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Fluet G, Qiu Q, Gross A, Gorin H, Patel J, Merians A, Adamovich S. The influence of scaffolding on intrinsic motivation and autonomous adherence to a game-based, sparsely supervised home rehabilitation program for people with upper extremity hemiparesis due to stroke. A randomized controlled trial. J Neuroeng Rehabil 2024; 21:143. [PMID: 39138516 PMCID: PMC11321133 DOI: 10.1186/s12984-024-01441-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 08/08/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND This parallel, randomized controlled trial examined intrinsic motivation, adherence and motor function improvement demonstrated by two groups of subjects that performed a 12-week, home-based upper extremity rehabilitation program. Seventeen subjects played scaffolded games, presenting eight to twelve discrete levels of increasing difficulty. Sixteen subjects performed the same activities controlled by success algorithms that modify game difficulty incrementally. METHODS 33 persons 20-80 years of age, at least 6 months post stroke with moderate to mild hemiparesis were randomized using a random number generator into the two groups. They were tested using the Action Research Arm Test, Upper Extremity Fugl Meyer Assessment, Stroke Impact Scale and Intrinsic Motivation Inventory pre and post training. Adherence was measured using timestamps generated by the gaming system. Subjects had the Home Virtual Rehabilitation System (Qiu in J Neuroeng Rehabil 17: 1-10, 2020) placed in their homes and were taught to perform rehabilitation games using it. Subjects were instructed to train twenty minutes per day but were allowed to train as much as they chose. Subjects trained for 12 weeks without appointments and received intermittent support from study staff. Group outcomes were compared using ANOVA. Correlations between subject demographics and adherence, as well as motor outcome, were evaluated using Pearson Correlation Coefficients. RESULTS There were 5 dropouts and no adverse events. The main effect of time was statistically significant for four of the five clinical outcome measures. There were no significant training group by time interactions. Measures of adherence did not differ significantly between groups. The combined groups improved their UEFMA scores on average by 5.85 (95% CI 4.73-6.98). 21 subjects from both groups demonstrating improvements in UEFMA scores of at least 5 points, exceeding the minimal clinically important difference of 4.25. IMI scores were stable pre to post training. CONCLUSIONS Scaffolding challenges during game based rehabilitation did not elicit higher levels of adherence when compared to algorithm control of game difficulty. Both sparsely supervised programs of game-based treatment in the home were sufficient to elicit statistically significant, clinically meaningful improvements in motor function and activities of daily living. TRIAL REGISTRATION Clinical Trials.gov-NCT03985761, Registered June 14, 2019.
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Affiliation(s)
- Gerard Fluet
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, 65 Bergen St, Newark, NJ, 07101, USA.
| | - Qinyin Qiu
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, 65 Bergen St, Newark, NJ, 07101, USA
| | - Amanda Gross
- Department of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ, 07015, USA
| | - Holly Gorin
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, 65 Bergen St, Newark, NJ, 07101, USA
| | - Jigna Patel
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, 65 Bergen St, Newark, NJ, 07101, USA
| | - Alma Merians
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, 65 Bergen St, Newark, NJ, 07101, USA
| | - Sergei Adamovich
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, 65 Bergen St, Newark, NJ, 07101, USA
- Department of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ, 07015, USA
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Qiu Q, Mont AJ, Gross A, Fluet G, Adamovich S, Eriksson M. Validation of the Kinematic Assessment Protocol Used in the Technology-Supported Neurorehabilitation System, Rehabilitation Technologies for Hand and Arm (R3THA™), in Children and Teenagers with Cerebral Palsy. SENSORS (BASEL, SWITZERLAND) 2024; 24:5013. [PMID: 39124059 PMCID: PMC11314647 DOI: 10.3390/s24155013] [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: 05/30/2024] [Revised: 07/19/2024] [Accepted: 07/30/2024] [Indexed: 08/12/2024]
Abstract
This study evaluates the R3THA™ assessment protocol (R3THA-AP™), a technology-supported testing module for personalized rehabilitation in children with cerebral palsy (CP). It focuses on the reliability and validity of the R3THA-AP in assessing hand and arm function, by comparing kinematic assessments with standard clinical assessments. Conducted during a 4-week summer camp, the study assessed the functional and impairment levels of children with CP aged 3-18. The findings suggest that R3THA is more reliable for children aged 8 and older, indicating that age significantly influences the protocol's effectiveness. The results also showed that the R3THA-AP's kinematic measurements of hand and wrist movements are positively correlated with the Box and Blocks Test Index (BBTI), reflecting hand function and dexterity. Additionally, the R3THA-AP's accuracy metrics for hand and wrist activities align with the Melbourne Assessment 2's Range of Motion (MA2-ROM) scores, suggesting a meaningful relationship between R3THA-AP data and clinical assessments of motor skills. However, no significant correlations were observed between the R3THA-AP and MA2's accuracy and dexterity measurements, indicating areas for further research. These findings validate the R3THA-AP's utility in assessing motor abilities in CP patients, supporting its integration into clinical practice.
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Affiliation(s)
- Qinyin Qiu
- NeuroTechR3, Inc., 211 Warren Street, Newark, NJ 07103, USA; (A.J.M.)
- Rutgers Biomedical and Health Sciences, Rutgers University, 65 Bergen St, Newark, NJ 07107, USA;
| | - Ashley J. Mont
- NeuroTechR3, Inc., 211 Warren Street, Newark, NJ 07103, USA; (A.J.M.)
- Department of Biomedical Engineering, New Jersey Institute of Technology, 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102, USA;
| | - Amanda Gross
- NeuroTechR3, Inc., 211 Warren Street, Newark, NJ 07103, USA; (A.J.M.)
| | - Gerard Fluet
- Rutgers Biomedical and Health Sciences, Rutgers University, 65 Bergen St, Newark, NJ 07107, USA;
| | - Sergei Adamovich
- Department of Biomedical Engineering, New Jersey Institute of Technology, 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102, USA;
| | - Mee Eriksson
- NeuroTechR3, Inc., 211 Warren Street, Newark, NJ 07103, USA; (A.J.M.)
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Fluet GG, Gorin H, Rothpletz Puglia P, Qiu Q, Patel J, Merians AS, Cronce AL, Adamovich SV. A Convergent Mixed Methods Design to Assess the Use of the Home Virtual Rehabilitation System By Persons with Chronic Stroke. Games Health J 2024; 13:278-287. [PMID: 38563678 DOI: 10.1089/g4h.2024.0006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
Purpose: Patients poststroke utilized the Home Virtual Rehabilitation System (HoVRS) to perform home-based, gamified upper extremity rehabilitation over 12 weeks. Outcomes related to adherence and clinical improvement were collected, and semistructured interviews were conducted to assess intrinsic and extrinsic motivators that impacted engagement with the system. Methods: Subjects performed between 299 and 2020 minutes of self-scheduled, sparsely supervised hand rehabilitation activities in their homes. Results: As a group, the subjects demonstrated statistically significant improvements at the structure/function, activity, and activities of daily living levels of function. Qualitative analysis generated seven themes that both positively and negatively influenced each subject's experience with HoVRS, including challenge as a primary intrinsic motivator and pursuing additional therapy and/or a return to higher functional status as a key extrinsic motivator. Subjects' ratings of the system using the Intrinsic Motivation Inventory before and after treatment were uniformly positive, but interview-based feedback was more balanced between positive and negative.
