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

A.N. Pavlov, A.E. Runnova, V.A. Maksimenko, O.N. Pavlova, D.S. Grishina and A.E. Hramov

Physica A: Statistical Mechanics and its Applications, 2018, vol. 509, issue C, 777-782

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.

Keywords: Detrended fluctuation analysis; Long-range correlations; Patterns; Electroencephalogram (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:509:y:2018:i:c:p:777-782

DOI: 10.1016/j.physa.2018.06.096

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