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

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Showing 1–50 of 175 papers

TitleStatusHype
Residual and bidirectional LSTM for epileptic seizure detectionCode2
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
Dynamic GNNs for Precise Seizure Detection and Classification from EEG DataCode2
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural NetworksCode1
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
SeizeIT2: Wearable Dataset Of Patients With Focal EpilepsyCode1
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithmsCode1
BIOT: Cross-data Biosignal Learning in the WildCode1
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
A foundation model with multi-variate parallel attention to generate neuronal activityCode1
Deep Latent Variable Modeling of Physiological SignalsCode1
Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge DevicesCode1
ManyDG: Many-domain Generalization for Healthcare ApplicationsCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViGCode1
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space ModelsCode1
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic SettingCode1
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG RecordingsCode1
Time series saliency maps: explaining models across multiple domainsCode1
Synthetic Epileptic Brain Activities Using Generative Adversarial NetworksCode0
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model MonitoringCode0
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure DetectionCode0
The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy DetectionCode0
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure DetectionCode0
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform DischargesCode0
Towards Interpretable Seizure Detection Using WearablesCode0
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type ClassificationCode0
Privacy-preserving Early Detection of Epileptic Seizures in VideosCode0
MICAL: Mutual Information-Based CNN-Aided Learned FactorCode0
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure DetectionCode0
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure DetectionCode0
LightFF: Lightweight Inference for Forward-Forward AlgorithmCode0
Learning Robust Features using Deep Learning for Automatic Seizure DetectionCode0
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionCode0
Learning Robust Representations of Tonic-Clonic Seizures With Cyclic TransformerCode0
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmarkCode0
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video ProcessingCode0
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature ManifoldsCode0
Efficient Epileptic Seizure Detection Using CNN-Aided Factor GraphsCode0
Ensemble learning using individual neonatal data for seizure detectionCode0
An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and OctaveCode0
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health SystemsCode0
Avoiding Post-Processing with Event-Based Detection in Biomedical SignalsCode0
Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges—0
Automated Human Mind Reading Using EEG Signals for Seizure Detection—0
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior—0
An Explainable Model for EEG Seizure Detection based on Connectivity Features—0
A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks—0
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates—0
Audio-Based Epileptic Seizure Detection—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