Selection of dynamic features based on time-frequency representations for heart murmur detection from phonocardiographic signals

Annals of Biomedical Engineering

Volumn 38, Issue 1, 2010, Pages 118-137

  Quiceno Manrique, A F ^a   Godino Llorente, J I ^b   Blanco Velasco, M ^c   Castellanos Dominguez, G ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^c UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

Automatic detection of murmurs; Dynamic features; Feature selection; Heart sounds; Time frequency representations

Indexed keywords

AUTOMATIC DETECTION; DYNAMIC FEATURES; FEATURE SELECTION; HEART SOUNDS; TIME-FREQUENCY REPRESENTATIONS;

ELECTRIC POWER DISTRIBUTION; HEART; HYDRAULIC STRUCTURES; ONLINE SEARCHING; WAVELET TRANSFORMS;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; BIOLOGICAL MODEL; FOURIER ANALYSIS; HEART MURMUR; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; PHONOCARDIOGRAPHY;

FOURIER ANALYSIS; HEART MURMURS; HUMANS; MODELS, CARDIOVASCULAR; PHONOCARDIOGRAPHY;

EID: 74249085198     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-009-9838-3     Document Type: Article

References (67)

1. C Ahlstrom P Hult P Rask JE Karlsson E Nylander U Dahlstrom P Ask 2006 Feature extraction for systolic heart murmur classification Ann. Biomed. Eng. 34 1666 1677 10.1007/s10439-006-9187-4 17019618 (Pubitemid 44704822)
2. M Akay 1997 Wavelet applications in medicine IEEE Press 34 5 50 56
3. Atlas, L., and J. Fang. Quadratic detectors for general nonlinear analysis of speech. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992, pp. 9-12.
4. B Boashash 1992 Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals IEEE J. Proc. 80 520 538 10.1109/5.135376
5. S Cerutti AM Bianchi LT Mainardi 2001 Advanced spectral methods for detecting dynamic behaviour Autonomic Neurosci. 90 3 12 10.1016/S1566-0702(01) 00261-2 1:STN:280:DC%2BD38%2FisFymuw%3D%3D (Pubitemid 32547224)
6. Chakroborty, S., A. Roy, and G. Saha. Fusion of a complementary feature set with MFCC for improved closed set text-independent speaker identification. In: Proc. IEEE International Conference on Industrial Technology, 2006, pp. 387-390.
7. S Chauhan P Wang C Sing Lim V Anantharaman 2008 A computer-aided MFCC-based HMM system for automatic auscultation Comput. Biol. Med. 38 221 233 10.1016/j.compbiomed.2007.10.006 18045582
8. Cohen, L. The uncertainty principle in signal analysis. In: Proc. of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, 1994, pp. 182-185.
9. RR Coifman MV Wickerhauser 1992 Entropy-based algorithms for best basis selection IEEE Trans. Inform. Theory 38 713 718 10.1109/18.119732
10. Daliman, S., and A. Z. Sháameri. Comparison of time-frequency analysis performance on hearts and murmurs. In: Proc. Student Conference on Research and Development, edited by A. Z. Sháameri, 2003, pp. 1-4.
11. Daliman, S., and A. Z. Sháameri. Time-frequency analysis of heart sounds and murmurs. In: Proc. of the 4th International Conference on Multimedia Information, Communications and Signal Processing, edited by A. Z. Sháameri, 2003, pp. 840-843.
12. Daliman, S., and A. Z. Sháameri. Time-frequency analysis of heart sounds using windowed and smooth windowed Wigner-Ville distribution. In: Proc. 7th International Symposium on Signal Processing and Its Applications, 2nd edn, edited by A. Z. Sháameri, 2003, pp. 625-626.
13. G Daza-Santacoloma JD Arias-Londono JI Godino-Llorente N Saenz-Lechon V Osma-Ruiz CG Castellanos-Dominguez 2009 Dynamic feature extraction: an application to voice pathology detection Intell. Automat. Soft Comput. 15 4 665 680
