Bicep brachii's force estimation using MAV method on assistive technology application

R. Darmakusuma, A. Prihatmanto, A. Indrayanto, T. Mengko
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引用次数: 4

Abstract

This paper presents signal processing of single channel surface electromyography (sEMG) on bicep brachii and its alternative application on assistive technology. Mean Absolute Value (MAV) method is used to estimate the average of muscle's force which correlates with its sEMG voltage amplitude. As a result, this estimating value controls box in virtual world as biofeedback in three classes; rest condition, lifted arm without load, and lifted arm with load. From this point, bicep brachii's force value can be estimated by using its sEMG voltage amplitude in particular range.
基于MAV方法的肱二头肌力估计在辅助技术中的应用
本文介绍了肱二头肌单通道肌电图的信号处理及其在辅助技术中的替代应用。采用平均绝对值(MAV)法估计肌电信号电压幅值与肌力的平均值。因此,这个估计值控制框在虚拟世界中的生物反馈分为三类;休息状态,无负荷抬臂,有负荷抬臂。从这一点上,可以利用其在特定范围内的表面肌电信号电压幅值来估计肱二头肌的力值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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