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

研究成果: 書貢獻/報告類型會議貢獻

9 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
頁面188-191
頁數4
DOIs
出版狀態已發佈 - 2009 十二月 1
事件2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 - Cancun, 墨西哥
持續時間: 2009 八月 22009 八月 5

出版系列

名字Midwest Symposium on Circuits and Systems
ISSN(列印)1548-3746

其他

其他2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
國家墨西哥
城市Cancun
期間09/8/209/8/5

    指紋

ASJC Scopus subject areas

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

引用此

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. 於 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 (頁 188-191). [5236120] (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2009.5236120