Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14235
Title: Acoustic diagnosis of aortic stenosis
Authors: SUN ZHANYU
Keywords: Aortic Stenosis, Phonocardiogram, Breath Noise, Multi-peak Detection, Time-frequency, Spectral Analysis
Issue Date: 17-Aug-2004
Source: SUN ZHANYU (2004-08-17). Acoustic diagnosis of aortic stenosis. ScholarBank@NUS Repository.
Abstract: A multi-peak detection algorithm is developed to process the phonocardiogram (PCG) signals with the time-frequency methods. Based on the PCG signal, four indicators are produced to predict the severity of the Aortic Stenosis (AS). 64 subjects are classified into three groups of different severities of AS using the four indicators. An agreement rate of 78% with the echocardiographic diagnosis is achieved by the proposed acoustical methods. The influence of the breath noise on the systolic PCG signal is also studied. It is found that the breath noise mainly contaminates the low-frequency content of the systolic PCG signal below 60Hz and the acoustical diagnosis should be done under the normal breathing condition.
URI: http://scholarbank.nus.edu.sg/handle/10635/14235
Appears in Collections:Master's Theses (Open)

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