A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal

N Jiwani, K Gupta, MHU Sharif… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
Neurologists visually inspect electroencephalogram (EEG) reports to get the epilepsy
diagnosis. Scholars have suggested automated techniques to detect the ailment due to the …

CNN based framework for detection of epileptic seizures

M Sameer, B Gupta - Multimedia tools and applications, 2022 - Springer
Epilepsy is a common neurological disease that uses electroencephalogram (EEG) data for
its detection purpose. Neurologists make the diagnosis by visual inspection of EEG reports …

A CNN-LSTM hybrid network for automatic seizure detection in EEG signals

S Shanmugam, S Dharmar - Neural Computing and Applications, 2023 - Springer
Epilepsy is a chronic neurological disorder. Epileptics are prone to sudden seizures that
cause disruptions in their daily lives. The separation of epileptic and non-epileptic activity on …

Deep learning based epileptic seizure detection with EEG data

S Poorani, P Balasubramanie - International Journal of System Assurance …, 2023 - Springer
Epilepsy is one kind of life frightening and exigent intellect mayhem in which affected
patients endure recurrent seizures. Large numbers of people are affected by this chaos …

Automatic seizure detection using fully convolutional nested LSTM

Y Li, Z Yu, Y Chen, C Yang, Y Li… - International journal of …, 2020 - World Scientific
The automatic seizure detection system can effectively help doctors to monitor and diagnose
epilepsy thus reducing their workload. Many outstanding studies have given good results in …

Automatic epileptic seizure detection using LSTM networks

KS Shekokar, S Dour - World Journal of Engineering, 2022 - emerald.com
Purpose The purpose of this work is to make a computer aided detection system for epileptic
seizures. Epilepsy is a neurological disorder characterized as the recurrence of two or more …

Deep-EEG: an optimized and robust framework and method for EEG-based diagnosis of epileptic seizure

WA Mir, M Anjum, S Shahab - Diagnostics, 2023 - mdpi.com
Detecting brain disorders using deep learning methods has received much hype during the
last few years. Increased depth leads to more computational efficiency, accuracy, and …

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

UR Acharya, SL Oh, Y Hagiwara, JH Tan… - Computers in biology and …, 2018 - Elsevier
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of
epilepsy. The EEG signal contains information about the electrical activity of the brain …

Applications of artificial intelligence in automatic detection of epileptic seizures using EEG signals: A review

S Saminu, G Xu, S Zhang… - Artificial Intelligence …, 2023 - ojs.bonviewpress.com
Correctly interpreting an Electroencephalography (EEG) signal with high accuracy is a
tedious and time-consuming task that may take several years of manual training due to its …

Detection of epileptic seizures using convolutional neural network

S Gupta, M Sameer, N Mohan - 2021 International Conference …, 2021 - ieeexplore.ieee.org
One of the most prevalent neurological ailments, Epilepsy, affects around 1-2% of the entire
population of earth. It is the second only of stroke when it comes to neurological sickness …