Detection and classification of cardiac murmurs using segmentation techniques and artificial neural networks

Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007

Volumn , Issue , 2007, Pages 397-404

  Strunic, S L ^a   Rios Gutierrez, F ^a   Alba Flores, R ^a   Nordehn, G ^a   Burns, S ^a  

^a UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; DATA RECORDING; ECHOCARDIOGRAPHY; PATIENT TREATMENT; USER INTERFACES;

DIAGNOSTIC SYSTEMS; ECHOCARDIOGRAMS; HEART SOUNDS;

NEURAL NETWORKS;

EID: 34548740380     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2007.368902     Document Type: Conference Paper

References (21)

1. E. Etehells, C. Bell, and K. Robb, "Does this Patient Have an Abnormal Systolic Murmur," JAMA, vol. 277, pp. 564-571, 1997.
2. AHA Scientific Statement: AHA Guidelines for Primary Prevention of Cardiovascular Disease and Stroke: 2002 Updates #71-0226 Circulation. 2002; vol. 106: pp. 388-391.
3. American Society of Echocardiography, "Frequently Asked Questions about Cardiography," www.seemyheart.org/faq.php. Accessed October 1, 2006.
4. S. Mangione and L.Z. Nieman, "Cardiac Auscultatory Skills of Internal Medicine and Family Practice Trainees: A Comparison of Diagnostic Proficiency," JAMA, vol. 278(9), pp. 717-722, Sept 1997.
5. T. S. Leung, et al., "Classification of heart sounds using time-frequency methods and artificial neural networks," Proceedings of the 22"d Annual EMBS International Conference, Chicago IL, pp. 988-991, July 23-28, 2000.
6. I. Hartimo and H. Liang, "A Heart Sound Feature Extraction Algorithm Based On Wavelet Decomposition and Reconstruction.," Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 20, No 3, 1998.
7. I. Hartimo and H. Liang, "A Feature Extraction Algorithm Based on Wavelet Packet Decomposition for Heart Sound Signals," IEEE, pp. 93-96, 1998.
8. C. N. Gupta, et al., "Segmentation and Classification of Heart Sounds," CCECE/CCGEI, Saskatoon, IEEE, pp. 1674-77, May 2005.
9. nd Annual EMBS International Conference, IEEE, vol. 2, pp 988-991, July 2000.
10. S. R. Bhatikar, C. DeGroff, and R. L. Mahajan, "A classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics," A.I. in Medicine, 2005; vol. 33, pp. 251-260.
11. K. Ejaz, G. Nordehn, R. Alba-Flores, F. Rios-Gutierrez, S. Burns, and N. Andrisevic, "Heart Murmur Detection System Using Spectrograms and Artificial Neural Networks," IASTED Conference: Circuits, Signals and Systems (CSS 2004), Nov. 28, 2004 - December 1, 2004.
12. R.O. Bonow, et at el., "ACC/AHA Task Force Report," JACC, vol. 32, no. 5, pp. 1486-1588, November 1998.
13. A.R. Freeman and S. A. Levine, "The Clinical Significance of the Systolic Murmur", Annals of Internal Medicine VI (1933): 1371-1385.
14. M. T. Hagan, H. B. Demuth, and M. H. Beale, Neural Network Design, Martin Hagan, January 2002.
15. A. Disher, C. Ornes, and J. Sklansky, "A Visual Neural Network that Learns Perceptual Relationships," IEEE, pp.873-875, 1998.
16. Lam M. Z. C., et al., "Factors influencing cardiac auscultation proficiency in physician trainees," Singapore Medical Journal, 2005; vol. 25: pp. 11-14.
17. AHA, Heart Disease and Stroke Statistics: 2006 Update. Dallas, TX, American Heart Association, 2003 [Online].
18. MATLAB Help Documentation: Neural Networks Toolbox Help. MATLAB v6.5.0.1, June 18, 2002.
19. Z. Sharif, et al., "An expert system approach for classification of heart sounds and murmurs," ISSPA, pp. 739-742, August, 2001.
20. N. Shamsuddin, M. N. Mustafa, S. Husin, M. N. Taib, "Classification of heart sounds using a multilayer feed-forward neural network," IEEE, pp. 87-90, 2005.
21. F. Rios-Gutierrez, R. Alba-Flores, K. Ejaz, G. Nordehn, N. Andrisevic, S. Burns, "Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization, Network," 2006 International Joint Conference on Neural Networks, pp. 2206-13, July 2006.