ECG signal adaptive filtering and QRS complex detecting method

Waveforms and parameters in each segment of ECG signals reflect the activity state of the heart. The purpose of analyzing ECG signal is parameter extraction and waveform recognition, but power interference and base line drift seriously affect the accuracy of detecting ECG signal QRS waveform. On the basis of building an adaptive noise cancellation system for suppressing power interference and base line drift from ECG signal, this paper puts forward R wave detecting algorithm based on coif5 wavelet, adopts difference smoothing method to realize Q wave and S wave detecting and positioning. The experiment results show that the adaptive filter and QRS complex detecting algorithms presented in this paper suppress power interference and base line drift effectively, reach the aim of ECG signal QRS waveform detection and accurate positioning and have an important practical value in medical clinical diagnosis.