Artifact rejection refers to the process of identifying and eliminating noise or irrelevant data from signals, particularly in the context of EEG (electroencephalogram) recordings. This is crucial for enhancing the accuracy and reliability of brain-computer interfaces, as it ensures that the signals used for interpretation are representative of the actual neural activity rather than being contaminated by external interference.
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