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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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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 |
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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 |
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