Automatic heart sound analysis with short-time fourier transform and support vector machines

Wen Chung Kao, Chih Chao Wei, Jen Jui Liu, Pei Yung Hsiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Skilled cardiologists probe heart sounds by electronic stethoscope through human ears, but interpretation of heart sounds is a very special skill which is quite difficult to teach in a structured way. Because of this reason, automatic heart sound analysis in computer systems would be very helpful for medical staff. This paper presents a complete heart sound analysis system covering from the segmentation of beat cycles to the final determination of heart conditions. The kernels of heart beat cycle segmentation and recognition are based on autocorrelation, short-time Fourier transform, and support vector machines. The experiments are done by a public heart sound database released by Texas Heart Institute. A very promising recognition rate has been achieved.

Original languageEnglish
Title of host publication2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Pages188-191
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 - Cancun, Mexico
Duration: 2009 Aug 22009 Aug 5

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
CountryMexico
CityCancun
Period09/8/209/8/5

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Automatic heart sound analysis with short-time fourier transform and support vector machines'. Together they form a unique fingerprint.

  • Cite this

    Kao, W. C., Wei, C. C., Liu, J. J., & Hsiao, P. Y. (2009). Automatic heart sound analysis with short-time fourier transform and support vector machines. In 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 (pp. 188-191). [5236120] (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2009.5236120