High order statistics and time-frequency domain to classify heart sounds for subjects under cardiac stress test

Computational and Mathematical Methods in Medicine

Volumn 2015, Issue , 2015, Pages

  Moukadem, Ali ^a   Schmidt, Samuel ^b   Dieterlen, Alain ^a  

^a UNIVERSITÉ DE HAUTE ALSACE   (France)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; ELECTROCARDIOGRAPHY; FREQUENCY DOMAIN ANALYSIS; MATHEMATICAL TRANSFORMATIONS;

CARDIAC STRESS; ENERGY CONCENTRATION; HEALTHY SUBJECTS; HIGH FREQUENCY HF; HIGH ORDER STATISTICS; STOCKWELL TRANSFORM; TIME FREQUENCY; TIME FREQUENCY DOMAIN;

HEART;

ADULT; ARTICLE; BLOOD FLOW VELOCITY; BREATHING; CARDIAC STRESS TEST; DIASTOLE; EXERCISE TEST; FEMALE; HEART RATE; HEART SOUND; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; SYSTOLE; TACHYCARDIA; BIOLOGICAL MODEL; BIOLOGY; ELECTROCARDIOGRAPHY; HEART AUSCULTATION; PHONOCARDIOGRAPHY; PHYSIOLOGY; REFERENCE VALUE; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TIME FACTOR; YOUNG ADULT;

ADULT; COMPUTATIONAL BIOLOGY; DIASTOLE; ELECTROCARDIOGRAPHY; EXERCISE TEST; FEMALE; HEART AUSCULTATION; HEART RATE; HEART SOUNDS; HUMANS; MALE; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PHONOCARDIOGRAPHY; REFERENCE VALUES; SYSTOLE; TIME FACTORS; YOUNG ADULT;

EID: 84930657841     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2015/157825     Document Type: Article

References (29)

