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Recent Advances in EMG Pattern Recognition for Prosthetic Control

机译:假体控制的肌电图模式识别的最新进展

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摘要

Limb loss results in significant debilitation and reduces the quality of life of the affected individuals [ ]. To restore the lost limb’s function, myoelectric systems have been widely used in powered prostheses [ ]. With this approach, the motor intent is estimated from the electromyogram (EMG) signals recorded by electrodes which are placed on the skin surface above the residual muscles [ ]. The principle of commercial myoelectric schemes has not changed in several decades, and is referred to as conventional control [ ]. This technique uses a measure of amplitude (such as mean absolute value over a time window) of the EMG signals recorded by electrodes placed at two control sites, preferably over a pair of antagonist muscles of the residual limb, to control a single motion i.e. degree of freedom (DoF), for example hand opening closing [ ]. To change the DoF, a mode switch is conducted by muscle co-contraction or a hardware switch [ ]. The mode switch, however, results in an unnatural control of multiple DoFs [ ].
机译:肢体丧失导致严重的虚弱,并降低了受影响个体的生活质量[]。为了恢复失去的肢体功能,肌电系统已广泛用于动力假体[]。使用这种方法,可以根据放置在残留肌肉上方皮肤表面上的电极记录的肌电图(EMG)信号估算运动意图[]。商业肌电方案的原理几十年来没有改变,被称为常规控制[]。该技术使用由放置在两个控制位置(最好在残留肢体的一对拮抗肌肉上)的电极记录的EMG信号的幅度测量值(例如,一个时间窗口内的平均绝对值)来控制单个运动,即程度自由度(DoF),例如手张开[]。要更改自由度,可以通过肌肉收缩或硬件开关[]。但是,模式切换会导致对多个DoF的自然控制[]。

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