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dc.contributor.authorKistenev, Yury V.-
dc.contributor.authorBorisov, Alexey V.-
dc.contributor.authorKuzmin, Dmitry A.-
dc.contributor.authorPenkova, Olga V.-
dc.contributor.authorKostyukova, Nadezhda-
dc.contributor.authorKarapuzikov, Alexey A.-
dc.date.accessioned2022-03-31T03:02:55Z-
dc.date.available2022-03-31T03:02:55Z-
dc.date.issued2017-01-25-
dc.identifier.urihttps://doi.org/10.1117/1.JBO.22.1.017002-
dc.identifier.urihttp://hdl.handle.net/20.500.12701/1763-
dc.description.abstractThe 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.ru_RU
dc.language.isoenru_RU
dc.publisherSPIE.ru_RU
dc.relation.ispartofseriesJOURNAL OF BIOMEDICAL OPTICS;Volume 22, Issue 1-
dc.subjectChronic obstructive pulmonary diseaseru_RU
dc.subjectPhotoacoustic spectroscopyru_RU
dc.subjectGas lasersru_RU
dc.subjectBiological researchru_RU
dc.subjectAbsorptionru_RU
dc.subjectStatistical analysisru_RU
dc.subjectInfrared lasersru_RU
dc.subjectLung cancerru_RU
dc.subjectDiagnosticsru_RU
dc.subjectOptical parametric oscillatorsru_RU
dc.titleExhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopyru_RU
dc.typeArticleru_RU
Располагается в коллекциях:Journal of Biomedical Optics

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