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Kern M, Velasquez-Ignacio C, Afzal T, Tseng SC, Francisco GE, Chang SH. Priming with transcutaneous spinal direct current stimulation followed by robotic exoskeleton gait training in individuals with spinal cord injury: A case series. J Spinal Cord Med 2025:1-8. [PMID: 40163080 DOI: 10.1080/10790268.2025.2479955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/02/2025] Open
Abstract
OBJECTIVES To investigate the safety and feasibility of repeated transcutaneous spinal direct current stimulation (tsDCS) as priming strategy during exoskeleton-assisted locomotor training in individuals with SCI and evaluate potential neurophysiologic and functional gait changes. STUDY DESIGN Case series experimental design. SETTING Research laboratory at a post-acute rehabilitation hospital. PARTICIPANTS Four participants with chronic incomplete SCI. INTERVENTIONS Four participants with chronic incomplete SCI received three weeks of training consisting of two types of interventions after baseline (A): 20-minute tsDCS (anode or cathode) applied over the spinous processes of T10 followed by 20-minute exoskeleton-assisted locomotor training (B, B1, B2) and 20-minute exoskeleton-assisted locomotor training (C, C1, C2). Each phase consisted of five consecutive intervention sessions. Two participants underwent sequence A-B1-C-B2 and two sequence A-C1-B-C2. Soleus Hoffmann Reflex (H-reflex) and gait speed (10-m walk test) were assessed on the first and fifth days of training for each training type. OUTCOME MEASURES Adverse skin reactions or other events, H-reflex (Hmax/Mmax ratio), and gait speed (10-m walk test). RESULTS No adverse events occurred. All participants tolerated tsDCS with no negative effects on their skin. Participants demonstrated varied responses in their H/M ratios after tsDCS followed by exoskeleton-assisted locomotor training as well as after exoskeleton-assisted locomotor training. No consistent pattern can be identified in this case series. Three participants showed an increase in gait speed after tsDCS combined with exoskeleton-assisted locomotor training. CONCLUSIONS Noninvasive repeated spinal stimulation can safely be used in individuals with incomplete SCI. Further large-scale research is necessary to determine the efficacy of tsDCS for priming the spinal cord in facilitating recovery of gait in individuals with SCI.
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Affiliation(s)
- Marcie Kern
- Center for Wearable Exoskeletons, Neurorecovery Research Center at TIRR Memorial Hermann, Houston, Texas, USA
- Department of Physical Medicine and Rehabilitation, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | | | - Taimoor Afzal
- Center for Wearable Exoskeletons, Neurorecovery Research Center at TIRR Memorial Hermann, Houston, Texas, USA
- Department of biomedical engineering, Worcester Polytechnic Institute, Worcester, Massachusetts, USA
| | - Shih-Chiao Tseng
- Department of Physical Therapy, University of Texas Medical Branch, Galveston, Texas, USA
| | - Gerard E Francisco
- Center for Wearable Exoskeletons, Neurorecovery Research Center at TIRR Memorial Hermann, Houston, Texas, USA
- Department of Physical Medicine and Rehabilitation, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Shuo-Hsiu Chang
- Center for Wearable Exoskeletons, Neurorecovery Research Center at TIRR Memorial Hermann, Houston, Texas, USA
- Department of Physical Medicine and Rehabilitation, The University of Texas Health Science Center at Houston, Houston, Texas, USA
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Hankov N, Caban M, Demesmaeker R, Roulet M, Komi S, Xiloyannis M, Gehrig A, Varescon C, Spiess MR, Maggioni S, Basla C, Koginov G, Haufe F, D'Ercole M, Harte C, Hernandez-Charpak SD, Paley A, Tschopp M, Herrmann N, Intering N, Baaklini E, Acquati F, Jacquet C, Watrin A, Ravier J, Merlos F, Eberlé G, Van den Keybus K, Lambert H, Lorach H, Buschman R, Buse N, Denison T, De Bon D, Duarte JE, Riener R, Ijspeert A, Wagner F, Tobler S, Asboth L, von Zitzewitz J, Bloch J, Courtine G. Augmenting rehabilitation robotics with spinal cord neuromodulation: A proof of concept. Sci Robot 2025; 10:eadn5564. [PMID: 40073082 DOI: 10.1126/scirobotics.adn5564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/11/2025] [Indexed: 03/14/2025]
Abstract
Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate sufficient activity during robot-assisted rehabilitation and, consequently, do not benefit from these therapies. Here, we developed an implantable spinal cord neuroprosthesis operating in a closed loop to promote robust activity during walking and cycling assisted by robotic devices. This neuroprosthesis is device agnostic and designed for seamless implementation by nonexpert users. Preliminary evaluations in participants with paralysis showed that the neuroprosthesis enabled well-organized patterns of muscle activity during robot-assisted walking and cycling. A proof-of-concept study suggested that robot-assisted rehabilitation augmented by the neuroprosthesis promoted sustained neurological improvements. Moreover, the neuroprosthesis augmented recreational walking and cycling activities outdoors. Future clinical trials will have to confirm these findings in a broader population.
