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 76–100 of 175 papers

TitleStatusHype
Gated Recurrent Networks for Seizure Detection—0
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection—0
Importance of methodological choices in data manipulation for validating epileptic seizure detection models—0
Improving Neonatal Care: An Active Dry-Contact Electrode-based Continuous EEG Monitoring System with Seizure Detection—0
Improving self-supervised pretraining models for epileptic seizure detection from EEG data—0
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals—0
Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance—0
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection—0
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals—0
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning—0
Machine-Learning-Powered Neural Interfaces for Smart Prosthetics and Diagnostics—0
Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy—0
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots—0
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals—0
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS—0
A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks—0
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals—0
A hybrid automated detection of epileptic seizures in EEG based on wavelet and machine learning techniques—0
A Meta-GNN approach to personalized seizure detection and classification—0
Analog Seizure Detection for Implanted Responsive Neurostimulation—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—0
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers—0
An Explainable Model for EEG Seizure Detection based on Connectivity Features—0
A Novel Matrix Representation of Discrete Biomedical Signals—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov 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