Evolutionary training of a neurofuzzy network for detection of P wave of the ECG

The article presents a neurofuzzy network that is applied to the detection of a specific wave of the electrocardiographic signal. The network was trained using genetic algorithms, using a software package publicly available on the Internet. The training procedure, its parameters and details of the application are presented. Results suggest that this kind of network is suitable for the identification of patterns in unidimensional time-varying signals.