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 26–50 of 175 papers

TitleStatusHype
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
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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