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This document reviews various methods for identifying and removing physiological artifacts from electroencephalogram (EEG) signals, which are crucial for accurate EEG data analysis. It highlights the challenges posed by artifacts from sources such as eye movements, muscle activity, and cardiac signals, and discusses the limitations of existing artifact removal techniques. The paper emphasizes the need for standardized methods and performance metrics to enhance the efficacy of artifact removal in both clinic

Author

emma.ubeku

Language

EN