基于抽气过程的FastICA算法去除肌电信号中的心电干扰

提取受试者的体表肌电受其自身心电信号的干扰严重,本文利用一种基于FastICA算法的改进盲抽取方法去除体表肌电中的心电干扰,并有序的输出分离后的心电和肌电分量。对仿真信号处理结果表明,运用该方法避免了独立分量(ICA)方法中固有的位置不确定性,并能够成功的分离源信号。

FastICA Algorithm and Pumping Process for Denoising ECG from sEMG

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.