Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air

Yu. V. Kistenev; A. V. Shapovalov; D. A. Vrazhnov; V. V. Nikolaev

doi:10.1117/12.2249139

29 November 2016 Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air

Yu. V. Kistenev, A. V. Shapovalov, D. A. Vrazhnov, V. V. Nikolaev

Proceedings Volume 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 100350A (2016) https://doi.org/10.1117/12.2249139
Event: XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2016, Tomsk, Russian Federation

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.

Citation Download Citation

Yu. V. Kistenev, A. V. Shapovalov, D. A. Vrazhnov, and V. V. Nikolaev "Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air", Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100350A (29 November 2016); https://doi.org/10.1117/12.2249139

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