Automatic artifact removal from EEG - a mixed approach based on double blind source separation and support vector machine

Electroencephalography (EEG) recordings are often obscured by physiological artifacts that can render huge amounts of data useless and thus constitute a key challenge in current brain-computer interface research. This paper presents a new algorithm that automatically and reliably removes artifacts f...

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