FastICA Algorithm and Pumping Process for Denoising ECG from sEMG
Yang Wei-na · 2008
Surface electromyogram (sEMG) usually incurs severe influence of strong electrocardiography (ECG) signal. This paper presents a novel denoise method using FastICA and Pumping Process to remove the interference of ECG from sEMG, which can be well used for the separation of EMG and ECG. The simulation results imply that the method is effective, which can eliminate blind uncertainty of ICA estimation on orders.