Leslie R Morse
- Department of Rehabilitation Medicine, University of Minnesota School of Medicine, Minneapolis, Minnesota, USA
| | - Edelle C Field-Fote
- Shepherd Center, Atlanta, Georgia, USA.,Division of Physical Therapy, Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jose Contreras-Vidal
- Laboratory for Non-Invasive Brain Machine Interfaces, NSF IUCRC BRAIN, Cullen College of Engineering, University of Houston, Houston, Texas, USA
| | - Linda J Noble-Haeusslein
- Departments of Neurology and Psychology and the Institute of Neuroscience, University of Texas at Austin, Austin, Texas, USA
| | | | - Richard K Shields
- Department of Physical Therapy and Rehabilitation Science, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Michael Sofroniew
- Department of Neurobiology, University of California, Los Angeles, California, USA
| | - Robert Wudlick
- Department of Rehabilitation Medicine, University of Minnesota School of Medicine, Minneapolis, Minnesota, USA
| | - Jeanne M Zanca
- Spinal Cord Injury Research, Kessler Foundation, West Orange, New Jersey, USA.,Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | | |
Collapse
|
31
|
Bessler J, Prange-Lasonder GB, Schaake L, Saenz JF, Bidard C, Fassi I, Valori M, Lassen AB, Buurke JH. Safety Assessment of Rehabilitation Robots: A Review Identifying Safety Skills and Current Knowledge Gaps. Front Robot AI 2021; 8:602878. [PMID: 33937345 PMCID: PMC8080797 DOI: 10.3389/frobt.2021.602878] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 01/28/2021] [Indexed: 11/19/2022] Open
Abstract
The assessment of rehabilitation robot safety is a vital aspect of the development process, which is often experienced as difficult. There are gaps in best practices and knowledge to ensure safe usage of rehabilitation robots. Currently, safety is commonly assessed by monitoring adverse events occurrence. The aim of this article is to explore how safety of rehabilitation robots can be assessed early in the development phase, before they are used with patients. We are suggesting a uniform approach for safety validation of robots closely interacting with humans, based on safety skills and validation protocols. Safety skills are an abstract representation of the ability of a robot to reduce a specific risk or deal with a specific hazard. They can be implemented in various ways, depending on the application requirements, which enables the use of a single safety skill across a wide range of applications and domains. Safety validation protocols have been developed that correspond to these skills and consider domain-specific conditions. This gives robot users and developers concise testing procedures to prove the mechanical safety of their robotic system, even when the applications are in domains with a lack of standards and best practices such as the healthcare domain. Based on knowledge about adverse events occurring in rehabilitation robot use, we identified multi-directional excessive forces on the soft tissue level and musculoskeletal level as most relevant hazards for rehabilitation robots and related them to four safety skills, providing a concrete starting point for safety assessment of rehabilitation robots. We further identified a number of gaps which need to be addressed in the future to pave the way for more comprehensive guidelines for rehabilitation robot safety assessments. Predominantly, besides new developments of safety by design features, there is a strong need for reliable measurement methods as well as acceptable limit values for human-robot interaction forces both on skin and joint level.
Collapse
Affiliation(s)
- Jule Bessler
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Gerdienke B Prange-Lasonder
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomechanical Engineering, University of Twente, Enschede, Netherlands
| | | | - José F Saenz
- Fraunhofer Institute for Factory Operation and Automation, Magdeburg, Germany
| | | | - Irene Fassi
- National Research Council of Italy, Milan, Italy
| | | | - Aske Bach Lassen
- Department of Robot Technology, Danish Technological Institute, Odense, Denmark
| | - Jaap H Buurke
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| |
Collapse
|
32
|
Integration of 3D Printed Flexible Pressure Sensors into Physical Interfaces for Wearable Robots. SENSORS 2021; 21:s21062157. [PMID: 33808626 PMCID: PMC8003387 DOI: 10.3390/s21062157] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 02/28/2021] [Accepted: 03/16/2021] [Indexed: 12/14/2022]
Abstract
Sensing pressure at the physical interface between the robot and the human has important implications for wearable robots. On the one hand, monitoring pressure distribution can give valuable benefits on the aspects of comfortability and safety of such devices. Additionally, on the other hand, they can be used as a rich sensory input to high level interaction controllers. However, a problem is that the commercial availability of this technology is mostly limited to either low-cost solutions with poor performance or expensive options, limiting the possibilities for iterative designs. As an alternative, in this manuscript we present a three-dimensional (3D) printed flexible capacitive pressure sensor that allows seamless integration for wearable robotic applications. The sensors are manufactured using additive manufacturing techniques, which provides benefits in terms of versatility of design and implementation. In this study, a characterization of the 3D printed sensors in a test-bench is presented after which the sensors are integrated in an upper arm interface. A human-in-the-loop calibration of the sensors is then shown, allowing to estimate the external force and pressure distribution that is acting on the upper arm of seven human subjects while performing a dynamic task. The validation of the method is achieved by means of a collaborative robot for precise force interaction measurements. The results indicate that the proposed sensors are a potential solution for further implementation in human–robot interfaces.
Collapse
|
33
|
Rodríguez-Fernández A, Lobo-Prat J, Font-Llagunes JM. Systematic review on wearable lower-limb exoskeletons for gait training in neuromuscular impairments. J Neuroeng Rehabil 2021; 18:22. [PMID: 33526065 PMCID: PMC7852187 DOI: 10.1186/s12984-021-00815-5] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 01/12/2021] [Indexed: 02/08/2023] Open
Abstract
Gait disorders can reduce the quality of life for people with neuromuscular impairments. Therefore, walking recovery is one of the main priorities for counteracting sedentary lifestyle, reducing secondary health conditions and restoring legged mobility. At present, wearable powered lower-limb exoskeletons are emerging as a revolutionary technology for robotic gait rehabilitation. This systematic review provides a comprehensive overview on wearable lower-limb exoskeletons for people with neuromuscular impairments, addressing the following three questions: (1) what is the current technological status of wearable lower-limb exoskeletons for gait rehabilitation?, (2) what is the methodology used in the clinical validations of wearable lower-limb exoskeletons?, and (3) what are the benefits and current evidence on clinical efficacy of wearable lower-limb exoskeletons? We analyzed 87 clinical studies focusing on both device technology (e.g., actuators, sensors, structure) and clinical aspects (e.g., training protocol, outcome measures, patient impairments), and make available the database with all the compiled information. The results of the literature survey reveal that wearable exoskeletons have potential for a number of applications including early rehabilitation, promoting physical exercise, and carrying out daily living activities both at home and the community. Likewise, wearable exoskeletons may improve mobility and independence in non-ambulatory people, and may reduce secondary health conditions related to sedentariness, with all the advantages that this entails. However, the use of this technology is still limited by heavy and bulky devices, which require supervision and the use of walking aids. In addition, evidence supporting their benefits is still limited to short-intervention trials with few participants and diversity among their clinical protocols. Wearable lower-limb exoskeletons for gait rehabilitation are still in their early stages of development and randomized control trials are needed to demonstrate their clinical efficacy.
