A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update
Most current electroencephalography (EEG)-based brain-computer interfaces (BCIs) are based on machine learning algorithms. There is a large diversity of classifier types that are used in this field, as described in our 2007 review paper. Now, approximately ten years after this review publication, ma...
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| Published in: | Journal of neural engineering Vol. 15; no. 3; p. 031005 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
01.06.2018
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| ISSN: | 1741-2552, 1741-2552 |
| Online Access: | Get more information |
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