Latest AI and machine learning research in seizures for healthcare professionals.
In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for epileptic ele...
The emergence of telemedicine and artificial intelligence (AI) has set the stage for a possible revo...
Brain-computer interface (BCI) technology bridges the direct communication between the brain and mac...
In brain-computer interface (BCI), building accurate electroencephalogram (EEG) classifiers for spec...
Verifying schizophrenia (SZ) can be assisted by deep learning techniques and patterns in brain activ...
One kind of autonomous vehicle that can take instructions from the driver by reading their electroen...
Event-related potentials (ERPs) reflect neurophysiological changes of the brain in response to exter...
The deficit in social interaction skills among individuals with autism spectrum disorder (ASD) is st...
Electroencephalogram (EEG) signals play an important role in brain-computer interface (BCI) applicat...
OBJECTIVE: Clinical visual intraoperative electrocorticography (ioECoG) reading intends to localize ...
Automatic seizure detection has significant value in epilepsy diagnosis and treatment. Although a va...
Fatigue driving is one of the leading causes of traffic accidents, and the rapid and accurate detect...
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...
A Brain-computer interface (BCI) system establishes a novel communication channel between the human ...
Autism Spectrum Disorder (ASD) is a neurological disorder that influences a person's comprehension a...
Emotional recognition is highly important in the field of brain-computer interfaces (BCIs). However,...
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...
Alzheimer's Disease (AD) is an irreversible, degenerative condition that, while incurable, can have ...
Despite extensive algorithms for epilepsy prediction via machine learning, most models are tailored ...