DocumentCode :
505081
Title :
Automatic heart sound analysis for tele-cardiac auscultation
Author :
Yuenyong, Sumeth ; Kongpravechnon, Waree ; Tungpimolrut, Kanokwech ; Nishihara, Akinori
Author_Institution :
Sirindhorn Int. Inst. of Technol., Thammasat Univ., Pathumthani, Thailand
fYear :
2009
fDate :
18-21 Aug. 2009
Firstpage :
1599
Lastpage :
1604
Abstract :
This paper presents heart sound signal processing that is a part of an automatic tele-auscultation system. Segmentation of the heart sound is performed using ECG signal as reference. Feature vector is constructed for each cardiac cycle by analyzing the systole and diastole of each cycle by applying discrete wavelet transform. Features are classified using pattern recognition neural network. The study incorporates four types of valve-related cardiac disorder that are normally diagnosed by auscultation: aortic regurgitation, aortic stenosis, mitral regurgitation and mitral stenosis. The result shows that for limited set of heart sounds, correct classification can be achieved.
Keywords :
bioacoustics; discrete wavelet transforms; electrocardiography; feature extraction; medical signal processing; pattern recognition; signal classification; ECG signal; aortic regurgitation; aortic stenosis; automatic heart sound analysis; diastole; discrete wavelet transform; feature classification; mitral regurgitation; mitral stenosis; pattern recognition neural network; signal processing; sound segmentation; systole; telecardiac auscultation; valve-related cardiac disorder; Acoustic signal processing; Band pass filters; Discrete wavelet transforms; Electrocardiography; Feature extraction; Heart valves; Hospitals; Neural networks; Robots; Stethoscope; automatic auscultation; heart murmur; heart sound analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
Type :
conf
Filename :
5335223
Link To Document :
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