Collapse
Affiliation(s)
- Antonio Rodríguez-Fernández
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Center for Biomedical Engineering, Universitat Politècnica de Catalunya, Diagonal 647, 08028, Barcelona, Spain. .,Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain.
| | - Joan Lobo-Prat
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Center for Biomedical Engineering, Universitat Politècnica de Catalunya, Diagonal 647, 08028, Barcelona, Spain.,Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain.,ABLE Human Motion, Diagonal 647, 08028, Barcelona, Spain.,Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028, Barcelona, Spain
| | - Josep M Font-Llagunes
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Center for Biomedical Engineering, Universitat Politècnica de Catalunya, Diagonal 647, 08028, Barcelona, Spain.,Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain.,ABLE Human Motion, Diagonal 647, 08028, Barcelona, Spain
| |
Collapse
|
34
|
Paek AY, Brantley JA, Sujatha Ravindran A, Nathan K, He Y, Eguren D, Cruz-Garza JG, Nakagome S, Wickramasuriya DS, Chang J, Rashed-Al-Mahfuz M, Amin MR, Bhagat NA, Contreras-Vidal JL. A Roadmap Towards Standards for Neurally Controlled End Effectors. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2021; 2:84-90. [PMID: 35402986 PMCID: PMC8979628 DOI: 10.1109/ojemb.2021.3059161] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/24/2020] [Accepted: 02/09/2021] [Indexed: 12/02/2022] Open
Abstract
The control and manipulation of various types of end effectors such as powered exoskeletons, prostheses, and ‘neural’ cursors by brain-machine interface (BMI) systems has been the target of many research projects. A seamless “plug and play” interface between any BMI and end effector is desired, wherein similar user's intent cause similar end effectors to behave identically. This report is based on the outcomes of an IEEE Standards Association Industry Connections working group on End Effectors for Brain-Machine Interfacing that convened to identify and address gaps in the existing standards for BMI-based solutions with a focus on the end-effector component. A roadmap towards standardization of end effectors for BMI systems is discussed by identifying current device standards that are applicable for end effectors. While current standards address basic electrical and mechanical safety, and to some extent, performance requirements, several gaps exist pertaining to unified terminologies, data communication protocols, patient safety and risk mitigation.
Collapse
Affiliation(s)
| | - Justin A Brantley
- University of Houston Houston TX 77204 USA
- Department of BioengineeringUniversity of Pennsylvania Philadelphia PA 19104 USA
| | | | | | | | | | - Jesus G Cruz-Garza
- University of Houston Houston TX 77204 USA
- Department of Design and Environmental AnalysisCornell University Ithaca NY 14853 USA
| | | | | | | | - Md Rashed-Al-Mahfuz
- University of Houston Houston TX 77204 USA
- Department of Computer Science and EngineeringUniversity of Rajshahi Rajshahi 6205 Bangladesh
| | | | - Nikunj A Bhagat
- University of Houston Houston TX 77204 USA
- Feinstein Institutes for Medical Research Manhasset NY 11030 USA
| | | |
Collapse
|
35
|
Bessler J, Prange-Lasonder GB, Schulte RV, Schaake L, Prinsen EC, Buurke JH. Occurrence and Type of Adverse Events During the Use of Stationary Gait Robots-A Systematic Literature Review. Front Robot AI 2020; 7:557606. [PMID: 33501319 PMCID: PMC7805916 DOI: 10.3389/frobt.2020.557606] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 10/05/2020] [Indexed: 12/29/2022] Open
Abstract
Robot-assisted gait training (RAGT) devices are used in rehabilitation to improve patients' walking function. While there are some reports on the adverse events (AEs) and associated risks in overground exoskeletons, the risks of stationary gait trainers cannot be accurately assessed. We therefore aimed to collect information on AEs occurring during the use of stationary gait robots and identify associated risks, as well as gaps and needs, for safe use of these devices. We searched both bibliographic and full-text literature databases for peer-reviewed articles describing the outcomes of stationary RAGT and specifically mentioning AEs. We then compiled information on the occurrence and types of AEs and on the quality of AE reporting. Based on this, we analyzed the risks of RAGT in stationary gait robots. We included 50 studies involving 985 subjects and found reports of AEs in 18 of those studies. Many of the AE reports were incomplete or did not include sufficient detail on different aspects, such as severity or patient characteristics, which hinders the precise counts of AE-related information. Over 169 device-related AEs experienced by between 79 and 124 patients were reported. Soft tissue-related AEs occurred most frequently and were mostly reported in end-effector-type devices. Musculoskeletal AEs had the second highest prevalence and occurred mainly in exoskeleton-type devices. We further identified physiological AEs including blood pressure changes that occurred in both exoskeleton-type and end-effector-type devices. Training in stationary gait robots can cause injuries or discomfort to the skin, underlying tissue, and musculoskeletal system, as well as unwanted blood pressure changes. The underlying risks for the most prevalent injury types include excessive pressure and shear at the interface between robot and human (cuffs/harness), as well as increased moments and forces applied to the musculoskeletal system likely caused by misalignments (between joint axes of robot and human). There is a need for more structured and complete recording and dissemination of AEs related to robotic gait training to increase knowledge on risks. With this information, appropriate mitigation strategies can and should be developed and implemented in RAGT devices to increase their safety.
