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 density ratio estimation for change point detection—0
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots—0
Deep Learning Approaches for Seizure Video Analysis: A Review—0
Deep Learning for EEG Seizure Detection in Preterm Infants—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
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection—0
Dynamical Component Analysis (DyCA) and its application on epileptic EEG—0
CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention—0
A hybrid automated detection of epileptic seizures in EEG based on wavelet and machine learning techniques—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring—0
Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine—0
EPIDetect: Video-based convulsive seizure detection in chronic epilepsy mouse model for anti-epilepsy drug screening—0
Energy Constraints Improve Liquid State Machine Performance—0
A Novel Matrix Representation of Discrete Biomedical Signals—0
EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
Energy-Efficient Seizure Detection Suitable for low-power Applications—0
Energy-Efficient Tree-Based EEG Artifact Detection—0
Enhancing Epileptic Seizure Detection with EEG Feature Embeddings—0
BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG—0
BioSerenity-E1: a self-supervised EEG model for medical applications—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