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

机译:基于MAV方法的肱二头肌力量估计在辅助技术中的应用

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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.
机译:本文介绍了肱二头肌上单通道表面肌电图(sEMG)的信号处理及其在辅助技术上的替代应用。平均绝对值(MAV)方法用于估计与sEMG电压幅度相关的肌肉力量的平均值。结果,该估计值将虚拟世界中的控制框作为生物反馈分为三个类别:静止状态,无负载的抬起臂和有负载的抬起臂。从这一点出发,可以通过使用特定范围内的sEMG电压幅度来估算肱二头肌的力量值。

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