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4 results on '"выдыхаемый воздух"'

1. Analysis of exhaled air of patients with myocardial infarction by laser spectroscopy and data mining

Author

Yury V. Kistenev, Alexey V. Borisov, Anna G. Syrkina, and Dmitry A. Kuzmin

Subjects
0301 basic medicine, Necrosis, лазерная фотоакустическая спектроскопия, computer.software_genre, 01 natural sciences, 010309 optics, Contractility, 03 medical and health sciences, chemistry.chemical_compound, интеллектуальный анализ данных, 0103 physical sciences, medicine, Myocyte, Myocardial infarction, biology, business.industry, Metabolism, medicine.disease, Exhaled air, инфаркт миокарда, 030104 developmental biology, Myoglobin, chemistry, biology.protein, Creatine kinase, Data mining, medicine.symptom, business, выдыхаемый воздух, computer
Abstract

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.

Published
2018

2. Breath air measurement using wide-band frequency tuning IR laser photo-acoustic spectroscopy

Author

Dmitry A. Kuzmin, Anna A. Bulanova, Yury V. Kistenev, Nadezhda Y. Kostyukova, A. A. Karapuzikov, Alexey V. Borisov, and Andrey A. Boyko

Subjects
Materials science, Ir laser, Context (language use), молекулярные биомаркеры, 01 natural sciences, фотоакустическая спектроскопия, спектры поглощения выдыхаемого воздуха, 03 medical and health sciences, 0302 clinical medicine, Nuclear magnetic resonance, Optics, рак легких, Wide band, Spectroscopy, Photoacoustic spectroscopy, business.industry, 010401 analytical chemistry, Exhaled air, Molecular biomarkers, 0104 chemical sciences, 030228 respiratory system, лазерная спектроскопия, Photo acoustic, хроническая обструктивная болезнь легких, business, выдыхаемый воздух
Abstract

The results of measuring of biomarkers in breath air of patients with broncho-pulmonary diseases using wide-band frequency tuning IR laser photo-acoustic spectroscopy and the methods of data mining are presented. We will discuss experimental equipment and various methods of intellectual analysis of the experimental spectra in context of above task. The work was carried out with partial financial support of the FCPIR contract No 14.578.21.0082 (ID RFMEFI57814X0082).

Published
2016

3. Applications of principal component analysis to breath air absorption spectra profiles classification

Author

Denis A. Vrazhnov, O. Y. Nikiforova, Yu. V. Kistenev, Viktor V. Nikolaev, A. V. Shapovalov, and Alexey V. Borisov

Subjects
Absorption spectroscopy, Chemistry, business.industry, Quantitative Biology::Tissues and Organs, Physics::Medical Physics, Analytical chemistry, Experimental data, Pattern recognition, Principal component analysis, Artificial intelligence, легочные заболевания, business, Absorption (electromagnetic radiation), выдыхаемый воздух, спектральный анализ, Pulmonary disorders
Abstract

The results of numerical simulation of application principal component analysis to absorption spectra of breath air of patients with pulmonary diseases are presented. Various methods of experimental data preprocessing are analyzed.

Published
2015

4. Analysis of the component composition of exhaled air using laser spectroscopy and canonical correlation analysis

Author

A. V. Shapovalov, Olga Yu. Nikiforova, Yury V. Kistenev, Alexey V. Borisov, and Томский государственный университет Физический факультет Кафедра теоретической физики

Subjects
спектры поглощения, Basis (linear algebra), Absorption spectroscopy, Component (thermodynamics), Chemistry, Analytical chemistry, лазерная спектроскопия, HITRAN, Canonical correlation, Linear combination, Spectroscopy, Absorption (electromagnetic radiation), выдыхаемый воздух
Abstract

Canonical correlation analysis is adapted to the problem of determining the concentration of molecular components contained in samples of exhaled air. To solve this problem dealt with model spectra in form of linear combination of the absorption spectra of molecular components with unknown coefficients. The absorption spectra were calculated on the basis of databases HITRAN, HITEMP, GEISA. Application of canonical correlation analysis allows us to represent the spectrum of the mixture in the form of a vector whose coordinates are the proportion of the individual components in the mixture.

Published
2015

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