EEG entropy measures in anesthesia.

HIGHLIGHTS: Twelve entropy indices were systematically compared in monitoring depth of anesthesia and detecting burst suppression. Renyi permutation entropy performed best in tracking EEG changes associated with different anesthesia states. Approximate Entropy and Sample Entropy performed best in detecting burst suppression. OBJECTIVE: Entropy algorithms have been widely used in analyzing EEG signals during anesthesia. However, a systematic comparison of these entropy