Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation

Table 8

Correlation between the GVS signals and the estimated GVS artifact extracted from EEG signals for real data using different methods.

Method	Correlation
ICA-Infomax method (remove the artifact component)	0.6859
ICA-Infomax method (threshold the artifact component)	0.6858
Regression method with OE2	0.7673
RLS Adaptive filter (forgetting factor: 0.99997, length: 2)	0.7615
LMS Adaptive filter (adaptation gain: 0.5, length: 3)	0.7010