Design of complex data acquisition system for kinetics, kinematics, and kinesiological gait analysis

N. Z. D. L. Mulyawati, A. Arifin, F. Arrofiqi, M. Nuh
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Abstract

Gait is one of biometrie information and defined as pattern movement of lower limb. Clinical gait analysis is important for treatment, diagnosis, and reference for therapy. This paper presents kinematics, kinetics analysis, and kinesiological of muscle signal using complex data acquisitions from normal subject. Gait data were taken using 4 instruments, Optotrak certus 3020, Vernier Force Plate, 8 channels self-design LE EMG, and Wearable sensor that consist of accelerometers, gyroscopes, and Force Sensitive Resistor (FSRs). The results of FSR (kinetics), wearable sensors (kinematics), LE-EMG (kinesiology), Optotrak Certus 3020 (kinematics) were integrated together so different results can be seen from the data. The data of LE hardware and LE software from muscle signal were compared. The analysis result of Force Plate was obtaining kinetics analysis, Fmax, Fmin, FTO, and FHO. This study was able to take gait data using 4 instruments simultaneously and kinetics, kinematics, and kinesiological gait analysis was succeed to made. This study presented gait data from 5 subjects. Further, data can be reproduced to get more normal and abnormal gait data and used for rehabilitation purpose.
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设计用于动力学、运动学和运动学步态分析的复杂数据采集系统
步态是一种生物特征信息,被定义为下肢的模式运动。临床步态分析对治疗、诊断和治疗参考具有重要意义。本文介绍肌肉信号的运动学、动力学分析和运动学,使用从正常受试者获得的复杂数据。步态数据采集采用4种仪器:optotrack certus 3020、游标测力板、自主设计的8通道LE肌电图和由加速度计、陀螺仪和力敏电阻(fsr)组成的可穿戴式传感器。FSR(动力学)、可穿戴传感器(运动学)、LE-EMG(运动学)、Optotrak Certus 3020(运动学)的结果被整合在一起,因此可以从数据中看到不同的结果。比较了肌肉信号的LE硬件数据和LE软件数据。力板分析结果为动力学分析、Fmax、Fmin、FTO、FHO。本研究能够同时使用4种仪器采集步态数据,并成功进行了动力学、运动学和运动学步态分析。本研究提供了5名受试者的步态数据。此外,数据可以复制,以获得更多的正常和异常的步态数据,用于康复目的。
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