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Affiliation(s)
- Nicolas Hankov
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Miroslav Caban
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Biorobotics Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- ONWARD Medical, Lausanne, Switzerland
| | - Robin Demesmaeker
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Margaux Roulet
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Salif Komi
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Michele Xiloyannis
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
- Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Anne Gehrig
- VAMED Management and Service Switzerland AG, Zurich, Switzerland
| | - Camille Varescon
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Martina Rebeka Spiess
- Hocoma AG, Volketswil, Switzerland
- ZHAW, Zurich University of Applied Sciences, School of Health Sciences, Institute of Occupational Therapy, Zurich, Switzerland
| | - Serena Maggioni
- Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
- Hocoma AG, Volketswil, Switzerland
| | - Chiara Basla
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
- Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Gleb Koginov
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
- Myoswiss AG, Zurich, Switzerland
| | - Florian Haufe
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
- Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | | | - Cathal Harte
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Sergio D Hernandez-Charpak
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Aurelie Paley
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Manon Tschopp
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Natacha Herrmann
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Nadine Intering
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Edeny Baaklini
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Francesco Acquati
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- ONWARD Medical, Lausanne, Switzerland
| | | | | | - Jimmy Ravier
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Frédéric Merlos
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | - Grégoire Eberlé
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Katrien Van den Keybus
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | | | - Henri Lorach
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | | | | | | | - Dino De Bon
- VAMED Management and Service Switzerland AG, Zurich, Switzerland
| | | | - Robert Riener
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
- Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Auke Ijspeert
- Biorobotics Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Fabien Wagner
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
- Institut des Maladies Neurodégénératives (CNRS UMR 5293), Université de Bordeaux, Bordeaux, France
| | - Sebastian Tobler
- Bern University of Applied Science, SCI Mobility Lab, University of Bern, Bienne, Switzerland
- GBY (Go-by-Yourself) SA, Vuisternens-en-Ogoz, Switzerland
| | - Léonie Asboth
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
| | | | - Jocelyne Bloch
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Grégoire Courtine
- NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
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3
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Sanna N, Nossa R, Biffi E, Guanziroli E, Diella E, Ferrante S, Molteni F, Peruzzo D, Casali N, Mastropietro A, Rizzo G, Tarabini M, Pedrocchi A, Ambrosini E. Evaluating the health and fitness benefits of a 6-month FES-cycling program on a recumbent trike for individuals with motor complete SCI: a pilot study. J Neuroeng Rehabil 2025; 22:55. [PMID: 40065341 PMCID: PMC11892226 DOI: 10.1186/s12984-025-01585-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Accepted: 02/20/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Spinal cord injury (SCI) severely affects physical function, leading to muscle atrophy and reduced bone density. Sport-therapy, incorporating recreational and competitive activities, has shown promise in enhancing recovery for individuals with SCI. Functional Electrical Stimulation (FES)-cycling combines exercise benefits with stimulation advantages, and recent integration with mobile recumbent trikes adds further potential. This study aimed to evaluate the effects of a 6-month FES-cycling sport therapy using a recumbent trike on individuals with motor complete SCI. METHODS Five participants engaged in bi-weekly FES-cycling sessions using an instrumented recumbent trike. A comprehensive assessment was conducted before training, at 3 and 6 months of training, and at 1-month follow-up. Outcome measures included maximal muscle Cross-Sectional Area (maxCSA) from Magnetic Resonance Images, bone mineral density, clinical scales, and questionnaires on spasticity, pain, bowel dysfunction, psychological well-being, and sport motivation. Additionally, maximal power output and cycling endurance were assessed. RESULTS The FES-cycling program led to a significant increase in muscle mass of 34% after 6 months of training, correlated to an improved cycling performance (maxCSA versus peak power). A slight decrease of muscle mass was observed as expected at follow-up. Participants reported high well-being and strong motivation throughout the training program. Bone health, spasticity, bowel dysfunction, and pain levels did not significantly change overall. CONCLUSIONS FES-cycling on a recumbent trike shows potential as a therapeutic and recreational activity for individuals with SCI. It significantly improved muscle mass and physical performance while positively impacting psychological well-being and motivation. Further research with larger cohorts is necessary to confirm these benefits and optimize protocols, establishing FES-cycling as a valuable sport-therapy model for SCI. TRIAL REGISTRATION The study protocol was retrospectively registered on clinicaltrials.gov (NCT06321172).
