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Updated: Jun 18, 2026

Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy
Published on: January 29, 2018
A robust spike and wave algorithm for detecting seizures in a genetic absence seizure model
Petros Xanthopoulos1, Chang-Chia Liu, Jicong Zhang
1Industrial and Systems Engineering Department at University of Florida, Gainesville, FL 32611, USA. petro.xanthopoulos@gmail.com
Abstract:
Animal Models are used extensively in basic epilepsy research. In many studies, there is a need to accurately score and quantify all epileptic spike and wave discharges (SWDs) as captured by electroencephalographic (EEG) recordings. Manual scoring of long term EEG recordings is a time-consuming and tedious task that requires inordinate amount of time of laboratory personnel and an experienced electroencephalographer. In this paper, we adapt a SWD detection algorithm, originally proposed by the authors for absence (petit mal) seizure detection in humans, to detect SWDs appearing in EEG recordings of Fischer 334 rats. The algorithm is robust with respect to the threshold parameters. Results are compared to manual scoring and the effect of different threshold parameters is discussed.
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