| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6014506 | Epilepsy & Behavior | 2011 | 5 Pages |
Abstract
⺠The use of EEG monitoring to identify nonconvulsive seizures is increasing in intensive care units. ⺠No clinically validated seizure detection algorithms exist for patients in intensive care units. ⺠A new seizure detection algorithm was tested on 24 prolonged EEG recordings. ⺠The new algorithm performed with 90.4% sensitivity and a 0.066/hour false detection rate. ⺠The results suggest that the algorithm can assist intensive care unit staff in identifying seizures.
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Authors
J. Chris Sackellares, Deng-Shan Shiau, Jonathon J. Halford, Suzette M. LaRoche, Kevin M. Kelly,