Addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses

Abstract The efferent control chain for an upper-limb myoelectric prosthesis can be separated into 3 key areas: signal generation, signal acquisition, and device response. Data were collected from twenty trans-radial myoelectric prosthesis users using their own clinically prescribed devices, to esta...

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Autores principales: A. Chadwell, L. Kenney, S. Thies, J. Head, A. Galpin, R. Baker
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f0ed5064a3ce425d84da3a4f75d36db7
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spelling oai:doaj.org-article:f0ed5064a3ce425d84da3a4f75d36db72021-12-02T12:09:51ZAddressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses10.1038/s41598-021-82764-62045-2322https://doaj.org/article/f0ed5064a3ce425d84da3a4f75d36db72021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82764-6https://doaj.org/toc/2045-2322Abstract The efferent control chain for an upper-limb myoelectric prosthesis can be separated into 3 key areas: signal generation, signal acquisition, and device response. Data were collected from twenty trans-radial myoelectric prosthesis users using their own clinically prescribed devices, to establish the relative impact of these potential control factors on user performance (user functionality and everyday prosthesis usage). By identifying the key factor(s), we can guide future developments to ensure clinical impact. Skill in generating muscle signals was assessed via reaction times and signal tracking. To assess the predictability of signal acquisition, we inspected reaction time spread and undesired hand activations. As a measure of device response, we recorded the electromechanical delay between electrode stimulation and the onset of hand movement. Results suggest abstract measures of skill in controlling muscle signals are poorly correlated with performance. Undesired activations of the hand or incorrect responses were correlated with almost all kinematics and gaze measures suggesting unpredictability is a key factor. Significant correlations were also found between several measures of performance and the electromechanical delay; however, unexpectedly, longer electromechanical delays correlated with better performance. Future research should focus on exploring causes of unpredictability, their relative impacts on performance and interventions to address this.A. ChadwellL. KenneyS. ThiesJ. HeadA. GalpinR. BakerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
A. Chadwell
L. Kenney
S. Thies
J. Head
A. Galpin
R. Baker
Addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses
description Abstract The efferent control chain for an upper-limb myoelectric prosthesis can be separated into 3 key areas: signal generation, signal acquisition, and device response. Data were collected from twenty trans-radial myoelectric prosthesis users using their own clinically prescribed devices, to establish the relative impact of these potential control factors on user performance (user functionality and everyday prosthesis usage). By identifying the key factor(s), we can guide future developments to ensure clinical impact. Skill in generating muscle signals was assessed via reaction times and signal tracking. To assess the predictability of signal acquisition, we inspected reaction time spread and undesired hand activations. As a measure of device response, we recorded the electromechanical delay between electrode stimulation and the onset of hand movement. Results suggest abstract measures of skill in controlling muscle signals are poorly correlated with performance. Undesired activations of the hand or incorrect responses were correlated with almost all kinematics and gaze measures suggesting unpredictability is a key factor. Significant correlations were also found between several measures of performance and the electromechanical delay; however, unexpectedly, longer electromechanical delays correlated with better performance. Future research should focus on exploring causes of unpredictability, their relative impacts on performance and interventions to address this.
format article
author A. Chadwell
L. Kenney
S. Thies
J. Head
A. Galpin
R. Baker
author_facet A. Chadwell
L. Kenney
S. Thies
J. Head
A. Galpin
R. Baker
author_sort A. Chadwell
title Addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses
title_short Addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses
title_full Addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses
title_fullStr Addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses
title_full_unstemmed Addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses
title_sort addressing unpredictability may be the key to improving performance with current clinically prescribed myoelectric prostheses
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f0ed5064a3ce425d84da3a4f75d36db7
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