Title :
Nonlinear transient chirp signal modeling of the aortic and pulmonary components of the second heart sound
Author :
Xu, Jingping ; Durand, Louis-Gilles ; Pibarot, Philippe
Author_Institution :
Lab. de Genie Biomed., Inst. de Recherches Cliniques de Montreal, Que., Canada
Abstract :
Describes a new approach based on the time-frequency representation of transient nonlinear chirp signals for modeling the aortic (A2) and the pulmonary (P2) components of the second heart sound (S2). It is demonstrated that each component is a narrow-band signal with decreasing instantaneous frequency defined by its instantaneous amplitude and its instantaneous phase. Each component Is also a polynomial phase signal, the instantaneous phase of which can be accurately represented by a polynomial having an order of thirty. A dechirping approach is used to obtain the instantaneous amplitude of each component while reducing the effect of the background noise. The analysis-synthesis procedure is applied to 32 isolated A2 and 32 isolated P2 components recorded in four pigs with pulmonary hypertension. The mean ± standard deviation of the normalized root-mean-squared error (NRMSE) and the correlation coefficient (ρ) between the original and the synthesized signal components were: NRMSE=2.1±0.3% and ρ=0.97±0.02 for A2 and NRMSE=2.52±0.5% and ρ=0.96±0.02 for P2. These results confirm that each component can be modeled as mono-component nonlinear chirp signals of short duration with energy distributions concentrated along its decreasing instantaneous frequency.
Keywords :
acoustic signal processing; bioacoustics; blood vessels; cardiology; lung; medical signal processing; physiological models; polynomials; time-frequency analysis; analysis-synthesis procedure; aortic components; background noise; correlation coefficient; decreasing instantaneous frequency; digital phonocardiography; energy distribution; hypertension; monocomponent nonlinear chirp signals; nonlinear transient chirp signal modeling; normalized root-mean-squared error; pigs; polynomial phase signal; pulmonary components; second heart sound; time-frequency representation; transient nonlinear chirp signals; Arteries; Background noise; Chirp; Heart valves; Hypertension; Narrowband; Polynomials; Signal synthesis; Time frequency analysis; Vibrations; Animals; Aortic Valve; Fourier Analysis; Heart Sounds; Humans; Hypertension, Pulmonary; Least-Squares Analysis; Pulmonary Valve; Signal Processing, Computer-Assisted; Swine;
Journal_Title :
Biomedical Engineering, IEEE Transactions on