INTELLIGENT PHONOCARDIOGRAM ANALYSIS AND REPRESENTATION TOOL

J. P. Ramos, P. Carvalho, R. P. Paiva, L. Vale, J. Henriques

Abstract

Cardiac auscultation is a highly sensitive, specific, cost effective and comfortable diagnosis technique for many cardiovascular diseases. Unfortunately, it is observed that the art of auscultation is mastered by an increasingly lower number of medical professionals. This paper presents a Matlab tool to support physicians in performing auscultation. This application enables real time signal acquisition using off-the-shelf sensors and performs several automatic annotation functions of heart sounds, such as noise contamination detection, segmentation into S1, S2 and S3, S2-split detection, murmur detection and classification, systolic time intervals measurement, contractility and stroke volume. These are related to the most pertinent clinical applications of this signal. Moreover, it can also be used for auscultation training.

References

  1. Allender, S., Scarborough, P., Peto, V., and Rayner, M. (2008). European cardiovascular disease statistics. British Heart Foundation Health Promotion.
  2. Brito, M., Vale, L., Carvalho, P., and Henriques, J. (2010). A sensor middleware for integration of heterogeneous medical devices. In Engineering in Medicine and Biology Society, 2010. EMBC 2010. Annual International Conference of the IEEE.
  3. Carvalho, P., Paiva, R. P., Kumar, D., Ramos, J. P., Santos, S., and Henriques, J. (2011). A framework for acoustic cardiac signal analysis. BioStec: BioSignals 2011 (accepted).
  4. Jiang, Z. and Choi, S. (2006). A cardiac sound characteristic waveform method for in-home heart disorder monitoring with electric stethoscope. Expert Systems with Applications, 31(2):286 - 298.
  5. Karnath, B. and Thornton, W. (2002). Auscultation of the heart. Hospital Physician, pages 39-43.
  6. Kudriavtsev, V., Polyshchuk, V., and Roy, D. (2007). Heart energy signature spectrogram for cardiovascular diagnosis. BioMedical Engineering OnLine, 6(1):16.
  7. Lam, M. Z. C., Lee, T. J., Boey, P. Y., Ng, W. F., Hey, H. W., Ho, K. Y., and Cheong, P. Y. (2005). Factors influencing cardiac auscultation proficiency in physician trainees. Singapore Med J, 46(1):11-4.
  8. Mangione, S., Nieman, L. Z., Gracely, E., and Kaye, D. (1993). The Teaching and Practice of Cardiac Auscultation during Internal Medicine and Cardiology Training: A Nationwide Survey. Annals of Internal Medicine, 119(1):47-54.
  9. mksqlite (2010). http://mksqlite.berlios.de/mksqlite eng.html/.
  10. Rajan, S., Doraiswami, R., Stevenson, R., and Watrous, R. (1998). Wavelet based bank of correlators approach for phonocardiogram signal classification. In Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on, pages 77 -80.
  11. Reed, N., Nie, Y., and Mahnke, C. (2009). A portable graphical representation tool for phonocardiograms. In Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, pages 3111 -3114.
  12. Shaver, J. A., Leonard, J. J., and Leon, D. F. (1990). Auscultation of the Heart - Examination of the Heart, volume 4. American Heart Association.
  13. Shub, C. (2003). Echocardiography or auscultation? how to evaluate systolic murmurs. Can Fam Physician, 49:163-7.
  14. SQLite (2010). http://www.sqlite.org/.
  15. Tovar-Corona, B. and Torry, J. (1997). Graphical representation of heart sounds and murmurs. In Computers in Cardiology 1997, pages 101-104.
  16. Vukanovic-Criley, J. M., Criley, S., Warde, C. M., Boker, J. R., Guevara-Matheus, L., Churchill, W. H., Nelson, W. P., and Criley, J. M. (2006). Competency in cardiac examination skills in medical students, trainees, physicians, and faculty: a multicenter study. Arch Intern Med, 166(6):610-6.
  17. Watrous, R. L. (2006). Computer-aided auscultation of the heart: from anatomy and physiology to diagnostic decision support. Conf Proc IEEE Eng Med Biol Soc, 1:140-3.
Download


Paper Citation


in Harvard Style

P. Ramos J., Carvalho P., P. Paiva R., Vale L. and Henriques J. (2011). INTELLIGENT PHONOCARDIOGRAM ANALYSIS AND REPRESENTATION TOOL . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, pages 186-192. DOI: 10.5220/0003137401860192


in Bibtex Style

@conference{healthinf11,
author={J. P. Ramos and P. Carvalho and R. P. Paiva and L. Vale and J. Henriques},
title={INTELLIGENT PHONOCARDIOGRAM ANALYSIS AND REPRESENTATION TOOL},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},
year={2011},
pages={186-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003137401860192},
isbn={978-989-8425-34-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
TI - INTELLIGENT PHONOCARDIOGRAM ANALYSIS AND REPRESENTATION TOOL
SN - 978-989-8425-34-8
AU - P. Ramos J.
AU - Carvalho P.
AU - P. Paiva R.
AU - Vale L.
AU - Henriques J.
PY - 2011
SP - 186
EP - 192
DO - 10.5220/0003137401860192