Latest AI and machine learning research in seizures for healthcare professionals.
BACKGROUND: Attention-Deficit-Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental dis...
The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...
BACKGROUND: Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool, which di...
While foundation models excel in text, image, and video domains, the critical biological signals, ...
Dravet syndrome is a developmental and epileptic encephalopathy, characterized by the early onset ...
Closed-loop brain stimulation holds potential as personalized treatment for drug-resistant epileps...
Identifying preictal states -- periods during which seizures are more likely to occur -- remains a...
Electroencephalography (EEG) is a method of recording brain activity that shows significant promis...
Epilepsy is a prevalent neurological disorder characterized by recurrent seizures, which are sudden ...
INTRODUCTION: Mental state refers to a person's state of mind from various perspectives, including c...
ObjectiveWe aimed to develop advanced machine learning models using electroencephalogram (EEG) and e...
Structural neuroimaging studies of patients with Juvenile Myoclonic Epilepsy (JME) typically present...
This work presents xEEGNet, a novel, compact, and explainable neural network for EEG data analysis...
Measuring code understandability is both highly relevant and exceptionally challenging. This paper...
While it is beneficial to objectively determine whether a subject is meditating, most research in ...
Epilepsy, affecting approximately 50 million people globally, is characterized by abnormal brain a...
Neuroadaptive haptics offers a path to more immersive extended reality (XR) experiences by dynamic...
This study explores the use of electroencephalography (EEG)-based brain wave monitoring to enable ...
The reconstruction of 3D objects from brain signals has gained significant attention in brain-comp...
Early dementia diagnosis requires biomarkers sensitive to both structural and functional brain cha...
Simultaneous EEG-fMRI recordings are increasingly used to investigate brain activity by leveraging...