Multichannel Selective Linear Prediction Spectrum Analysis for Detection of Cardiac Late potentials

摘要

In this paper we propose a new technique for the frequency analysis of the signal averaged Electrocardiogram (SAECG), based on a parametric model. A part of the spectrum of interest is Characterised by a selective linear prediction (SLP) model. A multichannel extension to the SLP method is proposed to analyze all the three orthogonal lead data at one stroke. Consideration of three channel SAECC as a vector process results in matrix predictor coefficients and spectral ratrix containing auto and cross spectra of individual channels. Vector sum of the area under the model auto spectra is used in the detection of Late Ventricular potentials. In addition, the coherence function represents the amount of correlation between channels over the frequency of interest.