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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Bibliographic Details
Published in:	Scientific reports Vol. 8; no. 1; pp. 10087 - 12
Main Authors:	Halme, Hanna-Leena, Parkkonen, Lauri
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 04.07.2018 Nature Publishing Group
Subjects:	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
Online Access:	Get full text
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