Nonlinear analysis of heart murmurs using wavelet-based higher-order spectral parameters

Author

Taplidou, Styliani A. ; Hadjileontiadis, Leontios J.

Author_Institution

Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

4502

Lastpage

4505

Abstract

The aim of this study was to reveal and analyze the nonlinear characteristics of heart sounds, reflected in the quadrature phase coupling of the contained frequencies, as they evolve over time. To achieve this, the continuous wavelet transform was combined with third-order statistics/spectra in order to analyze their non Gaussian character, taking into account their non-stationarity. Heart sounds from patients with several pathologies that exhibit murmurs were drawn from a heart sound database and analyzed in the time-bi-frequency domain. The analysis results justified the efficient performance of this combinatory approach to reveal and quantify the evolution of heart murmurs nonlinearities with time

Keywords

cardiology; medical signal processing; statistical analysis; time-frequency analysis; wavelet transforms; combinatory approach; continuous wavelet transform; heart sound database; non Gaussian character; nonlinear analysis; nonlinear characteristics; normalized heart sound signal analysis technique; quadrature phase coupling; third-order statistics-spectra; time-bi-frequency domain; wavelet-based higher-order spectral parameter; Continuous wavelet transforms; Couplings; Databases; Frequency; Heart; Higher order statistics; Pathology; Statistical analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259619

Filename

4462802