Epileptic seizure detection using convolutional neural networks and recurrence plots of EEG signals

S Ravi, A Shahina, N Ilakiyaselvan… - Multimedia Tools and …, 2022 - Springer
Epilepsy is a neurological disorder causing abnormal activities in the brain such as seizures,
unusual behavior, sensations and loss of awareness. This disorder can be diagnosed with …

[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 …

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 …

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 …

Epileptic seizure detection using convolution neural networks

W Sukaria, J Malasa, S Kumar, R Kumar… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Epilepsy is a central nervous system disorder that affects a substantial number of world's
population and disrupts the quality of life of the sufferers. A number of diagnostic techniques …

Detection of epileptic seizure events using pre‐trained convolutional neural network, VGGNet and ResNet

DK Thara, BG Premasudha, S Krivic - Expert Systems, 2023 - Wiley Online Library
Epilepsy is a life threatening neurological disorder. The person with epilepsy suffers from
recurrent seizures. Sudden emission of electrical signal in the nerves of the human brain is …

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 …

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 …

Epileptic eeg signal classification using multi-class convolutional neural network

S Ramakrishnan, ASM Murugavel… - … conference on vision …, 2019 - ieeexplore.ieee.org
Epileptic seizure is a common neurological syndrome wherein patients suffer from repeating
seizures. It happens due to many provoking reasons namely genetic, physiologic, brain …

Epileptic seizure detection using multi-channel EEG wavelet power spectra and 1-D convolutional neural networks

RV Sharan, S Berkovsky - … of the IEEE Engineering in Medicine …, 2020 - ieeexplore.ieee.org
The use of feature extraction and selection from EEG signals has shown to be useful in the
detection of epileptic seizure segments. However, these traditional methods have more …