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
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;
Conference_Titel :
Electronics and Nanotechnology (ELNANO), 2014 IEEE 34th International Conference on
Conference_Location :
Kyiv
Print_ISBN :
978-1-4799-4581-8
DOI :
10.1109/ELNANO.2014.6873902