Collapse
Affiliation(s)
- Jule Bessler
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Gerdienke B Prange-Lasonder
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomechanical Engineering, University of Twente, Enschede, Netherlands
| | - Robert V Schulte
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | | | - Erik C Prinsen
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomechanical Engineering, University of Twente, Enschede, Netherlands
| | - Jaap H Buurke
- Roessingh Research and Development, Enschede, Netherlands.,Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| |
Collapse
|
36
|
Bass A, Aubertin-Leheudre M, Vincent C, Karelis AD, Morin SN, McKerral M, Duclos C, Gagnon DH. Effects of an Overground Walking Program With a Robotic Exoskeleton on Long-Term Manual Wheelchair Users With a Chronic Spinal Cord Injury: Protocol for a Self-Controlled Interventional Study. JMIR Res Protoc 2020; 9:e19251. [PMID: 32663160 PMCID: PMC7545333 DOI: 10.2196/19251] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/30/2020] [Accepted: 07/07/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND In wheelchair users with a chronic spinal cord injury (WUSCI), prolonged nonactive sitting time and reduced physical activity-typically linked to this mode of mobility-contribute to the development or exacerbation of cardiorespiratory, musculoskeletal, and endocrine-metabolic health complications that are often linked to increased risks of chronic pain or psychological morbidity. Limited evidence suggests that engaging in a walking program with a wearable robotic exoskeleton may be a promising physical activity intervention to counter these detrimental health effects. OBJECTIVE This study's overall goals are as follows: (1) to determine the effects of a 16-week wearable robotic exoskeleton-assisted walking program on organic systems, functional capacities, and multifaceted psychosocial factors and (2) to determine self-reported satisfaction and perspectives with regard to the intervention and the device. METHODS A total of 20 WUSCI, who have had their injuries for more than 18 months, will complete an overground wearable robotic exoskeleton-assisted walking program (34 sessions; 60 min/session) supervised by a physiotherapist over a 16-week period (one to three sessions/week). Data will be collected 1 month prior to the program, at the beginning, and at the end as well as 2 months after completing the program. Assessments will characterize sociodemographic characteristics; anthropometric parameters; sensorimotor impairments; pain; lower extremity range of motion and spasticity; wheelchair abilities; cardiorespiratory fitness; upper extremity strength; bone architecture and mineral density at the femur, tibia, and radius; total and regional body composition; health-related quality of life; and psychological health. Interviews and an online questionnaire will be conducted to measure users' satisfaction levels and perspectives at the end of the program. Differences across measurement times will be verified using appropriate parametric or nonparametric analyses of variance for repeated measures. RESULTS This study is currently underway with active recruitment in Montréal, Québec, Canada. Results are expected in the spring of 2021. CONCLUSIONS The results from this study will be essential to guide the development, implementation, and evaluation of future evidence-based wearable robotic exoskeleton-assisted walking programs offered in the community, and to initiate a reflection regarding the use of wearable robotic exoskeletons during initial rehabilitation following a spinal cord injury. TRIAL REGISTRATION ClinicalTrials.gov NCT03989752; https://clinicaltrials.gov/ct2/show/NCT03989752. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/19251.
Collapse
Affiliation(s)
- Alec Bass
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Centre Intégré Universitaire de Santé et Services Sociaux du Centre-Sud-de-l'Île-de-Montréal, Montréal, QC, Canada
| | | | - Claude Vincent
- Department of Rehabilitation, Faculty of Medicine, Université Laval, Québec, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation and Social Integration, Québec, QC, Canada
| | - Antony D Karelis
- Department of Exercise Science, Université du Québec à Montréal, Montréal, QC, Canada
| | - Suzanne N Morin
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Michelle McKerral
- Departement of Psychology, Faculty of Arts and Sciences, Université de Montréal, Montréal, QC, Canada
| | - Cyril Duclos
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Centre Intégré Universitaire de Santé et Services Sociaux du Centre-Sud-de-l'Île-de-Montréal, Montréal, QC, Canada
| | - Dany H Gagnon
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Centre Intégré Universitaire de Santé et Services Sociaux du Centre-Sud-de-l'Île-de-Montréal, Montréal, QC, Canada
| |
Collapse
|
37
|
Delgado AD, Escalon MX, Bryce TN, Weinrauch W, Suarez SJ, Kozlowski AJ. Safety and feasibility of exoskeleton-assisted walking during acute/sub-acute SCI in an inpatient rehabilitation facility: A single-group preliminary study. J Spinal Cord Med 2020; 43:657-666. [PMID: 31603395 PMCID: PMC7534310 DOI: 10.1080/10790268.2019.1671076] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Context/objective: Information on the safety and feasibility of lower extremity powered exoskeletons for persons with acute/sub-acute spinal cord injury (SCI) is limited. Understanding the safety and feasibility of employing powered exoskeletons in acute/sub-acute (<6 months post injury) at a SCI acute inpatient rehabilitation (SCI-AIR) facility could guide clinical practice and provide a basis for larger clinical trials on efficacy and effectiveness. Design: Single group observational study. Setting: SCI-AIR. Participants: Participants (n = 12; age: 28-71 years; 58% AIS D; 58% male) with neurological levels of injuries ranging from C2 to L3. Interventions: Up to 90 min of exoskeleton-assisted locomotor training was provided up to three times per week during SCI-AIR. Outcome measures: Safety of device use during inpatient locomotor training was quantified as the number of adverse events (AE) per device exposure hour. Feasibility of device use was defined in terms of protocol compliance, intensity, and proficiency. Results: Concerning safety, symptomatic hypotension was the most common AE reported at 111-events/exoskeleton-hours. Protocol compliance had a mean (SD) of 54% (30%). For intensity, 77% of participants incorporated variable assistance into at least 1 walking session; 70% of participants' sessions were completed with a higher RPE than the physical therapist. In proficiency, 58% achieved at least minimal assistance when walking with the device. Conclusion: Exoskeleton training in SCI-AIR can be safe and feasible for newly injured individuals with SCI who have clinically defined ambulatory goals. Nonetheless, sufficient controls to minimize risks for AEs, such as hypotensive events, are required.
