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An efficient P300-based brain-computer interface for disabled subjects (RRID:SCR_001584)Copy Citation Copied
URL: http://mmspg.epfl.ch/cms/page-58322.html
Proper Citation: An efficient P300-based brain-computer interface for disabled subjects (RRID:SCR_001584)
Description: A portal containing EEG datasets (in MATLAB format) and the MATLAB software that were used to produce the results in the paper named in the title of this resource. The files published can also be used as a basis for individual research on P300-based brain-computer interfaces. The system is based on the P300 evoked potential and is tested with five severely disabled and four able-bodied subjects. For four of the disabled subjects classification accuracies of 100% are obtained. The bitrates obtained for the disabled subjects range between 10 and 25 bits/min. The effect of different electrode configurations and machine learning algorithms on classification accuracy is tested.
Resource Type: data set, source code, software resource, data or information resource
Defining Citation: PMID:17445904
Keywords: eeg, brain-computer interface, p300, fishers linear discriminant analysis, bayesian linear discriminant analysis, matlab, data set
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Ecole Polytechnique Federale de Lausanne; Lausanne; Switzerland |
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