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 …

Novel deep learning framework for detection of epileptic seizures using EEG signals

S Mallick, V Baths - Frontiers in Computational Neuroscience, 2024 - frontiersin.org
Introduction Epilepsy is a chronic neurological disorder characterized by abnormal electrical
activity in the brain, often leading to recurrent seizures. With 50 million people worldwide …

Autonomous deep feature extraction based method for epileptic EEG brain seizure classification

M Woodbright, B Verma, A Haidar - Neurocomputing, 2021 - Elsevier
Epilepsy is a highly prevalent disorder that can affect a person's quality of life. People with
epilepsy are commonly affected by reoccurring seizures that potentially cause injury or …

A review on EEG based epileptic seizures detection using deep learning techniques

S Cherukuvada, R Kayalvizhi - 2022 4th International …, 2022 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG) modalities have
been used in several screening procedures to diagnose epileptic seizures with a high-level …

Epileptic seizure detection: A deep learning approach

R Hussein, H Palangi, R Ward, ZJ Wang - arXiv preprint arXiv:1803.09848, 2018 - arxiv.org
Epilepsy is the second most common brain disorder after migraine. Automatic detection of
epileptic seizures can considerably improve the patients' quality of life. Current …

[HTML][HTML] Automated diagnosis of epileptic seizures using eeg image representations and deep learning

T Kaur, TK Gandhi - Neuroscience Informatics, 2023 - Elsevier
Background The identification of seizure and its complex waveforms in
electroencephalography (EEG) through manual examination is time consuming, tedious …

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 …

A multi-view deep learning framework for EEG seizure detection

Y Yuan, G Xun, K Jia, A Zhang - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
The recent advances in pervasive sensing technologies have enabled us to monitor and
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …

[HTML][HTML] HCLA_CBiGRU: Hybrid convolutional bidirectional GRU based model for epileptic seizure detection

M Natu, M Bachute, K Kotecha - Neuroscience Informatics, 2023 - Elsevier
Seizure detection from EEG signals is crucial for diagnosing and treating neurological
disorders. However, accurately detecting seizures is challenging due to the complexity and …

A Machine Learning Framework for Robust Epileptic Seizure Detection from EEG Sign

M Singh, G Jagyasi, M Garg, A Jain… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Millions of individuals throughout the world suffer from epilepsy, a neurological illness
characterized by frequent seizures. To improve patient safety and quality of life, seizure …