Using Recurrence Analysis to Determine Individual Characteristics According to an EEG of the Human Brain

被引：0
|
作者：
Selskii A.O. [1 ]
Zhuravlev M.O. [1 ]
Runnova A.E. [1 ,2 ]
Emelyanova E.P. [1 ]
机构：
[1] Saratov National Research State University, Saratov
[2] Saratov State Medical University, Saratov
来源：
Bulletin of the Russian Academy of Sciences: Physics | 2021年 / 85卷 / 01期
关键词：
13;
D O I：
10.3103/S1062873821010226
中图分类号：
学科分类号：
摘要：
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. © 2021, Allerton Press, Inc.
引用
收藏
页码：108 / 111
页数：3
相关论文
共 50 条
  • [41] Explore the Brain Response to Naturalistic and Continuous Music Using EEG Phase Characteristics
    Li, Jie
    Ji, Hongfei
    Gu, Rong
    Hou, Lusong
    Zhang, Zhicheng
    Wu, Qiang
    Lu, Rongrong
    Li, Maozhen
    INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2016, PT I, 2016, 9771 : 294 - 305
  • [42] Neonatal EEG signal characteristics using time frequency analysis
    Abdulla, Waleed
    Wong, Lisa
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (06) : 1096 - 1110
  • [43] Analysis of Human Motion Data Using Recurrence Plots and Recurrence Quantification Measures
    Josinski, Henryk
    Michalczuk, Agnieszka
    Mucha, Romualda
    Switonski, Adam
    Szczesna, Agnieszka
    Wojciechowski, Konrad
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2016, PT II, 2016, 9622 : 397 - 406
  • [44] Chemical analysis of individual brain nuclei microdissected in the Human Brain Tissue Bank, Budapest: concentrations of endocannabinoids in the human brain
    Palkovits, M.
    Kunos, G.
    JOURNAL OF NEURAL TRANSMISSION, 2006, 113 (06) : V - V
  • [45] CHARACTERISTICS OF INTERHEMISPHERIC EEG INTERRELATIONS IN ESTIMATION OF THE HUMAN-BRAIN FUNCTIONAL-STATE
    BOLDYREVA, GN
    ZHAVORONKOVA, LA
    ZHURNAL VYSSHEI NERVNOI DEYATELNOSTI IMENI I P PAVLOVA, 1989, 39 (02) : 215 - 220
  • [46] Parcellation of the human amygdala using recurrence quantification analysis
    Bielski, Krzysztof
    Adamus, Sylwia
    Kolada, Emilia
    Raczaszek-Leonardi, Joanna
    Szatkowska, Iwona
    NEUROIMAGE, 2021, 227
  • [47] Efficiency analysis of voluntary control of human's EEG spectral characteristics
    Kiroy, Valery N.
    Aslanyan, Elena V.
    Lazurenko, Dmitry M.
    Minyaeva, Nadezhda R.
    Bakhtin, Oleg M.
    JOURNAL OF INTEGRATIVE NEUROSCIENCE, 2016, 15 (01) : 97 - 108
  • [48] Decoding Individual Finger Movements from One Hand Using Human EEG Signals
    Liao, Ke
    Xiao, Ran
    Gonzalez, Jania
    Ding, Lei
    PLOS ONE, 2014, 9 (01):
  • [49] Shortest path based network analysis to characterize cognitive load states of human brain using EEG based functional brain networks
    Thilaga, M.
    Ramasamy, Vijayalakshmi
    Nadarajan, R.
    Nandagopal, D.
    JOURNAL OF INTEGRATIVE NEUROSCIENCE, 2018, 17 (02) : 133 - 148
  • [50] Using recurrence plot for determinism analysis of EEG recordings in genetic absence epilepsy rats
    Ouyang, Gaoxiang
    Li, Xiaoli
    Dang, Chuangyin
    Richards, Douglas A.
    CLINICAL NEUROPHYSIOLOGY, 2008, 119 (08) : 1747 - 1755
12345