Latest AI and machine learning research in seizures for healthcare professionals.
Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excel...
Constructing an efficient and accurate epilepsy detection system is an urgent research task. In this...
Due to the phenomenon of "involution" in China, the current generation of college and university stu...
Physiological signal processing plays a key role in next-generation human-machine interfaces as phys...
The use of deep neural networks for electroencephalogram (EEG) classification has rapidly progressed...
In recent years, artificial intelligence (AI) technology has promoted the development of electroence...
Existing driving fatigue detection methods rarely consider how to effectively fuse the advantages of...
The ability to reconstruct the kinematic parameters of hand movement using noninvasive electroenceph...
During surgery for foci-related epilepsy, neurosurgeons face significant difficulties in identifying...
BACKGROUND: This protocol describes the design of a multicenter randomized controlled trial of robot...
Attention deficit hyperactivity disorder (ADHD) is considered one of the most common psychiatric dis...
Parkinson's disease (PD) is characterized by slowed movements, speech disorders, an inability to con...
It is becoming increasingly attractive to detect human emotions using electroencephalography (EEG) b...
Robot-aided gait training (RAGT) plays a crucial role in providing high-dose and high-intensity task...
As many as 80% of critically ill patients develop delirium increasing the need for institutionalizat...
OBJECTIVE: Invasive video-electroencephalography (iVEEG) is the gold standard for evaluation of refr...
Current models on Explainable Artificial Intelligence (XAI) have shown a lack of reliability when ev...
Inhibitory control processes are an important aspect of executive functions and goal-directed behavi...
OBJECTIVE: Electronic medical records allow for retrospective clinical research with large patient c...
Seizure detection using machine learning is a critical problem for the timely intervention and manag...
Perception of social stimuli (faces and bodies) relies on "holistic" (i.e., global) mechanisms, as s...