DocumentCode :
2700563
Title :
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
Link To Document :
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