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Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection

Gait analysis is an important assessment tool for analyzing vital signals collected from individuals and for providing physical information of the human body, and it is emerging in a diverse range of application scenarios, such as disease diagnosis, fall prevention, rehabilitation, and human–robot i...

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Autores principales: Heng, Wenzheng, Pang, Gaoyang, Xu, Feihong, Huang, Xiaoyan, Pang, Zhibo, Yang, Geng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928953/
https://www.ncbi.nlm.nih.gov/pubmed/31783618
http://dx.doi.org/10.3390/s19235197
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author Heng, Wenzheng
Pang, Gaoyang
Xu, Feihong
Huang, Xiaoyan
Pang, Zhibo
Yang, Geng
author_facet Heng, Wenzheng
Pang, Gaoyang
Xu, Feihong
Huang, Xiaoyan
Pang, Zhibo
Yang, Geng
author_sort Heng, Wenzheng
collection PubMed
description Gait analysis is an important assessment tool for analyzing vital signals collected from individuals and for providing physical information of the human body, and it is emerging in a diverse range of application scenarios, such as disease diagnosis, fall prevention, rehabilitation, and human–robot interaction. Herein, a kind of surface processed conductive rubber was designed and investigated to develop a pressure-sensitive insole to monitor planar pressure in a real-time manner. Due to a novel surface processing method, the pressure sensor was characterized by stable contact resistance, simple manufacturing, and high mechanical durability. In the experiments, it was demonstrated that the developed pressure sensors were easily assembled with the inkjet-printed electrodes and a flexible substrate as a pressure-sensitive insole while maintaining good sensing performance. Moreover, resistive signals were wirelessly transmitted to computers in real time. By analyzing sampled resistive data combined with the gait information monitored by a visual-based reference system based on machine learning method (k-Nearest Neighbor algorithm), the corresponding relationship between plantar pressure distribution and lower limb joint angles was obtained. Finally, the experimental validation of the ability to accurately divide gait into several phases was conducted, illustrating the potential application of the developed device in healthcare and robotics.
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spelling pubmed-69289532019-12-26 Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection Heng, Wenzheng Pang, Gaoyang Xu, Feihong Huang, Xiaoyan Pang, Zhibo Yang, Geng Sensors (Basel) Article Gait analysis is an important assessment tool for analyzing vital signals collected from individuals and for providing physical information of the human body, and it is emerging in a diverse range of application scenarios, such as disease diagnosis, fall prevention, rehabilitation, and human–robot interaction. Herein, a kind of surface processed conductive rubber was designed and investigated to develop a pressure-sensitive insole to monitor planar pressure in a real-time manner. Due to a novel surface processing method, the pressure sensor was characterized by stable contact resistance, simple manufacturing, and high mechanical durability. In the experiments, it was demonstrated that the developed pressure sensors were easily assembled with the inkjet-printed electrodes and a flexible substrate as a pressure-sensitive insole while maintaining good sensing performance. Moreover, resistive signals were wirelessly transmitted to computers in real time. By analyzing sampled resistive data combined with the gait information monitored by a visual-based reference system based on machine learning method (k-Nearest Neighbor algorithm), the corresponding relationship between plantar pressure distribution and lower limb joint angles was obtained. Finally, the experimental validation of the ability to accurately divide gait into several phases was conducted, illustrating the potential application of the developed device in healthcare and robotics. MDPI 2019-11-27 /pmc/articles/PMC6928953/ /pubmed/31783618 http://dx.doi.org/10.3390/s19235197 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Heng, Wenzheng
Pang, Gaoyang
Xu, Feihong
Huang, Xiaoyan
Pang, Zhibo
Yang, Geng
Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection
title Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection
title_full Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection
title_fullStr Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection
title_full_unstemmed Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection
title_short Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection
title_sort flexible insole sensors with stably connected electrodes for gait phase detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928953/
https://www.ncbi.nlm.nih.gov/pubmed/31783618
http://dx.doi.org/10.3390/s19235197
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