AHW-BGOA-DNN: A novel deep learning model for epileptic seizure detection

HA Glory, C Vigneswaran, SS Jagtap, R Shruthi… - Neural Computing and …, 2021 - Springer
Abstract “Brain–Computer Interface”(BCI)—a real-life support system provides a way for
epileptic patients to improve their quality of life. In general, epileptic seizure detection using …

A hybrid deep learning approach for epileptic seizure detection in EEG signals

I Ahmad, X Wang, D Javeed, P Kumar… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Epileptic-net: an improved epileptic seizure detection system using dense convolutional block with attention network from EEG

MS Islam, K Thapa, SH Yang - Sensors, 2022 - mdpi.com
Epilepsy is a complex neurological condition that affects a large number of people
worldwide. Electroencephalography (EEG) measures the electrical activity of the brain and …

[HTML][HTML] 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 …

Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model

SK Pandey, RR Janghel, PK Mishra… - Signal, Image and Video …, 2023 - Springer
Epilepsy is a neurological disorder that affects the normal functioning of the brain. More than
10% of the population across the globe is affected by this disorder. Electroencephalogram …

[HTML][HTML] Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches

S Mekruksavanich, A Jitpattanakul - Machine Learning and Knowledge …, 2023 - mdpi.com
Epileptic seizures are a prevalent neurological condition that impacts a considerable portion
of the global population. Timely and precise identification can result in as many as 70% of …

SeizureNet: a model for robust detection of epileptic seizures based on convolutional neural network

W Zhao, W Wang - Cognitive Computation and Systems, 2020 - Wiley Online Library
Epilepsy is a neurological disorder and generally detected by electroencephalogram (EEG)
signals. The manual inspection of epileptic seizures is a time‐consuming and laborious …

ESEEG: an efficient epileptic seizure detection using EEG signals based on machine learning algorithms

DS AbdElminaam, AG Fahmy, YM Ali… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Epileptic seizure Disease is a substantial health burden and cause of death worldwide. For
epileptic seizure localization and classification, It's critical to be able to detect recorded …

An artificial neural network model for epilepsy seizure detection

MZ Abedin, S Akther… - 2019 5th International …, 2019 - ieeexplore.ieee.org
Epilepsy, neurological disorder, exposed by recrudescent seizures affects many people
throughout the entire world. Visual inspection of encephalography (EEG) recorded by …

[HTML][HTML] Automatic detection of various epileptic seizures from EEG signal using deep learning networks

S Sheykhivand, S Meshgini, Z Mousavi - Computational Intelligence in …, 2020 - isee.ui.ac.ir
Using an intelligent method to automatically detect epileptic seizures in medical applications
is one of the most important challenges in recent years to reduce the workload of doctors in …