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A new parametric frequency-wavenumber spectrum estimation algorithm and its application to the analysis of 3-dimensional epicardial ECG signals.

M R Raghuveer·C L Nikias·J H Siegel
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Abstract

This paper presents a 3-dimensional (3-D) frequency-wavenumber spectrum estimation (FWSE) approach to the analysis of ECG signals. This approach treats the data as 'wavefronts plus noise' and provides a means of estimating key parameters associated with propagating wavefronts. A high resolution technique based on minimum variance representations of 3-D data fields (3-D CLS technique) is employed to obtain the FWSE. Computer simulation results that demonstrate the high resolution property of the technique when compared with the maximum-likelihood method of Capon are presented. Results of application of the technique to epicardial ECG data collected from a sensor array are also presented and discussed.

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AnimalsArrhythmias, CardiacBiometryComputersCoronary DiseaseDogsElectrocardiographySoftwareJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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M R Raghuveer, C L Nikias, J H Siegel. 1985. A new parametric frequency-wavenumber spectrum estimation algorithm and its application to the analysis of 3-dimensional epicardial ECG signals.. https://doi.org/10.1016/0169-2607(85)90029-x

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