Development of Electronic Stethoscope and Digital Signal Processing of Heart Pulses Using Fourier Transform, Wavelet Decomposition and K-Means Clustering
Ninik Nurrizqi, BS Thesis, Dept. of Physics, University of Indonesia, 2009
Conventional stethoscope as medical equipment is too simple to diagnose the condition of a patient. Object observation using a stethoscope usually is at the heart. Heart beat sound gives information about the condition of the heart.
Observation technique is usually called by auscultation. Problems that often arise in heart auscultation using conventional stethoscope are noises from the environment, the listener’s ear sensitivity, relatively same heart sound and the
absence of data that can be stored for future use and further analysis. In this work, an electronic stethoscope is developed and used to record digital data of heart pulses from a number of patients. From the result heart signal it can be
differentiated the signal patterns of normal from abnormal heart. Signal processing using Fouriertransformation analysis, Wavelet decomposition and K Means clustering are used to analyzed the pattern of normal and abnormal hearts.
Keywords: auscultation, wavelete decomposition, fourier transformation, k means clustering