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Biorthogonal wavelet transforms for ECG parameters estimation

โœ Scribed by N. Sivannarayana; D.C. Reddy

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
174 KB
Volume
21
Category
Article
ISSN
1350-4533

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โœฆ Synopsis

The parameters of various morphologies of ECG waveform are basic in characterizing them as normal or otherwise. The use of multiscale analysis, through biorthogonal wavelets presented in this paper, appears very promising for such a characterization. This is on account of the fact that various morphologies 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 when the signal-to-noise ratios are poor, the proposed technique can be used to accurately estimate the said parameters.

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