A SURVEY OF AUDIO PROCESSING ALGORITHMS FOR DIGITAL STETHOSCOPES

Fabio de Lima Hedayioglu, Miguel Tavares Coimbra, Sandra da Silva Mattos

Abstract

Digital stethoscopes have been drawing the attention of the biomedical engineering community for some time now, as seen from patent applications and scientific publications. In the future, we expect ’intelligent stethoscopes’ to assist the clinician in cardiac exam analysis and diagnostic, potentiating functionalities such as the teaching of auscultation, telemedicine, and personalized healthcare. In this paper we review the most recent heart sound processing publications, discussing their adequacy for implementation in digital stethoscopes. Our results show a body of interesting and promising work, although we identify three important limitations of this research field: lack of a set of universally accepted heart-sound features, badly described experimental methodologies and absence of a clinical validation step. Correcting these flaws is vital for creating convincing next-generation ’intelligent’ digital stethoscopes that the medical community can use and trust.

References

  1. Bredesen, M. and Schmerler, E. (1991). 5,010,889: Intelligent stethoscope.
  2. Brusco, M. and Nazeran, H. (2005). Development of an intelligent pda-based wearable digital phonocardiograph. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
  3. Durand, L.-G. and Pibarot, P. (1995). Digital signal processing of the phonocardiogram: Review of the most recent advancements. Critical Reviews in Biomedical Engineering.
  4. E Kail, S Khoór, B. K. K. F. and Balázs, F. (2004). Internet digital phonocardiography in clinical settings and in population screening. Computers in Cardiology.
  5. F. L. Hedayioglu, S. S. Mattos, L. M. M. E. d. L. (2007). Development of a tele-stethoscope and it's application in pediatric cardiology. Indian Journal of Experimental Biology, 45.
  6. H. Liang, S. L. and Hartimo, I. (1997a). Heart sound segmentation algorithm based on heart sound envelogram. Computers in Cardiology, 24.
  7. H. Liang, S. L. and Hartimo, I. (1997b). A heart sound segmentation algorithm using wavelet decomposition and reconstruction. In 19th International Conference - IEEE/EMBS, Chicago, IL, USA.
  8. JingPing Xu, L.G. Durand, P. P. (2000). Nonlinear transient chirp signal modeling of the aortic and pulmonary components of the secound heart sound. IEEE Transactions on Biomedical Engineering, 47(7).
  9. JingPing Xu, L.G. Durand, P. P. (2001). Extraction of the aortic and pulmonary components of the secound heart sound using nonlinear transient chirp signal model. IEEE Transactions on Biomedical Engineering, 48(3).
  10. Liang, H. and Hartimo, I. (1998a). A feature extraction algorithm based on wavelet packet decomposition for heart sound signals. In Proceedings of the IEEE-SP International Symposium.
  11. Liang, H. and Hartimo, I. (1998b). A heart sound feature extraction algorithm based on wavelet decomposition and reconstruction. In Proc. IEEE EMBS, volume 20.
  12. M. El-Hanjouri, W. Alkhaldi, N. H. and Alim, A. (2002). Heart diseases diagnosis using hmm. In Electrotechnical Conference -MELECON.
  13. M.E. Tavel, D. B. and Shander, D. (1994). Enhanced auscultation with a new graphic display system. In Arch. Intern. Med., volume 154, page 893.
  14. Nigam, V. and Priemer, R. (2006). A procedure to extract the aortic and the pulmonary sounds from the phonocardiogram. In Proceedings of the 28th IEEE EMBS Annual International Conference, New York City, USA.
  15. Onsy Abdel-Alim, N. H. and El-Hanjouri, M. A. (2002). Heart diseases diagnosis using heart sounds. In Radio Science Conference.
  16. Ozgur Say, Z. D. and Olmez, T. (2002). Classification of heart sounds by using wavelet transform. In Proceedings of the Second Joint EMBS/BMES Conference, volume 1.
  17. P. M. Bentley, J. T. E. M. and Grant, P. M. (1995). Classification of native heart valve sounds using the choiwilliams time-frequency distribution. In IEEE-EMBC and CMBEC.
  18. P. M. Bentley, P. M. G. and McDonnell, J. T. E. (1998). Time-frequency and time-scale techniques for the classification of native and bioprosthetic heart valve sounds. IEEE Transactions on Biomedical Engineering, 45(1).
  19. P. Wang, Y. K. and Soh, C. B. (2005). Feature extraction based on mel-scaled wavelet transform for heart sound analysis. In Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference.
  20. Sherif Omran, M. T. (2003). A heart sound segmentation and feature extraction algorithm using wavelet. In Proc. of IEEE MWSCAS 7803, volume 1, pages 27-30.
  21. T. S. Leung, P. R. White, J. C. W. B. C. E. B. A. P. S. (1998). Analysis of the secound heart sound for diagnosis of paediatric heart disease. In IEE Proceedings - Sci. Meas. Technol., volume 145.
  22. Tilkian, A. and Conover, M. (1984). Understanding heart sounds and murmurs with an introduction to lung sounds. W.B. Saunders Company.
  23. T.S. Leung, P.R. White, W. B. C. E. B. and Salmon, A. P. (2000). Classification of heart sounds using timefrequency method and artificial neural networks. In Proceedings of the 22nd Annual International Conference of the IEEE, volume 2.
  24. Turkoglu, I. and Arslan, A. (2001). An intelligent pattern recognition system based on neural network and wavelet decomposition for interpretation of heart sounds. In Proceedings of the 23rd Annual International Conference of the IEEE, volume 2, pages 25- 28.
  25. Zaiton Sharif, Mohd Shamian Zainal, A. Z. S. and Salleh, S. H. S. (2000). Analysis and classification of heart sounds and murmurs based on the instantaneous energy and frequency estimations. In Proceedings of TENCON, volume 2.
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Paper Citation


in Harvard Style

de Lima Hedayioglu F., Tavares Coimbra M. and da Silva Mattos S. (2009). A SURVEY OF AUDIO PROCESSING ALGORITHMS FOR DIGITAL STETHOSCOPES . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009) ISBN 978-989-8111-63-0, pages 425-429. DOI: 10.5220/0001512104250429


in Bibtex Style

@conference{healthinf09,
author={Fabio de Lima Hedayioglu and Miguel Tavares Coimbra and Sandra da Silva Mattos},
title={A SURVEY OF AUDIO PROCESSING ALGORITHMS FOR DIGITAL STETHOSCOPES},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)},
year={2009},
pages={425-429},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001512104250429},
isbn={978-989-8111-63-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)
TI - A SURVEY OF AUDIO PROCESSING ALGORITHMS FOR DIGITAL STETHOSCOPES
SN - 978-989-8111-63-0
AU - de Lima Hedayioglu F.
AU - Tavares Coimbra M.
AU - da Silva Mattos S.
PY - 2009
SP - 425
EP - 429
DO - 10.5220/0001512104250429