Detection and classification of cardiac murmurs using segmentation techniques and Artificial Neural Networks

Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007

Volumn , Issue , 2007, Pages 128-133

  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

AORTIC STENOSIS; CARDIAC MURMURS; DIAGNOSTIC SYSTEM;

BIOMEDICAL ENGINEERING; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); DIAGNOSIS; STUDENTS;

NEURAL NETWORKS;

EID: 37349013556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. nd Annual EMBS International Conference, Chicago IL, 988-991, July 23-28, 2000.
2. 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, 20(3), 1998.
3. I. Hartimo and H. Liang, "A Feature Extraction Algorithm Based on Wavelet Packet Decomposition for Heart Sound Signals," IEEE, 93-96, 1998.
4. C. N. Gupta, et al., "Segmentation and Classification of Heart Sounds," CCECE/CCGEI, Saskatoon, IEEE, 1674-77, May 2005.
5. D. Barschdorff, U. Femmer, and E. Trowitzsch, "Automatic Phonocardiogram Signal Analysis in Infants based on Wavelet Transforms and Artificial Neural Networks," Computers in Cardiology, 753-6, IEEE, 1995.
6. S. R. Bhatikar, C. DeGroff, and R. L. Mahajan, "A classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics," Artificial Intelligence in Medicine, 2005; 33: 251-260.
7. E. Etchells, C. Bell, and K. Robb, "Does this Patient Have an Abnormal Systolic Murmur," JAMA, 277: 564-571, 1997.
8. American Society of Echocardiography, "Frequently Asked Questions about Cardiography," www.seemyheart.org/faq.php.
9. S. Mangione and L.Z. Nieman, "Cardiac Auscultatory Skills of Internal Medicine and Family Practice Trainees: A Comparison of Diagnostic Proficiency," JAMA, 278(9): 717-722, Sept 1997.
10. R.O. Bonow, et al., "ACC/AHA Task Force Report," JACC, 32(5): 1486-1588, November 1998.
11. A.R. Freeman and S. A. Levine, "The Clinical Significance of the Systolic Murmur", Annals of Internal Medicine VI (1933): 1371-1385.
12. M. T. Hagan, H. B. Demuth, and M. H. Beale, Neural Network Design, Martin Hagan, January 2002.
13. 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," International Association of Science and Technology for Development (IASTED) Conference: Circuits, Signals and Systems (CSS 2004), Nov. 28, 2004 - December 1, 2004.
14. AHA Scientific Statement: AHA Guidelines for Primary Prevention of Cardiovascular Disease and Stroke: 2002 Update, #71-0226 Circulation. 2002; 106: 388-391.
15. AHA, Heart Disease and Stroke Statistics: 2006 Update. Dallas, TX, American Heart Association, 2003 [Online].
16. MATLAB Help Documentation: Neural Networks Toolbox Help. MATLAB v6.5.0.1, June 18, 2002.
17. Lam M. Z. C., et al., "Factors influencing cardiac auscultation proficiency in physician trainees," Singapore Medical Journal, 2005; 25: 11-14.
18. A. Disher, C. Ornes, and J. Sklansky, "A Visual Neural Network that Learns Perceptual Relationships," IEEE, 873-875, 1998.