结合小波变换的独立元心电信号增强

ECG Enhancement of Combining Wavelet Transform and Independent Component Analysis

论文应用小波变换的Mallat算法从一路带噪心电信号构造了另两路观察信号,从而满足独立元分析要求的观测信号向量维数不小于独立信号向量维数的条件;在此基础上,采用FastICA算法对三路心电信号进行独立元分解,分离效果理想。

Independent Component Analysis requires that the number of observations should be no less than that of independent sources.In order to satisfy the assumption,in this paper,the Mallat algorithm in wavelet transform is applied to generate two other channels from one single channel noisy ECG signal.The experiment result shows that the performance of FastICA algorithm on the three channel noisy ECG signals is satisfactory.