Detection of EEG-patterns associated with real and imaginary movements using detrended fluctuation analysis

Alexey N. Pavlov; Anastasiya E. Runnova; Vladimir A. Maksimenko; Daria S. Grishina; Alexander E. Hramov

doi:10.1117/12.2291878

13 February 2018 Detection of EEG-patterns associated with real and imaginary movements using detrended fluctuation analysis

Alexey N. Pavlov, Anastasiya E. Runnova, Vladimir A. Maksimenko, Daria S. Grishina, Alexander E. Hramov

Author Affiliations +

Proceedings Volume 10493, Dynamics and Fluctuations in Biomedical Photonics XV; 1049315 (2018) https://doi.org/10.1117/12.2291878
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Authentic recognition of specific patterns of electroencephalograms (EEGs) associated with real and imagi- nary movements is an important stage for the development of brain-computer interfaces. In experiments with untrained participants, the ability to detect the motor-related brain activity based on the multichannel EEG processing is demonstrated. Using the detrended fluctuation analysis, changes in the EEG patterns during the imagination of hand movements are reported. It is discussed how the ability to recognize brain activity related to motor executions depends on the electrode position.

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Alexey N. Pavlov, Anastasiya E. Runnova, Vladimir A. Maksimenko, Daria S. Grishina, and Alexander E. Hramov "Detection of EEG-patterns associated with real and imaginary movements using detrended fluctuation analysis", Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 1049315 (13 February 2018); https://doi.org/10.1117/12.2291878

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