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 1–50 of 175 papers

TitleStatusHype
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
A foundation model with multi-variate parallel attention to generate neuronal activityCode1
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network—0
SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference—0
Time series saliency maps: explaining models across multiple domainsCode1
Machine-Learning-Powered Neural Interfaces for Smart Prosthetics and Diagnostics—0
The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy DetectionCode0
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates—0
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG RecordingsCode1
Improving Neonatal Care: An Active Dry-Contact Electrode-based Continuous EEG Monitoring System with Seizure Detection—0
Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges—0
BioSerenity-E1: a self-supervised EEG model for medical applications—0
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection—0
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
CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention—0
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior—0
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application—0
Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment—0
Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor—0
BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG—0
From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals—0
Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers—0
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots—0
Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring—0
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder—0
Energy-Efficient Seizure Detection Suitable for low-power Applications—0
Residual and bidirectional LSTM for epileptic seizure detectionCode2
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure DetectionCode0
Learning Robust Representations of Tonic-Clonic Seizures With Cyclic TransformerCode0
EPIDetect: Video-based convulsive seizure detection in chronic epilepsy mouse model for anti-epilepsy drug screening—0
Deep Latent Variable Modeling of Physiological SignalsCode1
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier—0
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG—0
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health SystemsCode0
Dynamic GNNs for Precise Seizure Detection and Classification from EEG DataCode2
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review—0
LightFF: Lightweight Inference for Forward-Forward AlgorithmCode0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital—0
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithmsCode1
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs—0
Time series segmentation for recognition of epileptiform patterns recorded via Microelectrode Arrays in vitro—0
Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats—0
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer—0
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model—0
Multi-Dimensional Framework for EEG Signal Processing and Denoising Through Tensor-based Architecture—0
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection—0
Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression—0
Show:102550
← PrevPage 1 of 4Next →
All datasetsTUH EEG Seizure CorpusCHB-MIT

Benchmark Results

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