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A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study

Standard upper-limb motor function impairment assessments, such as the Fugl-Meyer Assessment (FMA), are a critical aspect of rehabilitation after neurological disorders. These assessments typically take a long time (about 30 min for the FMA) for a clinician to perform on a patient, which is a severe...

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Detalles Bibliográficos
Autores principales: Otten, Paul, Kim, Jonghyun, Son, Sang Hyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570412/
https://www.ncbi.nlm.nih.gov/pubmed/26287206
http://dx.doi.org/10.3390/s150820097
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author Otten, Paul
Kim, Jonghyun
Son, Sang Hyuk
author_facet Otten, Paul
Kim, Jonghyun
Son, Sang Hyuk
author_sort Otten, Paul
collection PubMed
description Standard upper-limb motor function impairment assessments, such as the Fugl-Meyer Assessment (FMA), are a critical aspect of rehabilitation after neurological disorders. These assessments typically take a long time (about 30 min for the FMA) for a clinician to perform on a patient, which is a severe burden in a clinical environment. In this paper, we propose a framework for automating upper-limb motor assessments that uses low-cost sensors to collect movement data. The sensor data is then processed through a machine learning algorithm to determine a score for a patient’s upper-limb functionality. To demonstrate the feasibility of the proposed approach, we implemented a system based on the proposed framework that can automate most of the FMA. Our experiment shows that the system provides similar FMA scores to clinician scores, and reduces the time spent evaluating each patient by 82%. Moreover, the proposed framework can be used to implement customized tests or tests specified in other existing standard assessment methods.
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spelling pubmed-45704122015-09-17 A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study Otten, Paul Kim, Jonghyun Son, Sang Hyuk Sensors (Basel) Article Standard upper-limb motor function impairment assessments, such as the Fugl-Meyer Assessment (FMA), are a critical aspect of rehabilitation after neurological disorders. These assessments typically take a long time (about 30 min for the FMA) for a clinician to perform on a patient, which is a severe burden in a clinical environment. In this paper, we propose a framework for automating upper-limb motor assessments that uses low-cost sensors to collect movement data. The sensor data is then processed through a machine learning algorithm to determine a score for a patient’s upper-limb functionality. To demonstrate the feasibility of the proposed approach, we implemented a system based on the proposed framework that can automate most of the FMA. Our experiment shows that the system provides similar FMA scores to clinician scores, and reduces the time spent evaluating each patient by 82%. Moreover, the proposed framework can be used to implement customized tests or tests specified in other existing standard assessment methods. MDPI 2015-08-14 /pmc/articles/PMC4570412/ /pubmed/26287206 http://dx.doi.org/10.3390/s150820097 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Otten, Paul
Kim, Jonghyun
Son, Sang Hyuk
A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study
title A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study
title_full A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study
title_fullStr A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study
title_full_unstemmed A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study
title_short A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study
title_sort framework to automate assessment of upper-limb motor function impairment: a feasibility study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570412/
https://www.ncbi.nlm.nih.gov/pubmed/26287206
http://dx.doi.org/10.3390/s150820097
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