1. S. M. Debbal and F. Bereksi Reguig, "Choix de l'ondelette analysante et classifcation des signaux phonocardiogrammes en fonction des soufes surajoutés," Afrique Science, vol. 1, no. 1, pp. 1-13, 2004.
2. A. Moukadem, A. Dieterlen, N. Hueber, and C. Brandt, "A robust heart sounds segmentation module based on S-transform," Biomedical Signal Processing and Control, vol. 8, no. 3, pp. 273-281, 2013.
3. Z. Dokur and T. Ölmez, "Heart sound classifcation using wavelet transform and incremental self-organizing map," Digital Signal Processing: A Review Journal, vol. 18, no. 6, pp. 951-959, 2008.
4. C. N. Gupta, R. Palaniappan, S. Swaminathan, and S. M. Krishnan, "Neural network classifcation of homomorphic segmented heart sounds," Applied Sof Computing Journal, vol. 7, no. 1, pp. 286-297, 2007.
5. A. A. Sepehri, A. Gharehbaghi, T. Dutoit, A. Kocharian, and A. Kiani, "A novel method for pediatric heart sound segmentation without using the ECG," Computer Methods and Programs in Biomedicine, vol. 99, no. 1, pp. 43-48, 2010.
6. V. Nigam and R. Priemer, "Accessing heart dynamics to estimate durations of heart sounds," Physiological Measurement, vol. 26, no. 6, pp. 1005-1018, 2005.
7. H. Naseri and M. R. Homaeinezhad, "Detection and boundary identifcation of phonocardiogram sounds using an expert frequency-energy based metric," Annals of Biomedical Engineering, vol. 41, no. 2, pp. 279-292, 2013.
8. Z. Dokur and T. Ölmez, "Feature determination for heart sounds based on divergence analysis," Digital Signal Processing, vol. 19, no. 3, pp. 521-531, 2009.
9. Z. Yan, Z. Jiang, A. Miyamoto, and Y. Wei, "The moment segmentation analysis of heart sound pattern," Computer Methods and Programs in Biomedicine, vol. 98, no. 2, pp. 140-150, 2010.
10. S. E. Schmidt, C. Holst-Hansen, C. Graf, E. Tof, and J. J. Struijk, "Segmentation of heart sound recordings by a duration-dependent hidden Markov model," Physiological Measurement, vol. 31, no. 4, pp. 513-529, 2010.
11. R. G. Stockwell, L. Mansinha, and R. P. Lowe, "Localization of the complex spectrum: the S transform," IEEE Transactions on Signal Processing, vol. 44, no. 4, pp. 998-1001, 1996.
12. G. Ferro, A. Guinta, S. Maione, G. Carella, A. Genovese, and M. Chiariello, "Diastolic time during exercise in normal subjects and in patients with coronary artery disease. A plethysmo-graphic study," Cardiology, vol. 71, no. 5, pp. 266-272, 1984.
13. G. Ferro, C. Duilio, L. Spinelli, G. A. Liucci, F. Mazza, and C. Indolf, "Relation between diastolic perfusion time and coronary artery stenosis during stress-induced myocardial ischemia," Circulation, vol. 92, no. 3, pp. 342-347, 1995.
14. V. Gemignani, E. Bianchini, F. Faita et al., "Assessment of cardiologic systole and diastole duration in exercise stress test with a transcutaneus accelerometer sensor," Computers in Cardiology, vol. 35, pp. 153-156, 2008.
15. S. M. M. Rønved, I. Gjerløv, A. Brokjær, and S. E. Schmidt, "Phonocardiographic recordings of frst and second heart sound in determining the systole/diastole-ratio during exercise test," in Proceedings of the 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC '11), vol. 34, pp. 85-88, Aalborg, Denmark, June 2011.
16. K. Saunamäki, K. Egstrup, L. Krusell et al., Vejledenderet-ningslinjer for klinisk arbejdstest i relation til iskæmisk hjertesyg-dom, Dansk Cardiologisk Selskab, 2001.
17. J. Hansen, N. H. Zimmermann, S. Schmidt, D. Hammershoi, and J. Struijk, "System for acquisition of weak murmurs related to coronary artery diseases'," in Proceedings of the Computing in Cardiology, pp. 213-216, Hangzhou, China, September 2011.
18. D. Kumar, P. Carvalho, M. Antunes et al., "Detection of S1 and S2 heart sounds by high frequency signatures," in Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '06), pp. 1410-1416, IEEE, New York, NY, USA, September 2006.
19. D. Kumar, P. Carvalho, M. Antunes, R. P. Paiva, and J. Hen-riques, "An adaptive approach to abnormal heart sound segmentation," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '11), pp. 661-664, 2011.
20. J. M. Felner, "The frst heart sound," in Clinical Methods: The History, Physical, and Laboratory Examinations, H. K. Walker, W. D. Hall, and J. W. Hurst, Eds., chapter 22, Butter worths, Boston, Mass, USA, 1990.
21. J. M. Felner, "The second heart sound," in Clinical Methods: The History, Physical, and Laboratory Examinations, H. K. Walker, W. D. Hall, and J. W. Hurst, Eds., chapter 23, Butter worths, Boston, Mass, USA, 3rd edition, 1990.
22. S. Assous and B. Boashash, "Evaluation of the modifed S-transform for time-frequency synchrony analysis and source localisation," Eurasip Journal on Advances in Signal Processing, vol. 2012, no. 1, article 49, 2012.
23. C. R. Pinnegar and L. Mansinha, "The S-transform with windows of arbitrary and varying shape," Geophysics, vol. 68, no. 1, pp. 381-385, 2003.
24. M. Biswal and P. K. Dash, "Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifer," Digital Signal Processing, vol. 23, no. 4, pp. 1071-1083, 2013.
25. L. Stankovíc, "Measure of some time-frequency distributions concentration," Signal Processing, vol. 81, no. 3, pp. 621-631, 2001.
26. E. Sejdíc, I. Djurovíc, and J. Jiang, "A window width optimized S-transform," Eurasip Journal on Advances in Signal Processing, vol. 2008, Article ID 672941, 2008.
27. R. G. Baraniuk, P. Flandrin, A. J. Janssen, and O. J. Michel, "Measuring time-frequency information content using the Rényi entropies," IEEE Transactions on Information Theory, vol. 47, no. 4, pp. 1391-1409, 2001.
28. R. Ferzli, L. J. Karam, and J. Caviedes, "A robust image sharpness metric based on kurtosis measurement of wavelet coefcients," in Proceedings of the 1st International Workshop on Video Processing and Quality Metrics for Consumer Electronics, 2005.
29. E. Sejdić, I. Djurovíc, and J. Jiang, "Time-frequency feature representation using energy concentration: an overview of recent advances," Digital Signal Processing, vol. 19, no. 1, pp. 153-183, 2009.