Study of EEG characteristics during the observation of an educational material

Nikita S. Frolov; Vladimir O. Nedajvozov; Vadim V. Grubov; Anastasija E. Runnova; Roman A. Kulanin

doi:10.1117/12.2527696

3 June 2019 Study of EEG characteristics during the observation of an educational material

Nikita S. Frolov, Vladimir O. Nedajvozov, Vadim V. Grubov, Anastasija E. Runnova, Roman A. Kulanin

Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 1106702 (2019) https://doi.org/10.1117/12.2527696
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation

Abstract

In this paper we applied analysis of multivariate time series for detection of changes in functional relations in brain during observation of educational material. Applied method is based on definition of mutual interdependence of processes and is known as Recurrent Measure of Dependence. In the paper we analyzed multichannel EEG signals obtained during experiments with observation of educational material by human subjects. We applied the method to EEG signals and showed qualitative changes in brain dynamics during educational process in comparison to dynamics of background activity.

Citation Download Citation

Nikita S. Frolov, Vladimir O. Nedajvozov, Vadim V. Grubov, Anastasija E. Runnova, and Roman A. Kulanin "Study of EEG characteristics during the observation of an educational material", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 1106702 (3 June 2019); https://doi.org/10.1117/12.2527696

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available