Z Shi, Z Liao, H Tabata - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
Epilepsy is a chronic disorder that leads to transient neurological dysfunction and is clinically diagnosed primarily by electroencephalography. Several intelligent systems have …
PK Sethy, M Panigrahi, K Vijayakumar… - International Journal of …, 2023 - Springer
The electroencephalogram (EEG) signal is very important in the diagnosis of epilepsy. Long- term EEG recordings of an epileptic patient contain a huge amount of EEG data. Therefore …
Epileptic seizures are unpredictable events due to sudden abnormal electrical activities in the brain of epilepsy patients. A seizure can be predicted by analyzing the EEG signals to …
P Srihari, V Santosh, S Ganapathy - Multimedia Tools and Applications, 2023 - Springer
Today's hospitals make use of state-of-the-art methods such as magnetic resonance imaging (MRI) and electroencephalogram (EEG) signal predictions in order to predict the …
T Abdallah, N Jrad, F Abdallah… - Computers in Biology …, 2023 - Elsevier
Epilepsy is a neurological disorder characterized by recurring seizures, detected by electroencephalography (EEG). EEG signals can be detected by manual time-consuming …
The rapidly rising seizure cases and poor patient-to-neurologist ratio necessitate the development of an efficient automatic seizure detection system. The most commonly used …
Y Gao, A Liu, L Wang, R Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, which is crucial to improving patients' quality of life. Many deep learning-based …
Epilepsy is a common neurological disease where the earlier disease prediction significantly impacts those patients' lives. In this paper, a novel epilepsy seizure prediction …
There exists various neurological disorder based diseases like tumor, sleep disorder, headache, dementia and Epilepsy. Among these, epilepsy is the most common neurological …