Electroencephalography (EEG) is a technique used to observe brain activity by measuring
the dynamic changes of the electric field induced by neurons' activity. Brain-computer
interface (BCI) systems are used in cognitive psychology examinations measuring the
changes of brain activities. This paper presents a validation methodology to characterize
BCI systems with wireless communication interface and the applicability on a preselected
BCI system. This way, the delay, the functionality, and the frequency selectivity
can be determined of the overall BCI system, taking into account the effect of the
hardware, the software, and the electrodes, avoiding noise artifacts. The presented
and validated BCI system proved to be successfully applied in ERP EEG measurements
such as steady-state visually evoked potential, pattern-reversal visually evoked potential,
and P300 event-related potential.
