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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages2598-2601
Number of pages4
DOIs
Publication statusPublished - 26 Dec 2011
Externally publishedYes
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: 30 Aug 20113 Sep 2011

Conference

Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period30/08/113/09/11

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    Nicolaou, N., Houris, S., Alexandrou, P., & Georgiou, J. (2011). Entropy measures for discrimination of awake Vs anaesthetized state in recovery from general anesthesia. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 2598-2601). [6090717] https://doi.org/10.1109/IEMBS.2011.6090717