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
Deep Learning for EEG Seizure Detection in Preterm Infants—0
Deep Learning Approaches for Seizure Video Analysis: A Review—0
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates—0
Deep density ratio estimation for change point detection—0
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
Deep Recurrent Neural Networks for seizure detection and early seizure detection systems—0
Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers—0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
Audio-Based Epileptic Seizure Detection—0
Dynamical Component Analysis (DyCA) and its application on epileptic EEG—0
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers—0
Deep Classification of Epileptic Signals—0
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data 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
Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment—0
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures—0
Convolutional neural network for detection and classification of seizures in clinical data—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—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
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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