Research Article
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 |
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