14. SM Debbal F Bereksi-Reguig 2007 Time-frequency analysis of the first and the second heartbeat sounds Appl. Math. Comput. 184 1041 1052 10.1016/j.amc.2006.07.005 (Pubitemid 46176157)
15. Debbal, S. M., and F. Bereksi-Reguig. Analysis of the second cardiac sound using the fast Fourier and the continuous wavelet transforms. Internet J. Med. Technol. 3(1), 2006.
16. E Delgado-Trejos AF Quiceno-Manrique JI Godino-Llorente M Blanco-Velasco G Castellanos-Dominguez 2009 Digital auscultation analysis for heart murmur detection Ann. Biomed. Eng. 37 2 337 353 10.1007/s10439-008-9611-z 19048376
17. Djebbari, A. and F. Bereksi Reguig. Short-time Fourier transform analysis of the phonocardiogram signal. In: Proc. 7th IEEE International Conference on Electronics, Circuits and Systems, 2000, pp. 844-847.
18. I Djurovic LJ Stankovic 2004 An algorithm for the Wigner distribution based instantaneous frequency estimation in a high noise environment Signal Process. 84 631 643 10.1016/j.sigpro.2003.12.006
19. M El Segaier O Lilja S Lukkarinen L Sörnmo R Sepponen E Pesonen 2005 Computer-based detection and analysis of heart sound and murmur Ann. Biomed. Eng. 33 937 942 10.1007/s10439-005-4053-3 1:STN:280:DC%2BD2MvgtVWgug%3D%3D 16060534 (Pubitemid 40997681)
20. Ergen, B., and Y. Tatar, Optimal continuous wavelet analysis of periodogram signals. In: Proc. of International Conference on Signal Processing, 2003, pp. 187-191.
21. Ergen, B., and Y. Tatar, Time-Frequency Analysis of Phonocardiogram. In: Proc. of 4th International Conference on Measurement, 2003, pp. 222.
22. Gajic, B., and K. K. Paliwal. Robust feature extraction using subband spectral centroid histograms. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001, pp. 85-88.
23. Gill, D., N. Gavrieli, and N. Intrator. Detection and identification of heart sounds using homomorphic envelogram and self-organizing probabilistic model. In: Proc. Computers in Cardiology, 2005, pp. 957-960.
24. Groutage, D., and D. Bennink. A new matrix decomposition based on optimum transformation of the singular value decomposition basis sets yields principal features of time-frequency distributions. In: Proc. 10th IEEE Workshop on Statistical Signal and Array Processing, 2000, pp. 598-602. (Pubitemid 30938331)
25. Haghighi-Mood, A., and J. N. Torry. Time-frequency analysis of systolic murmurs. In: Proc. IEE Colloquium on Time-Frequency Analysis of Biomedical Signals, 1997, pp. 71-72.
26. Haibin, W., W. Jianqi, L. Guohua, Z. Guohui, and N. Ansheng. Application of adaptive time-frequency analysis in cardiac murmurs signal processing. In: Proc. 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001, pp. 1896-1898.
27. H Hamid M Mostefa B Boualem 2004 Time-frequency feature extraction of newborn EEG seizure using SVD-based techniques EURASIP J. Appl. Signal Process. 2004 1 2544 2554 10.1155/S1110865704406167 (Pubitemid 40297533)
28. JA Hanley BJ McNeil 1983 A method of comparing the areas under receiver operating characteristic curves derived from the same cases Radiology 148 3 839 843 1:STN:280:DyaL3s3nsVKgtg%3D%3D 6878708
29. Hussain, Z. M., and B. Boashash. Design of time-frequency distributions for amplitude and IF estimation of multicomponent signals. In: Proc. of the 6th International Symposium on Signal Processing and Its Applications, 1st edn, 2001, pp. 339-342.
30. Jeharon, H., A. Seagar, and N. Seagar. Feature extraction from phonocardiogram for diagnosis based on expert system. In: Proc. 27th Annual International Conference of the Engineering in Medicine and Biology Society, edited by A. Seagar, 2005, pp. 5479-5482.
