Paper
3 June 2019 Separation between real and imaginary movements from multichannel EEG signals
Author Affiliations +
Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 110670F (2019) https://doi.org/10.1117/12.2521736
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation
Abstract
We discuss the ability to recognize the electrical activity of the brain associated with the movements of the hands/legs and imagination of such movements. Conducting experiments with a group of untrained volunteers, we show that real and imaginary movements are clearly detected using the scaling exponent of the detrended fluctuation analysis for the majority of EEG channels (usually 28-31 out of 33). Although this ability is shown regardless of the type of movements, the case of leg movements provided a slightly higher recognition results. This conclusion is supported by numerical estimations based on two quantitative measures.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daria S. Grishina, Olga N. Pavlova, Yasir Kh. Mohammad, Anastasiya E. Runnova, Alexey N. Pavlov, and Alexander E. Hramov "Separation between real and imaginary movements from multichannel EEG signals", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670F (3 June 2019); https://doi.org/10.1117/12.2521736
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Electroencephalography

Motion analysis

Brain

Brain-machine interfaces

Data processing

Pattern recognition

RELATED CONTENT


Back to Top