Latest AI and machine learning research in seizures for healthcare professionals.
Automated clinical EEG analysis using machine learning (ML) methods is a growing EEG research area. ...
Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interactio...
Deep learning is increasingly being proposed for detecting neurological and psychiatric diseases fro...
Electroencephalograms (EEG) is used to assess patients' clinical records of depression (EEG). The di...
Versatile and energy-efficient neural signal processors are in high demand in brain-machine interfac...
Human-robot interaction (HRI) describes scenarios in which both human and robot work as partners, sh...
In recent years, artificial intelligence, particularly deep learning (DL), has demonstrated utility ...
BACKGROUND: Sugammadex has been associated with increases in the bispectral index (BIS). We evaluate...
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...
Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all subjects can achi...
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...
The current practices of designing neural networks rely heavily on subjective judgment and heuristic...
The ability to reconstruct the kinematic parameters of hand movement using noninvasive electroenceph...
Existing driving fatigue detection methods rarely consider how to effectively fuse the advantages of...
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...