31. Kaiser, J. F. On a simple algorithm to calculate the 'energy' of a signal. In: Proc. International Conference on Acoustics, Speech, and Signal Processing, 1990, pp. 381-384.
32. Kamarulafizam, I., S. H. Salleh, J. M. Najeb, A. K. Ariff, and A. Chowdhury. Heart sound analysis using MFCC and time frequency distribution. In: 3rd Kuala Lumpur International Conference on Biomedical Engineering, 2006, pp. 402-405
33. S Kikkawa M Ishida 1988 Number of degrees of freedom correlation times, and equivalent bandwidths of a random process IEEE Trans. Inform. Theory 34 151 155 10.1109/18.2617 (Pubitemid 18638863)
34. BU Kohler C Hennig R Orglmeister 2002 The principles of software QRS detection IEEE Eng. Med. Biol. Mag. 21 1 42 57 10.1109/51.993193 11935987 (Pubitemid 34263918)
35. A Kouibia M Pasadas 2001 Approximation by shape preserving interpolation splines Appl. Numerical Math. 37 3 271 288 10.1016/S0168-9274(00)00029-5 (Pubitemid 32272130)
36. Kumar, D., P. Carvalho, M. Antunes, J. Henriques, L. Eugenio, R. Schmidt, and J. Habetha. Detection of S1 and S2 heart sounds by high frequency signatures. In: Proc. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006, pp. 1410-1416. (Pubitemid 46520138)
37. Kumar, D., R. Carvalho, M. Antunes, R. Gil, J. Henriques, and L. Eugenio. A new algorithm for detection of S1 and S2 heart sounds. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, edited by R. Carvalho, 2006
38. Liang, H., and I. Nartimo. A feature extraction algorithm based on wavelet packet decomposition for heart sound signals. In: Proc. IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, 1998, pp. 93-96.
39. Liang, H., S. Lukkarinen, and I. Hartimo. Heart sound segmentation algorithm based on heart sound envelogram. In: Proc. Computers in Cardiology, 1997, pp. 105-108.
40. Lima, C. S., and M. J. Cardoso. Phonocardiogram segmentation by using an hybrid RBF-HMM model. In: Proc. of the 5th IASTED International Conference on Biomedical Engineering, 2007, pp. 419-422.
41. Lima, C. S., and M. J. Cardoso. Phonocardiogram segmentation by using hidden Markov models. In: Proc. of the 5th IASTED International Conference on Biomedical Engineering, 2007, pp. 415-418.
42. SS Mahmoud ZM Hussain I Cosic Q Fang 2006 Time-frequency analysis of normal and abnormal biological signals Biomed. Signal Process. Control 1 33 43 10.1016/j.bspc.2006.02.001 (Pubitemid 43947872)
43. BP Marchant 2003 Time-frequency analysis for biosystems engineering Biosyst. Eng. 85 261 281 10.1016/S1537-5110(03)00063-1 (Pubitemid 36784880)
44. Myint, W. W., and B. Dillard. An electronic stethoscope with diagnosis capability. In: Proc. 33rd Southeastern Symposium on System Theory, 2001, pp. 133-137.
45. Ning, T., and K. S. Hsieh. Delineation of systolic murmurs by autoregressive modelling. In: Proc. IEEE 21st Annual Northeast Bioengineering Conference, 1995, pp. 19-21.
46. L Rankine M Mesbah B Boashash 2007 IF estimation for multicomponent signals using image processing techniques in the time-frequency domain Signal Process. 87 1234 1250 10.1016/j.sigpro.2006.10.013 (Pubitemid 46282983)
47. Ricke, A. D., R. J. Povinelli, and M. T. Johnson. Automatic segmentation of heart sound signals using hidden Markov models. In: Proc. Computers in Cardiology, 2005, pp. 953-956.
48. Santos, M. A. R., and M. N. Souza. Detection of first and second cardiac sounds based on time frequency analysis. In: Proc. 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001, pp. 1915-1918.
49. Sejdic, E., and J. J. Jiang. Comparative study of three time-frequency representations with applications to a novel correlation method. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004, pp. 633-636.
