Title :
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
fDate :
Aug. 30 2006-Sept. 3 2006
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;
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.2006.259619
