Latest AI and machine learning research in seizures for healthcare professionals.
Driven by the remarkable capabilities of machine learning, brain-computer interfaces (BCIs) are carv...
Lie detection is crucial in domains such as security, law enforcement, and clinical assessments. Tr...
This study aimed to classify patients' focal (frontal, temporal, parietal, occipital), multifocal, a...
Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not val...
This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosth...
In recent years, Artificial Intelligence (AI), with a specific emphasis on attention mechanisms inst...
Early and precise diagnosis of dyslexia is crucial for implementing timely intervention to reduce it...
Epilepsy is a prevalent neurological disorder with significant detrimental effects on health. Accura...
Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive ...
Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the i...
BACKGROUND: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic...
OBJECTIVE: Dravet syndrome (DS) is a developmental and epileptic encephalopathy with a wide spectrum...
Glycyrrhiza glabra (G. glabra) phytocompounds have been reported to interact with neurological targe...
During affective priming, perception of an emotional "prime stimulus" influences the reaction time t...
Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain-computer interface (BCI)...
OBJECTIVE: Classifying obsessive-compulsive disorder (OCD) using brain data remains challenging. Res...
Long-term monitoring of biomedical signals is essential for the modern clinical management of neurol...
This study aims to deepen the understanding and classification of tinnitus through a comprehensive a...
In the context of lifestyle changes, stress and other environmental factors have resulted in the sud...
In this study, we introduce an end-to-end single microphone deep learning system for source separati...
Magnetoencephalography (MEG) is a vital non-invasive tool for epilepsy analysis, as it captures high...