A robust heart sounds segmentation module based on S-transform

Biomedical Signal Processing and Control

Volumn 8, Issue 3, 2013, Pages 273-281

  Moukadem, Ali ^a,c   Dieterlen, Alain ^a   Hueber, Nicolas ^b   Brandt, Christian ^c  

^a UNIVERSITÉ DE HAUTE ALSACE   (France)

^b FRENCH GERMAN RESEARCH INSTITUTE OF SAINT LOUIS   (France)

^c Université de Strasbourg   (France)

Author keywords

Classification; Heart sounds; S transform; Segmentation; Time frequency analysis

Indexed keywords

CARDIOLOGY; CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; MATHEMATICAL TRANSFORMATIONS; PHONOCARDIOGRAPHY; SIGNAL ANALYSIS; SINGULAR VALUE DECOMPOSITION;

CARDIAC PATHOLOGIES; ENERGY CONCENTRATION; FEATURE EXTRACTION METHODS; HEART SOUNDS; OPTIMIZATION ALGORITHMS; S TRANSFORMS; SEGMENTATION PROCESS; TIME FREQUENCY ANALYSIS;

HEART;

ALGORITHM; ARTICLE; CARDIOVASCULAR PARAMETERS; CLASSIFICATION; CONCENTRATION (PARAMETERS); DIASTOLE; ENERGY; HEART SOUND; HUMAN; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SPECTRUM; SYSTOLE;

EID: 84875750676     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2012.11.008     Document Type: Article

References (25)

1. H. Liang, S. Lukkarinen, and I. Hartimo Heart Sound Segmentation Algorithm Based on Heart Sound Envelogram 1997 Helsinki University of Technology Espoo, Finland
2. A. Moukadem, A. Dieterlen, N. Hueber, C. Brandt, Comparative study of heart sounds localization, bioelectronics, biomedical and bio-inspired systems, SPIE N° 8068A-27, Prague, 2011.
3. A. Yadollahi, and Z.M. Moussavi A robust method for heart sounds localization using lung sounds entropy IEEE Transactions on Biomedical Engineering 53 3 2006 497 502
4. F. Hasfjord, Heart sound analysis with time dependent fractal dimensions. Master's thesis, Linköping, Sweden, February 2004.
5. C. Ahlstrom, NonLinear phonocardiographic signal processing, PhD thesis, Linköping University, SE-581 85 Linköping, Sweden, April 2008.
6. A. Moukadem, A. Dieterlen, N. Hueber, and C. Brandt 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC 2011) IFMBE Proceedings vol. 34 2011 10.1007/978-3-642-21683-1-42 pp. 168-171
7. R.G. Stockwell, L. Mansinha, and R.P. Lowe Localization of the complex spectrum: the S-transform IEEE Transactions on Signal Processing 44 4 1996 998 1001
8. H. Hadi, M. Mashor, M. Suboh, and M. Mohamed Classification of heart sound based on S-transform and neural networks International Conference on Information Science, Signal Processing and their Applications 2010
9. G. Livanos Heart sound analysis using the S-transform Computers in Cardiology 27 2000 587 590
10. Liang et al., H. Liang, S. Lukkarinen, I. Hartimo, A boundary modification method for heart sound segmentation algorithm, Computers in Cardiology, http://dx.doi.org/10.1109/CIC.1998.731943.
11. S. Ari, P. Kumar, and G. Saha On an Algorithm for Boundary Estimation of Commonly Occurring Heart Valve Diseases in Time Domain, India Conference, 2006 Annual IEEE 2006 10.1109/INDCON.2006.302758
12. 8th ed. R.C. Schlant, and R. wayne Alexander The Heart Arteries and Veins vol. 1 1994 McGraw Hill Inc. Chapter 11
13. P.D. McFadden, J.G. Cook, and L.M. Forster Decomposition of gear vibration signals by the generalized S-transform Mechanical Systems and Signal Processing 13 5 1999 691 707
14. C.R. Pinnegar, and L. Mansinha The S-transform with windows of arbitrary and varying shape Geophysics 68 1 2003 381 385
15. E. Sejdić, I. Djurović, and J. Jiang A window width optimized S-transform EURASIP Journal on Advances in Signal Processing 2008 10.1155/2008/672941 Article ID 672941, 13 pages
16. K. Gröchenig Foundations of Time-Frequency Analysis 2001 Birkhäuser Boston, MA, USA
17. L.J. Stanković Measure of some time-frequency distributions concentration Signal Processing 81 3 2001 621 631
18. Z. Dokur, and T. Ölmez Feature determination for heart sounds based on divergence analysis Digital Signal Process 2007 10.1016/j.dsp. 2007.11.003
19. Z. Yan, Z. Jiang, A. Miyamoto, and Y. Wei The moment segmentation analysis of heart sound pattern Computer Methods and Programs in Biomedicine 2009 10.1016/j.cmppb.2009.09.008
20. D. Kumar, P. Carvalho, M. Antunes, J. Henriques, L. Eugenio, R. Schmidt, and J. Habetha Detection of S1 and S2 heart sounds by high frequency signatures Proc. 28th Annual International Conference of the IEEE EMBS 2006 pp. 410-1416
21. D. Kumar, P. Carvalho, M. Antunes, J. Henriques, M. Maldonado, R. Schmidt, and J. Habetha Wavelet transform and simplicity based heart murmur segmentation Computers in Cardiology 33 2006 978-1-4244-2532-7, 173-176
22. M. Marinovic, and G. Eichmann Feature extraction and pattern classification in space-spatial frequency domain SPIE Intelligent Robots and Computer Vision 1985 19 25 10.1117/12.950779
23. H. Hassanpour, M. Mesbah, and B. Boashash Time-frequency feature extraction of newborn EEG seizure using SVD-based techniques Eurasip Journal on Applied Signal Processing 16 2004 2544 2554
24. C. Ahlstrom, P. Hult, P. Rask, J.-E. Karlsson, E. Nylander, U. Dahlstrśom, and P. Ask Feature extraction for systolic heart murmur classification Annals of Biomedical Engineering 34 11 2006 1666 1677
25. A. Moukadem, A. Dieterlen, N. Hueber, and C. Brandt Study of two feature extraction methods to distinguish between the first and the second heart sounds International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012