Wavelet-based detection of transients in biological signals

Tahsin Mzaik; Jogikal M. Jagadeesh

doi:10.1117/12.188814

11 October 1994 Wavelet-based detection of transients in biological signals

Tahsin Mzaik, Jogikal M. Jagadeesh

Proceedings Volume 2303, Wavelet Applications in Signal and Image Processing II; (1994) https://doi.org/10.1117/12.188814
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

This paper presents two multiresolution algorithms for detection and separation of mixed signals using the wavelet transform. The first algorithm allows one to design a mother wavelet and its associated wavelet grid that guarantees the separation of signal components if information about the expected minimum signal time and frequency separation of the individual components is known. The second algorithm expands this idea to design two mother wavelets which are then combined to achieve the required separation otherwise impossible with a single wavelet. Potential applications include many biological signals such as ECG, EKG, and retinal signals.

Citation Download Citation

Tahsin Mzaik and Jogikal M. Jagadeesh "Wavelet-based detection of transients in biological signals", Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); https://doi.org/10.1117/12.188814

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