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Fingertip force estimation from forearm muscle electrical activity

机译:根据前臂肌肉电活动估算指尖力

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Existing commercial hand prostheses can be controlled from the electrical activity (electromyogram or EMG) of remnant muscle tissue within the forearm, but are limited in function to one degree of freedom of proportional control. In a pilot study (N=3 subjects), we used least squares estimation to identify a model between forearm electrical activity recorded by high-resolution (64 channel) electrode arrays (applied over the flexor and, separately, extensor muscles of the forearm) to force in the four fingertips. Average errors ranged from 4.21 to 10.20 %MVCF (flexion maximum voluntary contraction), depending on the muscle contraction task performed, number of EMG electrodes in the model and the electrode montage selected. Results suggest that, at least for intact subjects, 2–4 degrees of freedom of proportional control are available from the EMG signals of the forearm.
机译:现有的商用假肢可以通过前臂内残留肌肉组织的电活动(肌电图或EMG)进行控制,但功能仅限于比例控制的一个自由度。在一项前瞻性研究(N = 3个受试者)中,我们使用最小二乘估计来确定由高分辨率(64通道)电极阵列(分别施加在前臂屈肌和伸肌上)记录的前臂电活动之间的模型。迫使四个指尖。平均误差范围为4.21至10.20%MVCF(屈曲最大自动收缩),具体取决于执行的肌肉收缩任务,模型中EMG电极的数量和选择的电极蒙太奇。结果表明,至少对于完整的受试者,前臂的EMG信号可提供2-4个比例控制的自由度。

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