Research of De-noising Method for EMGdi Signal Based on Independent  Component Analysis and Wavelet Transformation

A de-noising method based on independent component analysis and wavelet transformation is proposed in this paper to remove ECG interference. Firstly, the independent components of ECG are gotten by employing ICA to EMGdi signals. Select a suitable high-pass filter to remove the ECG components, and the approximate weight of other EMGdi components are removed after wavelet decomposition at the fifth scale, on the other hand, the details are reconstructed. Finally, reflect these processed independent components back to the original signal space. Experiment on collected 5 channel clinical EMGdi signal is presented. Comparing the results with the traditional ICA method, it shows that the method proposed is better than the traditional ICA method in removing ECG interference.