Collapse
Affiliation(s)
- Andrew D. Delgado
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York City, New York, USA,The Graduate School, Icahn School of Medicine at Mount Sinai, New York City, New York, USA,Correspondence to: Andrew D. Delgado, Department of Rehabilitation Medicine and Human Performance, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, New York10029, USA; Ph: 212-241-9478.
| | - Miguel X. Escalon
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Thomas N. Bryce
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - William Weinrauch
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Stephanie J. Suarez
- Sports Therapy and Rehabilitation Services (STARS), Northwell Health, East Meadow, New York, USA
| | - Allan J. Kozlowski
- Department of Epidemiology and Biostatistics, Michigan State University, Grand Rapids, Michigan, USA,John F. Butzer Center for Research & Innovation, Mary Free Bed Rehabilitation Hospital, Grand Rapids, Michigan, USA
| |
Collapse
|
38
|
Ármannsdóttir AL, Beckerle P, Moreno JC, van Asseldonk EHF, Manrique-Sancho MT, del-Ama AJ, Veneman JF, Briem K. Assessing the Involvement of Users During Development of Lower Limb Wearable Robotic Exoskeletons: A Survey Study. HUMAN FACTORS 2020; 62:351-364. [PMID: 31928418 PMCID: PMC7221858 DOI: 10.1177/0018720819883500] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 09/26/2019] [Indexed: 06/01/2023]
Abstract
OBJECTIVE To explore user-centered design methods currently implemented during development of lower limb wearable robots and how they are utilized during different stages of product development. BACKGROUND Currently, there appears to be a lack of standardized frameworks for evaluation methods and design requirements to implement effective user-centered design for safe and effective clinical or ergonomic system application. METHOD Responses from a total of 191 experts working in the field of lower limb exoskeletons were analyzed in this exploratory survey. Descriptive statistics were used to present responses and measures of frequency, and chi-square tests were used to contrast the answers of respondents who identified as clinicians versus engineers. RESULTS A vast majority of respondents involve users in their development, in particular at the initial and iterative stages, although some differences were found between disciplines. A variety of methods and metrics are used to capture feedback from users and test devices, and although valuable, some methods used may not be based on validated measures. Guidelines regarding tests on safety of exoskeletons also lack standardization. CONCLUSION There seems to be a consensus among experts regarding the importance of a user-centered approach in exoskeleton development; however, standardized frameworks with regard to appropriate testing methods and design approaches are lacking. Such frameworks should consider an interdisciplinary focus on the needs and safety of the intended user during each iteration of the process. APPLICATION This exploratory study provides an overview of current practice among engineers and clinicians regarding the user-centered design of exoskeletons. Limitations and recommendations for future directions are identified.
Collapse
Affiliation(s)
| | - Philipp Beckerle
- Technische Universität Dortmund, Germany and Technische Universität Darmstadt, Germany
| | - Juan C. Moreno
- Spanish National Research Council (CSIC), Cajal Institute, Madrid, Spain
| | | | | | | | | | | |
Collapse
|
39
|
Villa-Parra AC, Lima J, Delisle-Rodriguez D, Vargas-Valencia L, Frizera-Neto A, Bastos T. Assessment of an Assistive Control Approach Applied in an Active Knee Orthosis Plus Walker for Post-Stroke Gait Rehabilitation. SENSORS 2020; 20:s20092452. [PMID: 32357405 PMCID: PMC7249659 DOI: 10.3390/s20092452] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 04/03/2020] [Accepted: 04/15/2020] [Indexed: 01/09/2023]
Abstract
The goal of this study is the assessment of an assistive control approach applied to an active knee orthosis plus a walker for gait rehabilitation. The study evaluates post-stroke patients and healthy subjects (control group) in terms of kinematics, kinetics, and muscle activity. Muscle and gait information of interest were acquired from their lower limbs and trunk, and a comparison was conducted between patients and control group. Signals from plantar pressure, gait phase, and knee angle and torque were acquired during gait, which allowed us to verify that the stance control strategy proposed here was efficient at improving the patients’ gaits (comparing their results to the control group), without the necessity of imposing a fixed knee trajectory. An innovative evaluation of trunk muscles related to the maintenance of dynamic postural equilibrium during gait assisted by our active knee orthosis plus walker was also conducted through inertial sensors. An increase in gait cycle (stance phase) was also observed when comparing the results of this study to our previous work. Regarding the kinematics, the maximum knee torque was lower for patients when compared to the control group, which implies that our orthosis did not demand from the patients a knee torque greater than that for healthy subjects. Through surface electromyography (sEMG) analysis, a significant reduction in trunk muscle activation and fatigability, before and during the use of our orthosis by patients, was also observed. This suggest that our orthosis, together with the assistive control approach proposed here, is promising and could be considered to complement post-stroke patient gait rehabilitation.
Collapse
Affiliation(s)
- Ana Cecilia Villa-Parra
- Biomedical Engineering Research Group—GIIB, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador
- Correspondence: ; Tel.: +593-98-441-2586
| | - Jessica Lima
- Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), Vitoria 29047-105, Brazil
| | - Denis Delisle-Rodriguez
- Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitoria 29075-910, Brazil
| | - Laura Vargas-Valencia
- Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitoria 29075-910, Brazil
| | - Anselmo Frizera-Neto
- Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitoria 29075-910, Brazil
| | - Teodiano Bastos
- Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), Vitoria 29047-105, Brazil
- Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitoria 29075-910, Brazil
| |
Collapse
|
40
|
Pais-Vieira C, Allahdad M, Neves-Amado J, Perrotta A, Morya E, Moioli R, Shapkova E, Pais-Vieira M. Method for positioning and rehabilitation training with the ExoAtlet ® powered exoskeleton. MethodsX 2020; 7:100849. [PMID: 32300543 PMCID: PMC7152710 DOI: 10.1016/j.mex.2020.100849] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 02/25/2020] [Indexed: 11/15/2022] Open
Abstract
Exoskeletons for locomotion, support, or other uses are becoming more common. An increasing number of studies are demonstrating relevant results in rehabilitation. Here we describe the steps required to properly place and train patients in ExoAtlet ® powered exoskeletons (Moscow, Russia), for which there is currently limited information available. These steps combine actions related to the hardware, software, as well as safety, rehabilitation, and psycho-emotional state of the subject. Training starts with a general preparation of the environment, the equipment, and the patient. When the actual training program begins, the patient needs to gradually learn to perform the different actions that will be required to control the exoskeleton. Initially, training requires transferring weight between legs to guarantee adequate equilibrium control. Then, actions assisted by computer-controlled motors begin, namely: standing up, walking in place, moving small distances and sitting down. As the patient becomes comfortable with the exoskeleton and the cardiovascular system becomes adjusted to the upright position, training can then include walking over longer distances, inclined planes, opening doors, and climbing stairs.•Powered exoskeletons are becoming a common method in rehabilitation.•The use of ExoAtlet ® powered exoskeletons in clinical research requires manipulation of variables thought to promote rehabilitation, without compromising safety standards.•The phases of training are: transferring weight between legs, walk in place, and walk over longer distances.
