Phonocardiographic signal analysis method using a modified hidden Markov model

Annals of Biomedical Engineering

Volumn 35, Issue 3, 2007, Pages 367-374

  Wang, Ping ^a   Lim, Chu Sing ^a,b   Chauhan, Sunita ^c   Foo, Jong Yong A ^a   Anantharaman, Venkataraman ^d  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b Nanyang Technological University   (Singapore)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d SINGAPORE GENERAL HOSPITAL   (Singapore)

Author keywords

Auscultation; Feature extraction; Heart sound; Hidden Markov model; Mel frequency cepstral coefficient; Phonocardiography

Indexed keywords

ACOUSTIC VARIABLES MEASUREMENT; CARDIOVASCULAR SYSTEM; CLASSIFICATION (OF INFORMATION); FOURIER TRANSFORMS; MARKOV PROCESSES; PATTERN RECOGNITION;

AUSCULTATION; HEART SOUND; HIDDEN MARKOV MODEL; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; PHONOCARDIOGRAPHY;

BIOMEDICAL ENGINEERING;

ARTICLE; HEART SOUND; HEART VALVE; HUMAN; PHONOCARDIOGRAPHY; PHYSIOLOGY; PROBABILITY; STATISTICAL ANALYSIS; STATISTICS;

DATA INTERPRETATION, STATISTICAL; HEART SOUNDS; HEART VALVES; HUMANS; MARKOV CHAINS; PHONOCARDIOGRAPHY;

EID: 33847318369     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-006-9232-3     Document Type: Article

References (16)

1. Coast, D. A., G. G. Cano, and S. A. Briller. Use of hidden Markov models for electrocardiographic signal analysis. J. Electrocardiol. 23(Suppl):184-191, 1990.
2. Coast, D. A., R. M. Stern, G. G. Cano, and S. A. Briller. An approach to cardiac arrhythmia analysis using hidden Markov models. IEEE Trans. Biomed. Eng. 37:826-836, 1990.
3. Criley, J. M., D. Criley, and C. Zalace. The physiological origins of heart sounds and murmurs: the unique interactive guide to cardiac diagnosis. Boston: Blaufuss Medical Multimedia, 1995.
4. Debbal, S. M. and F. Bereksi-Reguig. Analysis of the second heart sound using continuous wavelet transform. J. Med. Eng. Technol. 28:151-156, 2004.
5. El-Segaier, M., O. Lilja, S. Lukkarinen, L. Sornmo, R. Sepponen, and E. Pesonen. Computer-based detection and analysis of heart sound and murmur. Ann. Biomed. Eng. 33:937-942, 2005.
6. Godino-Llorente, J. I. and P. Gomez-Vilda. Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors. IEEE Trans. Biomed. Eng. 51:380-384, 2004.
7. Guo, Z., L. G. Durand, H. C. Lee, L. Allard, M. C. Grenier, and P. D. Stein. Artificial neural networks in computer-assisted classification of heart sounds in patients with porcine bioprosthetic valves. Med. Biol. Eng. Comput. 32:311-316, 1994.
8. Leatham A. Auscultation of the Heart and Phonocardiography, 2nd Edition. London: Churchill Livingstone, 1975.
9. Li, X., M. Parizeau, and R. Plamondon. Training hidden Markov models with multiple observations-a combinatorial method. IEEE Trans. Pattern Anal. Mach. Intell. 22:371-377, 2000.
10. Liang, H., S. Lukkarinen, and I. Hartimo. Heart sound segmentation algorithm based on heart sound envelogram. Comput. Cardiol. 24:105-108, 1997.
11. Marcus, G. M., I. L. Gerber, B. H. McKeown, J. C. Vessey, M. V. Jordan, M. Huddleston, C. E. McCulloch, E. Foster, K. Chatterjee, and A. D. Michaels. Association between phonocardiographic third and fourth heart sounds and objective measures of left ventricular function. JAMA 293:2238-2244, 2005.
12. Michael, T. A. D. Auscultation of the Heart. McGraw-Hill, New York.
13. Nanda N. C. Doppler Echocardiography, 2nd Edition. London: Lea & Febiger, 1992.
14. Rabiner, L. R. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77:257-286, 1989.
15. Voss, A., A. Mix, and T. Hubner. Diagnosing aortic valve stenosis by parameter extraction of heart sound signals. Ann. Biomed. Eng. 33:1167-1174, 2005.
16. Wu, G-D. and C-T. Lin. Word boundary detection with mel-scale frequency bank in noisy environment. IEEE Trans. Speech Audio Process 8:541-554, 2000.