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| Extraction of Aortic and Pulmonary Components from Second Heart Sound |
1 Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
2 Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, China |
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Abstract An extraction method based on simulated annealing (SA) algorithm was proposed to estimate the aortic valve component (A component) and pulmonary valve component (P component) from a second heart sound (S2). It was assumed that both A and P components are subject to envelope modulated chirp model. Each component was characterized by 9 parameters. A S2 signal is thus represented by 18 parameters in total. Under mean squared error (MSE) criterion, the optimal parameters of A component and P component were estimated by using SA algorithm. The A and P components were then reconstructed. Simulation results showed that, the MSEs of reconstructed A and P components are less than 1% and 8% for noise-free condition; the MSEs were less than 1.5% and 10% for -15 dB additive Gaussian white noise condition. In further applications, A and P components are extracted from S2 signals of 10 subjects. The end timing and start timing of reconstructed A and P components were further verified by the dicrotic notches for 2 subjects.
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