Epileptic seizures prediction using machine learning methods

SM Usman, M Usman, S Fong - … and mathematical methods in …, 2017 - Wiley Online Library
Epileptic seizures occur due to disorder in brain functionality which can affect patient's
health. Prediction of epileptic seizures before the beginning of the onset is quite useful for …

Epileptic seizures prediction using deep learning techniques

SM Usman, S Khalid, MH Aslam - Ieee Access, 2020 - ieeexplore.ieee.org
Epilepsy is a very common neurological disease that has affected more than 65 million
people worldwide. In more than 30% of the cases, people affected by this disease cannot be …

Epileptic seizure prediction using scalp electroencephalogram signals

SM Usman, S Khalid, Z Bashir - Biocybernetics and Biomedical …, 2021 - Elsevier
Epilepsy is a brain disorder in which patients undergo frequent seizures. Around 30% of
patients affected with epilepsy cannot be treated with medicines/surgical procedures …

[Retracted] Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches

M Natu, M Bachute, S Gite, K Kotecha… - … Methods in Medicine, 2022 - Wiley Online Library
Epileptic seizures occur due to brain abnormalities that can indirectly affect patient's health.
It occurs abruptly without any symptoms and thus increases the mortality rate of humans …

Machine learning for predicting epileptic seizures using EEG signals: A review

K Rasheed, A Qayyum, J Qadir… - IEEE reviews in …, 2020 - ieeexplore.ieee.org
With the advancement in artificial intelligence (AI) and machine learning (ML) techniques,
researchers are striving towards employing these techniques for advancing clinical practice …

[HTML][HTML] Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states

IB Slimen, L Boubchir, H Seddik - Journal of biomedical research, 2020 - ncbi.nlm.nih.gov
Epileptic seizures are known for their unpredictable nature. However, recent research
provides that the transition to seizure event is not random but the result of evidence …

A deep learning based ensemble learning method for epileptic seizure prediction

SM Usman, S Khalid, S Bashir - Computers in Biology and Medicine, 2021 - Elsevier
In epilepsy, patients suffer from seizures which cannot be controlled with medicines or
surgical treatments in more than 30% of the cases. Prediction of epileptic seizures is …

Efficient epileptic seizure prediction based on deep learning

H Daoud, MA Bayoumi - IEEE transactions on biomedical …, 2019 - ieeexplore.ieee.org
Epilepsy is one of the world's most common neurological diseases. Early prediction of the
incoming seizures has a great influence on epileptic patients' life. In this paper, a novel …

Seizure prediction using directed transfer function and convolution neural network on intracranial EEG

G Wang, D Wang, C Du, K Li, J Zhang… - … on Neural Systems …, 2020 - ieeexplore.ieee.org
Automatic seizure prediction promotes the development of closed-loop treatment system on
intractable epilepsy. In this study, by considering the specific information exchange between …

An end-to-end deep learning approach for epileptic seizure prediction

Y Xu, J Yang, S Zhao, H Wu… - 2020 2nd IEEE …, 2020 - ieeexplore.ieee.org
An accurate seizure prediction system enables early warnings before seizure onset of
epileptic patients. It is extremely important for drug-refractory patients. Conventional seizure …