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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Citi, L. Poli, R. Cinel, C. Sepulveda, F. |
| Copyright Year | 2001 |
| Abstract | In this paper we propose a brain-computer interface (BCI) mouse based on P300 waves in electroencephalogram (EEG) signals. The system is analogue in that at no point a binary decision is made as to whether or not a P300 was actually produced in response to the stimuli. Instead, the 2D motion of the pointer on the screen, using a novel BCI paradigm, is controlled by directly combining the amplitudes of the output produced by a filter in the presence of different stimuli. This filter and the features to be combined within it are optimised by an evolutionary algorithm. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 11 |
| File Size | 752341 |
| Starting Page | 51 |
| Ending Page | 61 |
| File Format | |
| ISSN | 15344320 |
| Volume Number | 16 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mice Communication system control Enterprise resource planning Electroencephalography Filters Muscles Rhythm Motion control Evolutionary computation Genetic algorithms P300 Brain–computer interfaces (BCIs) genetic algorithms mouse |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neuroscience Rehabilitation Internal Medicine Biomedical Engineering Computer Science Applications |
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