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3 June 2015 Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis
Yury V. Kistenev, Alexander I. Karapuzikov, Nadezhda Yu Kostyukova, Marina K. Starikova, Andrey A. Boyko, Ekaterina B. Bukreeva, Anna A. Bulanova, Dmitry B. Kolker, Dmitry A. Kuzmin, Konstantin G. Zenov, Alexey A. Karapuzikov
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Journal of Biomedical Optics, Vol. 20, Issue 6, 065001 (June 2015). https://doi.org/10.1117/1.JBO.20.6.065001
Abstract
A human exhaled air analysis by means of infrared (IR) laser photoacoustic spectroscopy is presented. Eleven healthy nonsmoking volunteers (control group) and seven patients with chronic obstructive pulmonary disease (COPD, target group) were involved in the study. The principal component analysis method was used to select the most informative ranges of the absorption spectra of patients’ exhaled air in terms of the separation of the studied groups. It is shown that the data of the profiles of exhaled air absorption spectrum in the informative ranges allow identifying COPD patients in comparison to the control group.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2015/$25.00 © 2015 SPIE
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Yury V. Kistenev, Alexander I. Karapuzikov, Nadezhda Yu Kostyukova, Marina K. Starikova, Andrey A. Boyko, Ekaterina B. Bukreeva, Anna A. Bulanova, Dmitry B. Kolker, Dmitry A. Kuzmin, Konstantin G. Zenov, and Alexey A. Karapuzikov "Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis," Journal of Biomedical Optics 20(6), 065001 (3 June 2015). https://doi.org/10.1117/1.JBO.20.6.065001
Published: 3 June 2015
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Cited by 22 scholarly publications.
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KEYWORDS
Absorption
Chronic obstructive pulmonary disease
Gas lasers
Principal component analysis
Carbon monoxide
Optical parametric oscillators
Photoacoustic spectroscopy
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