Title :
A heart sound segmentation and feature extraction algorithm using wavelets
Author :
Omran, Sherif ; Tayel, Mazhar
Author_Institution :
Fac. of Eng., Alexandria Univ.
Abstract :
A heart sound segmentation and feature extraction algorithm, which separates the heart sound signal into four parts: the first heart sound S1, the systolic period, the second heart sound S2, and the diastolic period. A features extraction algorithm has been developed. The algorithm uses discrete wavelet decomposition and reconstruction to produce approximations and details of the original phonocardiographic signal
Keywords :
biological techniques; cardiology; feature extraction; image reconstruction; image segmentation; medical image processing; wavelet transforms; auscultation; diastolic period; discrete wavelet decomposition; feature extraction; first heart sound; heart sound segmentation; heart sound signal; image reconstruction; image segmentation; normalized Shannon entropy; phonocardiographic signal; second heart sound; systolic period; wavelet reconstruction; Blood; Discrete wavelet transforms; Electrocardiography; Entropy; Feature extraction; Frequency; Health and safety; Heart valves; Sampling methods; Veins; auscultation; diastolic period; feature; first heart sound; murmurs; normalized shannon entropy; phonocardiography; second heart sound; segmentation; systolic period; wavelet decomposition; wavelet reconstruction;
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
Conference_Location :
Cairo
Print_ISBN :
0-7803-8294-3
DOI :
10.1109/MWSCAS.2003.1562301