Paper
9 April 2020 Maintaining attention state of children during cognitive load
Vadim V. Grubov, Vladimir A. Maksimenko, Semen A. Kurkin, Marina V. Khramova, Alexander E. Hramov
Author Affiliations +
Proceedings Volume 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 114590A (2020) https://doi.org/10.1117/12.2564349
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation
Abstract
We analyzed EEG signals of children recorded during specific cognitive task - Schulte test. We analyzed behavioural characteristics - time intervals required for subject to find each consecutive number in table as well as frequency characteristics of EEG signal calculated with help of continuous wavelet transform considering the wavelet energies averaged over alpha and beta frequency ranges. We also performed statistical analysis of these characteristics with help of ANOVA to find features that can be used to evaluate level of attention and its dynamics during elementary task completion.
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Vadim V. Grubov, Vladimir A. Maksimenko, Semen A. Kurkin, Marina V. Khramova, and Alexander E. Hramov "Maintaining attention state of children during cognitive load", Proc. SPIE 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 114590A (9 April 2020); https://doi.org/10.1117/12.2564349
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KEYWORDS
Electroencephalography

Wavelets

Statistical analysis

Brain

Continuous wavelet transforms

Electrodes

Time-frequency analysis

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