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 Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
A hybrid automated detection of epileptic seizures in EEG based on wavelet and machine learning techniques—0
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller—0
Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance—0
Change Point Methods on a Sequence of Graphs—0
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature ManifoldsCode0
Epileptic Seizure Detection: A Deep Learning Approach—0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
Deep Classification of Epileptic Signals—0
Optimizing Channel Selection for Seizure Detection—0
Gated Recurrent Networks for Seizure Detection—0
The Temple University Hospital Seizure Detection Corpus—0
Objective evaluation metrics for automatic classification of EEG events—0
Deep Architectures for Automated Seizure Detection in Scalp EEGs—0
Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection—0
Neonatal Seizure Detection using Convolutional Neural Networks—0
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection—0
Deep Recurrent Neural Networks for seizure detection and early seizure detection systems—0
Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection—0
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
Learning Robust Features using Deep Learning for Automatic Seizure DetectionCode0
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals—0
A Novel Matrix Representation of Discrete Biomedical Signals—0
An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and OctaveCode0
Fast SVM training using approximate extreme points—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