The analysis of phonocardiographic signals based on higher-order spectra

Author

Minfen, Shen ; Fenglin, Shen

Author_Institution

Dept. of Sci. Res., Shantou Univ., Guangdong, China

Volume

1

fYear

1996

fDate

14-18 Oct 1996

Firstpage

568

Abstract

This paper investigates the problem for the phonocardiographic cardiographic signal processing by employing the third-order cumulant. The non-Gaussian AR model is proposed to model the signals. The cumulant-based third-order recursion is employed to decide the model parameters for understanding the properties of PCG signals in the bifrequency domain. Moreover, to test the performance of the PCG signal with the background noise, some signals with different SNR are analyzed for the bispectral estimation. The results are exhibited and analyzed to show the effectiveness of the methods based on higher-order spectra

Keywords

autoregressive processes; echocardiography; frequency-domain analysis; higher order statistics; medical signal processing; noise; parameter estimation; patient diagnosis; spectral analysis; PCG signal performance; PCG signals; SNR; background noise; bifrequency domain; bispectral estimation; cumulant based third-order recursion; higher-order spectra; model parameters; nonGaussian AR model; phonocardiographic cardiographic signal processing; phonocardiographic signal analysis; signal model; third-order cumulant; Background noise; Cardiography; Fourier transforms; Gaussian processes; Heart; Performance analysis; Signal analysis; Signal processing; Signal to noise ratio; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.567328

Filename

567328