Cargando…

Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke

Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. Upper extremity robot therapy offers a number of advantages over manual therapies, but can suffer from slacking behavior, where the user lets the robot guide their movements even when they are capable...

Descripción completa

Detalles Bibliográficos
Autores principales: Arantes, Ana P., Bressan, Nadja, Borges, Ludymila R., McGibbon, Chris A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566685/
https://www.ncbi.nlm.nih.gov/pubmed/37819932
http://dx.doi.org/10.1371/journal.pone.0292627
_version_ 1785118963712131072
author Arantes, Ana P.
Bressan, Nadja
Borges, Ludymila R.
McGibbon, Chris A.
author_facet Arantes, Ana P.
Bressan, Nadja
Borges, Ludymila R.
McGibbon, Chris A.
author_sort Arantes, Ana P.
collection PubMed
description Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. Upper extremity robot therapy offers a number of advantages over manual therapies, but can suffer from slacking behavior, where the user lets the robot guide their movements even when they are capable of doing so by themselves, representing a major barrier to reaching the full potential of robot-assist rehabilitation. This is a pilot clinical study that investigates the use of an electromyography-based adaptive assist-as-needed controller to avoid slacking behavior during robotic rehabilitation for people with stroke. The study involved a convenience sample of five individuals with chronic stroke who underwent a robot therapy program utilizing horizontal arm tasks. The Fugl-Meyer assessment (FM) was used to document motor impairment status at baseline. Velocity, time, and position were quantified as performance parameters during the training. Arm and shoulder surface electromyography (EMG) and electroencephalography (EEG) were used to assess the controller’s performance. The cross-sectional results showed strong second-order relationships between FM score and outcome measures, where performance metrics (path length and accuracy) were sensitive to change in participants with lower functional status. In comparison, speed, EMG and EEG metrics were more sensitive to change in participants with higher functional status. EEG signal amplitude increased when the robot suggested that the robot was inducing a challenge during the training tasks. This study highlights the importance of multi-sensor integration to monitor and improve upper-extremity robotic therapy.
format Online
Article
Text
id pubmed-10566685
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-105666852023-10-12 Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke Arantes, Ana P. Bressan, Nadja Borges, Ludymila R. McGibbon, Chris A. PLoS One Research Article Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. Upper extremity robot therapy offers a number of advantages over manual therapies, but can suffer from slacking behavior, where the user lets the robot guide their movements even when they are capable of doing so by themselves, representing a major barrier to reaching the full potential of robot-assist rehabilitation. This is a pilot clinical study that investigates the use of an electromyography-based adaptive assist-as-needed controller to avoid slacking behavior during robotic rehabilitation for people with stroke. The study involved a convenience sample of five individuals with chronic stroke who underwent a robot therapy program utilizing horizontal arm tasks. The Fugl-Meyer assessment (FM) was used to document motor impairment status at baseline. Velocity, time, and position were quantified as performance parameters during the training. Arm and shoulder surface electromyography (EMG) and electroencephalography (EEG) were used to assess the controller’s performance. The cross-sectional results showed strong second-order relationships between FM score and outcome measures, where performance metrics (path length and accuracy) were sensitive to change in participants with lower functional status. In comparison, speed, EMG and EEG metrics were more sensitive to change in participants with higher functional status. EEG signal amplitude increased when the robot suggested that the robot was inducing a challenge during the training tasks. This study highlights the importance of multi-sensor integration to monitor and improve upper-extremity robotic therapy. Public Library of Science 2023-10-11 /pmc/articles/PMC10566685/ /pubmed/37819932 http://dx.doi.org/10.1371/journal.pone.0292627 Text en © 2023 Arantes et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Arantes, Ana P.
Bressan, Nadja
Borges, Ludymila R.
McGibbon, Chris A.
Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
title Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
title_full Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
title_fullStr Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
title_full_unstemmed Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
title_short Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
title_sort evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566685/
https://www.ncbi.nlm.nih.gov/pubmed/37819932
http://dx.doi.org/10.1371/journal.pone.0292627
work_keys_str_mv AT arantesanap evaluationofanovelrealtimeadaptiveassistasneededcontrollerforrobotassistedupperextremityrehabilitationfollowingstroke
AT bressannadja evaluationofanovelrealtimeadaptiveassistasneededcontrollerforrobotassistedupperextremityrehabilitationfollowingstroke
AT borgesludymilar evaluationofanovelrealtimeadaptiveassistasneededcontrollerforrobotassistedupperextremityrehabilitationfollowingstroke
AT mcgibbonchrisa evaluationofanovelrealtimeadaptiveassistasneededcontrollerforrobotassistedupperextremityrehabilitationfollowingstroke