Identification of TLE Focus from EEG Signals by Using Deep Learning Approach
Temporal lobe epilepsy, a neurological disease that causes seizures as a result of
excessive neural activities in the brain, is the most common type of focal seizure, accounting …
excessive neural activities in the brain, is the most common type of focal seizure, accounting …
Hybrid convolutional neural network for localization of epileptic focus based on iEEG
Epileptic focus localization by analysing intracranial electroencephalogram (iEEG) plays a
critical role in successful surgical therapy of resection of the epileptogenic lesion. However …
critical role in successful surgical therapy of resection of the epileptogenic lesion. However …
Classification of epileptic IEEG signals by CNN and data augmentation
X Zhao, J Solé-Casals, B Li, Z Huang… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Epileptic focus localization in patients with epileptic seizures is essential when surgery is
needed. Recent studies show that this can be done automatically using machine learning …
needed. Recent studies show that this can be done automatically using machine learning …
Semi-supervised learning for epileptic focus localization using deep convolutional autoencoder
H Daoud, M Bayoumi - 2019 IEEE Biomedical Circuits and …, 2019 - ieeexplore.ieee.org
Epileptic focus localization is an important process for successful epileptic surgery. The
intracranial Electroencephalogram (iEEG) recording helps the neurosurgeons to take the …
intracranial Electroencephalogram (iEEG) recording helps the neurosurgeons to take the …
Epileptic focus localization using transfer learning on multi-modal EEG
Y Yang, F Li, J Luo, X Qin, D Huang - Frontiers in Computational …, 2023 - frontiersin.org
The standard treatments for epilepsy are drug therapy and surgical resection. However,
around 1/3 of patients with intractable epilepsy are drug-resistant, requiring surgical …
around 1/3 of patients with intractable epilepsy are drug-resistant, requiring surgical …
Deep learning approach for epileptic focus localization
H Daoud, M Bayoumi - IEEE transactions on biomedical circuits …, 2019 - ieeexplore.ieee.org
The task of epileptic focus localization receives great attention due to its role in an effective
epileptic surgery. The clinicians highly depend on the intracranial EEG data to make a …
epileptic surgery. The clinicians highly depend on the intracranial EEG data to make a …
Automatic identification of epileptic focus on high-frequency components in interictal iEEG
The localization of the seizure focus affected by epilepsy is crucial for epilepsy treatment due
to observing long-term interictal intracranial electroencephalogram (iEEG) for categorizing …
to observing long-term interictal intracranial electroencephalogram (iEEG) for categorizing …
Localization of epileptic foci by using convolutional neural network based on iEEG
Epileptic focus localization is a critical factor for successful surgical therapy of resection of
epileptogenic tissues. The key challenging problem of focus localization lies in the accurate …
epileptogenic tissues. The key challenging problem of focus localization lies in the accurate …
Automatic Detection of Epileptic Focus in Ripple and Fast Ripple Bands of Interictal iEEG based on Multi-band Analysis
MS Akter, MR Islam, K Fukumori… - … in Information and …, 2020 - ieeexplore.ieee.org
Recently, high-frequency oscillations (HFOs), which consists of ripple and fast ripple
frequency components, are the promising indicator for epilepsy surgery. The automatic …
frequency components, are the promising indicator for epilepsy surgery. The automatic …
Epileptic focus localization using discrete wavelet transform based on interictal intracranial EEG
Over the past decade, with the development of machine learning, discrete wavelet transform
(DWT) has been widely used in computer-aided epileptic electroencephalography (EEG) …
(DWT) has been widely used in computer-aided epileptic electroencephalography (EEG) …