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

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Bulletin of the Russian Academy of Sciences: Physics Aims and scope

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.

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Funding

This work was supported by the RF Ministry of Education and Science as part of State Task no. FSRR-2020-0003.

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Authors and Affiliations

  1. Saratov National Research State University, 410012, Saratov, Russia

    A. O. Selskii, M. O. Zhuravlev, A. E. Runnova & E. P. Emelyanova

  2. Saratov State Medical University, 410000, Saratov, Russia

    A. E. Runnova

Authors
  1. A. O. Selskii
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  2. M. O. Zhuravlev
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  3. A. E. Runnova
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  4. E. P. Emelyanova
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Corresponding author

Correspondence to A. O. Selskii.

Additional information

Translated by A. Khaitin

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Selskii, A.O., Zhuravlev, M.O., Runnova, A.E. et al. Using Recurrence Analysis to Determine Individual Characteristics According to an EEG of the Human Brain. Bull. Russ. Acad. Sci. Phys. 85, 108–111 (2021). https://doi.org/10.3103/S1062873821010226

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  • DOI: https://doi.org/10.3103/S1062873821010226

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