Dynamics Analysis of Heart Sound Signal by Sample Entropy Fast Algorithm

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Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (11) : 115-118.

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Dynamics Analysis of Heart Sound Signal by Sample Entropy Fast Algorithm

WANG Xin-pei1; YANG Jing2; LI Yuan-yang1; LIU Chang-chun1; LI Li-ping1

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Abstract

The diastolic heart sound analysis method based on sample entropy fast algorithm was proposed to exactly describe the change of hemodynamic character caused by coronary artery stenosis. Firstly, the heart sound signal was preprocessed by wavelet to eliminate the respiratory interference. Then, the diastolic segments were segmented automatically using segmentation algorithm based on 3-order Shannon entropy. Finally, the average sample entropy of diastolic heart sounds was estimated by sample entropy fast algorithm. The nonlinear dynamical analysis (sample entropy) measures of the diastolic heart sounds recorded from 25 normal subjects and 25 patients with coronary artery disease (CAD) were estimated. Results show that there are significant differences on the sample entropy values between subjects with and without CAD. This method led to a sensitivity of 80% and a specificity of 84%.

Key words

heart sound signal / sample entropy / coronary artery disease (CAD) / nonlinear dynamics analysis

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WANG Xin-pei;YANG Jing;LI Yuan-yang;LIU Chang-chun;LI Li-ping. Dynamics Analysis of Heart Sound Signal by Sample Entropy Fast Algorithm[J]. Journal of Vibration and Shock, 2010, 29(11): 115-118