Automatic Classification of Heartbeats Using Wavelet Neural Network

Author:

Benali Radhwane,Bereksi Reguig Fethi,Hadj Slimane Zinedine

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference32 articles.

1. Clifford, G. D., Azuaje, F., and McSharry, P. E., Advanced methods and tools for ECG analysis. Boston/London: Artech ouse Publishing, 2006:384.

2. de Chazal, P., O’Dwyer, M., and Reilly, R. B., Automatic classification of heartbeats using ECG morphology and heartbeat interval features. IEEE Trans Biomed Eng 51(7):1196–1206, 2004.

3. Bortolan, G., Brohet, C., and Fusaro, S., Possibilities of using neural networks for ECG classification. J Electrocardiol 29(Supplement):10–16, 1996.

4. Minami, K., Nakajima, H., and Toyoshima, T., Real-time discrimination of ventricular tachyarrhythmia with fourier-transform neural network. IEEE Trans Biomed Eng 46(2):179–185, 1999.

5. Qin, S., Ji, Z., and Zhu, H., The ECG recording analysis instrumentation based on virtual instrument technology and continuous wavelet transform, Proceedings of the 25th Annual International Conference of the IEEE EMBS Cancun, Mexico, September 17–21, 2003, pp. 3176–3179.

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