[HTML][HTML] Epileptic seizures detection using deep learning techniques: A review
A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
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 …
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
A Shoeibi, N Ghassemi, M Khodatars… - … Signal Processing and …, 2022 - Elsevier
Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …
diagnosis will help the clinicians to provide accurate treatment for the patients. The …
A hybrid deep learning approach for epileptic seizure detection in eeg signals
Early detection and proper treatment of epilepsy is essential and meaningful to those who
suffer from this disease. The adoption of deep learning (DL) techniques for automated …
suffer from this disease. The adoption of deep learning (DL) techniques for automated …
Epileptic seizure detection based on bidirectional gated recurrent unit network
Y Zhang, S Yao, R Yang, X Liu, W Qiu… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Visual inspection of long-term electroencephalography (EEG) is a tedious task for
physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural …
physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural …
Patient-independent seizure detection based on channel-perturbation convolutional neural network and bidirectional long short-term memory
Automatic seizure detection is of great significance for epilepsy diagnosis and alleviating the
massive burden caused by manual inspection of long-term EEG. At present, most seizure …
massive burden caused by manual inspection of long-term EEG. At present, most seizure …
Automatic epileptic seizure detection in EEG signals using sparse common spatial pattern and adaptive short-time Fourier transform-based synchrosqueezing …
Epilepsy can now be diagnosed more accurately and quickly due to computer-aided seizure
detection utilizing Electroencephalography (EEG) recordings. In this work, a novel method …
detection utilizing Electroencephalography (EEG) recordings. In this work, a novel method …
Significant low-dimensional spectral-temporal features for seizure detection
Absence seizure as a generalized onset seizure, simultaneously spreading seizure to both
sides of the brain, involves around ten-second sudden lapses of consciousness. It common …
sides of the brain, involves around ten-second sudden lapses of consciousness. It common …
Epileptic classification with deep-transfer-learning-based feature fusion algorithm
J Cao, D Hu, Y Wang, J Wang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Epilepsy ictal detection based on scalp electroencephalograms (EEGs) has been
comprehensively studied in the past decades. But few attentions have been paid to the …
comprehensively studied in the past decades. But few attentions have been paid to the …
Patient-specific method of sleep electroencephalography using wavelet packet transform and Bi-LSTM for epileptic seizure prediction
C Cheng, B You, Y Liu, Y Dai - Biomedical Signal Processing and Control, 2021 - Elsevier
Epileptic seizures during sleep increase the probability of complications and sudden death
in patients. Effective epileptic seizure prediction in sleep can assist doctors (patients) in …
in patients. Effective epileptic seizure prediction in sleep can assist doctors (patients) in …