Segmentation of heart sound recordings by a duration-dependent hidden Markov model

Physiological Measurement

Volumn 31, Issue 4, 2010, Pages 513-529

  Schmidt, S E ^a   Holst Hansen, C ^b   Graff, C ^a   Toft, E ^a   Struijk, J J ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b AALBORG UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Auscultation; Heart sounds; Markov models; Segmentation; Signal processing

Indexed keywords

CARDIOLOGY; HEART; PHYSIOLOGICAL MODELS; SIGNAL PROCESSING;

ANALYSIS PROCESS; AUSCULTATION; COMPUTERIZED ANALYSIS; HANDHELDS; HEART SOUNDS; HIDDEN-MARKOV MODELS; MARKOV MODELING; SEGMENTATION; SEGMENTATION OF HEART SOUNDS; SIGNAL-PROCESSING;

HIDDEN MARKOV MODELS;

EID: 77949781513     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/31/4/004     Document Type: Article

References (24)

1. Ahlstrom C, Länne T, Ask P and Johansson A 2008 A method for accurate localization of the first heart sound and possible applications Physiol. Meas. 29 417-28
2. Akay M, Semmlow J L, Welkowitz W, Bauer M D and Kostis J B 1990 Noninvasive detection of coronary stenoses before and after angioplasty using eigenvector methods IEEE Trans. Bio-Med. Eng. 37 1095-104
3. Baum L, Petrie T, Soules G and Weiss N 1970 A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains Ann. Math. Stat. 41 164-71
4. Bland M 2003 An Introduction to Medical Statistics 3rd edn (Oxford: Oxford University Press)
5. Brown L D, Cai T T and DasGupta A 2001 Interval estimation for a binomial proportion Stat. Sci. 16 101-33
6. Chung Y 2007 Classification of continuous heart sound signals using the ergodic hidden Markov model Proc. 3rd Iberian Conf. on Pattern Recognit. Image Anal. 4477 563-70
7. Gamero L G andWatrous R 2003 Detection of the first and second heart sound using probabilistic models Proc. 25th Ann. Int. Conf. IEEE-EMBS 25 2877-80
8. Gill D, Gavrieli N and Intrator N 2005 Detection and identification of heart sounds using homomorphic envelogram and self-organizing probabilistic model Comput. Cardiol. 32 957
9. Kim D and Tavel M E 2003 Assessment of severity of aortic stenosis through time-frequency analysis of murmur Chest 124 1638-44
10. Liang H, Lukkarinen S and Hartimo I 1997a Heart sound segmentation algorithm based on heart sound envelogram Comput. Cardiol. 24 105
11. Liang H, Lukkarinen S and Hartimo I 1997b Heart sound segmentation algorithm using wavelet decomposition and reconstruction Proc. of 19th Ann. Int. Conf. of the IEEE Engineering in Medicine and Biology Society vol 4 pp 1630-3
12. Lima C S and Cardoso M J 2007 Phonocardiogram segmentation by using hidden markov models Proc. 5th IASTED Int. Conf. on Biomedical Engineering vol 5 pp 415-8
13. Moore M D and Savic M I 2004 Speech reconstruction using a generalized HSMM (GHSMM) Digit. Signal Process. 14 37-53
14. Navin Gupta C, Palaniappan R and Swaminathan S 2005 Classification of homomorphic segmented phonocardiogram signals using grow and learn network Proc. 27th Ann. Int. Conf. IEEE-EMBS 4 4251-4
15. Nigam V and Priemer R 2005 Accessing heart dynamics to estimate durations of heart sounds Physiol. Meas. 26 1005-18
16. Nigam V and Priemer R 2008 A simplicity-based fuzzy clustering approach for detection and extraction of murmurs from the phonocardiogram Physiol. Meas. 29 33-47
17. Obaidat M S 1993 Phonocardiogram signal analysis: techniques and performance comparison J. Med. Eng. Technol. 17 221-7
18. Oskiper T and Watrous R 2002 Detection of the first heart sound using a time-delay neural network Comput. Cardiol. vol 29 537
19. Rabiner L R 1989 Tutorial on hidden Markov models and selected applications in speech recognition Proc. IEEE 77 257-86
20. Ricke A D, Povinelli R J and JohnsonMT 2005 Automatic segmentation of heart sound signals using hiddenMarkov models Comput. Cardiol. 32 953
21. Tateishi O 2001 Clinical significance of the acoustic detection of coronary artery stenosis J. Cardiology 38 255-62
22. Tavel M E and Katz H 2005 Usefulness of a new sound spectral averaging technique to distinguish an innocent systolic murmur from that of aortic stenosis Am. J. Cardiol. 95 902-4
23. Watrous R L 2006 Computer-aided auscultation of the heart: from anatomy and physiology to diagnostic decision support Proc. 28th Ann. Int. Conf. IEEE-EMBS 1 140
24. Wilson E B 1927 Probable inference, the law of succession, and statistical inference J. Am. Stat. Assoc. 22 209-12