Prediction of Dexterous Finger Forces With Forearm Rotation Using Motoneuron Discharges
Bofang Zheng,
Yixin Li,
Guanghua Xu
et al.
Abstract:Motor unit (MU) discharge information obtained via electromyogram (EMG) decomposition can be used to decode dexterous multi-finger movement intention for neural-machine interfaces (NMI). However, the variation of the motor unit action potential (MUAP) shape resulted from forearm rotation leads to the decreased performance of EMG decomposition, especially under the real-time condition and then the degradation of motion decoding accuracy. The object of this study was to develop a method to realize the accurate e… Show more
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