25 January 2017 Exhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopy
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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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yury V. Kistenev, Yury V. Kistenev, Alexey V. Borisov, Alexey V. Borisov, Dmitry A. Kuzmin, Dmitry A. Kuzmin, Olga V. Penkova, Olga V. Penkova, Nadezhda Kostyukova, Nadezhda Kostyukova, Alexey A. Karapuzikov, Alexey A. Karapuzikov, } "Exhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopy," Journal of Biomedical Optics 22(1), 017002 (25 January 2017). https://doi.org/10.1117/1.JBO.22.1.017002 . Submission: Received: 26 July 2016; Accepted: 4 January 2017
Received: 26 July 2016; Accepted: 4 January 2017; Published: 25 January 2017
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