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First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study
Ultrasound-based sensing of muscle deformation, known as sonomyography, has shown promise for accurately classifying the intended hand grasps of individuals with upper limb loss in offline settings. Building upon this previous work, we present the first demonstration of real-time prosthetic hand con...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114778/ https://www.ncbi.nlm.nih.gov/pubmed/35600893 http://dx.doi.org/10.3389/fbioe.2022.876836 |
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author | Engdahl, Susannah M. Acuña, Samuel A. King, Erica L. Bashatah, Ahmed Sikdar, Siddhartha |
author_facet | Engdahl, Susannah M. Acuña, Samuel A. King, Erica L. Bashatah, Ahmed Sikdar, Siddhartha |
author_sort | Engdahl, Susannah M. |
collection | PubMed |
description | Ultrasound-based sensing of muscle deformation, known as sonomyography, has shown promise for accurately classifying the intended hand grasps of individuals with upper limb loss in offline settings. Building upon this previous work, we present the first demonstration of real-time prosthetic hand control using sonomyography to perform functional tasks. An individual with congenital bilateral limb absence was fitted with sockets containing a low-profile ultrasound transducer placed over forearm muscle tissue in the residual limbs. A classifier was trained using linear discriminant analysis to recognize ultrasound images of muscle contractions for three discrete hand configurations (rest, tripod grasp, index finger point) under a variety of arm positions designed to cover the reachable workspace. A prosthetic hand mounted to the socket was then controlled using this classifier. Using this real-time sonomyographic control, the participant was able to complete three functional tasks that required selecting different hand grasps in order to grasp and move one-inch wooden blocks over a broad range of arm positions. Additionally, these tests were successfully repeated without retraining the classifier across 3 hours of prosthesis use and following simulated donning and doffing of the socket. This study supports the feasibility of using sonomyography to control upper limb prostheses in real-world applications. |
format | Online Article Text |
id | pubmed-9114778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91147782022-05-19 First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study Engdahl, Susannah M. Acuña, Samuel A. King, Erica L. Bashatah, Ahmed Sikdar, Siddhartha Front Bioeng Biotechnol Bioengineering and Biotechnology Ultrasound-based sensing of muscle deformation, known as sonomyography, has shown promise for accurately classifying the intended hand grasps of individuals with upper limb loss in offline settings. Building upon this previous work, we present the first demonstration of real-time prosthetic hand control using sonomyography to perform functional tasks. An individual with congenital bilateral limb absence was fitted with sockets containing a low-profile ultrasound transducer placed over forearm muscle tissue in the residual limbs. A classifier was trained using linear discriminant analysis to recognize ultrasound images of muscle contractions for three discrete hand configurations (rest, tripod grasp, index finger point) under a variety of arm positions designed to cover the reachable workspace. A prosthetic hand mounted to the socket was then controlled using this classifier. Using this real-time sonomyographic control, the participant was able to complete three functional tasks that required selecting different hand grasps in order to grasp and move one-inch wooden blocks over a broad range of arm positions. Additionally, these tests were successfully repeated without retraining the classifier across 3 hours of prosthesis use and following simulated donning and doffing of the socket. This study supports the feasibility of using sonomyography to control upper limb prostheses in real-world applications. Frontiers Media S.A. 2022-05-04 /pmc/articles/PMC9114778/ /pubmed/35600893 http://dx.doi.org/10.3389/fbioe.2022.876836 Text en Copyright © 2022 Engdahl, Acuña, King, Bashatah and Sikdar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Engdahl, Susannah M. Acuña, Samuel A. King, Erica L. Bashatah, Ahmed Sikdar, Siddhartha First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study |
title | First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study |
title_full | First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study |
title_fullStr | First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study |
title_full_unstemmed | First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study |
title_short | First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study |
title_sort | first demonstration of functional task performance using a sonomyographic prosthesis: a case study |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114778/ https://www.ncbi.nlm.nih.gov/pubmed/35600893 http://dx.doi.org/10.3389/fbioe.2022.876836 |
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