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Using Recurrence Analysis to Determine Individual Characteristics According to an EEG of the Human Brain
Bulletin of the Russian Academy of Sciences: Physics Pub Date : 2021-03-16 , DOI: 10.3103/s1062873821010226
A. O. Selskii , M. O. Zhuravlev , A. E. Runnova , E. P. Emelyanova

Abstract

A way of using recurrence analysis to determine individual differences is developed using EEG data from subjects performing series of movements. The procedure is based on analyzing repeated activities to determine channels with patterns or increased frequency. The results from applying the technique to experimental data are presented.



中文翻译:

使用递归分析根据人脑的脑电图确定个体特征

摘要

使用来自执行一系列运动的受试者的EEG数据,开发了一种使用递归分析确定个体差异的方法。该程序基于对重复活动的分析,以确定具有模式或频率增加的频道。给出了将该技术应用于实验数据的结果。

更新日期:2021-03-16
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