Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest

Miikka Ermes; Mika Särkelä; Mark van Gils; Johanna Wennervirta; Anne Vakkuri; Salmi Tapani

doi:10.1109/IEMBS.2007.4352973

Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest

Miikka Ermes, Mika Särkelä, Mark van Gils, Johanna Wennervirta, Anne Vakkuri, Salmi Tapani

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

Abstract

Assessing the brain status of patients admitted to intensive care unit (ICU) after out-of-hospital cardiac arrest is challenging. We had earlier found wavelet subband entropy (WSE) to be a useful tool for quantifying the epileptiform content of EEG during anesthesia. In this paper, WSE was applied for EEG of ICU patients to study its prognostic value. During their stay in ICU, EEG was recorded from 20 patients resuscitated after out-of-hospital cardiac arrest. For the analysis, the patients were divided into subgroups of poor outcome (persistent vegetative state, N=4) and good outcome (regain of consciousness, N=16). WSE for each 5-sec segment of EEG was calculated and also the average of WSE for each hour. Also, similar results were calculated for EEG powers in the bands 16-32 Hz and 1-60 Hz to be used as references. The statistical analysis was made by comparing the medians of the distributions of average WSE of each hour between poor and good outcome groups. The median of WSE of poor outcome group was significantly lower than that of good outcome group. The reference indicators did not show significant differences between the groups. The results suggest that WSE can be a valuable prognostic indicator for detecting the patients with poor outcome.

Original language	English
Title of host publication	2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	3056-3059
ISBN (Electronic)	978-1-4244-0788-0
ISBN (Print)	978-1-4244-0787-3
DOIs	https://doi.org/10.1109/IEMBS.2007.4352973
Publication status	Published - 2007
MoE publication type	A4 Article in a conference publication
Event	29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEMBS 2007 - Lyon, France Duration: 22 Aug 2007 → 26 Aug 2007

Publication series

Series	Annual International Conference of the IEEE Engineering in Medicine and Biology
Volume	29
ISSN	1557-170X

Conference

Conference	29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEMBS 2007
Abbreviated title	IEMBS 2007
Country/Territory	France
City	Lyon
Period	22/08/07 → 26/08/07

Keywords

Intensive care
EEG
Epilepsy

Access to Document

10.1109/IEMBS.2007.4352973

Cite this

Ermes, M., Särkelä, M., van Gils, M., Wennervirta, J., Vakkuri, A., & Tapani, S. (2007). Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3056-3059). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IEMBS.2007.4352973

Ermes, Miikka ; Särkelä, Mika ; van Gils, Mark et al. / Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, 2007. pp. 3056-3059 (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 29).

@inproceedings{f9b2d71085f34611b9e0dfe7d295b35c,

title = "Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest",

abstract = "Assessing the brain status of patients admitted to intensive care unit (ICU) after out-of-hospital cardiac arrest is challenging. We had earlier found wavelet subband entropy (WSE) to be a useful tool for quantifying the epileptiform content of EEG during anesthesia. In this paper, WSE was applied for EEG of ICU patients to study its prognostic value. During their stay in ICU, EEG was recorded from 20 patients resuscitated after out-of-hospital cardiac arrest. For the analysis, the patients were divided into subgroups of poor outcome (persistent vegetative state, N=4) and good outcome (regain of consciousness, N=16). WSE for each 5-sec segment of EEG was calculated and also the average of WSE for each hour. Also, similar results were calculated for EEG powers in the bands 16-32 Hz and 1-60 Hz to be used as references. The statistical analysis was made by comparing the medians of the distributions of average WSE of each hour between poor and good outcome groups. The median of WSE of poor outcome group was significantly lower than that of good outcome group. The reference indicators did not show significant differences between the groups. The results suggest that WSE can be a valuable prognostic indicator for detecting the patients with poor outcome.",

keywords = "Intensive care, EEG, Epilepsy",

author = "Miikka Ermes and Mika S{\"a}rkel{\"a} and {van Gils}, Mark and Johanna Wennervirta and Anne Vakkuri and Salmi Tapani",

year = "2007",

doi = "10.1109/IEMBS.2007.4352973",

language = "English",

isbn = "978-1-4244-0787-3",

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

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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booktitle = "2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

