Technologies for Pattern Recognition of Late Potentials atria: classification approaches
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Abstract
In this paper the problem of atrial late potentials (ALP) recognition is solved by the formation of their signs in the basis of eigenvectors. Covariance matrix is formed for an ensemble of wavelet detail coefficients obtained by multi-level wavelet decomposition of electrocardiosignals (ECS). The results of cluster analysis in a model experiment on the classification of ECS with and without ALP on the background noise are presented.
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