Nonlinear characteristics of wheezes as seen in the wavelet higher-order spectra domain

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

4506

Lastpage

4509

Abstract

The aim of this study was to capture and analyze the nonlinear characteristics of asthmatic wheezes, reflected in the quadrature phase coupling of their harmonics, as they evolve over time within the breathing cycle. To achieve this, the continuous wavelet transform was combined with third-order statistics/spectra. Wheezes from diagnosed asthmatic patients were drawn from a lung 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 wheeze nonlinearities with time

Keywords

higher order statistics; lung; pneumodynamics; spectral analysis; time-frequency analysis; wavelet transforms; asthmatic wheezes; breathing cycle; continuous wavelet transform; lung sound database; quadrature phase coupling; third-order statistics; time-frequency domain analysis; wavelet higher-order spectra domain analysis; wheeze harmonics; wheeze nonlinear characteristics; Continuous wavelet transforms; Couplings; Data analysis; Databases; Harmonic analysis; Higher order statistics; Lungs; Performance analysis; Wavelet domain; 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.2006.259291

Filename

4462803