1. Alan, G., Hylek, E., Phillips, K., Chang, Y., Henault, L., Selby, J., Singer, D.: Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the nticoagulation and risk factors in atrial fibrillation (ATRIA) study. JAMA. 285, 2370–2375 (2001)
2. Al-Nashash, H.: Cardiac arrhythmia classification using neural networks. Technol. Health Care. 8(6), 363–372 (2000)
3. Cerutti, S., Mainardi, L.T., Porta, A., Bianchi, A.: Analysis of the dynamics of RR interval series for the detection of atrial fibrillation episodes. IEEE Comput. Cardiol. 24, 77–80 (1997)
4. Chikh, M., Gbelgacem, N., Reguig, F.: The use of artificial neural networks to detect PVC beats. Lab. de Génie Biomédical. Dép. d’électronique, Univ. Abou Bekr Belkaïd (2003)
5. Chikh, M., Belgacem, N., Chikh, A., Reguig, F.: The use of artificial neural network to detect the premature ventricular contraction (PVC) beats. Electron. J. Tech. Acoust. 2, 1–14 (2004)