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Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation

The human hand has compliant properties arising from muscle biomechanics and neural reflexes, which are absent in conventional prosthetic hands. We recently proved the feasibility to restore neuromuscular reflex control (NRC) to prosthetic hands using real-time computing neuromorphic chips. Here we...

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Autores principales: Luo, Qi, Niu, Chuanxin M., Chou, Chih-Hong, Liang, Wenyuan, Deng, Xiaoqian, Hao, Manzhao, Lan, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712573/
https://www.ncbi.nlm.nih.gov/pubmed/34970115
http://dx.doi.org/10.3389/fnins.2021.783505
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author Luo, Qi
Niu, Chuanxin M.
Chou, Chih-Hong
Liang, Wenyuan
Deng, Xiaoqian
Hao, Manzhao
Lan, Ning
author_facet Luo, Qi
Niu, Chuanxin M.
Chou, Chih-Hong
Liang, Wenyuan
Deng, Xiaoqian
Hao, Manzhao
Lan, Ning
author_sort Luo, Qi
collection PubMed
description The human hand has compliant properties arising from muscle biomechanics and neural reflexes, which are absent in conventional prosthetic hands. We recently proved the feasibility to restore neuromuscular reflex control (NRC) to prosthetic hands using real-time computing neuromorphic chips. Here we show that restored NRC augments the ability of individuals with forearm amputation to complete grasping tasks, including standard Box and Blocks Test (BBT), Golf Balls Test (GBT), and Potato Chips Test (PCT). The latter two were more challenging, but novel to prosthesis tests. Performance of a biorealistic controller (BC) with restored NRC was compared to that of a proportional linear feedback (PLF) controller. Eleven individuals with forearm amputation were divided into two groups: one with experience of myocontrol of a prosthetic hand and another without any. Controller performances were evaluated by success rate, failure (drop/break) rate in each grasping task. In controller property tests, biorealistic control achieved a better compliant property with a 23.2% wider range of stiffness adjustment than that of PLF control. In functional grasping tests, participants could control prosthetic hands more rapidly and steadily with neuromuscular reflex. For participants with myocontrol experience, biorealistic control yielded 20.4, 39.4, and 195.2% improvements in BBT, GBT, and PCT, respectively, compared to PLF control. Interestingly, greater improvements were achieved by participants without any myocontrol experience for BBT, GBT, and PCT at 27.4, 48.9, and 344.3%, respectively. The functional gain of biorealistic control over conventional control was more dramatic in more difficult grasp tasks of GBT and PCT, demonstrating the advantage of NRC. Results support the hypothesis that restoring neuromuscular reflex in hand prosthesis can improve neural motor compatibility to human sensorimotor system, hence enabling individuals with amputation to perform delicate grasps that are not tested with conventional prosthetic hands.
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spelling pubmed-87125732021-12-29 Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation Luo, Qi Niu, Chuanxin M. Chou, Chih-Hong Liang, Wenyuan Deng, Xiaoqian Hao, Manzhao Lan, Ning Front Neurosci Neuroscience The human hand has compliant properties arising from muscle biomechanics and neural reflexes, which are absent in conventional prosthetic hands. We recently proved the feasibility to restore neuromuscular reflex control (NRC) to prosthetic hands using real-time computing neuromorphic chips. Here we show that restored NRC augments the ability of individuals with forearm amputation to complete grasping tasks, including standard Box and Blocks Test (BBT), Golf Balls Test (GBT), and Potato Chips Test (PCT). The latter two were more challenging, but novel to prosthesis tests. Performance of a biorealistic controller (BC) with restored NRC was compared to that of a proportional linear feedback (PLF) controller. Eleven individuals with forearm amputation were divided into two groups: one with experience of myocontrol of a prosthetic hand and another without any. Controller performances were evaluated by success rate, failure (drop/break) rate in each grasping task. In controller property tests, biorealistic control achieved a better compliant property with a 23.2% wider range of stiffness adjustment than that of PLF control. In functional grasping tests, participants could control prosthetic hands more rapidly and steadily with neuromuscular reflex. For participants with myocontrol experience, biorealistic control yielded 20.4, 39.4, and 195.2% improvements in BBT, GBT, and PCT, respectively, compared to PLF control. Interestingly, greater improvements were achieved by participants without any myocontrol experience for BBT, GBT, and PCT at 27.4, 48.9, and 344.3%, respectively. The functional gain of biorealistic control over conventional control was more dramatic in more difficult grasp tasks of GBT and PCT, demonstrating the advantage of NRC. Results support the hypothesis that restoring neuromuscular reflex in hand prosthesis can improve neural motor compatibility to human sensorimotor system, hence enabling individuals with amputation to perform delicate grasps that are not tested with conventional prosthetic hands. Frontiers Media S.A. 2021-12-14 /pmc/articles/PMC8712573/ /pubmed/34970115 http://dx.doi.org/10.3389/fnins.2021.783505 Text en Copyright © 2021 Luo, Niu, Chou, Liang, Deng, Hao and Lan. 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 Neuroscience
Luo, Qi
Niu, Chuanxin M.
Chou, Chih-Hong
Liang, Wenyuan
Deng, Xiaoqian
Hao, Manzhao
Lan, Ning
Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation
title Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation
title_full Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation
title_fullStr Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation
title_full_unstemmed Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation
title_short Biorealistic Control of Hand Prosthesis Augments Functional Performance of Individuals With Amputation
title_sort biorealistic control of hand prosthesis augments functional performance of individuals with amputation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712573/
https://www.ncbi.nlm.nih.gov/pubmed/34970115
http://dx.doi.org/10.3389/fnins.2021.783505
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