Entropy measures for discrimination of 'awake' Vs 'anaesthetized' state in recovery from general anesthesia.

N. Nicolaou, S. Houris, P. Alexandrou, J. Georgiou

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Approximate Entropy (ApEn) and Permutation Entropy (PE) have been recently introduced for assessment of anesthetic depth. Both measures have previously been shown to track changes in the electrical brain activity related to the administration of anesthetic agents. In this paper ApEn and PE are compared for the automatic classification of 'awake' and 'anesthetized' state using a Support Vector Machine to assess their robustness for potential use in a device for monitoring awareness during general anesthesia. It was found that both measures provide linearly separable features and we are able to discriminate between the two states with accuracy greater than 96% using either of the two entropy measures.

Original languageEnglish
Pages (from-to)2598-2601
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication statusPublished - 1 Dec 2011
Externally publishedYes

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