Abstract: Cardiovascular diseases are the major public health parameter; they are the leading causes of mortality in the world. In fact many studies have been implemented to reduce the risk, including promoting education, prevention, and monitoring of patients at risk. In this paper we propose to develop classification system heartbeats. This system is based mainly on Wavelet Transform to extract features and Kohonen self-organization map the arrhythmias are considered in this study: N,(Normal), V(PrematureVentricular), A(AtrialPremature), S(Extrasystolesupraventriculaire), F(FusionN+S), R(RightBundle Branch).

Hadji Salah and Ellouze Noureddine, “Cardiac Arrhythmia Classification by Wavelet Transform” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(5), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040503

@article{Salah2015,
title = {Cardiac Arrhythmia Classification by Wavelet Transform},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040503},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040503},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {5},
author = {Hadji Salah and Ellouze Noureddine}
}