Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air Y. V. Kistenev, A. V. Shapovalov, D. A. Vrazhnov, V. V. Nikolaev
Material type:
ArticleSubject(s): спектры поглощения выдыхаемого воздуха | Кальмана фильтр | больные с бронхо-легочными заболеваниямиGenre/Form: статьи в журналах Online resources: Click here to access online
In:
Proceedings of SPIE Vol. 10035 : 22nd International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, 30 June – 03 July 2016, Tomsk, Russian Federation. P.100350A-1-100350A-6Abstract: 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.
Библиогр.: 14 назв.
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.
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