Signal analysis (instantaneous energy and frequency) of heart sounds and heart murmurs / Saiful Azhar Mat Saad

The objective of this project is to analyse the characteristic of heart sound and heart murmurs using signal processing techniques for common heart diseases. There are several signal analysis techniques, but the techniques will be applied to heart sound data in this project is Instantaneous Energy (IE) and Instantaneous Frequency (IF) by using Central Finite Difference Frequency Estimation (CFDFE). The present technique among the physician to examine the condition of patient heart sound is using an instrument called stethoscope. The effectiveness of this technique depends largely on skills, experiences and the hearing ability of a physician. From the study of the characteristic of human heart sound and ability of human hearing, it is seen that only highly trained ears may differentiate between normal and pathological heart sound. The specifïcs purpose of this research is to identify and develop the suitable and accurate technique to detect, distinguish and classify between normal heart sound and murmurs. This analysis is based on a set of 101 simulated data that represents several classes of heart sound. After the parameters of the heart sounds and murmurs are extracted, the rule-based method is employed to classify the heart sounds and murmurs based on the 7 predetermined heart classes. The graph from the result will be analysed and classifïed into normal heart sound or pathological murmurs. All analysis is done using MATLAB® mathematical software. The Central Finite Difference Frequency Estimation (CFDFE) techniques is the best method to differentiate between the normal and pathological heart sound. So by using this new technique, it hopes that the normal and pathological heart sound can be easily differentiated without risk to the patient.