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 language | English |
|---|---|
| Title of host publication | Annual symposium of the IEEE-EMBS Benelux Chapter |
| Place of Publication | Enschede |
| Publisher | University of Twente |
| Pages | 128-130 |
| Number of pages | 3 |
| ISBN (Print) | 978-90-365-2933-4 |
| Publication status | Published - 24 Nov 2009 |
| Event | 4th 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 2009 → 10 Nov 2009 Conference number: 4 |
Publication series
| 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
| Conference | 4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009 |
|---|---|
| Country/Territory | Netherlands |
| City | Enschede |
| Period | 9/11/09 → 10/11/09 |
Keywords
- METIS-266486
- EWI-17374
- BSS-Electrical Neurostimulation
- IR-70365