Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects

Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects

One of the most significant challenges in the application of brain-computer interfaces (BCI) is the large performance variation, which often occurs over time or across users. Recent evidence suggests that the physiological states may explain this performance variation in BCI, however, the underlying...

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Bibliographic Details
Main Authors: Han, Y. (Author), Lin, J. (Author), Wang, Y. (Author), Xu, K. (Author), Yao, L. (Author), Zhou, Q. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
adult
algorithm
alpha rhythm
Article
brain rhythms
classification
correlational study
electroencephalogram
female
gamma rhythm
human
imagery
male
measurement accuracy
mental performance
motor imagery
neurophysiology
normal human
performance variation
relative power
supplementary motor area
support vector machine
task performance
theta rhythm
young adult
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