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Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children

In this study, a one-degree-of-freedom myoelectric prosthesis system was proposed using a Parent Wireless Assistive Interface (PWAI) that allowed an external assistant (e. g., the parent of the user) to immediately adjust the parameters of the prosthetic hand controller. In the PWAI, the myoelectric...

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Autores principales: Hiyoshi, Yutaro, Murai, Yuta, Yabuki, Yoshiko, Takahana, Kenichi, Morishita, Soichiro, Jiang, Yinlai, Togo, Shunta, Takayama, Shinichiro, Yokoi, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082954/
https://www.ncbi.nlm.nih.gov/pubmed/30116188
http://dx.doi.org/10.3389/fnbot.2018.00048
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author Hiyoshi, Yutaro
Murai, Yuta
Yabuki, Yoshiko
Takahana, Kenichi
Morishita, Soichiro
Jiang, Yinlai
Togo, Shunta
Takayama, Shinichiro
Yokoi, Hiroshi
author_facet Hiyoshi, Yutaro
Murai, Yuta
Yabuki, Yoshiko
Takahana, Kenichi
Morishita, Soichiro
Jiang, Yinlai
Togo, Shunta
Takayama, Shinichiro
Yokoi, Hiroshi
author_sort Hiyoshi, Yutaro
collection PubMed
description In this study, a one-degree-of-freedom myoelectric prosthesis system was proposed using a Parent Wireless Assistive Interface (PWAI) that allowed an external assistant (e. g., the parent of the user) to immediately adjust the parameters of the prosthetic hand controller. In the PWAI, the myoelectric potential of use of the upper limb was plotted on an external terminal in real time. Simultaneously, the assistant adjusted the parameters of the prosthetic hand control device and manually manipulated the prosthetic hand. With these functions, children that have difficulty verbally communicating could obtain properly adjusted prosthetic hands. In addition, non-experts could easily adjust and manually manipulate the prosthesis; therefore, training for the prosthetic hands could be performed at home. Two types of hand motion discrimination methods were constructed in this study of the myoelectric control system: (1) a threshold control based on the myoelectric potential amplitude information and (2) a pattern recognition of the frequency domain features. In an evaluation test of the prosthesis threshold control system, child subjects achieved discrimination rates as high as 89%, compared with 96% achieved by adult subjects. Furthermore, the high discrimination rate was maintained by sequentially updating the threshold value. In addition, a discrimination rate of 82% on average was obtained by recognizing three motions using the pattern recognition method.
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spelling pubmed-60829542018-08-16 Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children Hiyoshi, Yutaro Murai, Yuta Yabuki, Yoshiko Takahana, Kenichi Morishita, Soichiro Jiang, Yinlai Togo, Shunta Takayama, Shinichiro Yokoi, Hiroshi Front Neurorobot Neurorobotics In this study, a one-degree-of-freedom myoelectric prosthesis system was proposed using a Parent Wireless Assistive Interface (PWAI) that allowed an external assistant (e. g., the parent of the user) to immediately adjust the parameters of the prosthetic hand controller. In the PWAI, the myoelectric potential of use of the upper limb was plotted on an external terminal in real time. Simultaneously, the assistant adjusted the parameters of the prosthetic hand control device and manually manipulated the prosthetic hand. With these functions, children that have difficulty verbally communicating could obtain properly adjusted prosthetic hands. In addition, non-experts could easily adjust and manually manipulate the prosthesis; therefore, training for the prosthetic hands could be performed at home. Two types of hand motion discrimination methods were constructed in this study of the myoelectric control system: (1) a threshold control based on the myoelectric potential amplitude information and (2) a pattern recognition of the frequency domain features. In an evaluation test of the prosthesis threshold control system, child subjects achieved discrimination rates as high as 89%, compared with 96% achieved by adult subjects. Furthermore, the high discrimination rate was maintained by sequentially updating the threshold value. In addition, a discrimination rate of 82% on average was obtained by recognizing three motions using the pattern recognition method. Frontiers Media S.A. 2018-08-02 /pmc/articles/PMC6082954/ /pubmed/30116188 http://dx.doi.org/10.3389/fnbot.2018.00048 Text en Copyright © 2018 Hiyoshi, Murai, Yabuki, Takahana, Morishita, Jiang, Togo, Takayama and Yokoi. http://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 Neurorobotics
Hiyoshi, Yutaro
Murai, Yuta
Yabuki, Yoshiko
Takahana, Kenichi
Morishita, Soichiro
Jiang, Yinlai
Togo, Shunta
Takayama, Shinichiro
Yokoi, Hiroshi
Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children
title Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children
title_full Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children
title_fullStr Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children
title_full_unstemmed Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children
title_short Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children
title_sort development of a parent wireless assistive interface for myoelectric prosthetic hands for children
topic Neurorobotics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082954/
https://www.ncbi.nlm.nih.gov/pubmed/30116188
http://dx.doi.org/10.3389/fnbot.2018.00048
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