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Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs

Many power-assist wearable exoskeletons have been developed to provide walking support and gait rehabilitation for elderly subjects and gait-disorder patients. Most designers have focused on a direct power-assist to the wearer's lower limbs. However, gait is a coordinated rhythmic movement of f...

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Autores principales: Yap, Robin Miao Sin, Ogawa, Ken-ichiro, Hirobe, Yuki, Nagashima, Terumasa, Seki, Masatoshi, Nakayama, Masayuki, Ichiryu, Ken, Miyake, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805921/
https://www.ncbi.nlm.nih.gov/pubmed/33501041
http://dx.doi.org/10.3389/frobt.2019.00025
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author Yap, Robin Miao Sin
Ogawa, Ken-ichiro
Hirobe, Yuki
Nagashima, Terumasa
Seki, Masatoshi
Nakayama, Masayuki
Ichiryu, Ken
Miyake, Yoshihiro
author_facet Yap, Robin Miao Sin
Ogawa, Ken-ichiro
Hirobe, Yuki
Nagashima, Terumasa
Seki, Masatoshi
Nakayama, Masayuki
Ichiryu, Ken
Miyake, Yoshihiro
author_sort Yap, Robin Miao Sin
collection PubMed
description Many power-assist wearable exoskeletons have been developed to provide walking support and gait rehabilitation for elderly subjects and gait-disorder patients. Most designers have focused on a direct power-assist to the wearer's lower limbs. However, gait is a coordinated rhythmic movement of four limbs controlled intrinsically by central pattern generators, with the upper limbs playing an important role in walking. Maintaining a normal gait can become difficult as a person ages, because of decreases in limb coordination, stride length, and gait speed. It is known that coordination mechanisms can be governed by the principle of mutual entrainment, in which synchronization develops through the interaction between nonlinear phase oscillators in biological systems. This principle led us to hypothesize that interactive rhythmic stimulation to upper-limb movements might compensate for the age-related decline in coordination, thereby improving the gait in the elderly. To investigate this hypothesis, we developed a gait-assist wearable exoskeleton that employs interactive rhythmic stimulation to the upper limbs. In particular, we investigated the effects on spatial (i.e., hip-swing amplitude) and temporal (i.e., hip-swing period) gait parameters by conducting walking experiments with 12 healthy elderly subjects under one control condition and five upper-limb-assist conditions, where the output motor torque was applied at five different upper-limb swing positions. The results showed a statistically significant increase in the mean hip-swing amplitude, with a mean increment of about 7% between the control and upper-limb-assist conditions. They also showed a statistically significant decrease in the mean hip-swing period, with a mean decrement of about 2.3% between the control and one of the upper-limb-assist conditions. Although the increase in the hip-swing amplitude and the decrease in the hip-swing period were both small, the results indicate the possibility that interactive rhythmic stimulation to the upper limbs might have a positive effect on the gait of the elderly.
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spelling pubmed-78059212021-01-25 Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs Yap, Robin Miao Sin Ogawa, Ken-ichiro Hirobe, Yuki Nagashima, Terumasa Seki, Masatoshi Nakayama, Masayuki Ichiryu, Ken Miyake, Yoshihiro Front Robot AI Robotics and AI Many power-assist wearable exoskeletons have been developed to provide walking support and gait rehabilitation for elderly subjects and gait-disorder patients. Most designers have focused on a direct power-assist to the wearer's lower limbs. However, gait is a coordinated rhythmic movement of four limbs controlled intrinsically by central pattern generators, with the upper limbs playing an important role in walking. Maintaining a normal gait can become difficult as a person ages, because of decreases in limb coordination, stride length, and gait speed. It is known that coordination mechanisms can be governed by the principle of mutual entrainment, in which synchronization develops through the interaction between nonlinear phase oscillators in biological systems. This principle led us to hypothesize that interactive rhythmic stimulation to upper-limb movements might compensate for the age-related decline in coordination, thereby improving the gait in the elderly. To investigate this hypothesis, we developed a gait-assist wearable exoskeleton that employs interactive rhythmic stimulation to the upper limbs. In particular, we investigated the effects on spatial (i.e., hip-swing amplitude) and temporal (i.e., hip-swing period) gait parameters by conducting walking experiments with 12 healthy elderly subjects under one control condition and five upper-limb-assist conditions, where the output motor torque was applied at five different upper-limb swing positions. The results showed a statistically significant increase in the mean hip-swing amplitude, with a mean increment of about 7% between the control and upper-limb-assist conditions. They also showed a statistically significant decrease in the mean hip-swing period, with a mean decrement of about 2.3% between the control and one of the upper-limb-assist conditions. Although the increase in the hip-swing amplitude and the decrease in the hip-swing period were both small, the results indicate the possibility that interactive rhythmic stimulation to the upper limbs might have a positive effect on the gait of the elderly. Frontiers Media S.A. 2019-04-24 /pmc/articles/PMC7805921/ /pubmed/33501041 http://dx.doi.org/10.3389/frobt.2019.00025 Text en Copyright © 2019 Yap, Ogawa, Hirobe, Nagashima, Seki, Nakayama, Ichiryu and Miyake. 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 Robotics and AI
Yap, Robin Miao Sin
Ogawa, Ken-ichiro
Hirobe, Yuki
Nagashima, Terumasa
Seki, Masatoshi
Nakayama, Masayuki
Ichiryu, Ken
Miyake, Yoshihiro
Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs
title Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs
title_full Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs
title_fullStr Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs
title_full_unstemmed Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs
title_short Gait-Assist Wearable Robot Using Interactive Rhythmic Stimulation to the Upper Limbs
title_sort gait-assist wearable robot using interactive rhythmic stimulation to the upper limbs
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805921/
https://www.ncbi.nlm.nih.gov/pubmed/33501041
http://dx.doi.org/10.3389/frobt.2019.00025
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