Electroencephalograms during Mental Arithmetic Task Performance

被引:129
作者
Zyma, Igor [1 ]
Tukaev, Sergii [2 ,3 ,4 ]
Seleznov, Ivan [5 ,6 ]
Kiyono, Ken [7 ]
Popov, Anton [5 ,6 ]
Chernykh, Mariia [8 ]
Shpenkov, Oleksii [1 ]
机构
[1] Natl Taras Shevchenko Univ Kyiv, Inst Biol & Med, Educ & Sci Ctr, Dept Physiol & Anat, UA-01601 Kiev, Ukraine
[2] Natl Taras Shevchenko Univ Kyiv, Dept Physiol Brain & Psychophysiol, Educ & Sci Ctr, Inst Biol & Med, UA-01601 Kiev, Ukraine
[3] Natl Taras Shevchenko Univ Kyiv, Inst Journalism, Dept Social Commun, UA-01601 Kiev, Ukraine
[4] Natl Univ Phys Educ & Sports Ukraine, Sci Res Inst, Lab Theory & Method Sport Preparat & Reserve Capa, UA-03150 Kiev, Ukraine
[5] Natl Tech Univ Ukraine, Dept Elect Engn, Igor Sikorsky Kyiv Polytech Inst, UA-03056 Kiev, Ukraine
[6] Ciklum, R&D Engn, London WC1A 2TH, England
[7] Osaka Univ, Grad Sch Engn Sci, Div Bioengn, Osaka 5608531, Japan
[8] Taras Shevchenko Natl Univ Kyiv, Inst Biol & Med, Educ & Sci Ctr, Dept Biophys & Med Informat, UA-01601 Kiev, Ukraine
关键词
EEG; mental arithmetic; cognitive workload; COGNITIVE NEUROSCIENCE; EEG COHERENCE; PASSIVE BCI; STRESS;
D O I
10.3390/data4010014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work has been carried out to support the investigation of the electroencephalogram (EEG) Fourier power spectral, coherence, and detrended fluctuation characteristics during performance of mental tasks. To this aim, the presented dataset contains International 10/20 system EEG recordings from subjects under mental cognitive workload (performing mental serial subtraction) and the corresponding reference background EEGs. Based on the subtraction task performance (number of subtractions and accuracy of the result), the subjects were divided into good counters and bad counters (for whom the mental task required excessive efforts). The data was recorded from 36 healthy volunteers of matched age, all of whom are students of Educational and Scientific Centre "Institute of Biology and Medicine", National Taras Shevchenko University of Kyiv (Ukraine); the recordings are available through Physiobank platform. The dataset can be used by the neuroscience research community studying brain dynamics during cognitive workload.
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页数:6
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