[HTML][HTML] Neural decoding of EEG signals with machine learning: a systematic review

M Saeidi, W Karwowski, FV Farahani, K Fiok, R Taiar… - Brain Sciences, 2021 - mdpi.com
Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

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 …

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 …

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 …

[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 …

[HTML][HTML] Two-layer LSTM network-based prediction of epileptic seizures using EEG spectral features

K Singh, J Malhotra - Complex & Intelligent Systems, 2022 - Springer
Epilepsy is a chronic nervous disorder, which disturbs the normal daily routine of an
epileptic patient due to sudden seizure onset. In this era of smart healthcare, automated …

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 …

Epileptic seizure detection: A deep learning approach

R Hussein, H Palangi, R Ward, ZJ Wang - arXiv preprint arXiv:1803.09848, 2018 - arxiv.org
Epilepsy is the second most common brain disorder after migraine. Automatic detection of
epileptic seizures can considerably improve the patients' quality of life. Current …

D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism

AA Khan, RK Madendran… - CAAI Transactions …, 2023 - Wiley Online Library
Epilepsy is considered as a serious brain disorder in which patients frequently experience
seizures. The seizures are defined as the unexpected electrical changes in brain neural …

Diagnosis of human psychological disorders using supervised learning and nature-inspired computing techniques: a meta-analysis

P Kaur, M Sharma - Journal of medical systems, 2019 - Springer
A psychological disorder is a mutilation state of the body that intervenes the imperative
functioning of the mind or brain. In the last few years, the number of psychological disorders …