Journal
CLINICAL NEUROPHYSIOLOGY
Volume 111, Issue 12, Pages 2138-2144Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/S1388-2457(00)00457-0
Keywords
error potential; event related potential; error related negativity; brain-computer interface; mu rhythm; sensorimotor cortex; electroencephalography; augmentative communication; rehabilitation
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Funding
- NICHD NIH HHS [HD30146] Funding Source: Medline
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Background: EEG-based communication could be a valuable new augmentative communication technology for those with severe motor disabilities. Like all communication methods, it faces the problem of errors in transmission. In the Wadsworth EEG-based brain-computer interface (BCI) system, subjects learn to use mu or beta rhythm amplitude to move a cursor to targets on a computer screen. While cursor movement is highly accurate in trained subjects, it is not perfect. Methods: In an effort to develop a method for detecting errors, this study compared the EEG immediately after correct target selection to that after incorrect selection. Results: The data showed that a mistake is followed by a positive potential centered at the vertex that peaks about 180 ms after the incorrect selection. Conclusion: The results suggest that this error potential might provide a method for detecting and voiding errors that requires no additional time and could thereby improve the speed and accuracy of EEG-based communication. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved.
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