Latest AI and machine learning research in seizures for healthcare professionals.
Notification systems that convey urgency without adding cognitive burden are crucial in human-comput...
The integration of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) ca...
Emotional recognition is highly important in the field of brain-computer interfaces (BCIs). However,...
Autism Spectrum Disorder (ASD) is a neurological disorder that influences a person's comprehension a...
A Brain-computer interface (BCI) system establishes a novel communication channel between the human ...
Electroencephalography (EEG) or Magnetoencephalography (MEG) source imaging aims to estimate the und...
Independent vector analysis (IVA) can be viewed as an extension of independent component analysis (I...
Despite extensive algorithms for epilepsy prediction via machine learning, most models are tailored ...
Alzheimer's Disease (AD) is an irreversible, degenerative condition that, while incurable, can have ...
To date, a comprehensive comparison of Riemannian decoding methods with deep convolutional neural ne...
Numerous studies have shown that musical stimulation can activate corresponding functional brain are...
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain ima...
Auditory spatial attention detection (ASAD) seeks to determine which speaker in a surround sound fie...
Due to the difficulty in acquiring motor imagery electroencephalography (MI-EEG) data and ensuring i...
Performing mathematical calculations is a cognitive activity that can affect biological signals. Thi...
Cochlear implant (CI) is a neural prosthesis that can restore hearing for patients with severe to pr...
Seizures pose a significant health hazard for over 50 million individuals with epilepsy worldwide, w...
BACKGROUND: Valproic acid (VPA) is a commonly used broad-spectrum antiepileptic drug. For elderly ep...
Pilot behavior is crucial for aviation safety. This study aims to investigate the EEG characteristic...
BACKGROUND: Automatic prediction of seizures is a major goal in the field of epilepsy. However, the ...
Vigilance state is crucial for the effective performance of users in brain-computer interface (BCI) ...