title: Psychovegetative syndrome diagnosis: an automated psychophysiological investigation and mathematical modeling approach.
abstract: 1. INTRODUCTION. The main purpose of our work was to create the informational expert system of psychovegetative syndrome diagnosis by applying clinical data and estimating the functioning of the central and peripheral part of regulatory apparatus of the human organism, taking into consideration parallel and consecutive sensory, motor, associative, emotional drive systems, and internal body state. We used automatized psychophysiological investigation and mathematical models. For this purpose the following principal tasks have been prepared: the creation of database of quantifiable estimation patient state; the definition and automation of psychophysiological investigation; mathematical modeling of vegetative functions using a non-invasive sample and its connection with real psychophysiological experiment; mathematical modeling of organisms inner medium homeostasis; and the creation of an informational-expert system of psychovegetative syndrome diagnosis. 2. DATABASE OF ESTIMATION OF PATIENTS STATE. The medical records of the DB "PATIENT" contain data on patient psychic and somatoneurological status. 3. AUTOMATED PSYCHOPHYSIOLOGICAL INVESTIGATION. Psychophysiological investigation enables estimation of the functioning of several subsystems of the human organism and establishes an interrelationship between them by means of electrophysiological data and performance parameters. The study of psychophysiological provision of behavior by psychophysiological investigation enables us to get information about adaptational mechanisms of the patient under certain environmental loads. By means of special mathematical provision, the mathematical elaboration of biosignals as performance parameters has been realized; also realized were the formation of received parameters in the database, the estimation of separated parameters in the view of informativity, and the establishment of diagnostic patterns. 4. MATHEMATICAL MODELS FOR ESTIMATION INTERNAL BODY STATE. The proposed mathematical models allow investigation of homeostatic regulation in various intensities of the metabolic processes and external load. This approach in mathematical models allows us to characterize the relations between the central and peripheral parts of the regulatory mechanisms, using non-invasive samples under psychophysiological investigation and the simulation of different surroundings for brain cells functioning. 5. INFORMATION-EXPERT SYSTEM. Proceeding from the principle of psychoneural unity, we characterized the functioning mechanisms of CNS by means of automatized EEG analysis, visually evoked potential analysis, estimated psychic status, and the characteristics of neural system biochemical processes received by mathematical modeling. By using the indices of the viscero-vegetative and somatolocomotor system (as well as parameters received by automatized analysis of ECG), the EEG respiratory signal--from mathematical models of vegetative functions decision support system applied in estimation of a peripheral block of the regulatory system--is reflected in diagnosis of certain syndromes. The informational expert system, proceeding from the functioning of the human organism's regulatory apparatus, diagnosed psychovegetative syndrome and described the mechanisms of its development. 6. CONCLUSION. The informational expert system enables estimation of the functioning of a human organism as a whole and can be introduced in the sphere of practical medicine and professional orientation as well as in laboratories of experimental psychology and neurosciences.
authors.affiliation: Scientific-Production Centre of Genetic Ecology, 51, I.Dzavachishvili str 380002, Tbilisi, Republic of Georgia.
authors.forename: Z
authors.initials: Z
authors.lastname: Brelidze
authors.forename: Z
authors.initials: Z
authors.lastname: Samadashvili
authors.forename: G
authors.initials: G
authors.lastname: Khachapuridze
authors.forename: E
authors.initials: E
authors.lastname: Kubaneishvili
authors.forename: Z
authors.initials: Z
authors.lastname: Nozadze
authors.forename: I
authors.initials: I
authors.lastname: Benidze
authors.forename: N
authors.initials: N
authors.lastname: Tsitskishvili
mesh_terms: D001921:Brain / Q000503:physiopathology; D003936:Diagnosis, Computer-Assisted; D004569:Electroencephalography; D005074:Evoked Potentials, Visual; D005103:Expert Systems; D006706:Homeostasis / Q000502:physiology; D006801:Humans; D008954:Models, Biological; D018458:Persistent Vegetative State / Q000175:diagnosis* / Q000503:physiopathology