IDENTIFICATION OF THE PATTERN OF HUMAN HEART BEAT SOUND SIGNAL USING WAVELET ANALYSIS

Abstract

This thesis work aimed at identification of the Pattern of Human Heart Beat Sound Signal Using Wavelet Analysis. It examined the scales of the sound due to abnormal heart sounds (heart murmur) to differentiate the normal heart beat from the abnormal heart sounds (systolic and diastolic murmurs) of age group 15-30 year. The time waveforms, the time-frequency and the scalogram of each of the sounds were plotted using the data collected from Hiwot Fana Specialized University Hospital. A continuous wavelet transform (CWT) algorithm is used for analyzing the abnormality of heart sound signals. The time-frequency contour map is also introduced into abnormality identification of the pattern of the human heart sound. The contour maps measured from a normal heart beat sound scalogram contains low energy distribution mostly around 26 to 46Hz. The scalogram of the sound signal from aortic stenosis of heart murmur contains low to high energy distribution and major sound energy frequency around 21 to 36Hz. The major sound energy of mitral stenosis heart murmur scalogram was produced around frequency of 21 to 46Hz with low energy to high energy distribution.