Patent ID: 11971319
Assignee: XI'AN JIAOTONG UNIVERSITY
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 6:
7. The surface electromyography signal-torque matching method based on multi-segmentation parallel CNN model according to claim 5, characterized in that, preprocessing the sEMG signals from all the channels comprising following steps: passing the sEMG signals sequentially through a 50 Hz low-pass notch filter and a 30 Hz zero-phase-shift high-pass filter, inverting negative values in the sEMG signals and passing through a 5 Hz zero-phase-shift low-pass filter for filtering to stimulate low-pass filter characteristics of muscles; wherein, the 50 Hz low-pass notch filter is to eliminate interference from local frequencies to the sEMG signals and the 30 Hz zero-phase-shift high-pass filter is to clear motion artifacts in collected sEMG signals.