Latest AI and machine learning research in seizures for healthcare professionals.
The utilization of motor imagery-based brain-computer interfaces (MI-BCI) has been shown to assist s...
BACKGROUND: Post-stroke epilepsy (PSE) is a critical complication that worsens both prognosis and qu...
The performance gains achieved by deep learning models nowadays are mainly attributed to the usage o...
OBJECTIVE: Deep learning methods have shown potential in automating the detection of interictal epil...
Driving stress is a critical factor leading to road traffic accidents. Despite numerous studies that...
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...
. Accurate and timely prediction of epileptic seizures is crucial for empowering patients to mitigat...
EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. Recently...
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 ...
The quality of electroencephalogram (EEG) signals directly impacts the performance of brain-computer...
. Virtual reality (VR) simulates real-life events and scenarios and is widely utilized in education,...
OBJECTIVE: This study was undertaken to develop a machine learning (ML) model to forecast initial se...
Biological communication system for neurological disorder patients is similar to the Brain Computer ...
Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performanc...
In the field of brain-computer interfaces (BCIs), the potential for leveraging deep learning techniq...
The perception and recognition of objects around us empower environmental interaction. Harnessing th...
This study developed an automated language learning teaching assessment system based on electroencep...
Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability o...