Title :
An approach for ECG classification using wavelets and Markov Model
Author :
Messadeg, Dj ; Snani, C. ; Bedda, M.
Author_Institution :
Lab. d´´Automatique et Signaux Annaba, Annaba Univ.
Abstract :
In this paper we propose a method for the classification of the ECG signal. This method is based on the use of the ergodic Markov model. The data used was obtained from the MIT-BIH arrhythmia database for two categories. Each beat is isolated and its discrete wavelet transform is calculated and the vectorial quantization is applied. The parameters of the Markov model are computed for different number of states. The results presented are discussed
Keywords :
Markov processes; discrete wavelet transforms; electrocardiography; medical signal processing; signal classification; vector quantisation; ECG classification; discrete wavelet transform; electrocardiography; ergodic Markov model; vectorial quantization; Biological system modeling; Continuous wavelet transforms; Data compression; Discrete wavelet transforms; Electrocardiography; Heart beat; Quantization; Signal analysis; Signal processing; Signal resolution; ECG; Vectorial Quantization; classification; wavelets;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684681
