DocumentCode
1778509
Title
Application of bispectrum analysis to lung sounds in patients with the chronic obstructive lung disease
Author
Poreva, Anna ; Karplyuk, Yevgeniy ; Makarenkova, Anastasiia ; Makarenkov, Anatolii
Author_Institution
Phys. & Biomed. Electron. Dept., Nat. Tech. Univ. of Ukraine, Kiev, Ukraine
fYear
2014
fDate
15-18 April 2014
Firstpage
306
Lastpage
309
Abstract
The main goal of the paper s the identification of the most important informative characteristics of lung sounds, defining auscultatory, diagnostic signs at sick by the chronic obstructive lung disease (COLD). The basis of the proposed method is polyspectral analysis. The iterative bispectrum analysis technique of lung sounds was developed, which based on calculation nonparametric bispectrum (direct and indirect methods) and parametrical bispectrum. The proposed method can be used in addition by pulmonologists for identification of COLD at patients.
Keywords
acoustic signal processing; bioacoustics; diseases; lung; medical signal processing; patient diagnosis; pneumodynamics; auscultatory diagnostic signs; chronic obstructive lung disease; iterative bispectrum analysis application; lung sounds; nonparametric bispectrum calculation; polyspectral analysis; pulmonologists; Computers; Conferences; Couplings; Diseases; Harmonic analysis; Lungs; Nanotechnology; COLD; bispectrum; lung sounds; parametric bispectrum;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Nanotechnology (ELNANO), 2014 IEEE 34th International Conference on
Conference_Location
Kyiv
Print_ISBN
978-1-4799-4581-8
Type
conf
DOI
10.1109/ELNANO.2014.6873902
Filename
6873902
Link To Document