Применение машинного обучения для диагностики некоторых социально значимых заболеваний по выдыхаемому человеком воздуху методом инфракрасной лазерной спектроскопии
Published in Оптика и спектроскопия • Jan 1, 2023
Authors:,,
И.С. Голяк
П.В. Бережанский
Aleksandra Sedova
Abstract
The infrared spectra of the air exhaled by several groups of volunteers were studied: those suffering from type 1 diabetes, bronchial asthma, and pneumonia. To record infrared spectra, a tunable quantum-cascade laser (QCL) was used. QCL emits in the wavelength range from 5.3 to 12.8 μm in a pulsed m...
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