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
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
Deep Architectures for Automated Seizure Detection in Scalp EEGs—0
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—0
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals—0
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures—0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
Analog Seizure Detection for Implanted Responsive Neurostimulation—0
A review on Epileptic Seizure Detection using Machine Learning—0
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs—0
Change Point Methods on a Sequence of Graphs—0
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works—0
A Meta-GNN approach to personalized seizure detection and classification—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
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots—0
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection—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
CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention—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