Generalizable Classification of UHF Partial Discharge Signals in Gas-Insulated HVDC Systems Using Neural Networks

no code implementations • 17 Jul 2023 • Steffen Seitz, Thomas Götz, Christopher Lindenberg, Ronald Tetzlaff, Stephan Schlegel

Undetected partial discharges (PDs) are a safety critical issue in high voltage (HV) gas insulated systems (GIS).

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

Convolutional Neural Networks for Epileptic Seizure Prediction

no code implementations • 2 Nov 2018 • Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin Brinkmann, Jens Müller

In this contribution, we present and discuss a novel methodology for the classification of intracranial electroencephalography (iEEG) for seizure prediction.

Binary Classification General Classification +1