Latest AI and machine learning research in seizures for healthcare professionals.
Modified Electric Convulsive Therapy (MECT) is an efficacious physical therapy in treating mental di...
Mental health, especially stress, plays a crucial role in the quality of life. During different phas...
Automatic deep-learning models used for sleep scoring in children with obstructive sleep apnea (OSA)...
"Attention-Deficit Hyperactivity Disorder (ADHD)" is a neuro-developmental disorder in children unde...
OBJECTIVE: Normal interictal [ F]FDG-PET can be predicted from the corresponding T1w MRI with Genera...
Electroencephalography (EEG) is a non-invasive method employed to discern human behaviors by monitor...
Brain-computer interfaces (BCI) enable direct communication between the brain and a computer or othe...
Magnetoencephalography (MEG) is a powerful non-invasive diagnostic modality for presurgical epilepsy...
OBJECTIVE: This study aimed to explore sensitive detection methods for pathological high-frequency o...
Continuous decoding of hand kinematics has been recently explored for the intuitive control of elect...
Classified as biomedical signal processing, cerebral signal processing plays a key role in human-com...
Deep neural networks have recently been successfully extended to EEG-based driving fatigue detection...
UNLABELLED: is to assess the possibilities of predicting epileptiform activity using the neuronal a...
Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interactio...
Automated clinical EEG analysis using machine learning (ML) methods is a growing EEG research area. ...
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...
BACKGROUND: Sugammadex has been associated with increases in the bispectral index (BIS). We evaluate...
In recent years, artificial intelligence, particularly deep learning (DL), has demonstrated utility ...