Latest AI and machine learning research in seizures for healthcare professionals.
Self-supervised learning has produced impressive results in multimedia domains of audio, vision and ...
Epilepsy, traditionally conceptualized as a neurological disorder characterized by a persistent incl...
Decoding EEG-based, Motor Imagery Brain-Computer Interfaces (MI-BCI) in a subject-independent manner...
Hypoxic-ischemic (HI) events in newborns can trigger seizures, which are highly associated with late...
Graph neural networks show strong capability of learning spatial relationships between channels. In ...
Interictal epileptic discharge (IED) detection from electroencephalography (EEG) is an important but...
Brain-Computer Interface (BCI) is a promising neu-rotechnology offering non-muscular control of exte...
Recognition of familiar music on brainwaves through machine learning (ML) can be instrumental in inn...
Aphasia, a language disorder primarily caused by a stroke, is traditionally diagnosed using behavior...
We present a method that uses a convolutional neural network (CNN) called EEGNeX to extract and clas...
450,000 children with epilepsy in the United States suffer lifelong disability and are at risk of su...
The diagnosis of schizophrenia (SZ) can be challenging due to its diverse symptom presentation. As s...
Epilepsy, a major neurological disease, requires careful diagnosis and treatment. However, the detec...
EEG source imaging is an indispensable tool for non-invasive study of brain function. Existing metho...
Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through elect...
Suicide poses a global health crisis with significant social and economic impact. Prevention may be ...
Interictal epileptiform discharges (IEDs) are electrophysiological events that intermittently occur ...
Brain-computer interfaces (BCIs) suffer from limited accuracy due to noisy electroencephalography (E...
With the rapid development of machine learning (ML) in biomedical signal processing, ML-based neonat...
Due to inter-subject variability in electroencephalogram (EEG) signals, the generalization ability o...
Background: Any treatment of multiple sclerosis should preserve mental function, considering how c...