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The paper presents application and comparison of two methods based on the blind source separation problem: Principal Component Analysis (PCA) and Independent Component Analysis (ICA) as well as combining these methods. Both methods might be applied in the task of eliminating artefacts from the electroencefalography (EEG) signal. Such artefacts might cover eye-blinks, muscle artefacts etc. The case...
Electroencephalography (EEG) signals are often contaminated with artifacts arising from many sources such as those with ocular and muscular origins. Artifact removal techniques often rely on the experience of the EEG technician to detect these artifact components for removal. This paper presents the results comparing an automated procedure (AT) against visually (VT) choosing artifactual components...
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