Research Article

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

Table 6

Correlation and normalized residual sum of squares between the artifact-removed signals and the original artifact-free EEG signals for simulated data using the proposed method and ICA-based methods.

ā€‰ Removing the ICA artifact component Applying threshold to the ICA artifact component SWT decomposition with DB4 modeled with OE2 SWT decomposition with DB4 modeled with NLHW2

Corr. 0.6445 0.6171 0.9933 0.9934
0.9567 1.0241 0.1700 0.1711