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Detrended fluctuation analysis of EEG patterns associated with real and imaginary arm movements

Author

Listed:
  • Pavlov, A.N.
  • Runnova, A.E.
  • Maksimenko, V.A.
  • Pavlova, O.N.
  • Grishina, D.S.
  • Hramov, A.E.

Abstract

Based on the detrended fluctuation analysis (DFA), we address the problem of recognizing the electrical activity of the brain associated with movements of the right arm and the imagination of this procedure. In experiments with untrained volunteers, we show the possibility to distinguish between the related EEG patterns. We also demonstrate significant distinctions in the scaling features between background records and EEG signals associated with mental intentions that can be transformed to control commands for brain–computer interfaces. This effect is observed in many EEG channels, although individual features of subjects provided various distributions of brain areas with the most prominent differences.

Suggested Citation

  • Pavlov, A.N. & Runnova, A.E. & Maksimenko, V.A. & Pavlova, O.N. & Grishina, D.S. & Hramov, A.E., 2018. "Detrended fluctuation analysis of EEG patterns associated with real and imaginary arm movements," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 777-782.
    • Handle: RePEc:eee:phsmap:v:509:y:2018:i:c:p:777-782
    DOI: 10.1016/j.physa.2018.06.096
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    Citations

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    Cited by:

    1. Li, Jianhui & Li, Qiaozhi & Wang, Fang & Liu, Fan, 2022. "Hyperspectral redundancy detection and modeling with local Hurst exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    2. Pavlov, A.N. & Grishina, D.S. & Runnova, A.E. & Maksimenko, V.A. & Pavlova, O.N. & Shchukovsky, N.V. & Hramov, A.E. & Kurths, J., 2019. "Recognition of electroencephalographic patterns related to human movements or mental intentions with multiresolution analysis," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 230-235.
    3. Pavlov, A.N. & Pavlova, O.N. & Koronovskii, A.A. & Hramov, A.E., 2018. "Effect of measuring noise on scaling characteristics in the dynamics of coupled chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 106-113.
    4. Filho, F.M. Oliveira & Ribeiro, F.F. & Cruz, J.A. Leyva & de Castro, A.P. Nunes & Zebende, G.F., 2023. "Statistical study of the EEG in motor tasks (real and imaginary)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).

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