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Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors
The Action Research Arm Test (ARAT) is a standardized outcome measure that can be improved by integrating sensors for hand motion analysis. The purpose of this study is to measure the flexion angle of the finger joints and fingertip forces during the performance of three subscales (Grasp, Grip, and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105674/ https://www.ncbi.nlm.nih.gov/pubmed/35590966 http://dx.doi.org/10.3390/s22093276 |
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author | Padilla-Magaña, Jesus Fernando Peña-Pitarch, Esteban Sánchez-Suarez, Isahi Ticó-Falguera, Neus |
author_facet | Padilla-Magaña, Jesus Fernando Peña-Pitarch, Esteban Sánchez-Suarez, Isahi Ticó-Falguera, Neus |
author_sort | Padilla-Magaña, Jesus Fernando |
collection | PubMed |
description | The Action Research Arm Test (ARAT) is a standardized outcome measure that can be improved by integrating sensors for hand motion analysis. The purpose of this study is to measure the flexion angle of the finger joints and fingertip forces during the performance of three subscales (Grasp, Grip, and Pinch) of the ARAT, using a data glove (CyberGlove II(®)) and five force-sensing resistors (FSRs) simultaneously. An experimental study was carried out with 25 healthy subjects (right-handed). The results showed that the mean flexion angles of the finger joints required to perform the 16 activities were Thumb (Carpometacarpal Joint (CMC) 28.56°, Metacarpophalangeal Joint (MCP) 26.84°, and Interphalangeal Joint (IP) 13.23°), Index (MCP 46.18°, Index Proximal Interphalangeal Joint (PIP) 38.89°), Middle (MCP 47.5°, PIP 42.62°), Ring (MCP 44.09°, PIP 39.22°), and Little (MCP 31.50°, PIP 22.10°). The averaged fingertip force exerted in the Grasp Subscale was 8.2 N, in Grip subscale 6.61 N and Pinch subscale 3.89 N. These results suggest that the integration of multiple sensors during the performance of the ARAT has clinical relevance, allowing therapists and other health professionals to perform a more sensitive, objective, and quantitative assessment of the hand function. |
format | Online Article Text |
id | pubmed-9105674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91056742022-05-14 Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors Padilla-Magaña, Jesus Fernando Peña-Pitarch, Esteban Sánchez-Suarez, Isahi Ticó-Falguera, Neus Sensors (Basel) Article The Action Research Arm Test (ARAT) is a standardized outcome measure that can be improved by integrating sensors for hand motion analysis. The purpose of this study is to measure the flexion angle of the finger joints and fingertip forces during the performance of three subscales (Grasp, Grip, and Pinch) of the ARAT, using a data glove (CyberGlove II(®)) and five force-sensing resistors (FSRs) simultaneously. An experimental study was carried out with 25 healthy subjects (right-handed). The results showed that the mean flexion angles of the finger joints required to perform the 16 activities were Thumb (Carpometacarpal Joint (CMC) 28.56°, Metacarpophalangeal Joint (MCP) 26.84°, and Interphalangeal Joint (IP) 13.23°), Index (MCP 46.18°, Index Proximal Interphalangeal Joint (PIP) 38.89°), Middle (MCP 47.5°, PIP 42.62°), Ring (MCP 44.09°, PIP 39.22°), and Little (MCP 31.50°, PIP 22.10°). The averaged fingertip force exerted in the Grasp Subscale was 8.2 N, in Grip subscale 6.61 N and Pinch subscale 3.89 N. These results suggest that the integration of multiple sensors during the performance of the ARAT has clinical relevance, allowing therapists and other health professionals to perform a more sensitive, objective, and quantitative assessment of the hand function. MDPI 2022-04-24 /pmc/articles/PMC9105674/ /pubmed/35590966 http://dx.doi.org/10.3390/s22093276 Text en © 2022 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 Padilla-Magaña, Jesus Fernando Peña-Pitarch, Esteban Sánchez-Suarez, Isahi Ticó-Falguera, Neus Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors |
title | Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors |
title_full | Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors |
title_fullStr | Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors |
title_full_unstemmed | Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors |
title_short | Hand Motion Analysis during the Execution of the Action Research Arm Test Using Multiple Sensors |
title_sort | hand motion analysis during the execution of the action research arm test using multiple sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105674/ https://www.ncbi.nlm.nih.gov/pubmed/35590966 http://dx.doi.org/10.3390/s22093276 |
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