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Automatic Heart Sound Analysis for Tele-Cardiac Auscultation
Sumeth Yuenyong,Waree Kongpravechnon,Kanokwech Tungpimolrut,Akinori Nishihara 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
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