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Proceedings Paper

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

Paper Details

Date Published: 13 February 2018
PDF: 5 pages
Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 1049315 (13 February 2018); doi: 10.1117/12.2291878
Show Author Affiliations
Alexey N. Pavlov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Saratov State Univ. (Russian Federation)
Anastasiya E. Runnova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Vladimir A. Maksimenko, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Daria S. Grishina, Saratov State Univ. (Russian Federation)
Alexander E. Hramov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)


Published in SPIE Proceedings Vol. 10493:
Dynamics and Fluctuations in Biomedical Photonics XV
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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