Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?

no code implementations • 11 Jan 2022 • Hongliu Yang, Matthias Eberlein, Jens Müller, Ronald Tetzlaff

Repeated epileptic seizures impair around 65 million people worldwide and a successful prediction of seizures could significantly help patients suffering from refractory epilepsy.

Seizure prediction Time Series +1

Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence?

no code implementations • 26 Oct 2021 • Jens Müller, Hongliu Yang, Matthias Eberlein, Georg Leonhardt, Ortrud Uckermann, Levin Kuhlmann, Ronald Tetzlaff

Here, we examine false and missing alarms of two algorithms on long-term datasets to show that the limitations are less related to classifiers or features, but rather to intrinsic changes in the data.

Seizure prediction Specificity