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METHOD OF DETERMINING PECULIARITIES OF EPILEPSIA COURSE BASING ON PHYSIOLOGICAL INDICATORS BY METHOD OF LOGIT-REGRESSION ANALYSIS

机译:回归分析法确定基于生理指标的癫痫病程的特殊性

摘要

FIELD: medicine.;SUBSTANCE: indicators are determined: frequency of alpha-oscillations and crosscorrelation function of electroencephalogram, inter-peak amplitude N75P100 of the visual evoked potential, inter-peak amplitude N2P3 of the cognitive evoked potential P300, as well as indicators of the time of simple visual motor reaction and the mean square deviation of the heart rate variability, recorded in patients under epilepsy standard conditions. Using the regression equation, which has the form y=-5.57+0.86* and the logit transformation P=ey/(1-ey) determine the likelihood of a patient with epilepsy falling into one of the groups characterising patients with a favourable or adverse course of epilepsy.;EFFECT: method helps to increase the reliability of diagnosis of the course of epilepsy, which is achieved through the use of the above physiological indicators and their mathematical transformation.;2 tbl
机译:领域:医学;实体:确定指标:脑电图的α振动频率和互相关函数,视觉诱发电位的峰间振幅N75P100,认知诱发电位P300的峰间振幅N2P3以及在癫痫标准条件下记录的患者的简单视觉运动反应时间和心率变异性的均方差。使用形式为y = -5.57 + 0.86 *的回归方程和对数变换P = e y /(1-e y )确定a的可能性癫痫患者属于特征性癫痫病程的组之一;效果:该方法有助于提高癫痫病程诊断的可靠性,这是通过使用上述生理指标及其数学转换。; 2汤匙

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