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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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[Study of the letter and word recognition by the brain-computer-interface with P300 wave of human visual evoked
Rossiiskii Fiziologicheskii Zhurnal Imeni I.M. Sechenova
|April 28, 2007
Abstract:
In four adult healthy subjects in 18 experiments, we studied Brain-Computer-Interface recognition of different intended words by P300 wave in the VEP. The set of optimal characteristics of visual stimulation which rise reliability of recognition up to 100 %, as well as effective registration locus (Pz) were determined. It was found that the best processing criteria for letter recognition were: P300 square and superposition of all three criteria (P300 amplitude, square and covariation coefficient).

