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Parametric Description of Spectral Density of ECG

Gopinath, R and Murthy, ISN and Prasad, GSSD (1990) Parametric Description of Spectral Density of ECG. In: Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990, 1-4 November, Pennsylvania,USA, VOl.12, 805-806.

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Abstract

A parametric description of the spectral density of the ECG signal using it Discrete Cosine Transform is proposed. This transformation enables modeling of the ECG efficiently using lower order polynomials. The Steiglitz-McBride, Shanks and the Maxim Likelihood Estimator algorithms are used for modeling. Certain parameters obtained from the spectrum are used to determine an estimate of the autocorrelation function that takes the form of a sum of exponentials and damped sinusoids. Several normal and abnormal ECGs have been analyzed with highly satisfactory results. An abnormal beat required more parameters for its description than a normal.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 30 May 2006
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ernet.in/id/eprint/7027

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