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 1–25 of 175 papers

TitleStatusHype
Dynamic GNNs for Precise Seizure Detection and Classification from EEG DataCode2
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
Residual and bidirectional LSTM for epileptic seizure detectionCode2
A foundation model with multi-variate parallel attention to generate neuronal activityCode1
Time series saliency maps: explaining models across multiple domainsCode1
SeizeIT2: Wearable Dataset Of Patients With Focal EpilepsyCode1
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space ModelsCode1
ManyDG: Many-domain Generalization for Healthcare ApplicationsCode1
Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge DevicesCode1
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG RecordingsCode1
BIOT: Cross-data Biosignal Learning in the WildCode1
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural NetworksCode1
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViGCode1
Deep Latent Variable Modeling of Physiological SignalsCode1
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithmsCode1
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic SettingCode1
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
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—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