Neural decoding of EEG signals with machine learning: a systematic review
Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
Machine learning for predicting epileptic seizures using EEG signals: A review
With the advancement in artificial intelligence (AI) and machine learning (ML) techniques,
researchers are striving towards employing these techniques for advancing clinical practice …
researchers are striving towards employing these techniques for advancing clinical practice …
A deep learning based ensemble learning method for epileptic seizure prediction
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 …
surgical treatments in more than 30% of the cases. Prediction of epileptic seizures is …
Epileptic seizures prediction using deep learning techniques
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 …
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
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 …
It occurs abruptly without any symptoms and thus increases the mortality rate of humans …
Two-layer LSTM network-based prediction of epileptic seizures using EEG spectral features
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 patient due to sudden seizure onset. In this era of smart healthcare, automated …
Epileptic seizure prediction using scalp electroencephalogram signals
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 …
patients affected with epilepsy cannot be treated with medicines/surgical procedures …
Epileptic seizure detection: A deep learning approach
Epilepsy is the second most common brain disorder after migraine. Automatic detection of
epileptic seizures can considerably improve the patients' quality of life. Current …
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 …
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 …
functioning of the mind or brain. In the last few years, the number of psychological disorders …