Arrhythmic ECG Signals Extraction by Blind Source Separation

K. Pukėnas

Abstract


In this paper the blind source separation (BSS) algorithm based on the known nonorthogonal approximate joint diagonalization of several time-delayed covariance matrices and the time-varying lag calculation procedure based on the proposed two stage phase alloca-tion method is investigated by applying it to arrhythmic ECG signals with time-varying period mixed with white Gaussian noise or with chaotic Hénon map noise (at SNR=15 dB). Simulation results show that algorithm is able to extract arrhythmic ECG signals with time-varying period from noise by performing nonorthogonal approximate joint diagonalization of only two covariance matrices – one cova-riance matrix at zero lag and another – at a lag corresponding to the the variable period, which is calculated from phase signature from cycle-to-cycle of the ECG signal. Ill. 3, bibl. 11, tabl. 1 (in English; abstracts in English, Russian and Lithuanian).


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Print ISSN: 1392-1215
Online ISSN: 2029-5731