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Analysis of exhaled air of patients with myocardial infarction by laser spectroscopy and data mining Y. V. Kistenev, A. V. Borisov, D. A. Kuzmin, A. G. Syrkina

Contributor(s): Borisov, Alexey V, 1980- | Kuzmin, Dmitry A | Syrkina, Anna G | Kistenev, Yury VMaterial type: ArticleArticleContent type: Текст Media type: электронный Subject(s): инфаркт миокарда | выдыхаемый воздух | лазерная фотоакустическая спектроскопия | интеллектуальный анализ данныхGenre/Form: статьи в журналах Online resources: Click here to access online In: Proceedings of SPIE Vol. 10685 : Biophotonics: Photonic solutions for better health care VI. P. 1068511-1-1068511-7Abstract: 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 based on the ECG recording or specific biomarkers identifying in the patient's blood, the most specific of which are: creatine phosphokinase (CPK), CPK-MB, fatty acids binding protein (H-FABP), myoglobin troponin-I, and troponin-T. Additionally to these biomarkers in the MI patients’ blood, there are many other products of metabolism in damaged muscles, which are excreted from the body human body, including through exhaled air. The results of MI patients’ exhaled air analysis using photoacoustic laser spectroscopy and data mining are presented.
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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 based on the ECG recording or specific biomarkers identifying in the patient's blood, the most specific of which are: creatine phosphokinase (CPK), CPK-MB, fatty acids binding protein (H-FABP), myoglobin troponin-I, and troponin-T. Additionally to these biomarkers in the MI patients’ blood, there are many other products of metabolism in damaged muscles, which are excreted from the body human body, including through exhaled air. The results of MI patients’ exhaled air analysis using photoacoustic laser spectroscopy and data mining are presented.

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