Epilepsy Prediction

3 papers with code • 1 benchmarks • 1 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

Predicting epileptic seizures using nonnegative matrix factorization

ostojanovic/seizure_prediction medrxiv, PLOS ONE (under review) 2019

The resulting method yields a computationally and conceptually simple, interpretable model of EEG signals of preictal and interictal states, which shows a good performance for the task of seizure prediction.

Augmenting DL with Adversarial Training for Robust Prediction of Epilepsy Seizures

aub-mind/Robust-Seizure-Prediction 1 Jun 2020

Epilepsy is a chronic medical condition that involves abnormal brain activity causing patients to lose control of awareness or motor activity.

Time-Series Representation Learning via Temporal and Contextual Contrasting

emadeldeen24/TS-TCC 26 Jun 2021

In this paper, we propose an unsupervised Time-Series representation learning framework via Temporal and Contextual Contrasting (TS-TCC), to learn time-series representation from unlabeled data.