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Affiliation(s)
- N Sanna
- Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
- We-Cobot Laboratory, Polo Territoriale di Lecco, Politecnico di Milano, Milan, LC, Italy
| | - R Nossa
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, LC, Italy
| | - E Biffi
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, LC, Italy
| | - E Guanziroli
- Valduce Hospital, Villa Beretta Rehabilitation Center, Costa Masnaga, LC, Italy
| | - E Diella
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, LC, Italy
| | - S Ferrante
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - F Molteni
- Valduce Hospital, Villa Beretta Rehabilitation Center, Costa Masnaga, LC, Italy
| | - D Peruzzo
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, LC, Italy
| | - N Casali
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
- Institute of Intelligent Industrial Technologie and Systems for Advanced Manufacturing, Consiglio Nazionale delle Ricerche, Milan, Italy
| | - A Mastropietro
- Institute of Intelligent Industrial Technologie and Systems for Advanced Manufacturing, Consiglio Nazionale delle Ricerche, Milan, Italy
| | - G Rizzo
- Institute of Intelligent Industrial Technologie and Systems for Advanced Manufacturing, Consiglio Nazionale delle Ricerche, Milan, Italy
| | - M Tarabini
- Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
- We-Cobot Laboratory, Polo Territoriale di Lecco, Politecnico di Milano, Milan, LC, Italy
| | - A Pedrocchi
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
- We-Cobot Laboratory, Polo Territoriale di Lecco, Politecnico di Milano, Milan, LC, Italy
| | - E Ambrosini
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
- We-Cobot Laboratory, Polo Territoriale di Lecco, Politecnico di Milano, Milan, LC, Italy.
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4
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Lee H, Cho S, Kim D, Lee T, Kim HS. Bioelectric medicine: unveiling the therapeutic potential of micro-current stimulation. Biomed Eng Lett 2024; 14:367-392. [PMID: 38645592 PMCID: PMC11026362 DOI: 10.1007/s13534-024-00366-3] [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: 12/31/2023] [Revised: 02/16/2024] [Accepted: 02/18/2024] [Indexed: 04/23/2024] Open
Abstract
Bioelectric medicine (BEM) refers to the use of electrical signals to modulate the electrical activity of cells and tissues in the body for therapeutic purposes. In this review, we particularly focused on the microcurrent stimulation (MCS), because, this can take place at the cellular level with sub-sensory application unlike other stimuli. These extremely low-level currents mimic the body's natural electrical activity and are believed to promote various physiological processes. To date, MCS has limited use in the field of BEM with applications in several therapeutic purposes. However, recent studies provide hopeful signs that MCS is more scalable and widely applicable than what has been used so far. Therefore, this review delves into the landscape of MCS, shedding light on the multifaceted applications and untapped potential of MCS in the realm of healthcare. Particularly, we summarized the hierarchical mediation from cell to whole body responses by MCS including its physiological applications. Our final objective of this review is to contribute to the growing body of literature that unveils the captivating potential of BEM, with MCS poised at the intersection of technological innovation and the intricacies of the human body.
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Affiliation(s)
- Hana Lee
- Department of Biomedical Engineering, Yonsei University, Seoul, Gangwon 26493 South Korea
| | - Seungkwan Cho
- Gfyhealth Inc., Seongnam, Gyeonggi 13488 South Korea
| | - Doyong Kim
- Department of Biomedical Engineering, Yonsei University, Seoul, Gangwon 26493 South Korea
| | - Taehyun Lee
- Gfyhealth Inc., Seongnam, Gyeonggi 13488 South Korea
| | - Han Sung Kim
- Department of Biomedical Engineering, Yonsei University, Seoul, Gangwon 26493 South Korea
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5
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Wannawas N, Faisal AA. Towards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning. IEEE Int Conf Rehabil Robot 2023; 2023:1-6. [PMID: 37941238 DOI: 10.1109/icorr58425.2023.10304767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
Functional electrical stimulation (FES) has been increasingly integrated with other rehabilitation devices, including rehabilitation robots. FES cycling is one of the common FES applications in rehabilitation, which is performed by stimulating leg muscles in a certain pattern. The appropriate pattern varies across individuals and requires manual tuning which can be time-consuming and challenging for the individual user. Here, we present an AI-based method for finding the patterns, which requires no extra hardware or sensors. Our method starts with finding model-based patterns using reinforcement learning (RL) and customised cycling models. Next, our method fine-tunes the pattern using real cycling data and offline RL. We test our method both in simulation and experimentally on a stationary tricycle. Our method can robustly deliver model-based patterns for different cycling configurations. In the experimental evaluation, the model-based pattern can induce higher cycling speed than an EMG-based pattern. And by using just 100 seconds of cycling data, our method can deliver a fine-tuned pattern with better cycling performance. Beyond FES cycling, this work is a case study, displaying the feasibility and potential of human-in-the-loop AI in real-world rehabilitation.