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note = "29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEMBS 2007, IEMBS 2007 ; Conference date: 22-08-2007 Through 26-08-2007",

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Ermes, M, Särkelä, M, van Gils, M, Wennervirta, J, Vakkuri, A & Tapani, S 2007, Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest. in 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, Annual International Conference of the IEEE Engineering in Medicine and Biology, vol. 29, pp. 3056-3059, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEMBS 2007, Lyon, France, 22/08/07. https://doi.org/10.1109/IEMBS.2007.4352973

Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest. / Ermes, Miikka; Särkelä, Mika; van Gils, Mark et al.
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, 2007. p. 3056-3059 (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 29).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest

AU - Ermes, Miikka

AU - Särkelä, Mika

AU - van Gils, Mark

AU - Wennervirta, Johanna

AU - Vakkuri, Anne

AU - Tapani, Salmi

PY - 2007

Y1 - 2007

N2 - Assessing the brain status of patients admitted to intensive care unit (ICU) after out-of-hospital cardiac arrest is challenging. We had earlier found wavelet subband entropy (WSE) to be a useful tool for quantifying the epileptiform content of EEG during anesthesia. In this paper, WSE was applied for EEG of ICU patients to study its prognostic value. During their stay in ICU, EEG was recorded from 20 patients resuscitated after out-of-hospital cardiac arrest. For the analysis, the patients were divided into subgroups of poor outcome (persistent vegetative state, N=4) and good outcome (regain of consciousness, N=16). WSE for each 5-sec segment of EEG was calculated and also the average of WSE for each hour. Also, similar results were calculated for EEG powers in the bands 16-32 Hz and 1-60 Hz to be used as references. The statistical analysis was made by comparing the medians of the distributions of average WSE of each hour between poor and good outcome groups. The median of WSE of poor outcome group was significantly lower than that of good outcome group. The reference indicators did not show significant differences between the groups. The results suggest that WSE can be a valuable prognostic indicator for detecting the patients with poor outcome.

AB - Assessing the brain status of patients admitted to intensive care unit (ICU) after out-of-hospital cardiac arrest is challenging. We had earlier found wavelet subband entropy (WSE) to be a useful tool for quantifying the epileptiform content of EEG during anesthesia. In this paper, WSE was applied for EEG of ICU patients to study its prognostic value. During their stay in ICU, EEG was recorded from 20 patients resuscitated after out-of-hospital cardiac arrest. For the analysis, the patients were divided into subgroups of poor outcome (persistent vegetative state, N=4) and good outcome (regain of consciousness, N=16). WSE for each 5-sec segment of EEG was calculated and also the average of WSE for each hour. Also, similar results were calculated for EEG powers in the bands 16-32 Hz and 1-60 Hz to be used as references. The statistical analysis was made by comparing the medians of the distributions of average WSE of each hour between poor and good outcome groups. The median of WSE of poor outcome group was significantly lower than that of good outcome group. The reference indicators did not show significant differences between the groups. The results suggest that WSE can be a valuable prognostic indicator for detecting the patients with poor outcome.

KW - Intensive care

KW - EEG

KW - Epilepsy

U2 - 10.1109/IEMBS.2007.4352973

DO - 10.1109/IEMBS.2007.4352973

M3 - Conference article in proceedings

SN - 978-1-4244-0787-3

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology

SP - 3056

EP - 3059

BT - 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEMBS 2007

Y2 - 22 August 2007 through 26 August 2007

ER -

Ermes M, Särkelä M, van Gils M, Wennervirta J, Vakkuri A, Tapani S. Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers. 2007. p. 3056-3059. (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 29). doi: 10.1109/IEMBS.2007.4352973

Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest

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