An expert system based on least square support vector machines for diagnosis of the valvular heart disease

Expert Systems with Applications

Volumn 36, Issue 3 PART 1, 2009, Pages 4232-4238

  Hanbay, Davut ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Entropy; Fast Fourier transform; Least squares support vector machine; Valvular heart disease; Wavelet packet decomposition

Indexed keywords

CARDIOLOGY; DIAGNOSIS; DISEASES; ENTROPY; EXPERT SYSTEMS; FAST FOURIER TRANSFORMS; HEART; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

CLASSIFICATION RATES; CROSS-VALIDATION METHODS; DOPPLER HEART SOUNDS; HEART DISEASE; LEAST SQUARE SUPPORT VECTOR MACHINES; LEAST SQUARES SUPPORT VECTOR MACHINES; WAVELET PACKET DECOMPOSITION; WAVELET PACKET DECOMPOSITIONS;

SUPPORT VECTOR MACHINES;

EID: 58349108297     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.04.010     Document Type: Article

References (30)

1. Akay M. Wavelet applications in medicine. IEEE Spectrum 34 May (1997) 50-56
2. Akay M., Akay Y.M., and Welkowitz W. Neural networks for the diagnosis of coronary artery disease. International Joint Conference on Neural Networks, IJCNN 2 (1992) 419-424
3. Bakhtazad A., Palazoglu A., and Romagnoli J.A. Process data de-noising using wavelet transform. Intelligent Data Analysis 3 (1999)
4. Banks S.P. Signal processing, image processing and pattern recognition (1991), Prentice Hall, NJ, USA
5. Bishop C.M. Neural networks for pattern recognition (1996), Clarendon Press, Oxford
6. Burrus C.S., Gopinath R.A., and Guo H. Introduction to wavelet and wavelet transforms (1998), Prentice Hall, NJ, USA
7. Chan B.C.B., Chan F.H.Y., Lam F.K., Lui P.W., and Poon P.W.F. Fast detection of venous air embolism is Doppler heart sound using the wavelet transform. IEEE Transactions on Biomedical Engineering 44 4 (1997) 237-245
8. Coifman R.R., and Wickerhauser M.V. Entropy-based Algorithms for best basis selection. IEEE Transactions on Information Theory 38 2 (1992) 713-718
9. Çomak E., Arslan A., and Türkoǧlu I. A decision support system based on support vector machines for diagnosis of the heart valve diseases. Computers in Biology and Medicine 37 1 (2007) 21-27
10. Devasahayam S.R. Signals and systems in biomedical engineering (2000), Kluwer Academic Publishers
11. Dickhous H., and Heinrich H. Classifying biosignals with wavelet networks. IEEE Engineering in Medicine and Biology (1996) 103-111
12. Guler, I., & Kara, S. (1995). Detection of mitral stenosis by a pulsed Doppler flow meter and autoregressive spectral analysis method. 14th Conference of the biomedical engineering society of India. An international meeting, proceedings of the first regional conference, IEEE (pp. 2/91-2/92).
13. Izzetoglu K., Erkmen A.M., and Beksac S. Intelligent classification of fetal Doppler blood velocity waveform abnormalities using wavelet transform and vector quantization algorithm. IEEE International Conference on Systems, Man and Cybernetics, Intelligent Systems for the 21st Century 1 (1995) 724-729
14. Jing, F., Xuemin, W., Mingshi, W., & Wie, L. (1997). Noninvasive acoustical analysis system of coronary heart disease. In Biomedical engineering conference, proceedings of the 1997 sixteenth southern (pp. 239-241).
15. Karabetsos E., Papaodysseus C., and Koutsouris D. Design and development of a new ultrasonic doppler technique for estimation of the aggregation of red blood cells. Measurement 24 (1998) 207-215
16. Keeton, P.I.J., & Schlindwein, F.S. (1997). Application of wavelets in Doppler ultrasound (Vol. 17(1), pp. 38-45). MCB University Press.
17. Liang, H., & Nartimo, I. (1998). A feature extraction algorithm based on wavelet packet decomposition for heart sound signals. In Proceedings of the IEEE-SP international symposium (pp. 93-96).
18. Lukas L., Devos A., Suykens J.A.K., et al. Brain tumor classification based on long echo proton MRS signals. Artificial Intelligence in Medicine 31 1 (2004) 73-89
19. Madeira M.M., Tokhi M.O., and Ruano M.G. Real-time implementation of a Doppler signal spectral estimator using sequential and parallel processing techniques. Microprocessors and Microsystems 24 (2000) 153-167
20. Nanda N.C. Doppler echocardiography. 2nd ed. (1993), Lea & Febiger, London
21. Philpot E.F., Yoganathan A.P., and Nanda N.C. Future directions in Doppler echocardiography. Doppler echocardiography (1993), Lea & Febiger Philadelphia, London
22. Quiroga R.Q. Quantitative analysis of EEG signals: Time-frequency methods and Chaos theory (1998), Intitute of Physiology - Medical University Lübeck
23. Quiroga R.Q., Roso O.A., and Basar E. Wavelet entropy: A measure of order in evoked potentials. Evoked potentials and magnetic fields Vol. 49 (1999), Elsevier Science (pp. 298-302)
24. Saini V.D., Nanda N.C., and Maulik D. Basic principles of ultrasound and Doppler effect. Doppler echocardiography (1993), Lea & Febiger Philadelphia, London
25. Suykens J.A.K., and Vandewalle J. Least squares support vector machine classifiers. Neural Processing Letters 9 3 (1999) 293-300
26. Turkoglu I., Arslan A., and Ilkay E. A pattern recognition system for diagnose of the heart mitral valve diseases based on wavelet packet and neural network. Fi{dotless}rat University, Journal of Science and Technology 14 1 (2002) 1-10
27. Turkoglu I., Arslan A., and Ilkay E. A decision support system for diagnose of the heart valve diseases. Journal of the Institute of Science and Technology of Sakarya University 6 2 (2002) 57-64
28. Turkoglu I., Arslan A., and Ilkay E. An expert system for diagnosis of the heart valve diseases. Expert Systems with Applications 23 3 (2002) 229-236
29. Uguz H., Arslan A., and Türkoǧlu I. A biomedical system based on hidden Markov model for diagnosis of the heart valve diseases. Pattern Recognition Letters (2007)
30. Wright I.A., Gough N.A.J., Rakebrandt F., Wahab M., and Woodcock J.P. Neural network analysis of Doppler ultrasound blood flow signals: A pilot study. Ultrasound in Medicine and Biology 23 5 (1997) 683-690