Assessment of the depth of anesthesia based on symbolic dynamics of the EEG

Nadine Tupaika; Montserrat Vallverdu; Mathieu Jospin; Erik W. Jensen; Michel M.R.F. Struys; Hugo E.M. Vereecke; Andreas Voss; Pere Caminal

doi:10.1109/IEMBS.2010.5627574

Assessment of the depth of anesthesia based on symbolic dynamics of the EEG

Nadine Tupaika^*, Montserrat Vallverdu, Mathieu Jospin, Erik W. Jensen, Michel M.R.F. Struys, Hugo E.M. Vereecke, Andreas Voss, Pere Caminal

^*Corresponding author for this work

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

4 Citations (Scopus)

3 Downloads (Pure)

Abstract

Methodologies based on symbolic dynamics have successfully demonstrated to reflect the nonlinear behavior of biological signals. In the present study, symbolic dynamics was applied to the electroencephalogram (EEG) in order to describe the level of depth of anesthesia. The EEG was transformed to symbol sequences. Words of three symbols were built from this symbolic series. The results obtained from the EEGs of 36 patients undergoing anesthesia showed that the probabilities of the word types were able to reflect the depth of anesthesia in a similar way to the auditory evoked potential index AAI, a commercial index.

Original language	English
Title of host publication	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Publisher	IEEE
Pages	5971-5974
Number of pages	4
ISBN (Print)	9781424441235
DOIs	https://doi.org/10.1109/IEMBS.2010.5627574
Publication status	Published - 2010
Event	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: 31-Aug-2010 → 4-Sept-2010

Publication series

Name	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/Territory	Argentina
City	Buenos Aires
Period	31/08/2010 → 04/09/2010

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Tupaika, N., Vallverdu, M., Jospin, M., Jensen, E. W., Struys, M. M. R. F., Vereecke, H. E. M., Voss, A., & Caminal, P. (2010). Assessment of the depth of anesthesia based on symbolic dynamics of the EEG. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 5971-5974). Article 5627574 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). IEEE. https://doi.org/10.1109/IEMBS.2010.5627574

Tupaika, Nadine ; Vallverdu, Montserrat ; Jospin, Mathieu et al. / Assessment of the depth of anesthesia based on symbolic dynamics of the EEG. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. IEEE, 2010. pp. 5971-5974 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

@inproceedings{16e22f8a1f124f5e926045d99436e001,

title = "Assessment of the depth of anesthesia based on symbolic dynamics of the EEG",

abstract = "Methodologies based on symbolic dynamics have successfully demonstrated to reflect the nonlinear behavior of biological signals. In the present study, symbolic dynamics was applied to the electroencephalogram (EEG) in order to describe the level of depth of anesthesia. The EEG was transformed to symbol sequences. Words of three symbols were built from this symbolic series. The results obtained from the EEGs of 36 patients undergoing anesthesia showed that the probabilities of the word types were able to reflect the depth of anesthesia in a similar way to the auditory evoked potential index AAI, a commercial index.",

author = "Nadine Tupaika and Montserrat Vallverdu and Mathieu Jospin and Jensen, {Erik W.} and Struys, {Michel M.R.F.} and Vereecke, {Hugo E.M.} and Andreas Voss and Pere Caminal",

year = "2010",

doi = "10.1109/IEMBS.2010.5627574",

language = "English",

isbn = "9781424441235",

series = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",

publisher = "IEEE",

pages = "5971--5974",

booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",

note = "2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",

}

Tupaika, N, Vallverdu, M, Jospin, M, Jensen, EW, Struys, MMRF , Vereecke, HEM , Voss, A & Caminal, P 2010, Assessment of the depth of anesthesia based on symbolic dynamics of the EEG. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5627574, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, IEEE, pp. 5971-5974, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 31/08/2010. https://doi.org/10.1109/IEMBS.2010.5627574

Assessment of the depth of anesthesia based on symbolic dynamics of the EEG. / Tupaika, Nadine; Vallverdu, Montserrat; Jospin, Mathieu et al.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. IEEE, 2010. p. 5971-5974 5627574 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

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

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T1 - Assessment of the depth of anesthesia based on symbolic dynamics of the EEG

AU - Tupaika, Nadine

AU - Vallverdu, Montserrat

AU - Jospin, Mathieu

AU - Jensen, Erik W.

AU - Struys, Michel M.R.F.

AU - Vereecke, Hugo E.M.

AU - Voss, Andreas

AU - Caminal, Pere

PY - 2010

Y1 - 2010

N2 - Methodologies based on symbolic dynamics have successfully demonstrated to reflect the nonlinear behavior of biological signals. In the present study, symbolic dynamics was applied to the electroencephalogram (EEG) in order to describe the level of depth of anesthesia. The EEG was transformed to symbol sequences. Words of three symbols were built from this symbolic series. The results obtained from the EEGs of 36 patients undergoing anesthesia showed that the probabilities of the word types were able to reflect the depth of anesthesia in a similar way to the auditory evoked potential index AAI, a commercial index.

AB - Methodologies based on symbolic dynamics have successfully demonstrated to reflect the nonlinear behavior of biological signals. In the present study, symbolic dynamics was applied to the electroencephalogram (EEG) in order to describe the level of depth of anesthesia. The EEG was transformed to symbol sequences. Words of three symbols were built from this symbolic series. The results obtained from the EEGs of 36 patients undergoing anesthesia showed that the probabilities of the word types were able to reflect the depth of anesthesia in a similar way to the auditory evoked potential index AAI, a commercial index.

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Tupaika N, Vallverdu M, Jospin M, Jensen EW, Struys MMRF , Vereecke HEM et al. Assessment of the depth of anesthesia based on symbolic dynamics of the EEG. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. IEEE. 2010. p. 5971-5974. 5627574. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). doi: 10.1109/IEMBS.2010.5627574

Assessment of the depth of anesthesia based on symbolic dynamics of the EEG

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