Collapse
Affiliation(s)
- Carla Pais-Vieira
- Center for Interdisciplinary Research in Health, Institute of Health Sciences, Universidade Católica Portuguesa, Porto, Portugal
| | - Mehrab Allahdad
- Center for Interdisciplinary Research in Health, Institute of Health Sciences, Universidade Católica Portuguesa, Porto, Portugal
| | - João Neves-Amado
- Center for Interdisciplinary Research in Health, Institute of Health Sciences, Universidade Católica Portuguesa, Porto, Portugal
| | - André Perrotta
- Centro de Investigação em Ciência e Tecnologia das Artes (CITAR), Escola da Artes, Universidade Católica Portuguesa, Porto, Portugal
| | - Edgard Morya
- Graduate Program in Neuroengineering, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute, Macaíba, Brazil
| | - Renan Moioli
- Graduate Program in Bioinformatics, Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, 59078-970, Brazil
| | - Elena Shapkova
- Laboratory of Neurophysiology and Technologies for Neurorehabilitation, Spinal Center of Research Institute of Phthisiopulmonology, St.Petersburg, Russia
- Laboratory of Neuroprosthetics, Institute of Translational Biomedicine, St.Petersburg State University, St.Petersburg, Russia
| | - Miguel Pais-Vieira
- Center for Interdisciplinary Research in Health, Institute of Health Sciences, Universidade Católica Portuguesa, Porto, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga 4710-057, Portugal
- Clinical Academic Center (2CA-Braga), Braga, Portugal
- iBiMED – Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
- Institute of Biomedical Sciences (iBiMed), Campus Universitario de Santiago, Agra do Crasto - Edificio 30, 3810-193 Aveiro, Portugal
- Corresponding author at: Institute of Biomedical Sciences (iBiMed), Campus Universitario de Santiago, Agra do Crasto ? Edificio 30, 3810-193 Aveiro, Portugal.
| |
Collapse
|
41
|
Wan X, Liu Y, Akiyama Y, Yamada Y. Monitoring Contact Behavior During Assisted Walking With a Lower Limb Exoskeleton. IEEE Trans Neural Syst Rehabil Eng 2020; 28:869-877. [PMID: 32167901 DOI: 10.1109/tnsre.2020.2979986] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Interaction forces between a robotic cuff and the skin during assisted walking with a lower limb exoskeleton may cause skin injuries over time, such as blisters and ulcers. This study proposes a sensing cuff that can monitor the contact behavior between the exoskeleton and skin during assisted walking, and a functional test and assisted walking experiments were conducted to evaluate the performance of the proposed device. The functional test of the sensing cuff showed good performance of capturing the contact behavior for safety evaluation. The walking experiment involved subjects walking on a treadmill with a lower limb exoskeleton under different conditions (i.e., walking speed and clothing), and the sensing cuff attached to the exoskeleton measured the interaction forces and slip velocity. The magnitude of shear force in the movement direction peaked near the beginning and within 40 - 50% of the gait cycle. The contact safety of the lower limb exoskeleton during assisted walking was then evaluated based on the calculated shear stress. The designed sensing cuff could provide sufficient information regarding contact behavior and contact safety during assisted walking.
Collapse
|
42
|
The safety and feasibility of a new rehabilitation robotic exoskeleton for assisting individuals with lower extremity motor complete lesions following spinal cord injury (SCI): an observational study. Spinal Cord 2020; 58:787-794. [PMID: 32034295 DOI: 10.1038/s41393-020-0423-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 01/14/2020] [Accepted: 01/15/2020] [Indexed: 02/05/2023]
Abstract
STUDY DESIGN A pre-post observational study. OBJECTIVES To evaluate the safety and feasibility of a new rehabilitation robotic device for assisting individuals with lower extremity motor complete lesions following spinal cord injury (SCI). SETTING Three hospitals in Sichuan Province, China. METHODS Individuals aged 15-75 years with an SCI between vertebrae six (T6) and lumbar 1 (L1) and complete motor paralysis participated in an exoskeletal-assisted walking (EAW) programme (2 weeks, 5 days/week, 30 min/day). Data were collected pre-, mid- (week 1) and post-intervention (week 2). RESULTS Twenty-eight individuals (mean age = 41.3, 71% males) participated in the EAW programme. The distance walked during the 6-min walking test (6MWT) increased relative to that at baseline, during week 1 (13.0 ± 5.3 m) and week 2 (16.2 ± 5.3 m) when wearing the exoskeleton. The walking speed during the 10-m walking test (10MWT) increased from 0.039 ± 0.016 to 0.045 ± 0.016 m/s. The Hoffer walking ability grade, the Spinal Cord Independence Measure (SCIM), and the Walking Index for SCI II (WISCI II) changed after 2 weeks of EAW. No improvement in lower extremity motor score (LEMS) was observed. The rates of adverse events and serious adverse events were 21% and 4%, respectively. CONCLUSIONS The EAW programme with the new robotic exoskeleton provided potential meaningful improvements in mobility for individuals with SCI and had few adverse events.
