Latest AI and machine learning research in seizures for healthcare professionals.
BACKGROUND AND OBJECTIVES: to identify predictors of progression to refractory status epilepticus (R...
Numerous automatic sleep stage classification systems have been developed, but none have become effe...
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transf...
OBJECTIVE: Attention decoding plays a vital role in daily life, where electroencephalography (EEG) h...
Monotherapy with antiepileptic drugs (AEDs) is the preferred strategy for the initial treatment of e...
Brain resection is curative for a subset of patients with drug resistant epilepsy but up to half wil...
Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from ...
General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate r...
OBJECTIVE: Predicting an individual's response to antidepressant medication remains one of the most ...
The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-compute...
AIM: To investigate oscillatory networks in bipolar depression, effects of a home-based tDCS treatme...
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decod...
Electroencephalography (EEG) artifacts are very common in clinical diagnosis and can heavily impact ...
BACKGROUND: Natural language processing (NLP) is increasingly being used to extract structured infor...
Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitati...
The world has a higher count of death rates as a result of Alcohol consumption. Identification is po...
Estimating intracranial current sources underlying the electromagnetic signals observed from extracr...
Deep learning has revolutionized EEG decoding, showcasing its ability to outperform traditional mach...
Decoding natural language from noninvasive brain signals has been an exciting topic with the potenti...
OBJECTIVE: Functional seizures (FS) look like epileptic seizures but are characterized by a lack of ...
OBJECTIVES: Monitoring seizure control metrics is key to clinical care of patients with epilepsy. Ma...