P Handa, Lavanya, N Goel, N Garg - Artificial Intelligence Review, 2024 - Springer
Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …
Detection and classification of epileptic seizures from the EEG signals have gained significant attention in recent decades. Among other signals, EEG signals are extensively …
B Wang, Y Xu, S Peng, H Wang, F Li - Sensors, 2024 - mdpi.com
Epilepsy is a common neurological disorder, and its diagnosis mainly relies on the analysis of electroencephalogram (EEG) signals. However, the raw EEG signals contain limited …
PA Chavan, S Desai - Multimedia Tools and Applications, 2024 - Springer
Seizures are defined as short occurrences of unusual elevated brain electrical activity that can result in a variety of symptoms and actions where Seizures are the main sign of …
N Abderrahim, A Echtioui, R Khemakhem… - Circuits, Systems, and …, 2024 - Springer
Epilepsy is a common neurological disorder that affects millions of people worldwide, and many patients do not respond well to traditional anti-epileptic drugs. To improve the lives of …
In this paper, we propose two models of oscillatory neural networks the Deep Oscillatory Neural Network (DONN) and a convolutional variation of it named Oscillatory Convolutional …
M Nallur, M Sandhya, Z Khan… - 2024 International …, 2024 - ieeexplore.ieee.org
The superiority of life for people with epilepsy can be greatly improved with the assistance of accurate seizure prediction and early warning. An automatic prediction model is required to …