Collapse
|
43
|
Bessler J, Schaake L, Kelder R, Buurke JH, Prange-Lasonder GB. Prototype Measuring Device for Assessing Interaction Forces between Human Limbs and Rehabilitation Robots - A Proof of Concept Study. IEEE Int Conf Rehabil Robot 2020; 2019:1109-1114. [PMID: 31374778 DOI: 10.1109/icorr.2019.8779536] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Rehabilitation robots can provide high intensity and dosage training or assist patients in activities of daily living and decrease physical strain on clinicians. However, the physical human robot interaction poses a major safety issue, as the close physical contact between user and robot can lead to injuries. Moreover, the magnitude of forces as well as best practices for measuring them, are widely unknown. Therefore, a measurement setup was developed to assess normal and tangential forces that occur in the contact area between an arm and a splint. Force sensitive resistors and a force / torque sensor were combined with two different splint shapes. Initial experiments indicated that the setup gives some insight into magnitudes and distribution of normal forces on the splint-forearm-interface. Experiment results show a dependency of force distributions on the splint shape and sensor locations. Based on these outcomes, we proposed an improved setup for subsequent investigations.
Collapse
|
44
|
van Herpen FHM, van Dijsseldonk RB, Rijken H, Keijsers NLW, Louwerens JWK, van Nes IJW. Case Report: Description of two fractures during the use of a powered exoskeleton. Spinal Cord Ser Cases 2019; 5:99. [PMID: 31839991 PMCID: PMC6906330 DOI: 10.1038/s41394-019-0244-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 10/29/2019] [Accepted: 10/30/2019] [Indexed: 11/08/2022] Open
Abstract
Introduction Powered robotic exoskeletons are a promising solution to enable standing and walking in patients with spinal cord injury (SCI). Although training and walking with an exoskeleton in motor complete SCI patients is considered safe, the risks of unexpected (technical) adverse events and the risk of fractures are not fully understood. This article reports the occurrence of two different cases of bone fracture during exoskeleton usage. Furthermore, advice is given for extra safety training and instructions. Case presentation The first case concerns a 47-year-old woman with T12 AIS A SCI. Her exoskeleton shut down unexpectedly probably causing a misalignment of the joints of her lower extremities relative to the joints of the exoskeleton, which resulted in a fracture of her left tibia. The second case involves a 39-year-old man with L1 AIS B SCI. An unexpected fracture of the right distal tibia occurred without a specific prior (traumatic) incident. Discussion Exoskeleton training instructors, SCI patients and their buddies should be instructed how to handle emergency situations. Furthermore, they should be aware of the risk of stress fractures of the lower extremities. Proper alignment of the exoskeleton relative to the body is of utmost importance to reduce fracture risk. In the case of swelling and discoloring of the skin, radiographic examination should be performed in order to exclude any fracture.
Collapse
Affiliation(s)
- F. H. M. van Herpen
- Department of Rehabilitation, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - R. B. van Dijsseldonk
- Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - H. Rijken
- Department of Rehabilitation, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - N. L. W. Keijsers
- Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J. W. K. Louwerens
- Department of Orthopaedics, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - I. J. W. van Nes
- Department of Rehabilitation, Sint Maartenskliniek, Nijmegen, The Netherlands
| |
Collapse
|
45
|
Huggins JE, Guger C, Aarnoutse E, Allison B, Anderson CW, Bedrick S, Besio W, Chavarriaga R, Collinger JL, Do AH, Herff C, Hohmann M, Kinsella M, Lee K, Lotte F, Müller-Putz G, Nijholt A, Pels E, Peters B, Putze F, Rupp R, Schalk G, Scott S, Tangermann M, Tubig P, Zander T. Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation. BRAIN-COMPUTER INTERFACES 2019; 6:71-101. [PMID: 33033729 PMCID: PMC7539697 DOI: 10.1080/2326263x.2019.1697163] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 10/30/2019] [Indexed: 12/11/2022]
Abstract
The Seventh International Brain-Computer Interface (BCI) Meeting was held May 21-25th, 2018 at the Asilomar Conference Grounds, Pacific Grove, California, United States. The interactive nature of this conference was embodied by 25 workshops covering topics in BCI (also called brain-machine interface) research. Workshops covered foundational topics such as hardware development and signal analysis algorithms, new and imaginative topics such as BCI for virtual reality and multi-brain BCIs, and translational topics such as clinical applications and ethical assumptions of BCI development. BCI research is expanding in the diversity of applications and populations for whom those applications are being developed. BCI applications are moving toward clinical readiness as researchers struggle with the practical considerations to make sure that BCI translational efforts will be successful. This paper summarizes each workshop, providing an overview of the topic of discussion, references for additional information, and identifying future issues for research and development that resulted from the interactions and discussion at the workshop.
Collapse
Affiliation(s)
- Jane E Huggins
- Department of Physical Medicine and Rehabilitation, Department of Biomedical Engineering, Neuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan, United States, 325 East Eisenhower, Room 3017; Ann Arbor, Michigan 48108-5744
| | - Christoph Guger
- g.tec medical engineering GmbH/Guger Technologies OG, Austria, Sierningstrasse 14, 4521 Schiedlberg, Austria
| | - Erik Aarnoutse
- UMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Brendan Allison
- Dept. of Cognitive Science, Mail Code 0515, University of California at San Diego, La Jolla, United States
| | - Charles W Anderson
- Department of Computer Science, Molecular, Cellular and Integrative Neurosience Program, Colorado State University, Fort Collins, CO 80523
| | - Steven Bedrick
- Center for Spoken Language Understanding, Oregon Health & Science University, Portland, OR 97239
| | - Walter Besio
- Department of Electrical, Computer, & Biomedical Engineering and Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, Rhode Island, USA, CREmedical Corp. Kingston, Rhode Island, USA
| | - Ricardo Chavarriaga
- Defitech Chair in Brain-Machine Interface (CNBI), Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne - EPFL, Switzerland
| | - Jennifer L Collinger
- University of Pittsburgh, Department of Physical Medicine and Rehabilitation, VA Pittsburgh Healthcare System, Department of Veterans Affairs, 3520 5th Ave, Pittsburgh, PA, 15213
| | - An H Do
- UC Irvine Brain Computer Interface Lab, Department of Neurology, University of California, Irvine
| | - Christian Herff
- School of Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Matthias Hohmann
- Max Planck Institute for Intelligent Systems, Department for Empirical Inference, Max-Planck-Ring 4, 72074 Tübingen, Germany
| | - Michelle Kinsella
- Oregon Health & Science University, Institute on Development & Disability, 707 SW Gaines St, #1290, Portland, OR 97239
| | - Kyuhwa Lee
- Swiss Federal Institute of Technology in Lausanne-EPFL
| | - Fabien Lotte
- Inria Bordeaux Sud-Ouest, LaBRI (Univ. Bordeaux/CNRS/Bordeaux INP), 200 avenue de la vieille tour, 33405, Talence Cedex, France
| | | | - Anton Nijholt
- Faculty EEMCS, University of Twente, Enschede, The Netherlands
| | - Elmar Pels
- UMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Betts Peters
- Oregon Health & Science University, Institute on Development & Disability, 707 SW Gaines St, #1290, Portland, OR 97239
| | - Felix Putze
