Journal
JOURNAL OF NEUROSCIENCE METHODS
Volume 199, Issue 1, Pages 103-107Publisher
ELSEVIER
DOI: 10.1016/j.jneumeth.2011.04.037
Keywords
Brain-computer interface; Adaptation; EEG
Categories
Funding
- NIH (NCMRR, NICHD) (NIBIB NINDS) [HD30146, EB00856]
- James S. McDonnell Foundation
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People with or without motor disabilities can learn to control sensorimotor rhythms (SMRs) recorded from the scalp to move a computer cursor in one or more dimensions or can use the P300 event-related potential as a control signal to make discrete selections. Data collected from individuals using an SMR-based or P300-based BCI were evaluated offline to estimate the impact on performance of continually adapting the parameters of the translation algorithm during BCI operation. The performance of the SMR-based BCI was enhanced by adaptive updating of the feature weights or adaptive normalization of the features. In contrast. P300 performance did not benefit from either of these procedures. (C) 2011 Elsevier B.V. All rights reserved.
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