Biorthogonal wavelet transforms for ECG parameters estimation

The parameters of various morphologies of ECG waveform are basic in charact erizing them as normal or otherwise. The use of multiscale analysis, throug h biorthogonal wavelets presented in this paper, appears very promising for such a characterization. This is on account of the fact that various morph ologies are excited better at different scales. From these different scales , amplitudes, durations and various segments, widths can be determined more accurately. Simulation studies, with real ECG data, have shown that even w hen the signal-to-noise ratios are poor, the proposed technique can be used to accurately estimate the said parameters. (C) 1999 IPEM. Published by El sevier Science Ltd. All rights reserved.