Permutation entropy is not an age-independent parameter for EEG-based anesthesia monitoring.

ABSTRACT:

Background

An optimized anesthesia monitoring using electroencephalographic (EEG) information in the elderly could help to reduce the incidence of postoperative complications. Processed EEG information that is available to the anesthesiologist is affected by the age-induced changes of the raw EEG. While most of these methods indicate a "more awake" patient with age, the permutation entropy (PeEn) has been proposed as an age-independent measure. In this article, we show that PeEn is also influenced by age, independent of parameter settings.

Methods

We retrospectively analyzed the EEG of more than 300 patients, recorded during steady state anesthesia without stimulation, and calculated the PeEn for different embedding dimensions m that was applied to the EEG filtered to a wide

SUBMITTER: Hight D 

PROVIDER: S-EPMC10308118 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature