Title :
Differentiation of moist fine rales and crackles by polyspectral analysis
Author :
Poreva, Anna ; Fesechko, Vladimir
Author_Institution :
Phys. & Biomed. Electron. Dept., Nat. Tech. Univ. of Ukraine, Kiev, Ukraine
Abstract :
The problem of moist fine rales (MFR) and crackles differentiation is considered. New method MFR and crackles separation, based on polyspectral analysis, is proposed. In this method bispectrum is calculated at first and bifrequency corresponding to the maximal spectral amplitude is detected. The specific frequency bands for MFR and crackles are identified. If the frequency is in the uncertainty zone, then parametric bispectrum is calculated. This method allows us to separate MFR from crackles for more accurate diagnosis.
Keywords :
diseases; medical signal processing; patient diagnosis; spectral analysis; MFR; crackles differentiation; crackles separation; frequency bands; moist fine rales differentiation; parametric bispectrum; polyspectral analysis; respiratory disease diagnosis; spectral amplitude; Conferences; Diseases; Estimation; Lungs; Nanotechnology; bispectrum; crackles; moist fine rules; parametric bispectrum;
Conference_Titel :
Electronics and Nanotechnology (ELNANO), 2013 IEEE XXXIII International Scientific Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4673-4669-6
DOI :
10.1109/ELNANO.2013.6552090
