Application of wavelet transform in ECG signal processing and feature extraction

wavelet transform;  filtering;  feature extraction;  ECG signals

Firstly, the wavelet transform method is used to filter out various interferences in the ECG signal, including power frequency interference, myoelectric interference and baseline drift. Then, the continuous wavelet transform method based on haar is used to extract the R wave peak. Then, according to the needs of doctors’ clinical experience, a scheme for interactive extraction of ST segments is proposed. Finally, the ECG signal generated by the ECG signal generator is experimented, and the experimental results show that the accuracy of locating the R wave peak by continuous wavelet transform method can reach 99.84%, the positioning of ST segment feature points by interactive method is more accurate, and the wavelet transform method filtering has a good filtering effect on low-frequency fundamental drift, which can overcome the signal-noise band overlap.