- Automated detection of ictal discharges in adults.
- Detection takes at the most 5min on a 24h EEG.
- Runs on routine EEG and LTM EEG.
- Evaluate detected seizures in seizure review
The seizure detection algorithm has been developed at the Epilepsy Center, Department of Neurology, Universitätsklinikum Erlangen. Detection was optimized for the subset of electrodes which are the representatives for the brain activity of the left hemisphere, the right hemispheres and the midline. The quality of the detection depends on the availability of the following channels
- Left: F11, FT9, TP9, F7, T7, P7, O1, F3, C3, P3
- Right: F12, FT10, TP10, F8, T8, P8, O2, F4, C4, P4
- Midline: Fz, Cz, Pz
At least one channel of each group must be available.
Find more details about the seizure detection in Clinical Neurophysiology, Volume 125, Issue 7, pages 1346–1352, July 2014
“Automatic seizure detection in long-term scalp EEG using an adaptive thresholding technique: a validation study for clinical routine”