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Affiliation(s)
- Gerard G Fluet
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, Newark, New Jersey, USA
| | - Holly Gorin
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, Newark, New Jersey, USA
| | - Pamela Rothpletz Puglia
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, Newark, New Jersey, USA
| | - Qinyin Qiu
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, Newark, New Jersey, USA
| | - Jigna Patel
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, Newark, New Jersey, USA
| | - Alma S Merians
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers The State University of New Jersey, Newark, New Jersey, USA
| | - Amanda L Cronce
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Sergei V Adamovich
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
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Berger DJ, d’Avella A. Myoelectric control and virtual reality to enhance motor rehabilitation after stroke. Front Bioeng Biotechnol 2024; 12:1376000. [PMID: 38665814 PMCID: PMC11043476 DOI: 10.3389/fbioe.2024.1376000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024] Open
Abstract
Effective upper-limb rehabilitation for severely impaired stroke survivors is still missing. Recent studies endorse novel motor rehabilitation approaches such as robotic exoskeletons and virtual reality systems to restore the function of the paretic limb of stroke survivors. However, the optimal way to promote the functional reorganization of the central nervous system after a stroke has yet to be uncovered. Electromyographic (EMG) signals have been employed for prosthetic control, but their application to rehabilitation has been limited. Here we propose a novel approach to promote the reorganization of pathological muscle activation patterns and enhance upper-limb motor recovery in stroke survivors by using an EMG-controlled interface to provide personalized assistance while performing movements in virtual reality (VR). We suggest that altering the visual feedback to improve motor performance in VR, thereby reducing the effect of deviations of the actual, dysfunctional muscle patterns from the functional ones, will actively engage patients in motor learning and facilitate the restoration of functional muscle patterns. An EMG-controlled VR interface may facilitate effective rehabilitation by targeting specific changes in the structure of muscle synergies and in their activations that emerged after a stroke-offering the possibility to provide rehabilitation therapies addressing specific individual impairments.
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Affiliation(s)
- Denise Jennifer Berger
- Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
- Department of Systems Medicine, Centre of Space Bio-medicine, University of Rome Tor Vergata, Rome, Italy
| | - Andrea d’Avella
- Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
- Department of Biology, University of Rome Tor Vergata, Rome, Italy
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Abedi A, Colella TJF, Pakosh M, Khan SS. Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review. NPJ Digit Med 2024; 7:25. [PMID: 38310158 PMCID: PMC10838287 DOI: 10.1038/s41746-024-00998-w] [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: 04/14/2023] [Accepted: 01/03/2024] [Indexed: 02/05/2024] Open
Abstract
Virtual Rehabilitation (VRehab) is a promising approach to improving the physical and mental functioning of patients living in the community. The use of VRehab technology results in the generation of multi-modal datasets collected through various devices. This presents opportunities for the development of Artificial Intelligence (AI) techniques in VRehab, namely the measurement, detection, and prediction of various patients' health outcomes. The objective of this scoping review was to explore the applications and effectiveness of incorporating AI into home-based VRehab programs. PubMed/MEDLINE, Embase, IEEE Xplore, Web of Science databases, and Google Scholar were searched from inception until June 2023 for studies that applied AI for the delivery of VRehab programs to the homes of adult patients. After screening 2172 unique titles and abstracts and 51 full-text studies, 13 studies were included in the review. A variety of AI algorithms were applied to analyze data collected from various sensors and make inferences about patients' health outcomes, most involving evaluating patients' exercise quality and providing feedback to patients. The AI algorithms used in the studies were mostly fuzzy rule-based methods, template matching, and deep neural networks. Despite the growing body of literature on the use of AI in VRehab, very few studies have examined its use in patients' homes. Current research suggests that integrating AI with home-based VRehab can lead to improved rehabilitation outcomes for patients. However, further research is required to fully assess the effectiveness of various forms of AI-driven home-based VRehab, taking into account its unique challenges and using standardized metrics.
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Affiliation(s)
- Ali Abedi
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.
| | - Tracey J F Colella
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Maureen Pakosh
- Library & Information Services, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Shehroz S Khan
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
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Proietti T, Nuckols K, Grupper J, Schwerz de Lucena D, Inirio B, Porazinski K, Wagner D, Cole T, Glover C, Mendelowitz S, Herman M, Breen J, Lin D, Walsh C. Combining soft robotics and telerehabilitation for improving motor function after stroke. WEARABLE TECHNOLOGIES 2024; 5:e1. [PMID: 38510985 PMCID: PMC10952055 DOI: 10.1017/wtc.2023.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 11/07/2023] [Accepted: 12/02/2023] [Indexed: 03/22/2024]
Abstract
Telerehabilitation and robotics, either traditional rigid or soft, have been extensively studied and used to improve hand functionality after a stroke. However, a limited number of devices combined these two technologies to such a level of maturity that was possible to use them at the patients' home, unsupervised. Here we present a novel investigation that demonstrates the feasibility of a system that integrates a soft inflatable robotic glove, a cloud-connected software interface, and a telerehabilitation therapy. Ten chronic moderate-to-severe stroke survivors independently used the system at their home for 4 weeks, following a software-led therapy and being in touch with occupational therapists. Data from the therapy, including automatic assessments by the robot, were available to the occupational therapists in real-time, thanks to the cloud-connected capability of the system. The participants used the system intensively (about five times more movements per session than the standard care) for a total of more than 8 hr of therapy on average. We were able to observe improvements in standard clinical metrics (FMA +3.9 ± 4.0, p < .05, COPM-P + 2.5 ± 1.3, p < .05, COPM-S + 2.6 ± 1.9, p < .05, MAL-AOU +6.6 ± 6.5, p < .05) and range of motion (+88%) at the end of the intervention. Despite being small, these improvements sustained at follow-up, 2 weeks after the end of the therapy. These promising results pave the way toward further investigation for the deployment of combined soft robotic/telerehabilitive systems at-home for autonomous usage for stroke rehabilitation.
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Affiliation(s)
- Tommaso Proietti
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Kristin Nuckols
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Jesse Grupper
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Diogo Schwerz de Lucena
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Bianca Inirio
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | | | - Diana Wagner
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Tazzy Cole
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Christina Glover
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Sarah Mendelowitz
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Maxwell Herman
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Joan Breen
- Whittier Rehabilitation Hospital, Bradford, MA, USA
| | - David Lin
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- VA RR&D Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI, USA
| | - Conor Walsh
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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Gebreheat G, Goman A, Porter-Armstrong A. The use of home-based digital technology to support post-stroke upper limb rehabilitation: A scoping review. Clin Rehabil 2024; 38:60-71. [PMID: 37469176 PMCID: PMC10631286 DOI: 10.1177/02692155231189257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 07/05/2023] [Indexed: 07/21/2023]
Abstract
OBJECTIVE To identify, map and synthesize the extent and nature of existing studies on the use of home-based digital technology to support post-stroke upper limb rehabilitation. DATA SOURCES A comprehensive literature search was completed between 30 May 2022 and 05 April 2023, from seven online databases (CINAHL, Cochrane Library, PubMed, ScienceDirect, IEEExplore, Web of Science and PEDro), Google Scholar and the reference lists of already identified articles. METHODS A scoping review was conducted according to Arksey and O'Malley (2005), and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. All English-language studies reporting on the use of home-based digital technology to support upper limb post-stroke rehabilitation were eligible for inclusion. RESULTS The search generated a total of 1895 records, of which 76 articles met the inclusion criteria. Of these, 52 were experimental studies and the rest, qualitative, case series and case studies. Of the overall 2149 participants, 2028 were stroke survivors with upper limb impairment. The majority of studies were aimed at developing, designing and/or assessing the feasibility, acceptability and efficacy of a digital system for poststroke upper limb rehabilitation in home settings. The thematic analysis found six major categories: Tele-rehabilitation (n = 29), games (n = 45), virtual reality (n = 26), sensor (n = 22), mobile technology (n = 22), and robotics (n = 8). CONCLUSION The digital technologies used in post-stroke upper limb rehabilitation were multimodal, and system-based comprising telerehabilitation, gamification, virtual reality, mobile technology, sensors and robotics. Furthermore, future research should focus to determine the effectiveness of these modalities.
