Impact of eeg parameters detecting dementia diseases: A systematic review
LM Sánchez-Reyes, J Rodríguez-Reséndiz… - IEEE …, 2021 - ieeexplore.ieee.org
Dementia diseases are increasing rapidly, according to the World Health Organization
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …
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 …
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
Background Epilepsy is one of the most commonly seen neurologic disorders worldwide
and has generally caused seizures. Electroencephalography (EEG) is widely used in …
and has generally caused seizures. Electroencephalography (EEG) is widely used in …
Pediatric seizure prediction in scalp EEG using a multi-scale neural network with dilated convolutions
Objective: Epileptic seizure prediction based on scalp electroencephalogram (EEG) is of
great significance for improving the quality of life of patients with epilepsy. In recent years, a …
great significance for improving the quality of life of patients with epilepsy. In recent years, a …
Exploring the applicability of transfer learning and feature engineering in epilepsy prediction using hybrid transformer model
Objective: Epilepsy prediction algorithms offer patients with drug-resistant epilepsy a way to
reduce unintended harm from sudden seizures. The purpose of this study is to investigate …
reduce unintended harm from sudden seizures. The purpose of this study is to investigate …
A deep fourier neural network for seizure prediction using convolutional neural network and ratios of spectral power
P Peng, L Xie, H Wei - International journal of neural systems, 2021 - World Scientific
Epileptic seizure prediction is one of the most used therapeutic adjuvant strategies for drug-
resistant epilepsy. Conventional methods usually adopt handcrafted features and manual …
resistant epilepsy. Conventional methods usually adopt handcrafted features and manual …
Multi-channel vision transformer for epileptic seizure prediction
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 …
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 …
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …
EEG-based seizure prediction via model uncertainty learning
Deep neural networks (DNNs) have the powerful ability to automatically extract efficient
features, which makes them prominent in electroencephalogram (EEG) based seizure …
features, which makes them prominent in electroencephalogram (EEG) based seizure …
Compact convolutional neural network with multi-headed attention mechanism for seizure prediction
X Ding, W Nie, X Liu, X Wang, Q Yuan - International Journal of …, 2023 - World Scientific
Epilepsy is a neurological disorder related to frequent seizures. Automatic seizure prediction
is crucial for the prevention and treatment of epilepsy. In this paper, we propose a novel …
is crucial for the prevention and treatment of epilepsy. In this paper, we propose a novel …