Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review

R Cherian, EG Kanaga - Journal of neuroscience methods, 2022 - Elsevier
Epilepsy is a chronic neurological disorder with a comparatively high prevalence rate. It is a
condition characterized by repeated and unprovoked seizures. Seizures are managed with …

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

A Shoeibi, P Moridian, M Khodatars… - Computers in biology …, 2022 - Elsevier
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …

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 …

Spatio-temporal MLP network for seizure prediction using EEG signals

C Li, C Shao, R Song, G Xu, X Liu, R Qian, X Chen - Measurement, 2023 - Elsevier
In this paper, we propose an end-to-end epilepsy seizure prediction method based on multi-
layer perceptrons (MLPs). The proposed method mainly contains two functional blocks: the …

[HTML][HTML] Deep-EEG: an optimized and robust framework and method for EEG-based diagnosis of epileptic seizure

WA Mir, M Anjum, S Shahab - Diagnostics, 2023 - mdpi.com
Detecting brain disorders using deep learning methods has received much hype during the
last few years. Increased depth leads to more computational efficiency, accuracy, and …

EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning

Z Deng, C Li, R Song, X Liu, R Qian, X Chen - Engineering Applications of …, 2023 - Elsevier
Feature embeddings derived from continuous mapping using the deep neural network are
critical for accurate classification in seizure prediction tasks. However, the embeddings of …

[HTML][HTML] Multi-channel vision transformer for epileptic seizure prediction

R Hussein, S Lee, R Ward - Biomedicines, 2022 - mdpi.com
Epilepsy is a neurological disorder that causes recurrent seizures and sometimes loss of
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …

An overview of EEG-based machine learning methods in seizure prediction and opportunities for neurologists in this field

B Maimaiti, H Meng, Y Lv, J Qiu, Z Zhu, Y Xie, Y Li… - Neuroscience, 2022 - Elsevier
The unpredictability of epileptic seizures is one of the most problematic aspects of the field of
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …

Seizure detection and prediction by parallel memristive convolutional neural networks

C Li, C Lammie, X Dong… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
During the past two decades, epileptic seizure detection and prediction algorithms have
evolved rapidly. However, despite significant performance improvements, their hardware …

[HTML][HTML] Epilepsy seizures prediction based on nonlinear features of EEG signal and gradient boosting decision tree

X Xu, M Lin, T Xu - International Journal of Environmental Research and …, 2022 - mdpi.com
Epilepsy is a common neurological disorder with sudden and recurrent seizures. Early
prediction of seizures and effective intervention can significantly reduce the harm suffered by …