Latest AI and machine learning research in seizures for healthcare professionals.
Spiking neural networks (SNNs), as the third generation of neural networks, are based on biological ...
Electromagnetic source imaging (ESI) offers unique capability of imaging brain dynamics for studying...
Previous studies have demonstrated the potential of machine learning (ML) in classifying physical pa...
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making, plan...
Common misbehavior among children that prevents them from paying attention to tasks and interacting ...
Electroencephalography is a method of detecting and analyzing electrical activity in the brain. This...
Robotics and artificial intelligence have played a significant role in developing assistive technolo...
OBJECTIVES: Generalized paroxysmal fast activity (GPFA) is a key electroencephalographic (EEG) featu...
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...