Title :
Using wavelet-based method for detection of Atrial Late Potentials and ECG classification
Author :
Ivanushkina, N.G. ; Ivan´ko, E.O. ; Fesechko, V.A. ; Dorosh, N.V.
Author_Institution :
Nat. Tech. Univ. of Ukraine "Kiev Polytech. Inst.", Kiev, Ukraine
Abstract :
The wavelet-based method is proposed to improve detection of low-amplitude components of P wave. Atrial Late Potentials are simulated by solving the Hodgkin-Huxley Equations. Classification of ECG is accomplished by cluster analysis of wavelet coefficients.
Keywords :
bioelectric potentials; electrocardiography; medical signal processing; signal classification; statistical analysis; ECG classification; Hodgkin-Huxley equations; P wave; atrial late potential detection; cluster analysis; wavelet coefficients; wavelet-based method; Delay; Discrete wavelet transforms; Electrocardiography; Equations; Signal detection; Signal processing; Time frequency analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms; Arrhythmia; Atrial Late Potentials; Cluster analysis; High-resolution ECG; Wavelet transform;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-966-553-875-2
Electronic_ISBN :
978-966-553-901-8
