SOTAVerified

Seizure prediction

Papers

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Showing 1–50 of 57 papers

TitleStatusHype
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural NetworksCode1
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithmCode1
An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals—0
Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models—0
Demo: Multi-Modal Seizure Prediction System—0
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting—0
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning—0
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced NetworkCode0
Pre-Ictal Seizure Prediction Using Personalized Deep Learning—0
SPIRIT: Low Power Seizure Prediction using Unsupervised Online-Learning and Zoom Analog Frontends—0
RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Prediction—0
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction—0
Time series segmentation for recognition of epileptiform patterns recorded via Microelectrode Arrays in vitro—0
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer—0
SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction—0
Time Scale Network: A Shallow Neural Network For Time Series Data—0
Unveiling Intractable Epileptogenic Brain Networks with Deep Learning Algorithms: A Novel and Comprehensive Framework for Scalable Seizure Prediction with Unimodal Neuroimaging Data in Pediatric Patients—0
Path Signatures for Seizure Forecasting—0
Comparative Analysis of Epileptic Seizure Prediction: Exploring Diverse Pre-Processing Techniques and Machine Learning Models—0
Data Augmentation for Seizure Prediction with Generative Diffusion Model—0
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction—0
Automatic Seizure Prediction using CNN and LSTM—0
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers—0
A library of quantitative markers of seizure severityCode0
Multi-Channel Vision Transformer for Epileptic Seizure Prediction—0
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction—0
Epileptic Seizure Risk Assessment by Multi-Channel Imaging of the EEG—0
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation—0
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?—0
EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence—0
C^2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction—0
Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence?—0
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction—0
Shift-invariant waveform learning on epileptic ECoG—0
Random Forest classifier for EEG-based seizure prediction—0
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction—0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Searching for waveforms on spatially-filtered epileptic ECoGCode0
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction—0
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionCode0
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction—0
Patient-independent Epileptic Seizure Prediction using Deep Learning Models—0
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording—0
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture—0
Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling—0
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review—0
Seizure Prediction Using Bidirectional LSTM—0
Predicting epileptic seizures using nonnegative matrix factorizationCode0
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN+FCNAUC0.84—Unverified
2CNNAUC0.59—Unverified