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Affiliation(s)
- Gdiom Gebreheat
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Adele Goman
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
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Devittori G, Ranzani R, Dinacci D, Romiti D, Califfi A, Petrillo C, Rossi P, Gassert R, Lambercy O. Progressive Transition From Supervised to Unsupervised Robot-Assisted Therapy After Stroke: Protocol for a Single-Group, Interventional Feasibility Study. JMIR Res Protoc 2023; 12:e48485. [PMID: 37943580 PMCID: PMC10667973 DOI: 10.2196/48485] [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: 04/25/2023] [Revised: 09/21/2023] [Accepted: 10/02/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Increasing the dose of therapy delivered to patients with stroke may improve functional outcomes and quality of life. Unsupervised technology-assisted rehabilitation is a promising way to increase the dose of therapy without dramatically increasing the burden on the health care system. Despite the many existing technologies for unsupervised rehabilitation, active rehabilitation robots have rarely been tested in a fully unsupervised way. Furthermore, the outcomes of unsupervised technology-assisted therapy (eg, feasibility, acceptance, and increase in therapy dose) vary widely. This might be due to the use of different technologies as well as to the broad range of methods applied to teach the patients how to independently train with a technology. OBJECTIVE This paper describes the study design of a clinical study investigating the feasibility of unsupervised therapy with an active robot and of a systematic approach for the progressive transition from supervised to unsupervised use of a rehabilitation technology in a clinical setting. The effect of unsupervised therapy on achievable therapy dose, user experience in this therapy setting, and the usability of the rehabilitation technology are also evaluated. METHODS Participants of the clinical study are inpatients of a rehabilitation clinic with subacute stroke undergoing a 4-week intervention where they train with a hand rehabilitation robot. The first week of the intervention is supervised by a therapist, who teaches participants how to interact and train with the device. The second week consists of minimally supervised therapy, where the therapist is present but intervenes only if needed as participants exercise with the device. If the participants properly learn how to train with the device, they proceed to the unsupervised phase and train without any supervision during the third and fourth weeks. Throughout the duration of the study, data on feasibility and therapy dose (ie, duration and repetitions) are collected. Usability and user experience are evaluated at the end of the second (ie, minimally supervised) and fourth (ie, unsupervised) weeks, allowing us to investigate the effect of therapist absence. RESULTS As of April 2023, 13 patients were recruited and completed the protocol, with no reported adverse events. CONCLUSIONS This study will inform on the feasibility of fully unsupervised rehabilitation with an active rehabilitation robot in a clinical setting and its effect on therapy dose. Furthermore, if successful, the proposed systematic approach for a progressive transition from supervised to unsupervised technology-assisted rehabilitation could serve as a benchmark to allow for easier comparisons between different technologies. This approach could also be extended to the application of such technologies in the home environment, as the supervised and minimally supervised sessions could be performed in the clinic, followed by unsupervised therapy at home after discharge. TRIAL REGISTRATION ClinicalTrials.gov NCT04388891; https://clinicaltrials.gov/study/NCT04388891. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/48485.
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Affiliation(s)
- Giada Devittori
- Rehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland
| | - Raffaele Ranzani
- Rehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland
| | - Daria Dinacci
- Clinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland
| | - Davide Romiti
- Clinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland
| | - Antonella Califfi
- Clinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland
| | - Claudio Petrillo
- Clinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland
| | - Paolo Rossi
- Clinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland
| | - Roger Gassert
- Rehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - Olivier Lambercy
- Rehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
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Vibhuti, Kumar N, Kataria C. Efficacy assessment of virtual reality therapy for neuromotor rehabilitation in home environment: a systematic review. Disabil Rehabil Assist Technol 2023; 18:1200-1220. [PMID: 34761705 DOI: 10.1080/17483107.2021.1998674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 10/16/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE Neuromotor impairments can affect any part of the body. It leads to many disorders, injuries, or disabilities, conventional rehabilitation is a long, rigorous, and tedious process. There is a need to inculcate new and innovative techniques in rehabilitation processes, to increase individuals' interest and overall performance with such therapies. Virtual Reality is considered a new technology that has the potential to be a useful aid in overcoming therapeutic problems in clinical and home-based environments. However, providing home-based rehabilitation is more practicable, cost-effective, and even safer than in-hospital rehabilitation. In addition, the need for home-based rehabilitation is growing as the number of neuromotor disorders rises and the capacity of acute inpatient rehabilitation decreases. Therefore, the main objective of this study was to assess the efficacy of a home-based Virtual Reality exercise treatment to identify the areas for future rehabilitation research. MATERIALS AND METHODS Data Extraction of 24,257 articles from seven databases were identified and the review is narrowed down and only 45 studies were focussed on efficacy assessment of Virtual Reality in the home environment. RESULTS The significant outcome of the effective home-based therapy system for the exercise improved functional ability, increasing range of motion, and motivation through Virtual reality-based rehabilitation is inferred. CONCLUSION Unlike clinical settings, a home-based system provides efficacious therapy with a controlled environment. This survey facilitates bettering methods and devices for neuromotor disorders. It is a good living long-term problem-solving approach and investigates awareness, needs, and a preferred component of home-based rehabilitation services.IMPLICATIONS FOR REHABILITATIONVR-based rehabilitation in the home environment has many physical and mental benefits in persons with neuromotor disorders.The most commonly neuromotor disorders considered in the study were Stroke, Spinal Cord Injury, Parkinson's disease, and Cerebral Palsy.Assistive technologies in home environments can compensate for long-term disorders or be used in rehabilitation as an addition to conventional therapy.The study gives an overview of current interventions and how they can be of benefit for a person suffering from neuromotor disorders in the home environment.
