SOTAVerified

Seizure Detection

Seizure Detection is a binary supervised classification problem with the aim of classifying between seizure and non-seizure states of a patient.

Source: ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 175 papers

TitleStatusHype
Deep Learning Approaches for Seizure Video Analysis: A Review—0
Seizure detection from Electroencephalogram signals via Wavelets and Graph Theory metrics—0
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViGCode1
Enhancing Epileptic Seizure Detection with EEG Feature Embeddings—0
Privacy-preserving Early Detection of Epileptic Seizures in VideosCode0
EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems—0
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling—0
Ongoing EEG artifact correction using blind source separation—0
Reporting existing datasets for automatic epilepsy diagnosis and seizure detection—0
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals—0
Machine Learning Based IoT Adaptive Architecture for Epilepsy Seizure Detection: Anatomy and Analysis—0
BIOT: Cross-data Biosignal Learning in the WildCode1
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals—0
Towards Interpretable Seizure Detection Using WearablesCode0
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform DischargesCode0
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction—0
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection—0
Importance of methodological choices in data manipulation for validating epileptic seizure detection models—0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
ManyDG: Many-domain Generalization for Healthcare ApplicationsCode1
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space ModelsCode1
Topological biomarkers for real-time detection of epileptic seizures—0
A Meta-GNN approach to personalized seizure detection and classification—0
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All datasetsTUH EEG Seizure CorpusCHB-MIT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet+ LSTMAUROC0.92—Unverified
2CNN2D+LSTMAUROC0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1TF-Tensor-CNNAccuracy89.63—Unverified