Literature DB >> 11059167

Nonlinear transient chirp signal modeling of the aortic and pulmonary components of the second heart sound.

J Xu1, L G Durand, P Pibarot.   

Abstract

This paper 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 (rho) between the original and the synthesized signal components were: NRMSE = 2.1 +/- 0.3% and rho = 0.97 +/- 0.02 for A2 and NRMSE = 2.52 +/- 0.5% and rho = 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.

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Year:  2000        PMID: 11059167     DOI: 10.1109/10.871405

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

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Authors:  J Xu; L-G Durand; P Pibarot
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8.  Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings.

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9.  Detection of the valvular split within the second heart sound using the reassigned smoothed pseudo Wigner-Ville distribution.

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10.  Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm.

Authors:  Hongxing Luo; Philip Westphal; Mehrdad Shahmohammadi; Luuk I B Heckman; Marion Kuiper; Richard N Cornelussen; Tammo Delhaas; Frits W Prinzen
Journal:  Physiol Rep       Date:  2021-01
  10 in total

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