Hybrid one-dimensional CNN and DNN model for classification epileptic seizure

D Sunaryono, R Sarno, J Siswantoro… - … Journal of Intelligent …, 2022 - repository.ubaya.ac.id
Epilepsy is a common chronic brain disease caused by abnormal neuronal activity and the
occurrence of sudden or transient seizures. Electroencephalogram (EEG) is a non-invasive …

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 …

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 seizures detection on EEG signal using deep learning techniques

D Sagga, A Echtioui, R Khemakhem… - … for Signal and …, 2022 - ieeexplore.ieee.org
Epilepsy is a chronic brain disease that affects a large percentage of the psychiatric
population, and its progression can be fatal. It is a major public health problem as well as a …

[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 …

Automatic detection of epilepsy using CNN-GRU hybrid model

SP Kumar, J Ramachandran, N Narayanan… - … Based Computer-Aided …, 2022 - Springer
Epileptic seizures manifest as abnormal activity in the brain. The examination of long-term
EEG signals is a time-consuming and arduous task that can be made more efficient by using …

Epileptic seizure detection using a hybrid 1D CNN‐machine learning approach from EEG data

F Hassan, SF Hussain… - Journal of Healthcare …, 2022 - Wiley Online Library
Electroencephalography (EEG) is a widely used technique for the detection of epileptic
seizures. It can be recorded in a noninvasive manner to present the electrical activity of the …

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 …

Identification of Epileptic Seizures using CNN on Noisy EEG Signals

K Shekokar, S Dour - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
In modern medicine it is challenging task to detect neurological disorders. In generic way to
identify and understand abnormalities in electrical activities of the brain is difficult task. It is …

Implementation of Convolutional Neural Network for Epileptic Seizure Detection

S Loganathan, CM Sujatha, RG Nivash… - … in Engineering and …, 2022 - ieeexplore.ieee.org
Epilepsy is a neurological disorder and disability in which the brain activity becomes
abnormal causing seizures. A seizure is characterized by the unprovoked sudden alteration …