Heart sound classification using wavelet transform and incremental self-organizing map
Section snippets
Zümray Dokur received the B.Sc. degree in 1992, the M.Sc. degree in 1995, and Ph.D. degree in 2000, both in Electrical and Electronics Engineering, from Istanbul Technical University, Turkey. Since 1992 she has been with the Department of Electrical and Electronics Engineering at Istanbul Technical University, Turkey, where at present she is an associate professor. Her current research interests include pattern recognition, biomedical signal processing, image processing, computer vision, neural
References (32)
- et al.
Neural network classification of homomorphic segmented heart sounds
Appl. Soft Comput.
(2007) - et al.
A biomedical system based on hidden Markov model for diagnosis of the heart valve diseases
Pattern Recogn. Lett.
(2007) - et al.
A decision support system based on support vector machines for diagnosis of the heart valve diseases
Comput. Biol. Med.
(2007) ECG beats classification using multiclass support vector machines with error correcting output codes
Digital Signal Process.
(2007)Wavelet-based denoising using subband dependent threshold for ECG signals
Digital Signal Process.
(2008)- et al.
A novel compression algorithm for electrocardiogram signals based on the linear prediction of the wavelet coefficients
Digital Signal Process.
(2003) - et al.
Optimal selection of wavelet basis function applied to ECG signal denoising
Digital Signal Process.
(2006) - et al.
Time–frequency analysis of heart murmurs. Part II: Optimization of time–frequency representations and performance evaluation
Med. Biol. Eng. Comput.
(1997) - P.M. Bently, Time–frequency analysis of native and prosthetic heart valve sounds, PhD thesis, Electrical and...
- T.S. Leung, P.R. White, W.B. Collis, E. Brown, A.P. Salmon, Acoustic diagnosis of heart diseases, in: Proceedings of...
Phonocardiogram signal analysis: A review
Crit. Rev. Biomed. Eng.
The acoustic stethoscope and the electrical amplifying stethoscope and stethograph
Am. Heart J.
Algorithm for detecting the first and the second heart sounds by spectral tracking
Med. Biol. Eng. Comput.
A new phonocardiographic recording system
Comput. Cardiol.
Cited by (0)
Zümray Dokur received the B.Sc. degree in 1992, the M.Sc. degree in 1995, and Ph.D. degree in 2000, both in Electrical and Electronics Engineering, from Istanbul Technical University, Turkey. Since 1992 she has been with the Department of Electrical and Electronics Engineering at Istanbul Technical University, Turkey, where at present she is an associate professor. Her current research interests include pattern recognition, biomedical signal processing, image processing, computer vision, neural networks, genetic algorithms, biomedical instrumentation.
Tamer Ölmez received the B.Sc. degree in Electrical and Electronics Engineering in 1985, the M.Sc. degree in Computer Engineering in 1988, and Ph.D. degree in Electrical and Electronics Engineering in 1995, from Istanbul Technical University, Turkey. Between 1985 and 1988 he worked as a research engineer at TELETAS Turkey. Until the end of 1989 he worked at The Scientific and Technical Research Council of Turkey as a research engineer. Since then he has been with the Department of Electrical and Electronics Engineering at Istanbul Technical University, Turkey, where at present he is a professor. His current research interests include pattern recognition, machine learning, biomedical signal processing, image processing, computer vision, neural networks, genetic algorithms, real-time signal processing applications based on microprocessors.