多采样率线性小波变换及其对心电信号的应用

APPLICATION OF MULTIRATE SAMPLING AND LINEAR WAVELET TRANSFORM TO ECG SIGNALS

Ｃｏｈｎｅ类变换使在时频两域同时分析信号成为可能。其中，小波变换相比维格纳分布没有交叉项干扰，更具有优越性。因此本文讨论了多采样率线性小波变换及其特性，并将它和其它变换作了比较，最后将它应用于心电信号的高频成分分析。

Analyzing the electrocardiographic(ECG) signals with computer is widelyadopted to this day,including temporal domain and frequency domain analysis. As a biomedi-cal signal,ECG signal is not stationary,so we shouldn’t study it separately in temopral andfrequency domain. The main transforms of Cohen’s class allow signal representation simulta-neously in time and frequency domain,Among them,wavelet transform has better resolutioncomparing to short-time Fourier transfoim(SFT)and has not the cross-terms comparing tothe Wigner-Ville distribution.It has better properties in time-frequency domain. This paperbriefly introduces the relationship of wavelet transform and Wigner-Ville distrbution,thenproposes a linear wavelet transform in time-frequency domain,In has multiple sampling rateto reduce information redundancy and improve the rapidity of con1putation .At last,we ap-plied it to the analysis of ECG signals and got some important results.