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Affiliation(s)
- Vibhuti
- Academy of Scientific and Innovative Research, Ghaziabad, India
- Biomedical Applications, CSIR-Central Scientific Instruments Organisation, Chandigarh, India
| | - Neelesh Kumar
- Academy of Scientific and Innovative Research, Ghaziabad, India
- Biomedical Applications, CSIR-Central Scientific Instruments Organisation, Chandigarh, India
| | - Chitra Kataria
- Department of Rehabilitation Services, Indian Spinal Injuries Center, New Delhi, India
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Faria AL, Latorre J, Silva Cameirão M, Bermúdez i Badia S, Llorens R. Ecologically valid virtual reality-based technologies for assessment and rehabilitation of acquired brain injury: a systematic review. Front Psychol 2023; 14:1233346. [PMID: 37711328 PMCID: PMC10497882 DOI: 10.3389/fpsyg.2023.1233346] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/03/2023] [Indexed: 09/16/2023] Open
Abstract
Purpose A systematic review was conducted to examine the state of the literature regarding using ecologically valid virtual environments and related technologies to assess and rehabilitate people with Acquired Brain Injury (ABI). Materials and methods A literature search was performed following the PRISMA guidelines using PubMed, Web of Science, ACM and IEEE databases. The focus was on assessment and intervention studies using ecologically valid virtual environments (VE). All studies were included if they involved individuals with ABI and simulated environments of the real world or Activities of Daily Living (ADL). Results Seventy out of 363 studies were included in this review and grouped and analyzed according to the nature of its simulation, prefacing a total of 12 kitchens, 11 supermarkets, 10 shopping malls, 16 streets, 11 cities, and 10 other everyday life scenarios. These VE were mostly presented on computer screens, HMD's and laptops and patients interacted with them primarily via mouse, keyboard, and joystick. Twenty-five out of 70 studies had a non-experimental design. Conclusion Evidence about the clinical impact of ecologically valid VE is still modest, and further research with more extensive samples is needed. It is important to standardize neuropsychological and motor outcome measures to strengthen conclusions between studies. Systematic review registration identifier CRD42022301560, https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=301560.
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Affiliation(s)
- Ana Lúcia Faria
- Faculdade de Artes e Humanidades, Universidade da Madeira, Funchal, Portugal
- NOVA Laboratory for Computer Science and Informatics, Lisbon, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
| | - Jorge Latorre
- Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
- NEURORHB, Servicio de Neurorrehabilitación de Hospitales Vithas, Valencia, Spain
| | - Mónica Silva Cameirão
- NOVA Laboratory for Computer Science and Informatics, Lisbon, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Faculdade de Ciências Exatas e da Engenharia, Universidade da Madeira, Funchal, Portugal
| | - Sergi Bermúdez i Badia
- NOVA Laboratory for Computer Science and Informatics, Lisbon, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Faculdade de Ciências Exatas e da Engenharia, Universidade da Madeira, Funchal, Portugal
| | - Roberto Llorens
- Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
- NEURORHB, Servicio de Neurorrehabilitación de Hospitales Vithas, Valencia, Spain
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11
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Mariscal DM, Sombric CJ, Torres-Oviedo G. Age-specific walking speed during locomotor adaptation leads to more generalization across contexts. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.10.552802. [PMID: 37645865 PMCID: PMC10461905 DOI: 10.1101/2023.08.10.552802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Previous work has shown that compared with young adults, older adults generalize their walking patterns more across environments that impose different motor demands (i.e., split-belt treadmill vs. overground). However, in this previous study, all participants walked at a speed that was more comfortable for older adults than young participants, which leads to the question of whether young adults would generalize more their walking patterns than older adults when exposed to faster speeds that are more comfortable for them. To address this question, we examined the interaction between healthy aging and walking speed on the generalization of a pattern learned on a split-belt treadmill (i.e., legs moving at different speeds) to overground. We hypothesized that walking speed during split-belt walking regulates the generalization of walking patterns in an age-specific manner. To this end, groups of young (<30 y/o) and older (65+ y/o) adults adapted their gait on a split-belt treadmill at either slower or faster walking speeds. We assessed the generalization of movements between the groups by quantifying their aftereffects during overground walking, where larger overground aftereffects represent more generalization, and zero aftereffects represent no generalization. We found an interaction between age and walking speed in the generalization of walking patterns. More specifically, older adults generalized more when adapted at slower speeds, whereas younger adults did so when adapted at faster speeds. These results suggest that comfortable walking speeds lead to more generalization of newly acquired motor patterns beyond the training contexts.
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Affiliation(s)
- Dulce M. Mariscal
- Sensorimotor Learning Laboratory, Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA, 15260
- Center for the Neural Basis of Cognition, University of Pittsburgh, PA, USA, 15260
| | - Carly J. Sombric
- Sensorimotor Learning Laboratory, Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA, 15260
| | - Gelsy Torres-Oviedo
- Sensorimotor Learning Laboratory, Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA, 15260
- Center for the Neural Basis of Cognition, University of Pittsburgh, PA, USA, 15260
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12
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Banduni O, Saini M, Singh N, Nath D, Kumaran SS, Kumar N, Srivastava MVP, Mehndiratta A. Post-Stroke Rehabilitation of Distal Upper Limb with New Perspective Technologies: Virtual Reality and Repetitive Transcranial Magnetic Stimulation-A Mini Review. J Clin Med 2023; 12:2944. [PMID: 37109280 PMCID: PMC10142518 DOI: 10.3390/jcm12082944] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 04/12/2023] [Accepted: 04/15/2023] [Indexed: 04/29/2023] Open
Abstract
Upper extremity motor impairment is the most common sequelae in patients with stroke. Moreover, its continual nature limits the optimal functioning of patients in the activities of daily living. Because of the intrinsic limitations in the conventional form of rehabilitation, the rehabilitation applications have been expanded to technology-driven solutions, such as Virtual Reality and Repetitive Transcranial Magnetic Stimulation (rTMS). The motor relearning processes are influenced by variables, such as task specificity, motivation, and feedback provision, and a VR environment in the form of interactive games could provide novel and motivating customized training solutions for better post-stroke upper limb motor improvement. rTMS being a precise non-invasive brain stimulation method with good control of stimulation parameters, has the potential to facilitate neuroplasticity and hence a good recovery. Although several studies have discussed these forms of approaches and their underlying mechanisms, only a few of them have specifically summarized the synergistic applications of these paradigms. To bridge the gaps, this mini review presents recent research and focuses precisely on the applications of VR and rTMS in distal upper limb rehabilitation. It is anticipated that this article will provide a better representation of the role of VR and rTMS in distal joint upper limb rehabilitation in patients with stroke.
