Universiti Teknologi Malaysia Institutional Repository

Heart Sound Analysis Using MFCC and Time Frequency Distribution

Ismail, Kamarulafizam and Salleh, Sh. Hussain and J., M. Najeb and Arif, A. K. and Chowdhury, A. (2006) Heart Sound Analysis Using MFCC and Time Frequency Distribution. In: World Engineering Congress on Biomedical Engineering and Medical Physics , 27 August - 1 September 2006, Soeul, Korea.

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Official URL: http://www.ieee.org/conferences_events/conferences...


This paper presents heart sound analysis method based on Time-Frequency Distribution (TFD) analysis and Mel Frequency Cepstrum Coefficient (MFCC). TFD represents the heart sound in term of time and frequency simultaneously which while the MFCC defines a signal in term of frequency coefficient corresponding to the Mel filter scale. There are 100 normal data and 100 data with disease obtained from the hospital which consists of various kinds of problems including mitral regurgitation and stenosis, tricuspid regurgitation and stenosis, ventricular septal defect and other structural related disease. B-Distribution is chosen from a number of time-frequency analysis methods due its capability to represent the signal in the most efficient way in term of noise and cross term reduction. The advantage of MFCC is that it is good in error reduction and able to produce a robust feature when the signal is affected by noise. SVD/PCA technique is used to extract the important features out of the B-Distribution representation. The coefficient obtained from SVD-PCA and MFCC is later used for classification Artificial Neural Network. The results show that the system is able to produce the accuracy up to 90.0% using the TFD and 80.0% using the MFCC.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Heart Sound, Time Frequency Analysis, Mel-Frequency Cepstrum Coefficient, Singular Value Decomposition, Principle Component Analysis, Artificial Neural Network
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:2132
Deposited By: Dr Zaharuddin Mohamed
Deposited On:28 Mar 2007 06:56
Last Modified:30 Sep 2017 02:02

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