Brain Epileptic Seizure Detection using Joint CNN and Exhaustive Feature Selection with RNN-BLSTM Classifier

CSL Prasanna, MZU Rahman, MD Bayleyegan - IEEE Access, 2023 - ieeexplore.ieee.org
Brain Epilepsy seizure is a critical disorder, which is an uncontrolled burst of electrical
activity of brain. The early detection of brain seizure can save the life of humans. The …

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 …

Epilepsy Detection from Brain EEG Using Convolutional Neural Network

D Khorat, S Sarkar - Proceedings of International Conference on Industrial …, 2022 - Springer
Epilepsy is a chronic neurological disorder. Due to the random occurrence of seizures and
time-consuming as well as costly diagnosis process, millions of epileptic patient cannot be …

A Novel Approach on Epileptic Seizures Detection Using Convolutional Neural Network

A Mahajan, S Degadwala, P Talukder… - 2020 4th …, 2020 - ieeexplore.ieee.org
Epileptic seizures are observed in almost all age groups and has become a predominant
issue. Electroencephalogram (EEG) is a very common modality used to record the brain …

IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network

M Ramkumar, SS Jamaesha, MS Gowtham… - Signal, Image and Video …, 2024 - Springer
Epilepsy, a highly prevalent neurological disorder, profoundly impacts the lives of patients
with periodic and unexpected seizures that lead to serious injury or death. This research …

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 …

Automatic epileptic seizure detection using MSA-DCNN and LSTM techniques with EEG signals

M Anita, AM Kowshalya - Expert Systems with Applications, 2024 - Elsevier
To identify epilepsy, Electroencephalography (EEG) is an important and common tool used
to study the electrical activity of the human brain. The machine learning-based classifier is …

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 …

Convolutional Neural Network for Seizure Detection Using Scalp Electroencephalogram (EEG)

S Kumar, RR Janghel, SP Sahu - … on Recent Trends in Computing: ICRTC …, 2021 - Springer
Epilepsy is one of the most common neurological brain dysfunctions after stroke, Alzheimer
and migraine in humans. Epilepsy is a disease that affects approximately 50 million people …

Deep C-LSTM neural network for epileptic seizure and tumor detection using high-dimension EEG signals

Y Liu, YX Huang, X Zhang, W Qi, J Guo, Y Hu… - IEEE …, 2020 - ieeexplore.ieee.org
Electroencephalography (EEG) is a common and significant tool for aiding in the diagnosis
of epilepsy and studying the human brain electrical activity. Previously, the traditional …