1 citations · 1 across the 4 of their papers we have counts for
3 papers · 1 filter
Comparison of Dimension Reduction Methods for EEG Seizure Detection Using Autonomous AI-Driven Optimization
Annika Stiehl, Vishal Kagade, Nicolas Weeger +3
Automated epileptic seizure detection from multichannel electroencephalography (EEG) benefits from dimension reduction to obtain compact, discriminative representations. We compare…
Low-Density EEG for Seizure Detection: Evaluating CNN-RNN Architectures on a Behind-the-Ear Montage Setup
Annika Stiehl, Patrick Wingert, Nicolas Weeger +3
Epilepsy affects over 50 million individuals globally, underscoring the need for automated seizure detection systems that can alleviate clinicians workload and enhance the accuracy…
Towards Automated EEG-Based Epilepsy Detection Using Deep Convolutional Autoencoders
Annika Stiehl, Nicolas Weeger, Christian Uhl +3
Epilepsy is one of the most common neurological disorders. This disease requires reliable and efficient seizure detection methods. Electroencephalography (EEG) is the gold standard…