50. Sharif, Z., M. S. Zainal, A. Z. Sháameri, and S. H. S. Salleh. Analysis and classification of heart sounds and murmurs based on the instantaneous energy and frequency estimations. In: Proc. of TENCON, 2000, pp. 130-134.
51. Shino, H., H. Yoshida, H. Mizuta, and K. Yana. Phonocardiogram classification using time-frequency representation. In: Proc. 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, edited by H. Yoshida, 1997, pp. 1636-1637.
52. Sörnmo, L., and P. Laguna. Bioelectrical Signal Processing in Cardiac and Neurological Applications. Amsterdam: Elsevier Academic Press, 2005.
53. Sun, L., M. Shen, F. H. Y. Chan, and P. J. Beadle. Instantaneous frequency estimate of nonstationary phonocardiograph signals using Hilbert spectrum. In: Proc. 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005, pp. 7285-7288.
54. M Sun ML Scheuer RJ Sclabassi 2000 Decomposition of biomedical signals for enhancement of their time-frequency distributions J. Franklin Inst. 337 453 467 10.1016/S0016-0032(00)00030-2
55. ME Tavel H Katz 2005 Usefulness of a new sound spectral averaging technique to distinguish an innocent systolic murmur from that of aortic stenosis Am. J. Cardiol. 95 902 904 10.1016/j.amjcard.2004.12.018 15781030 (Pubitemid 40386812)
56. Telatar, Z., and O. Erogul. Heart sounds modification for the diagnosis of cardiac disorders, In: Proc. of International Conference on Signal Processing, 1 edn., pp. 100-105, 2003
57. Tilkian, A., and M. Conover. Understanding heart sounds and murmurs: With an introduction to lung sounds. Philadelphia: W. B. Saunders Co., p. 358, 2001.
58. G Tomasi F van den Berg C Andersson 2004 Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data J. Chemometr. 18 231 241 10.1002/cem.859 1:CAS:528:DC%2BD2cXnvVWgtbg%3D
59. MG Tsipouras DI Fotiadis 2004 Automatic arrhythmia detection based on time and time-frequency analysis of heart rate variability Comput. Methods Progr. Biomed. 74 95 108 10.1016/S0169-2607(03)00079-8 (Pubitemid 38315050)
60. I Turkoglu A Arslan E Ilkay 2002 An expert system for diagnosis of the heart valve diseases Expert Syst. Appl. 23 229 236 10.1016/S0957-4174(02)00042-8 (Pubitemid 34991875)
61. Voss, A., J. Herold, R. Schroeder, F. Nasticzky, A. Mix, P. Ulrich, and T. Huebner. Diagnosis of aortic valve stenosis by correlation analysis of wavelet filtered heart sounds. In: Proc. 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2003, pp. 2873-2876.
62. A Voss A Mix T Hubner 2005 Diagnosing aortic valve stenosis by parameter extraction of heart sound signals Ann. Biomed. Eng. 33 1167 1174 10.1007/s10439-005-5347-x 16133924 (Pubitemid 41240011)
63. Wang, P., Y. Kim, and C. B. Soh. Feature extraction based on Mel-scaled wavelet transform for heart sound analysis. In: Proc. 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005, pp. 7572-7575.
64. P Wang CS Lim S Chauhan JY Foo V Anantharaman 2007 Phonocardiographic signal analysis method using a modified hidden Markov model Ann. Biomed. Eng. 35 367 374 10.1007/s10439-006-9232-3 17171300 (Pubitemid 46325724)
65. White, P. R., W. B. Collis, and A. P. Salmon. Analyzing heart murmurs using time-frequency methods. In: Proc. IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, 1996, pp. 385-388.
66. H Yoshida S Kikkawa 2007 Information theoretic equivalent bandwidths of random processes and their applications Methods Inf. Med. 46 110 116 1:STN:280:DC%2BD2s7kslaktg%3D%3D 17347738
67. Yoshida, H., H. Shino, and K. Yana. Instantaneous frequency analysis of systolic murmur for phonocardiogram. In: Proc. 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1997, pp. 1645-1647.