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 151–175 of 175 papers

TitleStatusHype
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures—0
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
Audio-Based Epileptic Seizure Detection—0
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates—0
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior—0
Automated Human Mind Reading Using EEG Signals for Seizure Detection—0
Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges—0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
Automatic Seizure Detection Using the Pulse Transit Time—0
BioSerenity-E1: a self-supervised EEG model for medical applications—0
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring—0
BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG—0
CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention—0
Change Point Methods on a Sequence of Graphs—0
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—0
Convolutional neural network for detection and classification of seizures in clinical data—0
Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment—0
Deep Architectures for Automated Seizure Detection in Scalp EEGs—0
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection—0
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information—0
Deep Classification of Epileptic Signals—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