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Proceedings Paper

Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air
Author(s): Yu. V. Kistenev; A. V. Shapovalov; D. A. Vrazhnov; V. V. Nikolaev
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Paper Abstract

We examined possibilities of the Kalman filter for reducing the noise effects in the analysis of absorption spectra of gas samples, in particular, for samples of the exhaled air. It has been shown that when comparing groups of patients with broncho-pulmonary diseases on the basis of the absorption spectra analysis of exhaled air samples the data preprocessing with the Kalman filtering can improve the classification sensitivity using a support vector kernel with mpl.

Paper Details

Date Published: 29 November 2016
PDF: 6 pages
Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100350A (29 November 2016); doi: 10.1117/12.2249139
Show Author Affiliations
Yu. V. Kistenev, National Research Tomsk State Univ. (Russian Federation)
A. V. Shapovalov, National Research Tomsk State Univ. (Russian Federation)
D. A. Vrazhnov, Tomsklabs PTE LTD (Russian Federation)
V. V. Nikolaev, Tomsklabs PTE LTD (Russian Federation)


Published in SPIE Proceedings Vol. 10035:
22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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