A heart sound segmentation algorithm using wavelet decomposition and reconstruction

Author

Huiying, Liang ; Sakari, Lukkarinen ; Iiro, Hartimo

Author_Institution

Signal Processing & Comput. Technol. Lab., Helsinki Univ. of Technol., Espoo, Finland

Volume

4

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1630

Abstract

A heart sound segmentation algorithm, which separates the heart sound signal into four parts (the first heart sound, the systolic period, the second heart sound and the diastolic period), has been developed. The algorithm uses discrete wavelet decomposition and reconstruction to produce intensity envelopes of approximations and details of the original phonocardiographic signal. The performance of the algorithm has been evaluated using 1165 cardiac periods from 77 digital phonocardiographic recordings including normal and abnormal heart sounds. The algorithm has been shown to perform correctly in over 93% of cases

Keywords

echocardiography; medical signal processing; signal reconstruction; wavelet transforms; algorithm performance; approximations; auscultation; diastolic period; digital phonocardiographic recordings; heart murmurs; heart sound segmentation algorithm; intensity envelopes; normalized average Shannon energy; phonocardiographic signal; systolic period; wavelet decomposition; wavelet reconstruction; Acoustic noise; Cardiology; Electrocardiography; Frequency; Heart; Laboratories; Pathology; Performance analysis; Signal processing algorithms; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.757028

Filename

757028