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Massey S, Vanhoestenberghe A, Duffell L. Neurophysiological and clinical outcome measures of the impact of electrical stimulation on spasticity in spinal cord injury: Systematic review and meta-analysis. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:1058663. [PMID: 36589715 PMCID: PMC9801305 DOI: 10.3389/fresc.2022.1058663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/01/2022] [Indexed: 12/23/2022]
Abstract
This systematic review and meta-analysis aims to determine whether non-invasive electrical stimulation (ES) is effective at reducing spasticity in people living with spinal cord injury (SCI). PubMed, Web of Science, Scopus and Cochrane Central Register of Controlled Trials databases were searched in April 2022. Primary outcome measures were the Ashworth scale (AS), Modified Ashworth scale (MAS), Pendulum test and the Penn spasm frequency scale (PSFS). Secondary outcomes were the Hoffman (H)- reflex, motor-evoked potentials (MEPs) and posterior-root reflexes (PRRs). A random-effects model, using two correlation coefficients, ( C o r r = 0.1 , C o r r = 0.2 ) determined the difference between baseline and post-intervention measures for RCTs. A quantitative synthesis amalgamated data from studies with no control group (non-RCTs). Twenty-nine studies were included: five in the meta-analysis and 17 in the amalgamation of non-RCT studies. Twenty studies measured MAS or AS scores, 14 used the Pendulum test and one used the PSFS. Four measured the H-reflex and no studies used MEPs or PRRs. Types of ES used were: transcutaneous electrical nerve stimulation (TENS), transcutaneous spinal cord stimulation (TSCS), functional electrical stimulation (FES) cycling and FES gait. Meta-analyses of 3 studies using the MAS and 2 using the Pendulum test were carried out. For MAS scores, non-invasive ES was effective at reducing spasticity compared to a control group (p = 0.01, C o r r = 0.1 ; p = 0.002, C o r r = 0.2 ). For Pendulum test outcomes, there was no statistically significant difference between intervention and control groups. Quantitative synthesis of non-RCT studies revealed that 22 of the 29 studies reported improvement in at least one measure of spasticity following non-invasive ES, 13 of which were statistically significant (p < 0.05). Activation of the muscle was not necessary to reduce spasticity. Non-invasive ES can reduce spasticity in people with SCI, according to MAS scores, for both RCT and non-RCT studies, and Pendulum test values in non-RCT studies. This review could not correlate between clinical and neurophysiological outcomes; we recommend the additional use of neurophysiological outcomes for future studies. The use of TSCS and TENS, which did not induce a muscle contraction, indicate that activation of afferent fibres is at least required for non-invasive ES to reduce spasticity.
