Latest AI and machine learning research in seizures for healthcare professionals.
Robots are becoming increasingly sophisticated in the execution of complex tasks. However, an area t...
INTRODUCTION: This research aims to investigate the protective action of menthol dissolved in dimeth...
Depressive disorder (DD) has become one of the most common mental diseases, seriously endangering bo...
The aim of this study was to develop machine learning classification models using electroencephalogr...
Recent advancements in machine learning and deep learning (DL) based neural decoders have significan...
A high cognitive load can overload a person, potentially resulting in catastrophic accidents. It is ...
OBJECTIVE: Pediatric status epilepticus is one of the most frequent pediatric emergencies, with high...
The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by...
Human-robot interaction is a rapidly developing field and robots have been taking more active roles ...
ConceFT (concentration of frequency and time) is a new time-frequency (TF) analysis method which com...
BACKGROUND/AIM: The aim herein was to investigate epileptiform discharges on electroencephalogram (E...
Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. ...
Many brain-computer interfaces require a high mental workload. Recent research has shown that this c...
In the context of electroencephalogram (EEG)-based driver drowsiness recognition, it is still challe...
Mild cognitive impairment (MCI) is a neuropsychological syndrome that is characterized by cognitive ...
A large share of traffic accidents is related to driver fatigue. In recent years, many studies have ...
. Single-trial electroencephalography (EEG) classification is a promising approach to evaluate the c...
(SCZ) is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations,...
Epilepsy is a group of brain disorders characterised by an enduring predisposition to generate unpro...
In recent years, the use of electroencephalography (EEG) has grown as a tool for diagnostic and brai...
Complex brain disorders, including Alzheimer's dementia, sleep disorders, and epilepsy, are chronic ...