Journal article

Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy

Sebastien H Bauquier, Alan Lai, Jonathan L Jiang, Yi Sui, Mark J Cook

NEUROSCIENCE BULLETIN | SPRINGER | Published : 2015

Abstract

The aim of this prospective blinded study was to evaluate an automated algorithm for spike-and-wave discharge (SWD) detection applied to EEGs from genetic absence epilepsy rats from Strasbourg (GAERS). Five GAERS underwent four sessions of 20-min EEG recording. Each EEG was manually analyzed for SWDs longer than one second by two investigators and automatically using an algorithm developed in MATLAB®. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for the manual (reference) versus the automatic (test) methods. The results showed that the algorithm had specificity, sensitivity, PPV and NPV >94%, comparable to published method..

View full abstract

Grants

Funding Acknowledgements

We gratefully acknowledge the sponsorship of the Victoria Government through its Science Technology and Innovation Initiative administered by the Department of Industry, Innovation and Regional Development. We thank the Australian Research Council for continuing financial support.