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Affiliation(s)
- Sarah Massey
- Aspire Centre for Rehabilitation Engineering and Assistive Technologies, Division of Surgery and Interventional Sciences, University College London, London, United Kingdom
- Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom
| | - Anne Vanhoestenberghe
- Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Lynsey Duffell
- Aspire Centre for Rehabilitation Engineering and Assistive Technologies, Division of Surgery and Interventional Sciences, University College London, London, United Kingdom
- Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom
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7
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Fang CY, Lien ASY, Tsai JL, Yang HC, Chan HL, Chen RS, Chang YJ. The Effect and Dose-Response of Functional Electrical Stimulation Cycling Training on Spasticity in Individuals With Spinal Cord Injury: A Systematic Review With Meta-Analysis. Front Physiol 2021; 12:756200. [PMID: 34867459 PMCID: PMC8640241 DOI: 10.3389/fphys.2021.756200] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/21/2021] [Indexed: 01/10/2023] Open
Abstract
Background: To investigate the effect and dose-response of functional electrical stimulation cycling (FES-cycling) training on spasticity in the individuals with spinal cord injury (SCI). Method: Five electronic databases [PubMed, Scopus, Medline (Proquest), Embase, and Cochrane Central Register of Controlled Trials (CENTRAL)] were searched before September 2021. The human trials and studies of English language were only included. Two authors independently reviewed and extracted the searched studies. The primary outcome measure was spasticity assessed by Modified Ashworth Scale or Ashworth Scale for lower limbs. The secondary outcome measures were walking abilities, such as 6 Min Walk Test (6MWT), Timed Up and Go (TUG), and lower limbs muscle strength (LEMS). A subgroup analysis was performed to investigate the efficacious threshold number of training sessions. A meta-regression analysis was used to examine the linear relationship between the training sessions and the effect on spasticity. Results: A total of 764 studies were identified. After screening, 12 selected studies were used for the qualitative synthesis, in which eight of them were quantitatively analyzed. Eight studies included ninety-nine subjects in total with SCI (male: female = 83:16). The time since injury was from less than 4 weeks to 17 years. The age ranged from 20 to 67 years. American Spinal Injury Association (ASIA) impairment level of the number of participants was 59 for ASIA A, 11 for ASIA B, 18 for ASIA C, and 11 for ASIA D. There were 43 subjects with tetraplegia and 56 subjects with paraplegia. Spasticity decreased significantly (95% CI = - 1.538 to - 0.182, p = 0.013) in favor of FES-cycling training. The walking ability and LEMS also improved significantly in favor of FES-cycling training. The subgroup analysis showed that spasticity decreased significantly only in more than 20 training sessions (95% CI = - 1.749 to - 0.149, p = 0.020). The meta-regression analysis showed training sessions and spasticity were not significantly associated (coefficient = - 0.0025, SE = 0.0129, p = 0.849, R 2 analog = 0.37). Conclusion: Functional electrical stimulation-cycling training can improve spasticity, walking ability, and the strength of the lower limbs in the individuals with SCI. The number of training sessions is not linearly related to the decrease of spasticity. Twenty sessions of FES-cycling training are required to obtain the efficacy to decrease spasticity.
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Affiliation(s)
- Chia-Ying Fang
- School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Angela Shin-Yu Lien
- School of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.,Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Jia-Ling Tsai
- School of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsiao-Chu Yang
- School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsiao-Lung Chan
- Department of Electrical Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan.,Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Rou-Shayn Chen
- Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Department of Neurology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.,School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ya-Ju Chang
- School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.,Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
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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: 61] [Impact Index Per Article: 15.3] [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.
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van der Scheer JW, Goosey-Tolfrey VL, Valentino SE, Davis GM, Ho CH. Functional electrical stimulation cycling exercise after spinal cord injury: a systematic review of health and fitness-related outcomes. J Neuroeng Rehabil 2021; 18:99. [PMID: 34118958 PMCID: PMC8196442 DOI: 10.1186/s12984-021-00882-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 05/19/2021] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES The objective of this review was to summarize and appraise evidence on functional electrical stimulation (FES) cycling exercise after spinal cord injury (SCI), in order to inform the development of evidence-based clinical practice guidelines. METHODS PubMed, the Cochrane Central Register of Controlled Trials, EMBASE, SPORTDiscus, and CINAHL were searched up to April 2021 to identify FES cycling exercise intervention studies including adults with SCI. In order to capture the widest array of evidence available, any outcome measure employed in such studies was considered eligible. Two independent reviewers conducted study eligibility screening, data extraction, and quality appraisal using Cochranes' Risk of Bias or Downs and Black tools. Each study was designated as a Level 1, 2, 3 or 4 study, dependent on study design and quality appraisal scores. The certainty of the evidence for each outcome was assessed using GRADE ratings ('High', 'Moderate', 'Low', or 'Very low'). RESULTS Ninety-two studies met the eligibility criteria, comprising 999 adults with SCI representing all age, sex, time since injury, lesion level and lesion completeness strata. For muscle health (e.g., muscle mass, fiber type composition), significant improvements were found in 3 out of 4 Level 1-2 studies, and 27 out of 32 Level 3-4 studies (GRADE rating: 'High'). Although lacking Level 1-2 studies, significant improvements were also found in nearly all of 35 Level 3-4 studies on power output and aerobic fitness (e.g., peak power and oxygen uptake during an FES cycling test) (GRADE ratings: 'Low'). CONCLUSION Current evidence indicates that FES cycling exercise improves lower-body muscle health of adults with SCI, and may increase power output and aerobic fitness. The evidence summarized and appraised in this review can inform the development of the first international, evidence-based clinical practice guidelines for the use of FES cycling exercise in clinical and community settings of adults with SCI. Registration review protocol: CRD42018108940 (PROSPERO).
