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The P300 potential is a positive peak of an event-
related potential (ERP) that happens at 300 ms after
a stimulus. In this
study, both offline and online stages were carried
out in the experiment. The motivation of this paper
is to compare two different
P300 brain-computer interfaces (BCIs) which were
evoked by random stimulus and non-random stimulus
respectively. The offiine
data demonstrated that the random stimulus induced a
higher P300 amplitude and classification accuracy
than the non-random
stimulus. The offline data were used to train the
Bayesian linear discriminate analysis (BLDA), which
was used in offline experiment.
The online results further proved that random
stimulus P300 BCI yields better performance than non-
random stimulus P300 BCI.
related potential (ERP) that happens at 300 ms after
a stimulus. In this
study, both offline and online stages were carried
out in the experiment. The motivation of this paper
is to compare two different
P300 brain-computer interfaces (BCIs) which were
evoked by random stimulus and non-random stimulus
respectively. The offiine
data demonstrated that the random stimulus induced a
higher P300 amplitude and classification accuracy
than the non-random
stimulus. The offline data were used to train the
Bayesian linear discriminate analysis (BLDA), which
was used in offline experiment.
The online results further proved that random
stimulus P300 BCI yields better performance than non-
random stimulus P300 BCI.