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Article

Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study

1
Program of Kinesiology, Department of Health Sciences, Université du Québec à Chicoutimi (UQAC), Saguenay, QC G7H 2B1, Canada
2
Laboratoire de Recherche Biomécanique & Neurophysiologique en Réadaptation Neuro-Musculo-Squelettique—Lab BioNR, Université du Québec à Chicoutimi (UQAC), Saguenay, QC G7H 2B1, Canada
3
Program of Kinesiology, Department of Health Sciences, Université du Québec à Rimouski (UQAR), Rimouski, QC G5L 3A1, Canada
4
Physical Medicine and Rehabilitation Department, University Hospital of Saint-Etienne, 42100 Saint-Etienne, France
5
Lyon Neuroscience Research Center, Trajectoires Team (Inserm UMR-S 1028, CNRS UMR 5292, Lyon1 & Saint-Etienne Universities), 42270 Saint-Etienne, France
6
ILFOMER (Institut Limousin de Formation aux Métiers de la Réadaptation), Université de Limoges, 87000 Limoges, France
7
HAVAE UR20217 (Handicap, Ageing, Autonomy, Environment), University of Limoges, 87000 Limoges, France
8
CHU de Poitiers, PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), 86000 Poitiers, France
9
CHU de Poitiers, Department of Neurospine Surgery & Neuromodulation, 86000 Poitiers, France
10
Prime Institute UPR 3346, CNRS, ISAE-ENSMA, Université de Poitiers, 86360 Chasseneuil-du-Poitou, France
11
Department of Neurosurgery, Universitair Ziekenhuis Brussel, 1090 Jette, Belgium
12
STIMULUS Consortium (Research and Teaching Neuromodulation VUB/UZ Brussel), Vrije Universiteit Brussel, 1090 Brussels, Belgium
13
Center for Neurosciences (C4N), Vrije Universiteit Brussel, 1090 Brussels, Belgium
14
Pain in Motion (PAIN) Research Group, Department of Physiotherapy, Human Physiology, and Anatomy, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, 1090 Brussels, Belgium
15
Research Foundation—Flanders (FWO), 1090 Brussels, Belgium
16
Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
17
Physical and Rehabilitation Medicine Unit, Poitiers University Hospital, University of Poitiers, 86021 Poitiers, France
18
Centre de Recherche sur la Cognition et l’Apprentissage UMR7295, CNRS, Université de Poitiers, Université François Rabelais de Tours, 86000 Poitiers, France
*
Author to whom correspondence should be addressed.
Medicina 2025, 61(2), 272; https://doi.org/10.3390/medicina61020272
Submission received: 12 November 2024 / Revised: 22 January 2025 / Accepted: 26 January 2025 / Published: 5 February 2025

Abstract

Background and Objectives: While shoulder injuries represent the musculoskeletal disorders (MSDs) most encountered in physical therapy, there is no consensus on their management. In attempts to provide standardized and personalized treatment, a robotic-assisted device combined with EMG biofeedback specifically dedicated to shoulder MSDs was developed. This study aimed to determine the efficacy of an 8-week rehabilitation program (3 sessions a week) using a robotic-assisted device combined with EMG biofeedback (RA-EMG group) in comparison with a conventional program (CONV group) in patients presenting with shoulder MSDs. Materials and Methods: This study is a retrospective cohort study including data from 2010 to 2013 on patients initially involved in a physical rehabilitation program in a private clinic in Chicoutimi (Canada) for shoulder MSDs. Shoulder flexion strength and range of motion were collected before and after the rehabilitation program. Forty-four patients participated in a conventional program using dumbbells (CONV group), while 73 completed a program on a robot-assisted device with EMG and visual biofeedback (RA-EMG group); both programs consisted of two sets of 20 repetitions at 60% of maximal capacity. Results: We showed that the RA-EMG had significantly greater benefits than the CONV group for shoulder flexion strength (4.45 [2.6;6.15] kg vs. 2.3 [0.90;4.775] kg, U = 761, p = 0.013) and for normalized strength (77.5 [51.3;119.1] % vs. 39.1 [16.6;89.2] %, U = 755, p = 0.016). In addition, the RA-EMG group showed a trend to greater absolute gain of ROM than the CONV group (10.0 [0;24.3] degrees vs. 5.5 [0;12.0] degrees, U = 1931, p = 0.067), and a greater benefit in normalized ROM was observed for the RA-EMG (7.4. [0;17.7] %) than the CONV group (4.6 [0;10.8], U = 1907, p = 0.046). Conclusions: The current retrospective cohort study showed that a specific and tailored 8-week rehabilitation program with constant effort by automatic adjustment of the level of resistance by EMG feedback induced greater benefits for shoulder flexion strength and a trend to improve range of motion compared to conventional rehabilitation in patients with shoulder MSDs. Future research should be pursued to determine the added potential of this approach for abduction and external rotation with a randomized controlled design.
Keywords: rehabilitation; shoulder; electromyography feedback; visual biofeedback; assistive robot; musculoskeletal disorder rehabilitation; shoulder; electromyography feedback; visual biofeedback; assistive robot; musculoskeletal disorder

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MDPI and ACS Style

Lavallière, M.; Tremblay, M.; Ojardias, E.; Turpin, M.; Perrochon, A.; Rigoard, P.; Goudman, L.; Moens, M.; David, R.; Billot, M. Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study. Medicina 2025, 61, 272. https://doi.org/10.3390/medicina61020272

AMA Style

Lavallière M, Tremblay M, Ojardias E, Turpin M, Perrochon A, Rigoard P, Goudman L, Moens M, David R, Billot M. Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study. Medicina. 2025; 61(2):272. https://doi.org/10.3390/medicina61020272

Chicago/Turabian Style

Lavallière, Martin, Mathieu Tremblay, Etienne Ojardias, Maxime Turpin, Anaïck Perrochon, Philippe Rigoard, Lisa Goudman, Maarten Moens, Romain David, and Maxime Billot. 2025. "Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study" Medicina 61, no. 2: 272. https://doi.org/10.3390/medicina61020272

APA Style

Lavallière, M., Tremblay, M., Ojardias, E., Turpin, M., Perrochon, A., Rigoard, P., Goudman, L., Moens, M., David, R., & Billot, M. (2025). Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study. Medicina, 61(2), 272. https://doi.org/10.3390/medicina61020272

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