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
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital—0
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
Deep Learning Approaches for Seizure Video Analysis: A Review—0
Seizure detection from Electroencephalogram signals via Wavelets and Graph Theory metrics—0
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
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
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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