[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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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
Epilepsy, a profoundly impacting neurological disorder, afflicts an estimated 65 million
individuals across the globe. Early detection of seizures, a critical aspect of epilepsy …
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 …
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
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 …
epileptic patients to improve their quality of life. In general, epileptic seizure detection using …