3 June 2015 Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis
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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)
Yury V. Kistenev, Yury V. Kistenev, Alexander I. Karapuzikov, Alexander I. Karapuzikov, Nadezhda Yu Kostyukova, Nadezhda Yu Kostyukova, Marina K. Starikova, Marina K. Starikova, Andrey A. Boyko, Andrey A. Boyko, Ekaterina B. Bukreeva, Ekaterina B. Bukreeva, Anna A. Bulanova, Anna A. Bulanova, Dmitry B. Kolker, Dmitry B. Kolker, Dmitry A. Kuzmin, Dmitry A. Kuzmin, Konstantin G. Zenov, Konstantin G. Zenov, Alexey A. Karapuzikov, 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 . Submission:
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