Auto-mutual information function of the EEG as a measure of depth of anesthesia

Barbara Julitta; Montserrat Vallverdú; Umberto S.P. Melia; Nadine Tupaika; Mathieu Jospin; Erik W. Jensen; Michel M.R.F. Struys; Hugo E.M. Vereecke; Pere Caminal

doi:10.1109/IEMBS.2011.6090711

Auto-mutual information function of the EEG as a measure of depth of anesthesia

Barbara Julitta^*, Montserrat Vallverdú, Umberto S.P. Melia, Nadine Tupaika, Mathieu Jospin, Erik W. Jensen, Michel M.R.F. Struys, Hugo E.M. Vereecke, Pere Caminal

^*Corresponding author for this work

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

5 Citations (Scopus)

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Abstract

Monitoring the depth of anesthesia (DOA) is necessary in order to decrease the incident of awareness in anesthesia and to prevent delays in the recovery phase. In the last decades a number of noninvasive methods have been proposed for the analysis of the electroencephalogram (EEG) for monitoring DOA. The objective of this work was to apply auto mutual information function (AMIF) to EEGs of patients under anesthesia in order to find variables able to characterize the following 4 states: awake, sedated, anesthetized and burst suppression episodes. The results show that the single and combined AMIF parameters were able to correctly classify the states in the range 72.2%-94.1% and 61.1%-100%, respectively.

Original language	English
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Publisher	IEEE Xplore
Pages	2574-2577
Number of pages	4
ISBN (Print)	9781424441211
DOIs	https://doi.org/10.1109/IEMBS.2011.6090711
Publication status	Published - 2011
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

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

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	30/08/2011 → 03/09/2011

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10.1109/IEMBS.2011.6090711

Auto-mutual information function of the EEG as a measure of depth of anesthesiaFinal publisher's version, 692 KBLicence: Taverne

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Julitta, B., Vallverdú, M., Melia, U. S. P., Tupaika, N., Jospin, M., Jensen, E. W., Struys, M. M. R. F., Vereecke, H. E. M., & Caminal, P. (2011). Auto-mutual information function of the EEG as a measure of depth of anesthesia. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 2574-2577). Article 6090711 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). IEEE Xplore. https://doi.org/10.1109/IEMBS.2011.6090711

Julitta, Barbara ; Vallverdú, Montserrat ; Melia, Umberto S.P. et al. / Auto-mutual information function of the EEG as a measure of depth of anesthesia. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. IEEE Xplore, 2011. pp. 2574-2577 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{eec8364630014461841e139b143bc8a0,

title = "Auto-mutual information function of the EEG as a measure of depth of anesthesia",

abstract = "Monitoring the depth of anesthesia (DOA) is necessary in order to decrease the incident of awareness in anesthesia and to prevent delays in the recovery phase. In the last decades a number of noninvasive methods have been proposed for the analysis of the electroencephalogram (EEG) for monitoring DOA. The objective of this work was to apply auto mutual information function (AMIF) to EEGs of patients under anesthesia in order to find variables able to characterize the following 4 states: awake, sedated, anesthetized and burst suppression episodes. The results show that the single and combined AMIF parameters were able to correctly classify the states in the range 72.2%-94.1% and 61.1%-100%, respectively.",

author = "Barbara Julitta and Montserrat Vallverd{\'u} and Melia, {Umberto S.P.} and Nadine Tupaika and Mathieu Jospin and Jensen, {Erik W.} and Struys, {Michel M.R.F.} and Vereecke, {Hugo E.M.} and Pere Caminal",

year = "2011",

doi = "10.1109/IEMBS.2011.6090711",

language = "English",

isbn = "9781424441211",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "IEEE Xplore",

pages = "2574--2577",

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",

}

Julitta, B, Vallverdú, M, Melia, USP, Tupaika, N, Jospin, M, Jensen, EW, Struys, MMRF , Vereecke, HEM & Caminal, P 2011, Auto-mutual information function of the EEG as a measure of depth of anesthesia. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6090711, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, IEEE Xplore, pp. 2574-2577, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 30/08/2011. https://doi.org/10.1109/IEMBS.2011.6090711

Auto-mutual information function of the EEG as a measure of depth of anesthesia. / Julitta, Barbara; Vallverdú, Montserrat; Melia, Umberto S.P. et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. IEEE Xplore, 2011. p. 2574-2577 6090711 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

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AU - Julitta, Barbara

AU - Vallverdú, Montserrat

AU - Melia, Umberto S.P.

AU - Tupaika, Nadine

AU - Jospin, Mathieu

AU - Jensen, Erik W.

AU - Struys, Michel M.R.F.

AU - Vereecke, Hugo E.M.

AU - Caminal, Pere

PY - 2011

Y1 - 2011

N2 - Monitoring the depth of anesthesia (DOA) is necessary in order to decrease the incident of awareness in anesthesia and to prevent delays in the recovery phase. In the last decades a number of noninvasive methods have been proposed for the analysis of the electroencephalogram (EEG) for monitoring DOA. The objective of this work was to apply auto mutual information function (AMIF) to EEGs of patients under anesthesia in order to find variables able to characterize the following 4 states: awake, sedated, anesthetized and burst suppression episodes. The results show that the single and combined AMIF parameters were able to correctly classify the states in the range 72.2%-94.1% and 61.1%-100%, respectively.

AB - Monitoring the depth of anesthesia (DOA) is necessary in order to decrease the incident of awareness in anesthesia and to prevent delays in the recovery phase. In the last decades a number of noninvasive methods have been proposed for the analysis of the electroencephalogram (EEG) for monitoring DOA. The objective of this work was to apply auto mutual information function (AMIF) to EEGs of patients under anesthesia in order to find variables able to characterize the following 4 states: awake, sedated, anesthetized and burst suppression episodes. The results show that the single and combined AMIF parameters were able to correctly classify the states in the range 72.2%-94.1% and 61.1%-100%, respectively.

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SN - 9781424441211

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

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ER -

Julitta B, Vallverdú M, Melia USP, Tupaika N, Jospin M, Jensen EW et al. Auto-mutual information function of the EEG as a measure of depth of anesthesia. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. IEEE Xplore. 2011. p. 2574-2577. 6090711. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6090711

Auto-mutual information function of the EEG as a measure of depth of anesthesia

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