Study of the human brain potentials variability effects in P300 based brain–computer interface

The P300-based brain–computer interfaces (P300 BCI) allow the user to select commands by focusing on them. technology involves electroencephalographic (EEG) representation of event-related potentials (ERP) that arise in response repetitive external stimulation. Conventional procedures for ERP extraction and analysis imply identical stimuli produce responses. However, floating onset EEG reactions is a known neurophysiological phenomenon. A failure account this source variability may considerably skew output undermine overall accuracy interface. This study aimed analyze effects order minimize their influence P300 BCI command classification accuracy. Healthy subjects aged 21–22 years (n = 12) were presented with modified matrix moving specified parameters within working area. results strongly support inherent significance environments. correction peak latencies single provided 1.5–2 fold increase amplitude concomitant enhancement (from 71–78% 92–95%, p < 0.0005). These particularly pronounced attention-demanding tasks highest velocities. findings underscore importance accounting advanced systems.