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Affiliation(s)
- Onika Banduni
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India
| | - Megha Saini
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India
| | - Neha Singh
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India
| | - Debasish Nath
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India
| | - S. Senthil Kumaran
- Department of Nuclear Medicine and Resonance, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
| | - Nand Kumar
- Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
| | - M. V. Padma Srivastava
- Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
| | - Amit Mehndiratta
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India
- Department of Biomedical Engineering, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
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13
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Worlikar H, Coleman S, Kelly J, O'Connor S, Murray A, McVeigh T, Doran J, McCabe I, O'Keeffe D. Mixed Reality Platforms in Telehealth Delivery: Scoping Review. JMIR BIOMEDICAL ENGINEERING 2023; 8:e42709. [PMID: 38875694 PMCID: PMC11041465 DOI: 10.2196/42709] [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: 09/14/2022] [Revised: 11/03/2022] [Accepted: 11/16/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The distinctive features of the digital reality platforms, namely augmented reality (AR), virtual reality (VR), and mixed reality (MR) have extended to medical education, training, simulation, and patient care. Furthermore, this digital reality technology seamlessly merges with information and communication technology creating an enriched telehealth ecosystem. This review provides a composite overview of the prospects of telehealth delivered using the MR platform in clinical settings. OBJECTIVE This review identifies various clinical applications of high-fidelity digital display technology, namely AR, VR, and MR, delivered using telehealth capabilities. Next, the review focuses on the technical characteristics, hardware, and software technologies used in the composition of AR, VR, and MR in telehealth. METHODS We conducted a scoping review using the methodological framework and reporting design using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Full-length articles in English were obtained from the Embase, PubMed, and Web of Science databases. The search protocol was based on the following keywords and Medical Subject Headings to obtain relevant results: "augmented reality," "virtual reality," "mixed-reality," "telemedicine," "telehealth," and "digital health." A predefined inclusion-exclusion criterion was developed in filtering the obtained results and the final selection of the articles, followed by data extraction and construction of the review. RESULTS We identified 4407 articles, of which 320 were eligible for full-text screening. A total of 134 full-text articles were included in the review. Telerehabilitation, telementoring, teleconsultation, telemonitoring, telepsychiatry, telesurgery, and telediagnosis were the segments of the telehealth division that explored the use of AR, VR, and MR platforms. Telerehabilitation using VR was the most commonly recurring segment in the included studies. AR and MR has been mainly used for telementoring and teleconsultation. The most important technical features of digital reality technology to emerge with telehealth were virtual environment, exergaming, 3D avatars, telepresence, anchoring annotations, and first-person viewpoint. Different arrangements of technology-3D modeling and viewing tools, communication and streaming platforms, file transfer and sharing platforms, sensors, high-fidelity displays, and controllers-formed the basis of most systems. CONCLUSIONS This review constitutes a recent overview of the evolving digital AR and VR in various clinical applications using the telehealth setup. This combination of telehealth with AR, VR, and MR allows for remote facilitation of clinical expertise and further development of home-based treatment. This review explores the rapidly growing suite of technologies available to users within the digital health sector and examines the opportunities and challenges they present.
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Affiliation(s)
- Hemendra Worlikar
- Health Innovation Via Engineering Laboratory, Cúram Science Foundation Ireland Research Centre for Medical Devices, University of Galway, Galway, Ireland
| | - Sean Coleman
- Health Innovation Via Engineering Laboratory, Cúram Science Foundation Ireland Research Centre for Medical Devices, University of Galway, Galway, Ireland
- Department of Medicine, University Hospital Galway, Galway, Ireland
| | - Jack Kelly
- Health Innovation Via Engineering Laboratory, Cúram Science Foundation Ireland Research Centre for Medical Devices, University of Galway, Galway, Ireland
- Department of Medicine, University Hospital Galway, Galway, Ireland
| | - Sadhbh O'Connor
- Health Innovation Via Engineering Laboratory, Cúram Science Foundation Ireland Research Centre for Medical Devices, University of Galway, Galway, Ireland
- Department of Medicine, University Hospital Galway, Galway, Ireland
| | - Aoife Murray
- Health Innovation Via Engineering Laboratory, Cúram Science Foundation Ireland Research Centre for Medical Devices, University of Galway, Galway, Ireland
| | - Terri McVeigh
- Cancer Genetics Unit, The Royal Marsden National Health Service Foundation Trust, London, United Kingdom
| | - Jennifer Doran
- Health Innovation Via Engineering Laboratory, Cúram Science Foundation Ireland Research Centre for Medical Devices, University of Galway, Galway, Ireland
| | - Ian McCabe
- Health Innovation Via Engineering Laboratory, Cúram Science Foundation Ireland Research Centre for Medical Devices, University of Galway, Galway, Ireland
| | - Derek O'Keeffe
- Department of Medicine, University Hospital Galway, Galway, Ireland
- School of Medicine, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
- Lero, Science Foundation Ireland Centre for Software Research, University of Limerick, Limerick, Ireland
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14
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MontJohnson A, Cronce A, Qiu Q, Patel J, Eriksson M, Merians A, Adamovich S, Fluet G. Laboratory-Based Examination of the Reliability and Validity of Kinematic Measures of Wrist and Finger Function Collected by a Telerehabilitation System in Persons with Chronic Stroke. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23052656. [PMID: 36904860 PMCID: PMC10007090 DOI: 10.3390/s23052656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 06/09/2023]
Abstract
We have developed the New Jersey Institute of Technology-Home Virtual Rehabilitation System (NJIT-HoVRS) to facilitate intensive, hand-focused rehabilitation in the home. We developed testing simulations with the goal of providing richer information for clinicians performing remote assessments. This paper presents the results of reliability testing examining differences between in-person and remote testing as well as discriminatory and convergent validity testing of a battery of six kinematic measures collected with NJIT-HoVRS. Two different groups of persons with upper extremity impairments due to chronic stroke participated in two separate experiments. Data Collection: All data collection sessions included six kinematic tests collected with the Leap Motion Controller. Measurements collected include hand opening range, wrist extension range, pronation-supination range, hand opening accuracy, wrist extension accuracy, and pronation-supination accuracy. The system usability was evaluated by therapists performing the reliability study using the System Usability Scale. When comparing the in-laboratory collection and the first remote collection, the intra-class correlation coefficients (ICC) for three of the six measurements were above 0.900 and the other three were between 0.500 and 0.900. Two of the first remote collection/second remote collection ICCs were above 0.900, and the other four were between 0.600 and 0.900. The 95% confidence intervals for these ICC were broad, suggesting that these preliminary analyses need to be confirmed by studies with larger samples. The therapist's SUS scores ranged from 70 to 90. The mean was 83.1 (SD = 6.4), which is consistent with industry adoption. There were statistically significant differences in the kinematic scores when comparing unimpaired and impaired UE for all six measures. Five of six impaired hand kinematic scores and five of six impaired/unimpaired hand difference scores demonstrated correlations between 0.400 and 0.700 with UEFMA scores. Reliability for all measures was acceptable for clinical practice. Discriminant and convergent validity testing suggest that scores on these tests may be meaningful and valid. Further testing in a remote setting is necessary to validate this process.