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Affiliation(s)
- Jan W van der Scheer
- Peter Harrison Centre for Disability Sport, School for Sport, Exercise and Health Sciences, Loughborough University, Epinal Way, Loughborough, LE11 3TU, UK
- The Healthcare Improvement Studies (THIS) Institute, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Clifford Allbutt Building, Cambridge, CB2 OAH, UK
| | - Victoria L Goosey-Tolfrey
- Peter Harrison Centre for Disability Sport, School for Sport, Exercise and Health Sciences, Loughborough University, Epinal Way, Loughborough, LE11 3TU, UK
| | - Sydney E Valentino
- Department of Kinesiology, McMaster University, Room IWC EG115, 1280 Main St. W., Hamilton, ON, L8S 4K1, Canada
| | - Glen M Davis
- Discipline of Exercise and Sport Sciences, Faculty of Medicine and Health, Sydney School of Health Sciences, University of Sydney, Sydney, NSW, 2006, Australia
| | - Chester H Ho
- Division of Physical Medicine & Rehabilitation, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
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Effects of Robot-Assisted Gait Training in Individuals with Spinal Cord Injury: A Meta-analysis. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2102785. [PMID: 32280681 PMCID: PMC7115057 DOI: 10.1155/2020/2102785] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 02/21/2020] [Indexed: 12/20/2022]
Abstract
Background To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain in people with spinal cord injury (SCI). Material and methods. Four electronic databases (PubMed, Scopus, Medline, and Cochrane Central Register of Controlled Trials) were searched for studies published up to November 2019. Only human trials and of English language were included. The searched studies were reviewed and extracted independently by two authors. Randomized controlled trials (RCTs) and non-RCTs were pooled separately for analyses. Primary outcome measures included spasticity assessed by Ashworth scale (AS) or modified Ashworth scale (MAS) and pain assessed by VAS. Secondary outcome measures included lower extremity motor score (LEMS) and walking ability (i.e., 6-minute walk test, 10-meter walk test). Results A total of 225 studies were identified. Eighteen studies (7 RCTs and 11 non-RCTs) including 301 subjects met inclusion criteria. The outcome measure of spasticity significantly improved in favor of RAGT group in non-RCTs (AS: 95%CI = −0.202 to -0.068, p ≤ 0.001; MAS: 95%CI = −2.886 to -1.412, p ≤ 0.001). The results on pain did not show significant change after RAGT in either RCTs or non-RCTs. LEMS and walking ability significantly increased in favor of RAGT. Conclusions RAGT can improve spasticity and walking ability in people with SCI. The probable reason for no significant change in pain after RAGT is floor effect. RAGT is beneficial for normalizing muscle tone and for improving lower extremity function in people with SCI without causing extra pain.
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Goergen R, Valdiero AC, Rasia LA, Oberdorfer M, de Souza JP, Goncalves RS. Development of a Pneumatic Exoskeleton Robot for Lower Limb Rehabilitation. IEEE Int Conf Rehabil Robot 2019; 2019:187-192. [PMID: 31374628 DOI: 10.1109/icorr.2019.8779522] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Nowadays, many people suffer from physical disabilities caused by illness or accidents. The problems in the lower limb are one of the main that interrupt the activities of daily life of these people. To assist them in the activities of daily living, many support devices for upper and lower limb movement have been developed. In this paper is proposed a new simple and low-cost pneumatic robotic mechanism for lower limb rehabilitation. We employ a pneumatic actuator so that it is possible to obtain safety for the operation and the control of the force by the appropriate regulation of the pressures in the pneumatic cylinder chambers of the robot for rehabilitation. This work deals with the development of the robot for rehabilitation from a methodology of integration of mathematical modeling with the phases of the design process. It is concluded that the results obtained are a modular design that can be improved for multiple degrees of freedom and adapted also for rehabilitation of upper limbs.
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Vova JA, Eggebrecht EM. Utilizing Functional Electrical Stimulation and Exoskeletons in Pediatrics: a Closer Look at Their Roles in Gait and Functional Changes in Cerebral Palsy. CURRENT PHYSICAL MEDICINE AND REHABILITATION REPORTS 2019. [DOI: 10.1007/s40141-019-00215-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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