Электронная библиотека (репозиторий) Томского государственного университета

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Add   Application of machine learning and laser optical-acoustic spectroscopy to study the profile of exhaled air volatile markers of acute myocardial infarction
Authors: Borisov, Alexey V. | Syrkina, Anna G. | Kuzmin, Dmitry A. | Ryabov, Vyacheslav V. | Boyko, Andrey A. | Zakharova, Olga A. | Zasedatel, Vyacheslav S. | Kistenev, Yury V.
Source: Journal of breath research. 2021. Vol. 15, № 2. P. 027104 (1-15)
Type: статьи в журналах
Date: 2021
Description: Conventional acute myocardial infarction (AMI) diagnosis is quite accurate and has proved its effectiveness. However, despite this, discovering more operative methods of this disease detection is unde ... More
Add   Searching for ST-segment elevation myocardial infarction markers by absorption spectra analysis of exhaled air samples
Authors: Syrkina, Anna G. | Ryabov, Vyacheslav V. | Borisov, Alexey V. | Zakharova, O. A. | Kistenev, Yury V.
Source: European heart journal: Acute cardiovascular care. 2021. Vol. 10, suppl. № 1. P. i103
Type: статьи в журналах
Date: 2021
Add   Analysis of exhaled air of patients with myocardial infarction by laser spectroscopy and data mining
Authors: Borisov, Alexey V. | Kuzmin, Dmitry A. | Syrkina, Anna G. | Kistenev, Yury V.
Source: Proceedings of SPIE. 2018. Vol. 10685 : Biophotonics: Photonic solutions for better health care VI. P. 1068511-1-1068511-7
Type: статьи в журналах
Date: 2018
Description: Myocardial infarction (MI) causes partial or complete necrosis of the heart muscle. It means that muscle cells are wiped, and the contractility of the heart decreases. Today, for the MI diagnosis is b ... More
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