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Affiliation(s)
- Ashley MontJohnson
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07105, USA
- NeurotechR3 Inc., Warren, NJ 07059, USA
| | - Amanda Cronce
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07105, USA
- NeurotechR3 Inc., Warren, NJ 07059, USA
| | - Qinyin Qiu
- NeurotechR3 Inc., Warren, NJ 07059, USA
- School of Health Professions, Department of Rehabilitation and Movement Sciences, Rutgers, The State University of New Jersey, Newark, NJ 07102, USA
| | - Jigna Patel
- School of Health Professions, Department of Rehabilitation and Movement Sciences, Rutgers, The State University of New Jersey, Newark, NJ 07102, USA
| | | | - Alma Merians
- School of Health Professions, Department of Rehabilitation and Movement Sciences, Rutgers, The State University of New Jersey, Newark, NJ 07102, USA
| | - Sergei Adamovich
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07105, USA
- School of Health Professions, Department of Rehabilitation and Movement Sciences, Rutgers, The State University of New Jersey, Newark, NJ 07102, USA
| | - Gerard Fluet
- School of Health Professions, Department of Rehabilitation and Movement Sciences, Rutgers, The State University of New Jersey, Newark, NJ 07102, USA
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15
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Yen JM, Lim JH. A Clinical Perspective on Bespoke Sensing Mechanisms for Remote Monitoring and Rehabilitation of Neurological Diseases: Scoping Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:536. [PMID: 36617134 PMCID: PMC9823649 DOI: 10.3390/s23010536] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/17/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
Neurological diseases including stroke and neurodegenerative disorders cause a hefty burden on the healthcare system. Survivors experience significant impairment in mobility and daily activities, which requires extensive rehabilitative interventions to assist them to regain lost skills and restore independence. The advent of remote rehabilitation architecture and enabling technology mandates the elaboration of sensing mechanisms tailored to individual clinical needs. This study aims to review current trends in the application of sensing mechanisms in remote monitoring and rehabilitation in neurological diseases, and to provide clinical insights to develop bespoke sensing mechanisms. A systematic search was performed using the PubMED database to identify 16 papers published for the period between 2018 to 2022. Teleceptive sensors (56%) were utilized more often than wearable proximate sensors (50%). The most commonly used modality was infrared (38%) and acceleration force (38%), followed by RGB color, EMG, light and temperature, and radio signal. The strategy adopted to improve the sensing mechanism included a multimodal sensor, the application of multiple sensors, sensor fusion, and machine learning. Most of the stroke studies utilized biofeedback control systems (78%) while the majority of studies for neurodegenerative disorders used sensors for remote monitoring (57%). Functional assessment tools that the sensing mechanism may emulate to produce clinically valid information were proposed and factors affecting user adoption were described. Lastly, the limitations and directions for further development were discussed.
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Affiliation(s)
- Jia Min Yen
- Division of Rehabilitation Medicine, University Medicine Cluster, National University Hospital, Singapore 119074, Singapore
| | - Jeong Hoon Lim
- Division of Rehabilitation Medicine, University Medicine Cluster, National University Hospital, Singapore 119074, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
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16
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Stark AL, Krayter S, Dockweiler C. Competencies required by patients and health professionals regarding telerehabilitation: A scoping review. Digit Health 2023; 9:20552076231218841. [PMID: 38107985 PMCID: PMC10722929 DOI: 10.1177/20552076231218841] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 11/20/2023] [Indexed: 12/19/2023] Open
Abstract
Background Telerehabilitation offers patients alternative access to therapy and has become more prominent during the COVID-19 pandemic. Despite the increasing attractiveness of such programs, there are research gaps regarding the required competencies in the demand-oriented technology use in rehabilitative care. Objective The study aims at collecting evidence on competencies required by patients and health professionals for using telerehabilitation. We analyse tasks and requirements associated with telerehabilitation and derive and systematise relevant competencies. Methods We conducted a scoping review and analysed MEDLINE, Psyndex, EMBASE, Cochrane Library, and Web of Science for empirical studies and grey literature from 2017 to May 2022. Articles had to be in English/German and refer to medical rehabilitation accompanied by health professionals taking place in the patient's home. Results One hundred ten articles were included, covering video conferencing systems, applications with video, audio, or visual therapy content, or wearables. Depending on the program, tasks before, during, and after therapy sessions differ, as do whether these are performed by health professionals, patients, or the technology. Users need digital, health-related, social, personal, and health professionals also professional competencies. This comprises telerehabilitation, technical, health-related, and clinical knowledge, a range of physical, cognitive, social-interactive, technical, and clinical skills, a positive attitude towards telerehabilitation and experience. Whether sociodemographic factors promote successful use is unclear. Conclusions Telerehabilitation requires a variety of different competencies from patients and health professionals - going beyond the sphere of technical skills. This highlights the need for an evaluation of existing programs for promoting competencies in the use of telerehabilitation and refinement of the programs in line with demands.
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Affiliation(s)
- Anna Lea Stark
- Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany
| | - Stephan Krayter
- Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany
| | - Christoph Dockweiler
- Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany
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17
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Hu J, Zou J, Wan Y, Yao Q, Dong P, Li G, Wu X, Zhang L, Liang D, Zeng Q, Huang G. Rehabilitation of motor function after stroke: A bibliometric analysis of global research from 2004 to 2022. Front Aging Neurosci 2022; 14:1024163. [PMID: 36408095 PMCID: PMC9667945 DOI: 10.3389/fnagi.2022.1024163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 10/10/2022] [Indexed: 11/23/2022] Open
Abstract
Background and aims The mortality rate of stroke has been increasing worldwide. Poststroke somatic dysfunctions are common. Motor function rehabilitation of patients with such somatic dysfunctions enhances the quality of life and has long been the primary practice to achieve functional recovery. In this regard, we aimed to delineate the new trends and frontiers in stroke motor function rehabilitation literature published from 2004 to 2022 using a bibliometric software. Methods All documents related to stroke rehabilitation and published from 2004 to 2022 were retrieved from the Web of Science Core Collection. Publication output, research categories, countries/institutions, authors/cocited authors, journals/cocited journals, cocited references, and keywords were assessed using VOSviewer v.1.6.15.0 and CiteSpace version 5.8. The cocitation map was plotted according to the analysis results to intuitively observe the research hotspots. Results Overall, 3,302 articles were retrieved from 78 countries or regions and 564 institutions. Over time, the publication outputs increased annually. In terms of national contribution, the United States published the most papers, followed by China, Japan, South Korea, and Canada. Yeungnam University had the most articles among all institutions, followed by Emory University, Fudan University, and National Taiwan University. Jang Sung Ho and Wolf S.L. were the most productive (56 published articles) and influential (cited 1,121 times) authors, respectively. "Effect of constraint-induced movement therapy on upper extremity function 3-9 months after stroke: the Extremity Constraint Induced Therapy Evaluation randomized clinical trial" was the most frequently cited reference. Analysis of keywords showed that upper limbs, Fugl-Meyer assessment, electromyography, virtual reality, telerehabilitation, exoskeleton, and brain-computer interface were the research development trends and focus areas for this topic. Conclusion Publications regarding motor function rehabilitation following stroke are likely to continuously increase. Research on virtual reality, telemedicine, electroacupuncture, the brain-computer interface, and rehabilitation robots has attracted increasing attention, with these topics becoming the hotspots of present research and the trends of future research.
