Detection of gait abnormality through leg symmetry and temporal parameters

2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) Pub Date : 2017-12-01 DOI:10.1109/HNICEM.2017.8269519

Chester Rei E. Duhaylungsod, Czarina Eloise B. Magbitang, Jan Faith Isaac R. Mercado, George Elison D. Osido, Shannen Andrea C. Pecho, Angelo R. dela Cruz

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引用次数: 12

Abstract

This paper proposes a method for detecting gait abnormality through the correlation between the thighs and shanks of the left and right leg of the subjects and the comparison of temporal parameters by using MetaMotionR — an Inertial Measurement Unit (IMU) sensor from Mbientlab. Temporal gait parameters which can be derived in this study are double limb support time, gait cycle time or stride time, stance time, swing time, and step time. Using the method proposed, the results of the correlation of the thigh and shank of both left and right leg shows a value which is close to 1 which indicates that symmetry between both legs. On an average of 31.93% difference among all temporal parameters, the normal gait and the abnormal gait can be compared and shows that the temporal parameters for the gait with abnormality has a larger value due to the knee injury.

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通过腿部对称性和时间参数检测步态异常

本文提出了一种利用Mbientlab的惯性测量单元(IMU)传感器MetaMotionR，通过受试者左右腿的大腿和小腿之间的相关性以及时间参数的比较来检测步态异常的方法。本研究可导出的时间步态参数包括双肢支撑时间、步态周期时间或步幅时间、站立时间、摆动时间和步幅时间。利用所提出的方法，左腿和右腿的大腿和小腿的相关值接近于1，表明两条腿之间是对称的。正常步态与异常步态的时间参数平均差值为31.93%，说明由于膝关节损伤导致异常步态的时间参数值较大。

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2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

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