PCG signal analysis using teager energy operator & autocorrelation function

Abstract

PCG signal got a great interest during the last few years due to the huge progress in digital signal processing methods and hardware. It is required to enhance the doctor's skill to improve their diagnoses for detecting heart diseases. In this work Teager energy operator and autocorrelation function are investigated to analyze the PCG signal and extract different parameters such as S1-Systole and S2-Diastole signals their timing, and heart rate estimation. Different numerical formulations of Teager energy operator are investigated to extract the single cardiac cycle, where the formula with best result is suggested. Then the autocorrelation function is applied to estimate the different timing of the extracted single cardiac cycle. The results were very optimistic, and the proposed framework could be an automatic analysis procedure of PCG that may be implemented in real time for classification of PCG. All signals are acquired by MP-36 of BIOPAC Systems, Inc.