DocumentCode
614512
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
fYear
2013
fDate
16-19 April 2013
Firstpage
305
Lastpage
309
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Nanotechnology (ELNANO), 2013 IEEE XXXIII International Scientific Conference
Conference_Location
Kiev
Print_ISBN
978-1-4673-4669-6
Type
conf
DOI
10.1109/ELNANO.2013.6552090
Filename
6552090
Link To Document