Method for identifying surface electromyography (sEMG) on basis of empirical mode decomposition (EMD) sample entropy
A technology of myoelectric signal and recognition method, applied in the field of pattern recognition, which can solve the problems of real-time control of myoelectric prosthetic hand and weak anti-noise ability
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[0056] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation modes and specific operation procedures are given.
[0057] Such as figure 1 As shown, this embodiment includes the following steps:
[0058] Step one is to obtain the sample data of the human upper limb EMG signal, specifically: first pick up the human upper limb EMG signal through the EMG signal acquisition instrument, and then use the energy threshold to determine the action signal of the EMG signal.
[0059] (1) Collect the EMG signal of the human upper limbs. The subjects performed 80 sets of four hand and forearm movements, namely, wrist upturn, wrist down, fist extension, and fist making. A total of 320 sets of data were performed. The upper extensor carpi ulnaris and flexor carpi ulnaris were selected as the surface EMG signal ...
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