A classification approach for the heart sound signals using hidden Markov models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4109 LNCS, Issue , 2006, Pages 375-383

  Chung, Yong Joo ^a  

^a Keimyung University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; CARDIOLOGY; MEDICAL IMAGING; NEURAL NETWORKS;

AUTOMATIC CLASSIFICATION; CLASSIFICATION RATE; HEART SOUND SIGNALS; HIDDEN MARKOV MODELS (HMM);

PATTERN RECOGNITION;

EID: 33749592197     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11815921_41     Document Type: Conference Paper

References (9)

1. Cathers, I.: Neural Network Assisted Cardiac Asculation. Artif. Intell. Med. 7 (1995) 53-66
2. Bhatikar, S.R., DeGroff, C., Mahajan, R. L.: A Classifier Based on Artificial Neural Network Approach for Cardiac Auscultation in Pediatrics. Artif. Intell. Med. 33 (2005) 251-260
3. Lippmann, R. P.: An Introduction to Computing with Neural Nets, IEEE ASSP Magazine April (1987) 4-22
4. Rabiner, L. R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceedings of the IEEE, 77, Feb. (1989)
5. Baum, L. E., Petrie, T., Soules, G., Weiss, N.:A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains, Annals of Mathematical Statistics 41 (1970) 164-171
6. Lee, K. F.,: Automatic Speech Recognition, Kluwer Academic Publishers (1989)
7. Rabiner, D. R.,: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition IEEE Proceedings (1998)
8. DeGroff C, Bhatikar S, Hertzberg J, Shandas R, Valdes-Cruz L, Mahajan R, "Artificial neural network-based method of screening heart murmur in children." Circulation 103, 2711-6, 2001.
9. Mason D.,: Listening to the Heart, Hahnemann University (2000)