Robust decoding of hand movement for mitigating muscle contraction variability from surface EMG signals
Objective. The widespread application of surface electromyography (sEMG) pattern recognition in artificial limbs largely relies on a robust decoding system that continuously and accurately identifies user hand movement intention. However, the muscle contraction variability significantly distorts the time-frequency comp...