Adaptive Thresholding Algorithm for Noisy Electrocardiograms using Reverse Biorthogonal Mother Wavelets

Electrocardiography aids physicians to investigate the electrical activity of the heart. Fetal signals are difficult to record and usually affected by noise, making thus a clinical diagnosis difficult. A robust and easy to implement denoising algorithm has been proposed in the present paper. The method is based on adaptive wavelet thresholding, the best mother wavelet of the reverse biorthogonal family being searched. The results are competitive and the performance has been evaluated both graphically and with objective criteria.