Continuous electroencephalography (cEEG) monitoring is frequently utilized during the care of critically ill patients. In addition to being used consistently to provide evidentiary support of diagnoses made primarily from imaging techniques, EEG has also been utilized as a source for assessing the outcome of a patient. However, the relationship between these cEEG features and clinical outcome is not clear and may strongly depend on the underlying pathology. In comatose patients after cardiac arrest, EEG is the strongest predictor of poor outcome [1].

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