Monitoring the brain in the adult ICU

M.C. Cloostermans, C.C. de Vos, Cecilia Cecilia Clementine de Vos, Tjitske Heida, Ander de Keijzer, Michel Johannes Antonius Maria van Putten

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

The electroencephalogram (EEG) is well-suited for continuous brain monitoring in neurologic patients in the ICU, as the EEG is very sensitive for potential risks as ischemia and (non-convulsive) seizures. However, for a real-time interpretation of the EEG, quantitative EEG (qEEG) feature extracting and an adequate presentation are required. The goal of this study is the implementation and evaluation of a system for real-time classifying EEG patterns based on a combination of different qEEG features. This classifier could be used in the future as a monitoring system for the real-time computer assisted detection of seizure activity and ischemia.
Original languageUndefined
Title of host publicationAnnual symposium of the IEEE-EMBS Benelux Chapter
Place of PublicationEnschede
PublisherUniversity of Twente
Pages128-130
Number of pages3
ISBN (Print)978-90-365-2933-4
Publication statusPublished - 24 Nov 2009
Event4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009 - University of Twente, Enschede, Netherlands
Duration: 9 Nov 200910 Nov 2009
Conference number: 4

Publication series

NameAnnual Symposium of the IEEE/EMBS Benelux Chapter
PublisherUniversity of Twente
VolumeProcedings of the 4th Annual Symposium of the IEEE/EMBS Benelux

Conference

Conference4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009
CountryNetherlands
CityEnschede
Period9/11/0910/11/09

Keywords

  • METIS-266486
  • EWI-17374
  • BSS-Electrical Neurostimulation
  • IR-70365

Cite this

Cloostermans, M. C., de Vos, C. C., de Vos, C. C. C., Heida, T., de Keijzer, A., & van Putten, M. J. A. M. (2009). Monitoring the brain in the adult ICU. In Annual symposium of the IEEE-EMBS Benelux Chapter (pp. 128-130). (Annual Symposium of the IEEE/EMBS Benelux Chapter; Vol. Procedings of the 4th Annual Symposium of the IEEE/EMBS Benelux). Enschede: University of Twente.
Cloostermans, M.C. ; de Vos, C.C. ; de Vos, Cecilia Cecilia Clementine ; Heida, Tjitske ; de Keijzer, Ander ; van Putten, Michel Johannes Antonius Maria. / Monitoring the brain in the adult ICU. Annual symposium of the IEEE-EMBS Benelux Chapter. Enschede : University of Twente, 2009. pp. 128-130 (Annual Symposium of the IEEE/EMBS Benelux Chapter).
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title = "Monitoring the brain in the adult ICU",
abstract = "The electroencephalogram (EEG) is well-suited for continuous brain monitoring in neurologic patients in the ICU, as the EEG is very sensitive for potential risks as ischemia and (non-convulsive) seizures. However, for a real-time interpretation of the EEG, quantitative EEG (qEEG) feature extracting and an adequate presentation are required. The goal of this study is the implementation and evaluation of a system for real-time classifying EEG patterns based on a combination of different qEEG features. This classifier could be used in the future as a monitoring system for the real-time computer assisted detection of seizure activity and ischemia.",
keywords = "METIS-266486, EWI-17374, BSS-Electrical Neurostimulation, IR-70365",
author = "M.C. Cloostermans and {de Vos}, C.C. and {de Vos}, {Cecilia Cecilia Clementine} and Tjitske Heida and {de Keijzer}, Ander and {van Putten}, {Michel Johannes Antonius Maria}",
year = "2009",
month = "11",
day = "24",
language = "Undefined",
isbn = "978-90-365-2933-4",
series = "Annual Symposium of the IEEE/EMBS Benelux Chapter",
publisher = "University of Twente",
pages = "128--130",
booktitle = "Annual symposium of the IEEE-EMBS Benelux Chapter",
address = "Netherlands",

}

Cloostermans, MC, de Vos, CC, de Vos, CCC, Heida, T, de Keijzer, A & van Putten, MJAM 2009, Monitoring the brain in the adult ICU. in Annual symposium of the IEEE-EMBS Benelux Chapter. Annual Symposium of the IEEE/EMBS Benelux Chapter, vol. Procedings of the 4th Annual Symposium of the IEEE/EMBS Benelux, University of Twente, Enschede, pp. 128-130, 4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009, Enschede, Netherlands, 9/11/09.

Monitoring the brain in the adult ICU. / Cloostermans, M.C.; de Vos, C.C.; de Vos, Cecilia Cecilia Clementine; Heida, Tjitske; de Keijzer, Ander; van Putten, Michel Johannes Antonius Maria.

Annual symposium of the IEEE-EMBS Benelux Chapter. Enschede : University of Twente, 2009. p. 128-130 (Annual Symposium of the IEEE/EMBS Benelux Chapter; Vol. Procedings of the 4th Annual Symposium of the IEEE/EMBS Benelux).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Monitoring the brain in the adult ICU

AU - Cloostermans, M.C.

AU - de Vos, C.C.

AU - de Vos, Cecilia Cecilia Clementine

AU - Heida, Tjitske

AU - de Keijzer, Ander

AU - van Putten, Michel Johannes Antonius Maria

PY - 2009/11/24

Y1 - 2009/11/24

N2 - The electroencephalogram (EEG) is well-suited for continuous brain monitoring in neurologic patients in the ICU, as the EEG is very sensitive for potential risks as ischemia and (non-convulsive) seizures. However, for a real-time interpretation of the EEG, quantitative EEG (qEEG) feature extracting and an adequate presentation are required. The goal of this study is the implementation and evaluation of a system for real-time classifying EEG patterns based on a combination of different qEEG features. This classifier could be used in the future as a monitoring system for the real-time computer assisted detection of seizure activity and ischemia.

AB - The electroencephalogram (EEG) is well-suited for continuous brain monitoring in neurologic patients in the ICU, as the EEG is very sensitive for potential risks as ischemia and (non-convulsive) seizures. However, for a real-time interpretation of the EEG, quantitative EEG (qEEG) feature extracting and an adequate presentation are required. The goal of this study is the implementation and evaluation of a system for real-time classifying EEG patterns based on a combination of different qEEG features. This classifier could be used in the future as a monitoring system for the real-time computer assisted detection of seizure activity and ischemia.

KW - METIS-266486

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KW - BSS-Electrical Neurostimulation

KW - IR-70365

M3 - Conference contribution

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Cloostermans MC, de Vos CC, de Vos CCC, Heida T, de Keijzer A, van Putten MJAM. Monitoring the brain in the adult ICU. In Annual symposium of the IEEE-EMBS Benelux Chapter. Enschede: University of Twente. 2009. p. 128-130. (Annual Symposium of the IEEE/EMBS Benelux Chapter).