[Systems analysis of polyparametrical syndromes in students under study-induced stress].
In addition to routine physical examinations, the polyparametrical method was used to examine 250 students to assess their health. For this, the methods of pattern discrimination and classification were employed to analyze multiparameter data. Clinical and polymetric findings correlated well. The polymetric method revealed 4 main classes of the students' functional and autonomic status. Autonomic changes can be systemic and local. The visualized data of objective functional parameters controlled by the autonomic system made it possible to give a syndromal assessment of functional states and to reveal the intermediate stage between health and disease.
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D000222:Adaptation, Physiological / Q000502:physiology*; D000328:Adult; D000465:Algorithms; D001341:Autonomic Nervous System / Q000503:physiopathology; D001831:Body Temperature; D003627:Data Interpretation, Statistical; D004562:Electrocardiography; D005260:Female; D006439:Hemodynamics; D006801:Humans; D007858:Learning / Q000502:physiology*; D008297:Male; D012129:Respiratory Function Tests; D013315:Stress, Psychological / Q000175:diagnosis* / Q000503:physiopathology; D013334:Students; D013577:Syndrome