FIELD: medicine.
SUBSTANCE: parameters of frequency of electroencephalogram (EEG) alpha-oscillations, the peak-to-peak amplitude of the cognitive evoked P300 potential, the mean frequency of the tapping test, and the mean square deviation of the heart rate variability (HRV). Then, using the regression equation of the form y=-25+2.0* frequency of EEG alpha-oscillations -0.07* peak-to-peak amplitude of the cognitive evoked P300 +0.69* frequency of the tapping test +0.04* mean square deviation of the HRV and logit transformation P=ey/(1-ey), the probability of hitting the researched group of patients with epilepsia or group of practically healthy persons is determined.
EFFECT: method allows to conduct express diagnostics.
2 tbl
Title | Year | Author | Number |
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METHOD OF DETERMINING PECULIARITIES OF EPILEPSIA COURSE BASING ON PHYSIOLOGICAL INDICATORS BY METHOD OF LOGIT-REGRESSION ANALYSIS | 2016 |
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EPILEPSY DIAGNOSTICS METHOD BASED ON SET OF ELECTROENCEPHALOGRAPHIC INDICATORS, CHARACTERISTICS OF EXOGENOUS AND COGNITIVE EVOKED POTENTIALS, MOTOR AND AUTONOMIC PROVISION ACTIVITIES USING ARTIFICIAL NEURAL NETWORKS TECHNOLOGY | 2016 |
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METHOD FOR PREDICTING PERFORMANCE OF THE SIMULATED COGNITIVE ACTIVITIES ON THE BASIS OF COMPLEX PHYSIOLOGICAL PARAMETERS AND LOGIT REGRESSION ANALYSIS | 2016 |
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Authors
Dates
2017-12-01—Published
2016-11-21—Filed