Time-varying third-order cumulant spectra and its application to the analysis and diagnosis of phonocardiogram

Author

Shen, Minfen ; Shen, Fenglin

Author_Institution

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

fYear

1997

fDate

21-23 Jul 1997

Firstpage

24

Lastpage

28

Abstract

Time-varying third-order cumulant spectra for analyzing phonocardiographic signals has been proposed as an effective tool to detect and quantity the temporal quadratic nonlinear interactions. The cumulant-based Wigner bispectra (CWB) are applied to investigate the nonstationarity and non-Gaussianity of both actual normal and clinical phonocardiograms. Significant time-varying bispectral structure is found and discussed. It is expected to use the Wigner bispectra in the understanding of the heart sound mechanism and the improvement of the assistant diagnosis of some heart diseases

Keywords

Wigner distribution; acoustic signal processing; bioacoustics; cardiology; higher order statistics; medical signal processing; patient diagnosis; spectral analysis; clinical phonocardiograms; cumulant-based Wigner bispectra; diagnosis; heart diseases; heart sound; nonGaussianity; nonstationarity; normal phonocardiograms; phonocardiogram; temporal quadratic nonlinear interactions; time-varying bispectral structure; time-varying third-order cumulant spectra; Autocorrelation; Cardiac disease; Cardiology; Heart; History; Pathology; Signal analysis; Signal processing; Statistical analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on

Conference_Location

Banff, Alta.

Print_ISBN

0-8186-8005-9

Type

conf

DOI

10.1109/HOST.1997.613480

Filename

613480