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The contamination of EEG by artifacts requires automatic artifact detection for EEG processing systems. It is particularly important for automatic seizure detection systems since artifacts can mimic rhythmical pathological EEG. In this paper we present a novel approach to artifact detection by considering the spatial distribution of the rhythmicity of the EEG signal with the help of the Periodic Waveform...
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