An Improved Algorithm Based on EMD-Wavelet for ECG Signal De-noising
Nianqiang Li, Ping Li · 2009
In this paper we present an improved algorithm based on EMD-Wavelet for ECG(electrocardiogram) signal de-noising. This method has the advantages of both EMD (empirical mode decomposition) and wavelet adaptive thresholding algorithm for the actual gathering ECG signal de-noising. It utilizes the adaptability of EMD to make up the indetermination when choosing wavelet function, and then uses wavelet adaptive thresholding to prevent the distortion of EMD algorithm. We take MATLAB as simulation platform to compare the three algorithms from simulation figure, SNR and MSE. The results show that this improved EMD-Wavelet algorithm is efficient and stable in ECG signal de-noising.