Latest AI and machine learning research in seizures for healthcare professionals.
OBJECTIVE: Behavioral interventions have been shown to ameliorate the electroencephalogram (EEG) dyn...
This dataset is from an EEG brain-computer interface (BCI) study investigating the use of deep learn...
. Accurate classification of electroencephalogram (EEG) signals is crucial for advancing brain-compu...
INTRODUCTION: Precise localization of the epileptogenic zone is critical for successful epilepsy sur...
Stroke, an abrupt cerebrovascular ailment resulting in brain tissue damage, has prompted the adoptio...
Paroxysmal kinesigenic dyskinesia (PKD) is a rare neurological disorder marked by transient involunt...
In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufac...
The utilization of motor imagery-based brain-computer interfaces (MI-BCI) has been shown to assist s...
The performance gains achieved by deep learning models nowadays are mainly attributed to the usage o...
BACKGROUND: Post-stroke epilepsy (PSE) is a critical complication that worsens both prognosis and qu...
BACKGROUND AND OBJECTIVES: Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) are progress...
Driving stress is a critical factor leading to road traffic accidents. Despite numerous studies that...
OBJECTIVE: Deep learning methods have shown potential in automating the detection of interictal epil...
Driving under the influence of alcohol (DUIA) is closely associated with alcohol use disorder (AUD)....
To transform continuous speech into words, the human brain must resolve variability across utterance...
The most cost-effective data collection method is electroencephalography (EEG), which obtains meanin...
EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. Recently...
. Accurate and timely prediction of epileptic seizures is crucial for empowering patients to mitigat...
Depression is a complex mental illness that has significant effects on people as well as society. Th...
In electroencephalogram (EEG) cognitive recognition research, the combined use of artificial neural ...
. Virtual reality (VR) simulates real-life events and scenarios and is widely utilized in education,...