Research Papers: General

Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis

[+] Author Affiliations
Yury V. Kistenev

Siberian State Medical University, Medico-Biological Faculty, Physics Department, Moscowski Trakt 2, Tomsk 634050, Russia

Tomsk State University, University Administration, 36 Lenina Avenue, Tomsk 634050, Russia

Alexander I. Karapuzikov, Nadezhda Yu. Kostyukova, Marina K. Starikova, Andrey A. Boyko, Konstantin G. Zenov, Alexey A. Karapuzikov

Special Technologies Ltd., Zeljonaja Gorka Street 1/3, Novosibirsk 630060, Russia

Ekaterina B. Bukreeva, Anna A. Bulanova, Dmitry A. Kuzmin

Siberian State Medical University, Medico-Biological Faculty, Physics Department, Moscowski Trakt 2, Tomsk 634050, Russia

Dmitry B. Kolker

Special Technologies Ltd., Zeljonaja Gorka Street 1/3, Novosibirsk 630060, Russia

Novosibirsk State University, 2 Pirogova Street, Novosibirsk 630090, Russia

J. Biomed. Opt. 20(6), 065001 (Jun 03, 2015). doi:10.1117/1.JBO.20.6.065001
History: Received December 25, 2014; Accepted May 12, 2015
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Yury V. Kistenev ; Alexander I. Karapuzikov ; Nadezhda Yu. Kostyukova ; Marina K. Starikova ; Andrey A. Boyko, et al.
"Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis", J. Biomed. Opt. 20(6), 065001 (Jun 03, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.6.065001


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