Abstract: Compared with the traditional frequency domain based on the signal decomposition method,this paper proposed a adaptive signal decomposition method based on the quality factor.Using the Q-tunable wavelet transform to adaptive generate wavelet functions with different quality factor as basis functions of signal decomposition,we decomposed the compound signal into the high resonance component with sustained oscillation properties and low resonant component with transient impact properties with Mallat algorithm and used it to extract the ecg signal characteristic.This method can remove the noise and interference of the signal effectively and separate the spectrum aliasing and different oscillation signals compared with wavelet analysis and empirical mode decomposition method and so on.The results prove the superiority of the algorithm by numerical simulation and example analysis.

Key words: ECG signal,Q wavelet transform,Quality factor