Research Papers: Sensing

Exhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopy

[+] Author Affiliations
Yury V. Kistenev, Alexey V. Borisov, Dmitry A. Kuzmin

National Research Tomsk State University, 36 Lenin Avenue, Tomsk 634050, Russia

Siberian State Medical University, 2 Moscovsky Trakt, Tomsk 634050, Russia

Olga V. Penkova

National Research Tomsk State University, 36 Lenin Avenue, Tomsk 634050, Russia

Nadezhda Y. Kostyukova, Alexey A. Karapuzikov

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

J. Biomed. Opt. 22(1), 017002 (Jan 25, 2017). doi:10.1117/1.JBO.22.1.017002
History: Received July 26, 2016; Accepted January 4, 2017
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Abstract.  The infrared laser photoacoustic spectroscopy (LPAS) and the pattern-recognition-based approach for noninvasive express diagnostics of pulmonary diseases on the basis of absorption spectra analysis of the patient’s exhaled air are presented. The study involved lung cancer patients (N=9), patients with chronic obstructive pulmonary disease (N=12), and a control group of healthy, nonsmoking volunteers (N=11). The analysis of the measured absorption spectra was based at first on reduction of the dimension of the feature space using principal component analysis; thereafter, the dichotomous classification was carried out using the support vector machine. The gas chromatography–mass spectrometry method (GC–MS) was used as the reference. The estimated mean value of the sensitivity of exhaled air sample analysis by the LPAS in dichotomous classification was not less than 90% and specificity was not less than 69%; the analogous results of analysis by GC–MS were 68% and 60%, respectively. Also, the approach to differential diagnostics based on the set of SVM classifiers usage is presented.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Yury V. Kistenev ; Alexey V. Borisov ; Dmitry A. Kuzmin ; Olga V. Penkova ; Nadezhda Y. Kostyukova, et al.
"Exhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopy", J. Biomed. Opt. 22(1), 017002 (Jan 25, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.1.017002


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