V Congreso Latinoamericano de Ingeniería Biomédica (CLAIB2011)

SSVEP Detection using Adaptive filters
Garces Correa Agustina, Laciar Leber Eric, Diez . Pablo Federico

##manager.scheduler.building##: Palacio de Convenciones de La Habana
##manager.scheduler.room##: Sala 5
Fecha: 2011-05-20 11:30  – 11:45
Última modificación: 2011-04-14 10:29

Resumen


We present the classification of Steady State
Visual Evoked Potential (SSVEP) using adaptive filters. Those
filters are based on the optimization theory and they have the
capability of modifying their properties according to selected
features of the signals being analyzed. There have been
proposed two schemes to classify SSVEP, one using the
SSVEP fundamental frequencies and the other one adding
their harmonics. The results obtained with adaptive filters are
higher than those obtained with classical filters schemes (e.g.
Chevyschev II filter). The proposed method is able to extract
SSVEP with its harmonics and it allows better classification
results than the best standard filter. Besides, this algorithm is
fast and can be used for real-time BCI.