Cargando…

Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network

BACKGROUND: Most hemiplegic patients have difficulties in their balance and posture control while walking because of the asymmetrical posture and the abnormal body balance. The assessment of rehabilitation of hemiplegic gait is usually made by doctors using clinical scale, but it is difficult and co...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Yanwei, Zhao, Guoru, Liu, Qianqian, Mei, Zhanyong, Ivanov, Kamen, Wang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766026/
https://www.ncbi.nlm.nih.gov/pubmed/23988116
http://dx.doi.org/10.1186/1475-925X-12-83
_version_ 1782283447091331072
author Guo, Yanwei
Zhao, Guoru
Liu, Qianqian
Mei, Zhanyong
Ivanov, Kamen
Wang, Lei
author_facet Guo, Yanwei
Zhao, Guoru
Liu, Qianqian
Mei, Zhanyong
Ivanov, Kamen
Wang, Lei
author_sort Guo, Yanwei
collection PubMed
description BACKGROUND: Most hemiplegic patients have difficulties in their balance and posture control while walking because of the asymmetrical posture and the abnormal body balance. The assessment of rehabilitation of hemiplegic gait is usually made by doctors using clinical scale, but it is difficult and could not be used frequently. It is therefore needed to quantitatively analyze the characteristics of hemiplegic gait. Thus the assessment would be simple, and real-time evaluation of rehabilitation could be carried out. METHODS: Twenty subjects (ten hemiplegic patients, ten normal subjects) were recruited. The subjects walked straight for five meters at their self-selected comfortable speed towards a target line on the floor. Xsens MTx motion trackers were used for acquiring gestures of body segments to estimate knee joint angles and identify gait cycles. A practical method for data acquisition that does not need to obtain accurate distances between a knee joint and its corresponding sensors is presented. RESULTS: The results showed that there were significant differences between the two groups in the three nominated angle amplitudes. The mean values of balance level of each parameter in hemiplegic gait and normal gait were: 0.21 versus 0.01, 0.18 versus 0.03, and 0.92 versus 0.03, respectively. The mean values of added angles of each parameter in hemiplegic gait and normal gait were: 74.64 versus 91.31, -76.48 versus −132.4, and 6.77 versus 35.74. CONCLUSIONS: It was concluded that the wearable bio-motion acquisition platform provided a practical approach that was effective in discriminating gait symptoms between hemiplegic and asymptomatic subjects. The extensibility of hemiplegic patients’ lower limbs was significantly lower than that of normal subjects, and the hemiplegic gait had worse balance level compared with normal gait. The effect of rehabilitation training of hemiplegic gait could be quantitatively analyzed.
format Online
Article
Text
id pubmed-3766026
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-37660262013-09-12 Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network Guo, Yanwei Zhao, Guoru Liu, Qianqian Mei, Zhanyong Ivanov, Kamen Wang, Lei Biomed Eng Online Research BACKGROUND: Most hemiplegic patients have difficulties in their balance and posture control while walking because of the asymmetrical posture and the abnormal body balance. The assessment of rehabilitation of hemiplegic gait is usually made by doctors using clinical scale, but it is difficult and could not be used frequently. It is therefore needed to quantitatively analyze the characteristics of hemiplegic gait. Thus the assessment would be simple, and real-time evaluation of rehabilitation could be carried out. METHODS: Twenty subjects (ten hemiplegic patients, ten normal subjects) were recruited. The subjects walked straight for five meters at their self-selected comfortable speed towards a target line on the floor. Xsens MTx motion trackers were used for acquiring gestures of body segments to estimate knee joint angles and identify gait cycles. A practical method for data acquisition that does not need to obtain accurate distances between a knee joint and its corresponding sensors is presented. RESULTS: The results showed that there were significant differences between the two groups in the three nominated angle amplitudes. The mean values of balance level of each parameter in hemiplegic gait and normal gait were: 0.21 versus 0.01, 0.18 versus 0.03, and 0.92 versus 0.03, respectively. The mean values of added angles of each parameter in hemiplegic gait and normal gait were: 74.64 versus 91.31, -76.48 versus −132.4, and 6.77 versus 35.74. CONCLUSIONS: It was concluded that the wearable bio-motion acquisition platform provided a practical approach that was effective in discriminating gait symptoms between hemiplegic and asymptomatic subjects. The extensibility of hemiplegic patients’ lower limbs was significantly lower than that of normal subjects, and the hemiplegic gait had worse balance level compared with normal gait. The effect of rehabilitation training of hemiplegic gait could be quantitatively analyzed. BioMed Central 2013-08-29 /pmc/articles/PMC3766026/ /pubmed/23988116 http://dx.doi.org/10.1186/1475-925X-12-83 Text en Copyright © 2013 Guo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Guo, Yanwei
Zhao, Guoru
Liu, Qianqian
Mei, Zhanyong
Ivanov, Kamen
Wang, Lei
Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network
title Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network
title_full Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network
title_fullStr Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network
title_full_unstemmed Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network
title_short Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network
title_sort balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766026/
https://www.ncbi.nlm.nih.gov/pubmed/23988116
http://dx.doi.org/10.1186/1475-925X-12-83
work_keys_str_mv AT guoyanwei balanceandkneeextensibilityevaluationofhemiplegicgaitusinganinertialbodysensornetwork
AT zhaoguoru balanceandkneeextensibilityevaluationofhemiplegicgaitusinganinertialbodysensornetwork
AT liuqianqian balanceandkneeextensibilityevaluationofhemiplegicgaitusinganinertialbodysensornetwork
AT meizhanyong balanceandkneeextensibilityevaluationofhemiplegicgaitusinganinertialbodysensornetwork
AT ivanovkamen balanceandkneeextensibilityevaluationofhemiplegicgaitusinganinertialbodysensornetwork
AT wanglei balanceandkneeextensibilityevaluationofhemiplegicgaitusinganinertialbodysensornetwork