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IEEE.Changes.In.Fatigue.And.EEG.Amplitude.During.A.Longtime.
.Use.Of.Brain-Computer.Interface.2019.RETAiL.eBook-iDiB

PACKS________: idib-cifbc
RELEASE DATE_: 2019.07.28
YEAR_________: 2019
LANGUAGE_____: English
RELEASE SIZE_: 0 Mb - 01 files
PAGES________: 3

SOURCE_______: https://ieeexplore.ieee.org/document/8737306
PROTECTION___: DRM(removed)
FORMAT_______: .pdf

ISBN CODE____: 978-1-5386-8116-9
GENRE________: Scientific papers

NOTES________: Enjoy

PLOT_________: Abstract: Long duration usage of BCI systems
may induce a loss of attention in the
participant and result in a decrease of
system performance. Therefore, investigation
of fatigue during longtime usage and its
effect on the signal quality are necessary
for the use of BCI systems in daily life. In
this study, 54 participants used BCI systems
for about five hours, and it included the
three major BCI paradigms. Participants
conducted each paradigm once again at the end
of the experiment. We investigated how
fatigue changes as the experiment progresses
and report the effect of fatigue on signal
quality by comparing the first and second
sessions. In the result, a significant
increase was seen in questionnaire scores as
well as in alpha-band power in the resting
state. The signal quality decreased slightly
in the MI and SSVEP paradigms, but the
amplitude of the P300 in the ERP paradigm
increased.

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