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Homomorphic Analysis and Modeling of ECG Signals

Murthy, Ivaturi SN and Rangaraj, Mandayam R and Udupa, Jayaram K and Goyal, AK (1979) Homomorphic Analysis and Modeling of ECG Signals. In: IEEE Transactions on Biomedical Engineering, 26 (6). pp. 330-334.

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Abstract

Homomorphic analysis and pole-zero modeling of electrocardiogram (ECG) signals are presented in this paper. Four typical ECG signals are considered and deconvolved into their minimum and maximum phase components through cepstral filtering, with a view to study the possibility of more efficient feature selection from the component signals for diagnostic purposes. The complex cepstra of the signals are linearly filtered to extract the basic wavelet and the excitation function. The ECG signals are, in general, mixed phase and hence, exponential weighting is done to aid deconvolution of the signals. The basic wavelet for normal ECG approximates the action potential of the muscle fiber of the heart and the excitation function corresponds to the excitation pattern of the heart muscles during a cardiac cycle. The ECG signals and their components are pole-zero modeled and the pole-zero pattern of the models can give a clue to classify the normal and abnormal signals. Besides, storing only the parameters of the model can result in a data reduction of more than 3:1 for normal signals sampled at a moderate 128 samples/s

Item Type: Journal Article
Additional Information: Copyright 1979 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: 22 Dec 2010 11:42
Last Modified: 22 Dec 2010 11:42
URI: http://eprints.iisc.ernet.in/id/eprint/34398

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