Latest AI and machine learning research in seizures for healthcare professionals.
STUDY OBJECTIVE: Nonconvulsive status epilepticus is a commonly overlooked cause of altered mental s...
To effectively detect motion sickness induced by virtual reality environments, we developed a classi...
Valproic acid (VPA) is a primary medication for epilepsy, yet its hepatotoxicity consistently raises...
Pattern recognition based on network connections has recently been applied to the brain-computer int...
Temporal lobe epilepsy (TLE) stands as the predominant adult focal epilepsy syndrome, characterized ...
Identifying major depressive disorder (MDD) using objective physiological signals has become a press...
As a cutting-edge technology of connecting biological brain and external devices, brain-computer int...
Emotion recognition based on Electroencephalogram (EEG) has been applied in various fields, includin...
Alzheimer's disease (AD) is a progressive and incurable neurologi-cal disorder with a rising mortali...
CNN has demonstrated remarkable performance in EEG signal detection, yet it still faces limitations ...
Despite years of research, we are still not able to reliably predict who might benefit from electroc...
Electroencephalograph (EEG) brain-computer interfaces (BCI) have potential to provide new paradigms ...
Anticipating human decisions while performing complex tasks remains a formidable challenge. This stu...
In recent years, deep learning has shown potential and efficiency in a wide area including computer ...
In recent decades, many different governmental and nongovernmental organizations have used lie detec...
Toward the development of effective and efficient brain-computer interface (BCI) systems, precise de...
Electroencephalogram (EEG) is one of the most widely used brain computer interface (BCI) approaches....
The emerging matrix learning methods have achieved promising performances in electroencephalogram (E...
OBJECTIVE: Disrupted brain network connectivity underlies major depressive disorder (MDD). Altered E...
BACKGROUND: Over 60% of epilepsy patients globally are children, whose early diagnosis and treatment...
Timely and accurately seizure detection is of great importance for the diagnosis and treatment of ep...