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Affiliation(s)
- Jinjing Hu
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Jihua Zou
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Yantong Wan
- College of Anesthesiology, Southern Medical University, Guangzhou, China
| | - Qiuru Yao
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Peng Dong
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Gege Li
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Xuan Wu
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Lijie Zhang
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Donghui Liang
- Department of Traditional Chinese Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Qing Zeng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Guozhi Huang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
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18
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Ahmadi Marzaleh M, Peyravi M, Azhdari N, Bahaadinbeigy K, Sharifian R, Samad‐Soltani T, Sarpourian F. Virtual reality applications for rehabilitation of COVID-19 patients: A systematic review. Health Sci Rep 2022; 5:e853. [PMID: 36210874 PMCID: PMC9528946 DOI: 10.1002/hsr2.853] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/16/2022] [Accepted: 09/08/2022] [Indexed: 11/28/2022] Open
Abstract
Background and Aims The COVID-19 pandemic has changed people's lifestyles as well as the way healthcare services are delivered. Undoubtedly, the difficulties associated with COVID-19 infection and rehabilitation and those associated with quarantine and viral preventive efforts may exacerbate the need for virtual reality to be used as a part of a complete rehabilitation strategy for these individuals. Thus, the present research aimed to evaluate the potential uses of virtual reality for the rehabilitation of individuals suffering from COVID-19. Methods From 2019 to March 1, 2022, a systematic search was conducted in PubMed, Cochran Library, Scopus, Science Direct, ProQuest, and Web of Science databases. The papers were selected based on search terms and those that discussed the use of virtual reality in the rehabilitation of COVID-19 patients were reviewed. Each step of the study was reviewed by two authors. Results A total of 699 papers were found during the first search. Three papers were chosen for further investigation after a thorough evaluation of the publications' titles, abstracts, and full texts. Cross-sectional studies, randomized controlled clinical trials, and case reports comprised 33%, 33%, and 33% of the publications, respectively. Based on the results, people suffering from COVID-19 were the focus of two papers (66%) that employed immersion virtual reality for cognitive rehabilitation, whereas one study (33%) used non-immersive virtual reality for physical rehabilitation. In two papers (66%), virtual reality was also offered to patients in the form of a game. Conclusion According to the results of the present research, virtual reality games may enhance functional and cognitive consequences, contentment levels among patients, and their ability to take charge of their own health care. In light of the obstacles faced by COVID-19 patients, alterations in the delivery of healthcare, and the significance of rehabilitation in this group during quarantine, new techniques have been considered for these patients to maintain treatment, return to regular life, and enhance their standard of life.
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Affiliation(s)
- Milad Ahmadi Marzaleh
- Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Management and Medical InformaticsShiraz University of Medical SciencesShirazIran
| | - Mahmoudreza Peyravi
- Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Management and Medical InformaticsShiraz University of Medical SciencesShirazIran
| | - Negar Azhdari
- School of Rehabilitation SciencesShiraz University of Medical SciencesShirazIran
| | - Kambiz Bahaadinbeigy
- School of Management and Medical InformaticsKerman University of Medical SciencesKermanIran
| | - Roxana Sharifian
- Department of Health Information Technology, School of Management and Medical InformaticsShiraz University of Medical SciencesShirazIran
| | - Taha Samad‐Soltani
- Department of Health Information Management, School of Management and Medical InformaticsTabriz University of Medical SciencesTabrizIran
| | - Fatemeh Sarpourian
- Department of Health Information Technology, School of Management and Medical InformaticsShiraz University of Medical SciencesShirazIran
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19
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Nikolaev VA, Safonicheva OG, Nikolaev AA. Telerehabilitation of Post-Stroke Patients with Motor Function Disorders: A Review. ADVANCES IN GERONTOLOGY 2022. [PMCID: PMC9464491 DOI: 10.1134/s2079057022030109] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Stroke is the main reason for disabilities of increasing geriatric population. It affects brain and motor function domains significantly reducing the life quality. Recent coronavirus pandemic raised a question on changing approaches to deliver post-stroke rehabilitation services to geriatric patients due to their high risk of serious illness. This paper presents an overview of current telerehabilitation approaches for motor function recovery and balance training of post-stroke patients. We used papers from peer-reviewed medical journals on stroke telerehabilitation. The review showed exergames, virtual reality (VR), web-platforms, and applications are extensively used in rehabilitation programs to gain clinical outcomes among geriatric stroke patients. Findings indicate telerehabilitation improves older patients’ functional ability via systematic training, positively affecting their life quality. The treatment therapy of older adults using telerehabilitation can be organized synchronously and asynchronously in home-based environment or in-clinic conditions. Telerehabilitation can be used as complementary therapy or as an alternative to conventional treatment. However, further research is required to test a variety of telerehabilitation systems using larger samples of post-stroke geriatric patients.
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Affiliation(s)
- V. A. Nikolaev
- Pirogov Russian National Research Medical University, 117997 Moscow, Russia
- Sechenov First Moscow State Medical University, 119991 Moscow, Russia
| | - O. G. Safonicheva
- Sechenov First Moscow State Medical University, 119991 Moscow, Russia
| | - A. A. Nikolaev
- National University of Science and Technology “MISiS”, 119049 Moscow, Russia
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20
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Moulaei K, Sheikhtaheri A, Nezhad MS, Haghdoost A, Gheysari M, Bahaadinbeigy K. Telerehabilitation for upper limb disabilities: a scoping review on functions, outcomes, and evaluation methods. Arch Public Health 2022; 80:196. [PMID: 35999548 PMCID: PMC9400266 DOI: 10.1186/s13690-022-00952-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 08/10/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Upper limb (UL) disabilities have attracted worldwide attention due to the high economic costs of health care and the negative effects on the quality of life of patients with these disabilities. Telerehabilitation technologies are one of the most important ways to reduce rehabilitation costs and increase the quality of life of patients. Therefore, the aim of this study was to investigate the role of telerehabilitation in improving the health status of patients with upper limb disabilities.
Methods
This scoping review was conducted by searching the Web of Science, PubMed, and Scopus until July 30, 2021. We used a data extraction form with 18 fields to extract data from primary studies. The selection of articles and data extraction was made by four researchers using a data collection form based on inclusion and exclusion criteria. Disagreements were resolved through consultation with the fifth and sixth researchers.Inclusion criteria were studies published in English, studies on upper limb disability, and telerehabilitation based on any technology (synchronous telerehabilitation, asynchronous, or both). Exclusion criteria were articles that did not focus on telerehabilitation and upper limb disabilities. Also, books, book chapters, letters to the editor, and conference abstracts were also removed.
Results
A total of 458 articles were retrieved, and after removing irrelevant and duplicate articles, 29 articles were finally included in this review. Most telerehabilitation was performed for patients with stroke (65%). Among the 15 different services provided with telerehabilitation technologies, "Evaluation of exercises and also a musculoskeletal function of patients by the therapist","Recording of patients' rehabilitation exercises and sending them to the therapist” and "Prescribing new rehabilitation exercises by the therapist" were the most widely used services, respectively. Virtual reality technologies, smart wearables, and robots were used to provide telerehabilitation services. Among the 13 types of evaluation used for telerehabilitation systems, “Evaluation and measurement of upper limb function” was the most used evaluation in the studies. "Improvement in musculoskeletal functions”, "Increasing patients' interest and motivation to perform rehabilitation exercises", and "Increasing adherence to rehabilitation exercises and greater participation in treatment processes" were the most important outcomes, respectively.
Conclusion
Our findings indicate that telerehabilitation provides individuals with equitable access to rehabilitation services, improves musculoskeletal function, and empowers individuals by providing a variety of rehabilitation capabilities.
