Title :
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
fDate :
Aug. 30 2006-Sept. 3 2006
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259291
