MULTISENSORY LEARNING SYSTEM FOR NON-INVASIVE DETERMINATION OF THE FUNCTIONAL STATE OF THE BODY IN EXTREME CONDITIONS

Author:

Zaitseva A.1,Kislyakov Y.1,Avduschenko S.2

Affiliation:

1. Institute for Analytical Instrumentation of the Russian Academy of Sciences

2. Medical Military Academy

Abstract

The project is implementing a new principle of non-invasive diagnostics and biomedical research using an artificial, multi-sensory, trained analytical system to monitor the professional fitness of military personnel in terms of exhaled air condensate, in which significant metabolic products are present. The results of the studies show that the subjects are divided into groups of different adaptability and sensitivity to extreme conditions. The proposed method based on the multi-sensory trained diagnostic system allows non-invasive instrumental control and selection of spe- cialists for their functioning in extreme conditions of high mountains.

Funder

Government Council on Grants, Russian Federation

Publisher

CO LTD "EXPO-BIOHIM-TEXNOLOGIES"

Subject

General Medicine

Reference6 articles.

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2. 2. Kislyakova L.P., Bulyanitsa A.L., Kislyakov Yu.Ya., Gulyaev V.I. Assessment of the functional state of a person during physical exertion according to the expiratory condensate recorded by multiselective electrochemical sensors using projection methods of multivariate analysis // Scientific Instrument Making. - 2016 .-- No. 26 (2) .- P.37-47.

3. 3. Kislyakova L.P., Kislyakov Yu.Ya., Zaiceva A.Yu., Gulyaev V.I. Multisensory educational system "Electronic tongue" for the diagnosis of the functional state of the human body on the characteristics of exhaled breath condensate. Physiological Journal 2013, vol. 59, No. 4, p. 99-102.

4. 4. Kislyakov Yu.Ya., Zaitseva A.Yu., Kislyakova L.P. Non-invasive analysis of the oxygen supply of human tissues during exercise according to the indicators of multiselective optical sensors // Fundamental aspects of mental health. - 2018. - No. 3. - S. 91-95.

5. 5. Kislyakova L.P., Zaitseva A.Yu., Kislyakov Yu.Ya. Non-invasive analysis of oxygen supply for motor activity of the hand according to indicators recorded by a poly-selective optical system // Natural and Technical Sciences. - 2018. - No. 12. - C. 318-324.

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