Title :
Evolutionary training of a neurofuzzy network for detection of P wave of the ECG
Author :
Pilla, Valfredo, Jr. ; Lopes, Heitor Silvério
Author_Institution :
Dept. of Electron., Fed. Center of Technol. Educ. of Parana, Curitiba, Brazil
Abstract :
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
Keywords :
Internet; electrocardiography; fuzzy neural nets; genetic algorithms; learning (artificial intelligence); medical signal detection; ECG; Internet; P wave detection; electrocardiographic signal; evolutionary training; genetic algorithms; neurofuzzy network; software package; training procedure; unidimensional time-varying signals; Bioelectric phenomena; Electric potential; Electric variables measurement; Electrocardiography; Equations; Genetic algorithms; Humans; Iron; Laboratories; Pattern recognition;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 1999. ICCIMA '99. Proceedings. Third International Conference on
Conference_Location :
New Delhi
Print_ISBN :
0-7695-0300-4
DOI :
10.1109/ICCIMA.1999.798510
