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Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults

BACKGROUND: A robotic exoskeleton device is an intelligent system designed to improve gait performance and quality of life for the wearer. Robotic technology has developed rapidly in recent years, and several robot-assisted gait devices were developed to enhance gait function and activities of daily...

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Autores principales: Lee, Su-Hyun, Lee, Hwang-Jae, Chang, Won Hyuk, Choi, Byung-Ok, Lee, Jusuk, Kim, Jeonghun, Ryu, Gyu-Ha, Kim, Yun-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706419/
https://www.ncbi.nlm.nih.gov/pubmed/29183379
http://dx.doi.org/10.1186/s12984-017-0333-z
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author Lee, Su-Hyun
Lee, Hwang-Jae
Chang, Won Hyuk
Choi, Byung-Ok
Lee, Jusuk
Kim, Jeonghun
Ryu, Gyu-Ha
Kim, Yun-Hee
author_facet Lee, Su-Hyun
Lee, Hwang-Jae
Chang, Won Hyuk
Choi, Byung-Ok
Lee, Jusuk
Kim, Jeonghun
Ryu, Gyu-Ha
Kim, Yun-Hee
author_sort Lee, Su-Hyun
collection PubMed
description BACKGROUND: A robotic exoskeleton device is an intelligent system designed to improve gait performance and quality of life for the wearer. Robotic technology has developed rapidly in recent years, and several robot-assisted gait devices were developed to enhance gait function and activities of daily living in elderly adults and patients with gait disorders. In this study, we investigated the effects of the Gait-enhancing Mechatronic System (GEMS), a new wearable robotic hip-assist device developed by Samsung Electronics Co, Ltd., Korea, on gait performance and foot pressure distribution in elderly adults. METHODS: Thirty elderly adults who had no neurological or musculoskeletal abnormalities affecting gait participated in this study. A three-dimensional (3D) motion capture system, surface electromyography and the F-Scan system were used to collect data on spatiotemporal gait parameters, muscle activity and foot pressure distribution under three conditions: free gait without robot assistance (FG), robot-assisted gait with zero torque (RAG-Z) and robot-assisted gait (RAG). RESULTS: We found increased gait speed, cadence, stride length and single support time in the RAG condition. Reduced rectus femoris and medial gastrocnemius muscle activity throughout the terminal stance phase and reduced effort of the medial gastrocnemius muscle throughout the pre-swing phase were also observed in the RAG condition. In addition, walking with the assistance of GEMS resulted in a significant increase in foot pressure distribution, specifically in maximum force and peak pressure of the total foot, medial masks, anterior masks and posterior masks. CONCLUSION: The results of the present study reveal that GEMS may present an alternative way of restoring age-related changes in gait such as gait instability with muscle weakness, reduced step force and lower foot pressure in elderly adults. In addition, GEMS improved gait performance by improving push-off power and walking speed and reducing muscle activity in the lower extremities. TRIAL REGISTRATION: NCT02843828.
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spelling pubmed-57064192017-12-06 Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults Lee, Su-Hyun Lee, Hwang-Jae Chang, Won Hyuk Choi, Byung-Ok Lee, Jusuk Kim, Jeonghun Ryu, Gyu-Ha Kim, Yun-Hee J Neuroeng Rehabil Research BACKGROUND: A robotic exoskeleton device is an intelligent system designed to improve gait performance and quality of life for the wearer. Robotic technology has developed rapidly in recent years, and several robot-assisted gait devices were developed to enhance gait function and activities of daily living in elderly adults and patients with gait disorders. In this study, we investigated the effects of the Gait-enhancing Mechatronic System (GEMS), a new wearable robotic hip-assist device developed by Samsung Electronics Co, Ltd., Korea, on gait performance and foot pressure distribution in elderly adults. METHODS: Thirty elderly adults who had no neurological or musculoskeletal abnormalities affecting gait participated in this study. A three-dimensional (3D) motion capture system, surface electromyography and the F-Scan system were used to collect data on spatiotemporal gait parameters, muscle activity and foot pressure distribution under three conditions: free gait without robot assistance (FG), robot-assisted gait with zero torque (RAG-Z) and robot-assisted gait (RAG). RESULTS: We found increased gait speed, cadence, stride length and single support time in the RAG condition. Reduced rectus femoris and medial gastrocnemius muscle activity throughout the terminal stance phase and reduced effort of the medial gastrocnemius muscle throughout the pre-swing phase were also observed in the RAG condition. In addition, walking with the assistance of GEMS resulted in a significant increase in foot pressure distribution, specifically in maximum force and peak pressure of the total foot, medial masks, anterior masks and posterior masks. CONCLUSION: The results of the present study reveal that GEMS may present an alternative way of restoring age-related changes in gait such as gait instability with muscle weakness, reduced step force and lower foot pressure in elderly adults. In addition, GEMS improved gait performance by improving push-off power and walking speed and reducing muscle activity in the lower extremities. TRIAL REGISTRATION: NCT02843828. BioMed Central 2017-11-28 /pmc/articles/PMC5706419/ /pubmed/29183379 http://dx.doi.org/10.1186/s12984-017-0333-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lee, Su-Hyun
Lee, Hwang-Jae
Chang, Won Hyuk
Choi, Byung-Ok
Lee, Jusuk
Kim, Jeonghun
Ryu, Gyu-Ha
Kim, Yun-Hee
Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
title Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
title_full Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
title_fullStr Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
title_full_unstemmed Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
title_short Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
title_sort gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706419/
https://www.ncbi.nlm.nih.gov/pubmed/29183379
http://dx.doi.org/10.1186/s12984-017-0333-z
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