Seizure Detection
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Benchmarks
CHB-MIT
TUH EEG Seizure Corpus
Most implemented
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
Time series saliency maps: explaining models across multiple domains
Papers
Detecting seizure onset and offset times using human intelligence: A critical-transitions-based approach
Most existing seizure detection algorithms require extensive pre-processing of the data and rely on heuristic or currently unexplainable machine learning approaches. These approaches often struggle with balancing detecti…
Seizure DetectionMultimodal Pretraining for Generalizable EEG Representation Learning
Electroencephalography (EEG) models used for epilepsy are often limited to specific datasets and tasks. This limited approach can make it challenging to apply these models across different datasets or in various situatio…
Self-Supervised LearningRepresentation LearningSeizure DetectionFrom Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks
Electroencephalogram (EEG) analysis remains the clinical gold standard for epilepsy diagnosis and seizure detection. While Deep Learning (DL) has significantly advanced automated EEG interpretation, its transition from c…
Seizure DetectionA Neurosymbolic Framework for Interpretable Skeleton-Based Seizure Detection via Concept-Driven Logical Reasoning
Video-based seizure detection is essential for the management of epilepsy patients, offering a non-invasive complement to electroencephalography. While several deep learning approaches have been developed for video-based…
Logical ReasoningSeizure DetectionLLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis
Electroencephalogram (EEG) signals are vital for automated seizure detection, but their inherent noise makes robust representation learning challenging. Existing graph construction methods, whether correlation-based or l…
Representation LearningSeizure DetectionGraph LearningA Multimodal Pre-trained Network for Integrated EEG-Video Seizure Detection
Reliable seizure detection in mouse models is essential for preclinical epilepsy research, yet manual review of synchronized video-EEG recordings is labor-intensive and single-modality systems fail for complementary reas…
Representation LearningSeizure Detection