Across-subject offline decoding of motor imagery from MEG and EEG

Long calibration time hinders the feasibility of brain-computer interfaces (BCI). If other subjects’ data were used for training the classifier, BCI-based neurofeedback practice could start without the initial calibration. Here, we compare methods for inter-subject decoding of left- vs. right-hand m...

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Vydané v:	Scientific reports Ročník 8; číslo 1; s. 10087 - 12
Hlavní autori:	Halme, Hanna-Leena, Parkkonen, Lauri
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 04.07.2018 Nature Publishing Group
Predmet:	631/378 631/443/376 Accuracy Adult Algorithms Brain-Computer Interfaces Calibration EEG Electroencephalography - methods Feedback Female Hand - physiology Humanities and Social Sciences Humans Imagery, Psychotherapy - methods Interfaces Magnetoencephalography - methods Male Mental task performance Movement - physiology multidisciplinary Neurofeedback - physiology Science Science (multidisciplinary) Training
ISSN:	2045-2322, 2045-2322
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