Analytical Multisensory Trainable System for Diagnosing Vocational Aptitude of Military Medical Specialists by Ion Content in the Expired Breath Condensate
A new principle of non-invasive diagnostics and biomedical research has been implemented using artificial analytical multisensory trainable system for assessing and monitoring the human functional state by non-invasive methods based on integral electrochemical and optical parameters
of liquid and gaseous media of the body (exhaled air, condensate, etc.). The results of biomedical tests in a military personnel group show that the subjects are divided into groups of different adaptability and sensitivity to extreme conditions. The proposed method based on the multisensory
trainable diagnostic system allows for the selection and non-invasive instrumental control over the vocational aptitude of specialists of hazardous occupations for their functioning in extreme conditions.
Keywords: Artificial Multisensory System; Expired Breath Condensate Indicators; Human Functional State; Non-Invasive Diagnostics; Polyselective Sensor; Principal Component Analysis (PCA); Trainable System
Document Type: Research Article
Affiliations: 1: Institute for Analytical Instrumentation, Russian Academy of Sciences, 190103, St. Petersburg, Russia 2: S.M. Kirov Military Medical Academy, 194044, St. Petersburg, Russia
Publication date: 01 November 2019
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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