[Retracted] EEG‐Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review
I Ahmad, X Wang, M Zhu, C Wang, Y Pi… - Computational …, 2022 - Wiley Online Library
Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward developing novel and efficient …
disrupts the lifestyle of affected individuals. Toward developing novel and efficient …
A review of epileptic seizure detection using machine learning classifiers
Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain
signals produced by brain neurons. Neurons are connected to each other in a complex way …
signals produced by brain neurons. Neurons are connected to each other in a complex way …
Automated epileptic seizure detection in pediatric subjects of CHB-MIT EEG database—a survey
Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures.
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …
EEG seizure detection: concepts, techniques, challenges, and future trends
AA Ein Shoka, MM Dessouky, A El-Sayed… - Multimedia Tools and …, 2023 - Springer
A central nervous system disorder is usually referred to as epilepsy. In epilepsy brain activity
becomes abnormal, leading to times of abnormal behavior or seizures, and at times loss of …
becomes abnormal, leading to times of abnormal behavior or seizures, and at times loss of …
Epileptic seizure detection using machine learning: Taxonomy, opportunities, and challenges
Epilepsy is a life-threatening neurological brain disorder that gives rise to recurrent
unprovoked seizures. It occurs due to abnormal chemical changes in our brains. For many …
unprovoked seizures. It occurs due to abnormal chemical changes in our brains. For many …
Multi-channel vision transformer for epileptic seizure prediction
Epilepsy is a neurological disorder that causes recurrent seizures and sometimes loss of
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …
Development of Machine Learning based Epileptic Seizureprediction using Web of Things (WoT)
KKS Liyakat, KP Paradeshi, JA Shaikh… - …, 2022 - search.proquest.com
A significant chronic neurological illness called epilepsy and identified by examining Brain
signals that Brain Neurons' produce. In order to generate messages and communicate with …
signals that Brain Neurons' produce. In order to generate messages and communicate with …
Detecting epileptic seizures using machine learning and interpretable features of human EEG
OE Karpov, S Afinogenov, VV Grubov… - The European Physical …, 2023 - Springer
Epilepsy is a neurological disorder distinguished by sudden and unexpected seizures. To
diagnose epilepsy, clinicians register the signals of brain electric activity …
diagnose epilepsy, clinicians register the signals of brain electric activity …
Feature separation and adversarial training for the patient-independent detection of epileptic seizures
Y Yang, F Li, X Qin, H Wen, X Lin… - Frontiers in Computational …, 2023 - frontiersin.org
An epileptic seizure is the external manifestation of abnormal neuronal discharges, which
seriously affecting physical health. The pathogenesis of epilepsy is complex, and the types …
seriously affecting physical health. The pathogenesis of epilepsy is complex, and the types …
EEG feature selection via global redundancy minimization for emotion recognition
A common drawback of EEG-based emotion recognition is that volume conduction effects of
the human head introduce interchannel dependence and result in highly correlated …
the human head introduce interchannel dependence and result in highly correlated …