1. 2. Analysis of features for efficient ECG signal classification using neuro-fuzzy network Osowski S., Hoai L.T. Warsaw University of Technology, Military University of Technology, Warsaw, Poland; Hanoi University of Technology, Hanoi, Viet Nam Abstract: The paper considers the problem of optimizing the set of features following from Hermite representation of the QRS complex of the electrocardiogram signals for the classification of the heart arrhythmias. The principal component analysis as well as specially defined quality measure have been applied to verify the discriminative ability of the proposed feature set. As the classifier we have used Takagi-Sugeno-Kang neuro-fuzzy network of the modified structure and learning algorithm, well suited for large size problems. The numerical results of recognition of 7 types of different heart rhythms are presented and discussed. Index Keywords: Error analysis; Fourier transforms; Function evaluation; Learning algorithms; Neural networks; Optimization; Principal component analysis; Problem solving; Signal processing; Waveform analysis; Heart arrhythmias; Hermite basis functions; Neuro-fuzzy networks; Electrocardiography Year: 2004 Source title: IEEE International Conference on Neural Networks - Conference Proceedings Volume: 3 Page : 2443-2448 Cited by: 1 Link: Scorpus Link Correspondence Address: Osowski, S.; Warsaw University of Technology, Military University of Technology, Warsaw, Poland; email: sto@iem.pw.edu.pl Sponsors: IEEE Neural Networks Society, INNS Conference name: 2004 IEEE International Joint Conference on Neural Networks - Proceedings Conference date: 25 July 2004 through 29 July 2004 Conference location: Budapest Conference code: 64098 ISSN: 10987576 CODEN: ICNNF Language of Original Document: English Abbreviated Source Title: IEEE International Conference on Neural Networks - Conference Proceedings Document Type: Conference Paper Source: Scopus Authors with affiliations: Osowski, S., Warsaw University of Technology, Military University of Technology, Warsaw, Poland Hoai, L.T., Hanoi University of Technology, Hanoi, Viet Nam