[PDF][PDF] Metaheuristics with Deep Learning Enabled Epileptic Seizure Classification for Smart Healthcare on Cyborg Robots

AA Malibari, MK Nour, FN Al-Wesabi, R Alabdan… - hcisj.com
Cyborgs are human beings who are supported with technological components to enhance
their physical or sensory abilities. The primary aim of cyborg intelligence is to combine …

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 …

A new design of epileptic seizure detection using hybrid heuristic-based weighted feature selection and ensemble learning

V Bhandari, MD Huchaiah - International Journal of Intelligent Robotics …, 2022 - Springer
The neurological disorder named Epilepsy is diagnosed through visual inspection and
manual understanding based on the Electroencephalogram (EEG) signals. Several …

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 …

Hybrid cuckoo finch optimisation based machine learning classifier for seizure prediction using EEG signals in IoT network

B Kapoor, B Nagpal - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) is an indispensable part of the healthcare system since
it creates a link between the doctor and the patient for remote medical consultations. IoT …

Detection of epileptic seizure from EEG signal data by employing machine learning algorithms with hyperparameter optimization

AA Rahman, F Faisal, MM Nishat… - … Conference on Bio …, 2021 - ieeexplore.ieee.org
Epileptic seizure refers to a brief occurrence of signs in the brain caused by abnormally high
or synchronized neuronal activity. With the utilization of EEG signal, the epileptic seizure can …

[Retracted] Enhanced Feature Extraction‐based CNN Approach for Epileptic Seizure Detection from EEG Signals

P Dhar, VK Garg, MA Rahman - Journal of healthcare …, 2022 - Wiley Online Library
One of the most common neurological disorders is epilepsy, which disturbs the nerve cell
activity in the brain, causing seizures. Electroencephalography (EEG) signals are used to …

A Fusion of CNN and Grey Wolf Optimization-Enhanced BiGRU for Epileptic Seizure Recognition Using EEG Signals

S De, P Mukherjee, D Biswas… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Epilepsy, a profoundly impacting neurological disorder, afflicts an estimated 65 million
individuals across the globe. Early detection of seizures, a critical aspect of epilepsy …

Brain epilepsy seizure detection using bio-inspired krill herd and artificial alga optimized neural network approaches

A Abugabah, AA AlZubi, M Al-Maitah… - Journal of Ambient …, 2021 - Springer
Nowadays, Epilepsy is one of the chronic severe neurological diseases; it has been
identified with the help of brain signal analysis. The brain signals are recorded with the help …

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 …