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.
|Name||Annual Symposium of the IEEE/EMBS Benelux Chapter|
|Publisher||University of Twente|
|Volume||Procedings of the 4th Annual Symposium of the IEEE/EMBS Benelux|
|Conference||4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009|
|Period||9/11/09 → 10/11/09|
- BSS-Electrical Neurostimulation
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.