Title :
Combined method for detection of atrial late potentials
Author :
Matveyeva, N.A. ; Ivanushkina, N.G. ; Ivanko, K.O.
Author_Institution :
Phys. & Biomed. Electron., Nat. Tech. Univ. of Ukraine “Kyiv Polytech. Inst.”, Kiev, Ukraine
Abstract :
The work is devoted to improvement of methods for noninvasive identification of low-amplitude components of electrocardiogram (ECG) - atrial late potentials (ALP) which are markers of potentially dangerous heart rhythm disorders. A combined method for ALP detection based on wavelet analysis, decomposition in the basis of eigenvectors and classification by neural network is proposed. As the result of the numerical experiment the dimension of ALP feature vector was minimized that made it possible to distinguish between 2 classes "norm - no ALP" and "pathology - ALP are present" with minimum error classification.
Keywords :
bioelectric potentials; eigenvalues and eigenfunctions; electrocardiography; medical disorders; medical signal detection; medical signal processing; neural nets; numerical analysis; signal classification; wavelet transforms; ALP detection; ALP feature vector; ECG; atrial late potential detection; decomposition; eigenvector basis; electrocardiogram; heart rhythm disorders; low-amplitude components; minimum error classification; neural network; noninvasive identification; numerical experiment; wavelet analysis; wavelet decomposition; Biological neural networks; Eigenvalues and eigenfunctions; Electrocardiography; Noise; Training; Wavelet analysis; atrial late potentials; eigenvectors basis; high-resolution electrocardiography; markers of atrial tachyarrhythmia; neural network; wavelet analysis;
Conference_Titel :
Electronics and Nanotechnology (ELNANO), 2013 IEEE XXXIII International Scientific Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4673-4669-6
DOI :
10.1109/ELNANO.2013.6552080