- University of Bremen, Germany, Cognitive Systems Lab, University of Bremen, Enrique-Schmidt-Straße 5 (Cartesium), 28359 Bremen
| | - Rüdiger Rupp
- Spinal Cord Injury Center, Heidelberg University Hospital
| | - Gerwin Schalk
- National Center for Adaptive Neurotechnologies, Wadsworth Center, NYS Dept. of Health, Dept. of Neurology, Albany Medical College, Dept. of Biomed. Sci., State Univ. of New York at Albany, Center for Medical Sciences 2003, 150 New Scotland Avenue, Albany, New York 12208
| | - Stephanie Scott
- Department of Media Communications, Colorado State University, Fort Collins, CO 80523
| | - Michael Tangermann
- Brain State Decoding Lab, Cluster of Excellence BrainLinks-BrainTools, Computer Science Dept., University of Freiburg, Germany, Autonomous Intelligent Systems Lab, Computer Science Dept., University of Freiburg, Germany
| | - Paul Tubig
- Department of Philosophy, Center for Neurotechnology, University of Washington, Savery Hall, Room 361, Seattle, WA 98195
| | - Thorsten Zander
- Team PhyPA, Biological Psychology and Neuroergonomics, Technische Universität Berlin, Berlin, Germany, 7 Zander Laboratories B.V., Amsterdam, The Netherlands
| |
Collapse
|
46
|
Pizzolato C, Saxby DJ, Palipana D, Diamond LE, Barrett RS, Teng YD, Lloyd DG. Neuromusculoskeletal Modeling-Based Prostheses for Recovery After Spinal Cord Injury. Front Neurorobot 2019; 13:97. [PMID: 31849634 PMCID: PMC6900959 DOI: 10.3389/fnbot.2019.00097] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 11/05/2019] [Indexed: 01/12/2023] Open
Abstract
Concurrent stimulation and reinforcement of motor and sensory pathways has been proposed as an effective approach to restoring function after developmental or acquired neurotrauma. This can be achieved by applying multimodal rehabilitation regimens, such as thought-controlled exoskeletons or epidural electrical stimulation to recover motor pattern generation in individuals with spinal cord injury (SCI). However, the human neuromusculoskeletal (NMS) system has often been oversimplified in designing rehabilitative and assistive devices. As a result, the neuromechanics of the muscles is seldom considered when modeling the relationship between electrical stimulation, mechanical assistance from exoskeletons, and final joint movement. A powerful way to enhance current neurorehabilitation is to develop the next generation prostheses incorporating personalized NMS models of patients. This strategy will enable an individual voluntary interfacing with multiple electromechanical rehabilitation devices targeting key afferent and efferent systems for functional improvement. This narrative review discusses how real-time NMS models can be integrated with finite element (FE) of musculoskeletal tissues and interface multiple assistive and robotic devices with individuals with SCI to promote neural restoration. In particular, the utility of NMS models for optimizing muscle stimulation patterns, tracking functional improvement, monitoring safety, and providing augmented feedback during exercise-based rehabilitation are discussed.
Collapse
Affiliation(s)
- Claudio Pizzolato
- School of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.,Griffith Centre for Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - David J Saxby
- School of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.,Griffith Centre for Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Dinesh Palipana
- Griffith Centre for Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia.,The Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia.,Gold Coast Hospital and Health Service, Gold Coast, QLD, Australia.,School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Laura E Diamond
- School of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.,Griffith Centre for Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Rod S Barrett
- School of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.,Griffith Centre for Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Yang D Teng
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, United States.,Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - David G Lloyd
- School of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.,Griffith Centre for Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| |
Collapse
|
47
|
Khan AS, Livingstone DC, Hurd CL, Duchcherer J, Misiaszek JE, Gorassini MA, Manns PJ, Yang JF. Retraining walking over ground in a powered exoskeleton after spinal cord injury: a prospective cohort study to examine functional gains and neuroplasticity. J Neuroeng Rehabil 2019; 16:145. [PMID: 31752911 PMCID: PMC6868817 DOI: 10.1186/s12984-019-0585-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 08/30/2019] [Indexed: 12/12/2022] Open
Abstract
Background Powered exoskeletons provide a way to stand and walk for people with severe spinal cord injury. Here, we used the ReWalk exoskeleton to determine the training dosage required for walking proficiency, the sensory and motor changes in the nervous system with training, and the functionality of the device in a home-like environment. Methods Participants with chronic (> 1 yr) motor complete or incomplete spinal cord injury, who were primarily wheelchair users, were trained to walk in the ReWalk for 12 weeks. Measures were taken before, during, immediately after, and 2–3 months after training. Measures included walking progression, sitting balance, skin sensation, spasticity, and strength of the corticospinal tracts. Results Twelve participants were enrolled with 10 completing training. Training progression and walking ability: The progression in training indicated about 45 sessions to reach 80% of final performance in training. By the end of training, participants walked at speeds of 0.28–0.60 m/s, and distances of 0.74–1.97 km in 1 h. The effort of walking was about 3.3 times that for manual wheelchair propulsion. One non-walker with an incomplete injury became a walker without the ReWalk after training. Sensory and motor measures: Sitting balance was improved in some, as seen from the limits of stability and sway speed. Neuropathic pain showed no long term changes. Change in spasticity was mixed with suggestion of differences between those with high versus low spasticity prior to training. The strength of motor pathways from the brain to back extensor muscles remained unchanged. Adverse events: Minor adverse events were encountered by the participants and trainer (skin abrasions, non-injurious falls). Field testing: The majority of participants could walk on uneven surfaces outdoors. Some limitations were encountered in home-like environments. Conclusion For individuals with severe SCI, walking proficiency in the ReWalk requires about 45 sessions of training. The training was accompanied by functional improvements in some, especially in people with incomplete injuries. Trial registration NCT02322125 Registered 22 December 2014. Electronic supplementary material The online version of this article (10.1186/s12984-019-0585-x) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Atif S Khan
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Donna C Livingstone
- Department of Physical Therapy, University of Alberta, 2-50 Corbett Hall, Edmonton, AB, T6G 2G4, Canada
| | - Caitlin L Hurd
- Department of Physical Therapy, University of Alberta, 2-50 Corbett Hall, Edmonton, AB, T6G 2G4, Canada
| | | | - John E Misiaszek
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada.,Occupational Therapy, University of Alberta, Edmonton, Alberta, Canada
| | - Monica A Gorassini
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada.,Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Patricia J Manns
- Department of Physical Therapy, University of Alberta, 2-50 Corbett Hall, Edmonton, AB, T6G 2G4, Canada
| | - Jaynie F Yang
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada. .,Department of Physical Therapy, University of Alberta, 2-50 Corbett Hall, Edmonton, AB, T6G 2G4, Canada.
