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

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

doi:10.1109/IEMBS.2011.6090717

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	2598-2601
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6090717
Publication status	Published - 26 Dec 2011
Externally published	Yes
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: 30 Aug 2011 → 3 Sept 2011

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	30/08/11 → 3/09/11

Access to Document

10.1109/IEMBS.2011.6090717

Cite this

@inproceedings{481c4f8a5c7b405f8789f2e17a2ec47b,

title = "Entropy measures for discrimination of awake Vs anaesthetized state in recovery from general anesthesia",

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.",

author = "N. Nicolaou and S. Houris and P. Alexandrou and J. Georgiou",

year = "2011",

month = dec,

day = "26",

doi = "10.1109/IEMBS.2011.6090717",

language = "English",

isbn = "9781424441211",

pages = "2598--2601",

booktitle = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011",

note = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 ; Conference date: 30-08-2011 Through 03-09-2011",

}

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., 6090717, pp. 2598-2601, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6090717

Entropy measures for discrimination of awake Vs anaesthetized state in recovery from general anesthesia. / Nicolaou, N.; Houris, S.; Alexandrou, P. et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 2598-2601 6090717.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Entropy measures for discrimination of awake Vs anaesthetized state in recovery from general anesthesia

AU - Nicolaou, N.

AU - Houris, S.

AU - Alexandrou, P.

AU - Georgiou, J.

PY - 2011/12/26

Y1 - 2011/12/26

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84055198498&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2011.6090717

DO - 10.1109/IEMBS.2011.6090717

M3 - Conference contribution

C2 - 22254873

SN - 9781424441211

SP - 2598

EP - 2601

BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

Y2 - 30 August 2011 through 3 September 2011

ER -

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

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this