使用基于树莓派的定制仪器进行手臂和手部运动的肌电和脑电图测量

Abdelakram Hafid, S. Benouar, Hachemi Cherrih, Benayad Ali, M. Talha
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引用次数: 1

摘要

记录和处理生理信号是科学界的需求之一。肌电图(EMG)和肌电阻抗图(EIMG)都是测量和评估肌肉状况和活动的非侵入性方法。Z-RPI设备是一种定制的测量设备,主要用于ECG和ICG记录。本文介绍了利用Z-RPI装置获取肱二头肌和前臂肌肉收缩的表肌电信号和EIMG信号的可行性。所得结果是可以接受的,令人鼓舞的,并与文献结果趋于一致。因此,它表明Z-RPI设备可以用于相对多种生物医学应用,而不是ECG和ICG测量。在研究和工程教育方面支持开发人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EMG & EIMG measurement for Arm & Hand motions using custom made instrumentation based on Raspberry PI
Recording and processing physiological signal that give intrinsic characteristics information is one of scientific community needs. Electromyography (EMG) and Electrical Impedance Myography (EIMG) are both non-invasive approaches to measure and evaluate the muscle conditions and activity. Z-RPI device is a custom-made measurement device developed basically for ECG and ICG records. This paper presents the feasibility of acquiring surface EMG and EIMG signal of biceps and forearm muscle contractions using the Z-RPI device. The results obtained are acceptable, encouraging and converge to literature result. Thus, it shows that the Z-RPI device can be used for relatively several biomedical applications other than the ECG and ICG measurement. For supporting developers in research and engineering education.
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