| |
Collapse
|
48
|
ZHENG TIANJIAO, LIU GANGFENG, WANG TIANSHUO, ZHANG YU, ZHAO JIE, ZHU YANHE. DEVELOPMENT OF A COMPACT LOWER-LIMB EXOSKELETON FOR WALKING ASSISTANCE: A CASE STUDY. J MECH MED BIOL 2019. [DOI: 10.1142/s0219519419400396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Lower-limb exoskeletons are an effective means to provide paraplegic and hemiplegic individuals with the ability to walk upright. A lot of studies about lower-limb exoskeletons have been developed to assist the impaired populations. However, the existing devices are still too technically complex and expensive for practicality. In this paper, a compact lower-limb exoskeleton for walking assistance is developed, in which a steel-cable actuator is specially designed. In order to accomplish the different tasks presented to gait generation, a control method with multiple stages is employed. In this approach, four basic states and seven intended motions are designed for the finite-state machine. In addition, the reference trajectories of these intended motions are presented and fitted by a modified first-order polynomial-fitting method. Preliminary motion tests of the exoskeleton with three healthy subjects are performed. The results verify the effectiveness of the system design and the gait-generation approach proposed in this paper. The overall exoskeleton system is compact and the corresponding operations are convenient and reliable.
Collapse
Affiliation(s)
- TIANJIAO ZHENG
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
| | - GANGFENG LIU
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
| | - TIANSHUO WANG
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
| | - YU ZHANG
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
| | - JIE ZHAO
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
| | - YANHE ZHU
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
| |
Collapse
|
49
|
He Y, Eguren D, Azorín JM, Grossman RG, Luu TP, Contreras-Vidal JL. Brain-machine interfaces for controlling lower-limb powered robotic systems. J Neural Eng 2019; 15:021004. [PMID: 29345632 DOI: 10.1088/1741-2552/aaa8c0] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Lower-limb, powered robotics systems such as exoskeletons and orthoses have emerged as novel robotic interventions to assist or rehabilitate people with walking disabilities. These devices are generally controlled by certain physical maneuvers, for example pressing buttons or shifting body weight. Although effective, these control schemes are not what humans naturally use. The usability and clinical relevance of these robotics systems could be further enhanced by brain-machine interfaces (BMIs). A number of preliminary studies have been published on this topic, but a systematic understanding of the experimental design, tasks, and performance of BMI-exoskeleton systems for restoration of gait is lacking. APPROACH To address this gap, we applied standard systematic review methodology for a literature search in PubMed and EMBASE databases and identified 11 studies involving BMI-robotics systems. The devices, user population, input and output of the BMIs and robot systems respectively, neural features, decoders, denoising techniques, and system performance were reviewed and compared. MAIN RESULTS Results showed BMIs classifying walk versus stand tasks are the most common. The results also indicate that electroencephalography (EEG) is the only recording method for humans. Performance was not clearly presented in most of the studies. Several challenges were summarized, including EEG denoising, safety, responsiveness and others. SIGNIFICANCE We conclude that lower-body powered exoskeletons with automated gait intention detection based on BMIs open new possibilities in the assistance and rehabilitation fields, although the current performance, clinical benefits and several key challenging issues indicate that additional research and development is required to deploy these systems in the clinic and at home. Moreover, rigorous EEG denoising techniques, suitable performance metrics, consistent trial reporting, and more clinical trials are needed to advance the field.
Collapse
Affiliation(s)
- Yongtian He
- Department of Electrical and Computer Engineering, Noninvasive Brain-Machine Interface Systems Laboratory, University of Houston, Houston, TX 77204, United States of America
| | | | | | | | | | | |
Collapse
|
50
|
Vision-Assisted Interactive Human-in-the-Loop Distal Upper Limb Rehabilitation Robot and its Clinical Usability Test. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9153106] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
In the context of stroke rehabilitation, simple structures and user-intent driven actuation are relevant features to facilitate neuroplasticity as well as deliver a sufficient number of repetitions during a single therapy session. A novel robotic treatment device for distal upper limb rehabilitation in stroke patients was developed, and a usability test was performed to assess its clinical feasibility. The rehabilitation robot was designed as a two-axis exoskeleton actuated by electric motors, consisting of forearm supination/pronation and hand grasp/release, which were selected based on a kinematic analysis of essential daily activities. A vision-assisted algorithm was utilized for user-intent extraction in a human-in-the-loop concept. A usability test was performed on six physiatrists, five biomedical engineers, five rehabilitation therapists, two chronic stroke patients, and two caregivers of the patients. After sufficient instruction, all subjects tested the robot for a minimum of 10 min and completed the evaluation form using a 7-point Likert scale. The participants found the device interesting (5.7 ± 1.2), motivating (5.8 ± 0.9), and as having less possibility of causing injury or safety issues (6.1 ± 1.1); however, the appropriateness of difficulty (4.8 ± 1.9) and comfort level (4.9 ± 1.3) were found to be relatively low. Further development of the current device would provide a good treatment option as a simple, low-cost, and clinically feasible rehabilitation robot for stroke.
Collapse
|