Classification of heart sounds using an artificial neural network

Author:

Ölmez Tamer,Dokur Zümray

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Alpaydın, E., 1990. Neural models of incremental supervised and unsupervised learning. PhD Thesis, Ecole Polytechnique De Lausanne, Switzerland

2. Barschdorff, D., Ester, S., Most, E., 1995. Phonocardiogram analysis of congenital and acquired heart diseases using artificial neural networks. Advances in Fuzzy Systems-Applications and Theory (3), Comparative approaches to medical reasoning, World Scientific Publishing Co., 271–288

3. A connectionist model for category perception: theory and implementation;Basak;IEEE Transactions on Neural Networks,1993

4. Bently, P.M., 1996. Time–frequency analysis of native and prosthetic heart valve sounds. PhD Thesis, Electrical and Electronics Department, University of Edinburgh

5. Berlich, R., Kunze, M., Steffens, J., 1996. A comparison between the performance of feed forward neural networks and the supervised growing neural gas algorithm. In: 5th Artificial Intelligence in High Energy Physics Workshop, Lausanne, World Scientific

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