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Diagnosis of Epilepsy from Electroencephalography Signals Using Multilayer Perceptron and Elman Artificial Neural Networks and Wavelet Transform
2010
Journal of medical systems
This article deals with an original approach of acquiring and processing electrocardiogram (ECG) and phonocardiogram (PCG) signals for the diagnosis of cardiac arrhythmias in order to remedy the difficulties encountered with the ECG. Indeed, it integrates an analysis tool based on wavelet transforms for the characterization of ECG signals and a classification system from multilayer perceptron neural network of five categories of cardiac arrhythmias: normal (N), left bundle branch block (LBBB),
doi:10.1007/s10916-010-9440-0
pmid:20703754
fatcat:g2xpqvvkw5eofevjku4hkupwkq