3 papers
q-bio.NC2022
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?
Hongliu Yang, Matthias Eberlein, Jens Müller +1
Repeated epileptic seizures impair around 65 million people worldwide and a successful prediction of seizures could significantly help patients suffering from refractory epilepsy.…
cs.LG2021
Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence?
Jens Müller, Hongliu Yang, Matthias Eberlein +4
Seizure forecasting using machine learning is possible, but the performance is far from ideal, as indicated by many false predictions and low specificity. Here, we examine false an…
cs.LG2018
Convolutional Neural Networks for Epileptic Seizure Prediction
Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff +4
Epilepsy is the most common neurological disorder and an accurate forecast of seizures would help to overcome the patient's uncertainty and helplessness. In this contribution, we p…