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21
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Nikolaev VA, Nikolaev AA. Recent trends in telerehabilitation of stroke patients: A narrative review. NeuroRehabilitation 2022; 51:1-22. [DOI: 10.3233/nre-210330] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND: Stroke is the main reason for disabilities worldwide leading to motor dysfunction, spatial neglect and cognitive problems, aphasia, and other speech-language pathologies, reducing the life quality. To overcome disabilities, telerehabilitation (TR) has been recently introduced. OBJECTIVE: The aim of this review was to analyze current TR approaches for stroke patients’ recovery. METHODS: We searched 6 online databases from January 2018 to October 2021, and included 70 research and review papers in the review. We analyzed TR of 995 individuals, which was delivered synchronously and asynchronously. RESULTS: Findings show TR is feasible improving motor function, cognition, speech, and language communication among stroke patients. However, the dose of TR sessions varied significantly. We identified the following limitations: lack of equipment, software, and space for home-based exercises, insufficient internet capacity and speed, unavailability to provide hands on guidance, low digital proficiency and education, high cognitive demand, small samples, data heterogeneity, and no economic evaluation. CONCLUSIONS: The review shows TR is superior or similar to conventional rehabilitation in clinical outcomes and is used as complementary therapy or as alternative treatments. More importantly, TR provides access to rehabilitation services of a large number of patients with immobility, living in remote areas, and during COVID-19 pandemic or similar events.
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Affiliation(s)
- Vitaly A. Nikolaev
- Pirogov Russian National Research Medical University (Pirogov Medical University), Moscow, Russia
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
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22
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Sensing System for Plegic or Paretic Hands Self-Training Motivation. SENSORS 2022; 22:s22062414. [PMID: 35336583 PMCID: PMC8955878 DOI: 10.3390/s22062414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/06/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022]
Abstract
Patients after stroke with paretic or plegic hands require frequent exercises to promote neuroplasticity and to improve hand joint mobilization. Available devices for hand exercising are intended for persons with some level of hand control or provide continuous passive motion with limited patient involvement. Patients can benefit from self-exercising where they use the other hand to exercise the plegic or paretic one. However, post-stroke neuropsychological complications, apathy, and cognitive impairments such as forgetfulness make regular self-exercising difficult. This paper describes Przypominajka v2-a system intended to support self-exercising, remind about it, and motivate patients. We propose a glove-based device with an on-device machine-learning-based exercise scoring, a tablet-based interface, and a web-based application for therapists. The feasibility of on-device inference and the accuracy of correct exercise classification was evaluated on four healthy participants. Whole system use was described in a case study with a patient with a paretic hand. The anomaly classification has an accuracy of 91.3% and f1 value of 91.6% but achieves poorer results for new users (78% and 81%). The case study showed that patients had a positive reaction to exercising with Przypominajka, but there were issues relating to sensor glove: ease of putting on and clarity of instructions. The paper presents a new way in which sensor systems can support the rehabilitation of after-stroke patients with an on-device machine-learning-based classification that can accurately score and contribute to patient motivation.
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23
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Zhou H, Yu T. Effect of Comprehensive Rehabilitation Training Program in Orthopedic Nursing of Patients with Residual Limb Injury Caused by Crush. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:6769572. [PMID: 35126938 PMCID: PMC8808221 DOI: 10.1155/2022/6769572] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/14/2021] [Accepted: 10/23/2021] [Indexed: 11/24/2022]
Abstract
This study was developed to explore the role and application value of a comprehensive rehabilitation training (CRT) program based on the remote monitoring system of limb rehabilitation training (LRT-RM system) in the rehabilitation nursing of patients with residual limb injuries caused by crush. The LRT-RM system was constructed based on the characteristics of limb movement and using the time-domain analysis method and support vector machine (SVM). The 84 crush injury patients were selected as the research objects and divided into a control group (Con group, received conventional rehabilitation therapy) and a CRT group (received conventional rehabilitation therapy + functional training) according to different therapies, with 42 people in each group. The incidence of compound injuries and the incidence of residual limb injuries were counted and compared for patients in two groups. The differences in renal function, blood electrolytes, and biochemical indicators before and after treatment were analyzed. The MOS 36-item short-form health survey (SF-36) scale was selected to evaluate the improvement of physical and mental health of the patients before treatment and 1 month (time point (TP1)), 3 months (TP2), 6 months (TP3), and 12 months (TP4) after the treatment. It was found that, after the intervention, the values of serum creatinine (Scr), blood urea nitrogen (BUN), uric acid (UA), K+, P3+, and white blood cells (WBC) of patients in CRT group were obviously lower than those of Con group (P < 0.05), and the values of carbon dioxide combining power (CO2CP), Ca2+, hemoglobin (Hb), red blood cell (RBC), total protein (TP), and albumin (ALB) were obviously higher than the values in Con group (P < 0.05). In the CRT group, the residual limb injury rate was lower in elbow, wrist, shoulder joint, ankle joint, and toe (P < 0.05) and extremely lower in knee joint in contrast to that in the Con group (P < 0.001). The score of SF-36 was dramatically higher than that in the Con group (P < 0.05). It suggested that the CRT program based on the LRT-RM system was helpful for the rehabilitation of patients with crush injuries, and it can reduce the incidence of residual limb injuries in patients. Results of this study could provide a reference basis for the treatment of residual limb injuries caused by crush.
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Affiliation(s)
- Haihong Zhou
- Department of Hand and Foot Surgery, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, China
| | - Tongyao Yu
- Department of Orthopedic Trauma, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, China
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24
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Fluet G, Qiu Q, Patel J, Mont A, Cronce A, Yarossi M, Merians A, Adamovich S. Virtual Rehabilitation of the Paretic Hand and Arm in Persons With Stroke: Translation From Laboratory to Rehabilitation Centers and the Patient's Home. Front Neurol 2021; 12:623261. [PMID: 33584529 PMCID: PMC7876436 DOI: 10.3389/fneur.2021.623261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 01/04/2021] [Indexed: 12/18/2022] Open
Abstract
The anatomical and physiological heterogeneity of strokes and persons with stroke, along with the complexity of normal upper extremity movement make the possibility that any single treatment approach will become the definitive solution for all persons with upper extremity hemiparesis due to stroke unlikely. This situation and the non-inferiority level outcomes identified by many studies of virtual rehabilitation are considered by some to indicate that it is time to consider other treatment modalities. Our group, among others, has endeavored to build on the initial positive outcomes in studies of virtual rehabilitation by identifying patient populations, treatment settings and training schedules that will best leverage virtual rehabilitation's strengths. We feel that data generated by our lab and others suggest that (1) persons with stroke may adapt to virtual rehabilitation of hand function differently based on their level of impairment and stage of recovery and (2) that less expensive, more accessible home based equipment seems to be an effective alternative to clinic based treatment that justifies continued optimism and study.
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Affiliation(s)
- Gerard Fluet
- Rutgers Biomedical and Health Sciences, Newark, NJ, United States
| | - Qinyin Qiu
- Rutgers Biomedical and Health Sciences, Newark, NJ, United States
| | - Jigna Patel
- Rutgers Biomedical and Health Sciences, Newark, NJ, United States
- New Jersey Institute of Technology, Newark, NJ, United States
| | - Ashley Mont
- New Jersey Institute of Technology, Newark, NJ, United States
| | - Amanda Cronce
- New Jersey Institute of Technology, Newark, NJ, United States
| | - Mathew Yarossi
- Department of Physical Therapy, Movement and Rehabilitation Science, Northeastern University, Boston, MA, United States
| | - Alma Merians
- Rutgers Biomedical and Health Sciences, Newark, NJ, United States
| | - Sergei Adamovich
- Rutgers Biomedical and Health Sciences, Newark, NJ, United States
- New Jersey Institute of Technology, Newark, NJ, United States
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