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Updated: May 25, 2026

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
Published on: June 21, 2019
EpiScan: online seizure detection for epilepsy monitoring units
Manfred M Hartmann1, Franz Fürbass, Hannes Perko
1Austrian Institute of Technology, Donau-City-Strasse 1, 1220 Vienna, Austria. manfred.hartmann@ait.ac.at
Abstract:
An online seizure detection algorithm for long-term EEG monitoring is presented, which is based on a periodic waveform analysis detecting rhythmic EEG patterns and an adaptation module automatically adjusting the algorithm to patient-specific EEG properties. The algorithm was evaluated using 4.300 hours of unselected EEG recordings from 48 patients with temporal lobe epilepsy. For 66% of the patients the algorithm detected 100% of the seizures. A mean sensitivity of 83% was achieved. An average of 7.2 false alarms within 24 hours for unselected EEG makes the algorithm attractive for epilepsy monitoring units.
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