A gait stability evaluation method based on wearable acceleration sensors

In this study, an accurate tool is provided for the evaluation of the effect of joint motion effect on gait stability. This quantitative gait evaluation method relies exclusively on the analysis of data acquired using acceleration sensors. First, the acceleration signal of lower limb motion is colle...

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Main Authors: Xuecheng Weng, Chang Mei, Farong Gao, Xudong Wu, Qizhong Zhang, Guangyu Liu
Format: Article
Language:English
Published: AIMS Press 2023-11-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023886?viewType=HTML
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author Xuecheng Weng
Chang Mei
Farong Gao
Xudong Wu
Qizhong Zhang
Guangyu Liu
author_facet Xuecheng Weng
Chang Mei
Farong Gao
Xudong Wu
Qizhong Zhang
Guangyu Liu
author_sort Xuecheng Weng
collection DOAJ
description In this study, an accurate tool is provided for the evaluation of the effect of joint motion effect on gait stability. This quantitative gait evaluation method relies exclusively on the analysis of data acquired using acceleration sensors. First, the acceleration signal of lower limb motion is collected dynamically in real-time through the acceleration sensor. Second, an algorithm based on improved dynamic time warping (DTW) is proposed and used to calculate the gait stability index of the lower limbs. Finally, the effects of different joint braces on gait stability are analyzed. The experimental results show that the joint brace at the ankle and the knee reduces the range of motions of both ankle and knee joints, and a certain impact is exerted on the gait stability. In comparison to the ankle joint brace, the knee joint brace inflicts increased disturbance on the gait stability. Compared to the joint motion of the braced side, which showed a large deviation, the joint motion of the unbraced side was more similar to that of the normal walking process. In this paper, the quantitative evaluation algorithm based on DTW makes the results more intuitive and has potential application value in the evaluation of lower limb dysfunction, clinical training and rehabilitation.
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spelling doaj.art-58d5e71affc14c58a5dca9ee8cf9c1a42023-11-22T01:31:09ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-11-012011200022002410.3934/mbe.2023886A gait stability evaluation method based on wearable acceleration sensorsXuecheng Weng0Chang Mei1Farong Gao2Xudong Wu 3Qizhong Zhang4Guangyu Liu51. School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China1. School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China1. School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China2. Department of Orthopaedics, Zhoushan Hospital of Traditional Chinese Medicine, Zhoushan 316000, China1. School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China1. School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaIn this study, an accurate tool is provided for the evaluation of the effect of joint motion effect on gait stability. This quantitative gait evaluation method relies exclusively on the analysis of data acquired using acceleration sensors. First, the acceleration signal of lower limb motion is collected dynamically in real-time through the acceleration sensor. Second, an algorithm based on improved dynamic time warping (DTW) is proposed and used to calculate the gait stability index of the lower limbs. Finally, the effects of different joint braces on gait stability are analyzed. The experimental results show that the joint brace at the ankle and the knee reduces the range of motions of both ankle and knee joints, and a certain impact is exerted on the gait stability. In comparison to the ankle joint brace, the knee joint brace inflicts increased disturbance on the gait stability. Compared to the joint motion of the braced side, which showed a large deviation, the joint motion of the unbraced side was more similar to that of the normal walking process. In this paper, the quantitative evaluation algorithm based on DTW makes the results more intuitive and has potential application value in the evaluation of lower limb dysfunction, clinical training and rehabilitation.https://www.aimspress.com/article/doi/10.3934/mbe.2023886?viewType=HTMLgait assessmentacceleration sensorjoint activitystabilitydynamic time warping
spellingShingle Xuecheng Weng
Chang Mei
Farong Gao
Xudong Wu
Qizhong Zhang
Guangyu Liu
A gait stability evaluation method based on wearable acceleration sensors
Mathematical Biosciences and Engineering
gait assessment
acceleration sensor
joint activity
stability
dynamic time warping
title A gait stability evaluation method based on wearable acceleration sensors
title_full A gait stability evaluation method based on wearable acceleration sensors
title_fullStr A gait stability evaluation method based on wearable acceleration sensors
title_full_unstemmed A gait stability evaluation method based on wearable acceleration sensors
title_short A gait stability evaluation method based on wearable acceleration sensors
title_sort gait stability evaluation method based on wearable acceleration sensors
topic gait assessment
acceleration sensor
joint activity
stability
dynamic time warping
url https://www.aimspress.com/article/doi/10.3934/mbe.2023886?viewType=HTML
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AT xudongwu agaitstabilityevaluationmethodbasedonwearableaccelerationsensors
AT qizhongzhang agaitstabilityevaluationmethodbasedonwearableaccelerationsensors
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AT xuechengweng gaitstabilityevaluationmethodbasedonwearableaccelerationsensors
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