EEG entropy measures in anesthesia.

ABSTRACT:

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 algorithms in assessing anesthesia drugs' effect is lacking. In this study, we compare the capability of 12 entropy indices for monitoring depth of anesthesia (DoA) and detecting the burst suppression pattern (BSP), in anesthesia induced by GABAergic agents.

Methods

Twelve indices were investigated, na

SUBMITTER: Liang Z 

PROVIDER: S-EPMC4332344 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature