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Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton

Stroke is a leading cause of disability and death worldwide, with a prevalence of 200 millions of cases worldwide. Motor disability is presented in 80% of patients. In this context, physical rehabilitation plays a fundamental role for gradually recovery of mobility. In this work, we designed a robot...

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Detalles Bibliográficos
Autores principales: Bonilla, Daniel, Bravo, Manuela, Bonilla, Stephany P., Iragorri, Angela M., Mendez, Diego, Mondragon, Ivan F., Alvarado-Rojas, Catalina, Colorado, Julian D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376571/
https://www.ncbi.nlm.nih.gov/pubmed/37508798
http://dx.doi.org/10.3390/bioengineering10070770
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author Bonilla, Daniel
Bravo, Manuela
Bonilla, Stephany P.
Iragorri, Angela M.
Mendez, Diego
Mondragon, Ivan F.
Alvarado-Rojas, Catalina
Colorado, Julian D.
author_facet Bonilla, Daniel
Bravo, Manuela
Bonilla, Stephany P.
Iragorri, Angela M.
Mendez, Diego
Mondragon, Ivan F.
Alvarado-Rojas, Catalina
Colorado, Julian D.
author_sort Bonilla, Daniel
collection PubMed
description Stroke is a leading cause of disability and death worldwide, with a prevalence of 200 millions of cases worldwide. Motor disability is presented in 80% of patients. In this context, physical rehabilitation plays a fundamental role for gradually recovery of mobility. In this work, we designed a robotic hand exoskeleton to support rehabilitation of patients after a stroke episode. The system acquires electromyographic (EMG) signals in the forearm, and automatically estimates the movement intention for five gestures. Subsequently, we developed a predictive adaptive control of the exoskeleton to compensate for three different levels of muscle fatigue during the rehabilitation therapy exercises. The proposed system could be used to assist the rehabilitation therapy of the patients by providing a repetitive, intense, and adaptive assistance.
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spelling pubmed-103765712023-07-29 Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton Bonilla, Daniel Bravo, Manuela Bonilla, Stephany P. Iragorri, Angela M. Mendez, Diego Mondragon, Ivan F. Alvarado-Rojas, Catalina Colorado, Julian D. Bioengineering (Basel) Article Stroke is a leading cause of disability and death worldwide, with a prevalence of 200 millions of cases worldwide. Motor disability is presented in 80% of patients. In this context, physical rehabilitation plays a fundamental role for gradually recovery of mobility. In this work, we designed a robotic hand exoskeleton to support rehabilitation of patients after a stroke episode. The system acquires electromyographic (EMG) signals in the forearm, and automatically estimates the movement intention for five gestures. Subsequently, we developed a predictive adaptive control of the exoskeleton to compensate for three different levels of muscle fatigue during the rehabilitation therapy exercises. The proposed system could be used to assist the rehabilitation therapy of the patients by providing a repetitive, intense, and adaptive assistance. MDPI 2023-06-27 /pmc/articles/PMC10376571/ /pubmed/37508798 http://dx.doi.org/10.3390/bioengineering10070770 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bonilla, Daniel
Bravo, Manuela
Bonilla, Stephany P.
Iragorri, Angela M.
Mendez, Diego
Mondragon, Ivan F.
Alvarado-Rojas, Catalina
Colorado, Julian D.
Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton
title Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton
title_full Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton
title_fullStr Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton
title_full_unstemmed Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton
title_short Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton
title_sort progressive rehabilitation based on emg gesture classification and an mpc-driven exoskeleton
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376571/
https://www.ncbi.nlm.nih.gov/pubmed/37508798
http://dx.doi.org/10.3390/bioengineering10070770
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