Issue 3 (189), article 5
Kibern. vyčisl. teh., 2017, Issue 3 (189), pp.
Shvets A.V.1, Dr (Medicine), Senior Researcher,
Head of Research Department of Special Medicine and Psychophysiology of Research Institute of Military Medicine of Ukrainian Military Medical Academy
Kich A.Y.2, PhD (Medicine),
Head of Military Medical Clinical Center of Occupational Pathology
1Research Institute of Military Medicine of Ukrainian Military Medical Academy,
04655, Ukraine, Kiev, Melnikova Str. 24
2Military Medical Clinical Center of Occupational Pathology of Servicemen
of Ukrainian Armed Forces, 08203, Ukraine, Kyiv region, Irpin. 11-line Str. 1.
THE DECISION SUPPORT MODEL FOR FORE-CASTING OF WOUNDED AND SICK RESTORATION IN HOSPITAL CONDITIONS BASED ON PSYCHOPHYSIOLOGICAL DATA
Introduction. The psychological unpreparedness, non-coping fear with the responsibilities, feeling guilt to the dead, striving to survive in terms of destruction and deaths of others, extreme strain of duty, violations of food recreation and other harmful factors of duty undoubtedly reduce the human adaptive reserves and lead to non-constructive changes of behaviors and disadaptation syndrome that need their assessment for further rehabilitation treatment requirement.
The purpose of the study is to elaborate the decision support model for medical recovery assessment by estimation of functional state of wounded and sick persons during their treatment in hospital conditions to substantiate the necessity of a further rehabilitation.
Materials and methods. There were selected two groups of 25–45 ages’ men: I group — 30 persons that got mild traumatic brain injury (mTBI) during the 2014–2015 years and had comorbid somatic pathology, the II group — 30 people who had only therapeutic pathology. The assessment of functional state (FS) was based on heart rate variability (HRV) and electroencephalography (EEG) data before and after their rehabilitation treatment.
Results. The features of patients recovering based on the study of EEG and HRV characteristics were significantly worse according to the functional state (FS) of individuals that had mTBI (only 23,3 % of positive dynamics) comparing with others (83,4 %;
p < 0,001). There were described structural features of three types of EEG phenomena, which occur in patients with mTBI. The analysis of interrelations of EEG and HRV data additionally confirms a slow recovery of FS of patients with mTBI. The physiological value of FS regulation was the highest among individuals that had mTBI.
Conclusions. The decision support model for assessment of human recovery potential by evaluation of functional state of wounded and sick persons allows quantitatively predict the need for further rehabilitation after the hospital treatment. It was shown that application of EEG and HRV hardware during rehabilitation of combatants in hospital conditions allows to evaluate a specific morphological defects and the degree of human rehabilitation potential.
Keywords: rehabilitation potential, participants in anti-terrorist operations, functional state, heart rate variability, electroencephalography
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