Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
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Analysis of the electroencephalogram (EEG) background pattern helps predicting neurological outcome of comatose patients after cardiac arrest (CA). Visual analysis may not extract all discriminative information. We present predictive values of the revised Cerebral Recovery Index (rCRI), based on continuous extraction and combination of a large set of evolving quantitative EEG (qEEG) features and machine learning techniques. ⋯ The rCRI is a sensitive, reliable predictor of neurological outcome of comatose patients after CA.