Latest AI and machine learning research in seizures for healthcare professionals.
Estimating cognitive workload levels is an emerging research topic in the cognitive neuroscience dom...
PURPOSE: Multiple Sclerosis (MS) is a neuro-inflammatory disease of the Central Nervous System (CNS)...
OBJECTIVE: Despite recent advances, the decoding of auditory attention from brain signals remains a ...
Conversation analysis (CA) to identify metaphoric language (ML) has been proposed as a tool for the ...
BACKGROUND: Upper limb dysfunction after stroke seriously affects quality of life. Bilateral trainin...
Epilepsy is a condition that affects 50 million individuals globally, significantly impacting their ...
Identifying the location, the spatial extent and the electrical activity of distributed brain source...
In drug-resistant epilepsy, a visual inspection of intracranial electroencephalography (iEEG) signal...
Epilepsy is a neurological disorder (the third most common, following stroke and migraines). A key a...
In electroencephalography (EEG) classification paradigms, data from a target subject is often diffic...
This study presents a comprehensive examination of sex-related differences in resting-state electroe...
PURPOSE OF REVIEW: Machine Learning (ML) and Artificial Intelligence (AI) are data-driven techniques...
Depression severity can be classified into distinct phases based on the Beck depression inventory (B...
Dementia and mild cognitive impairment (MCI) represent significant health challenges in an aging pop...
This is a correspondence on published article on "ChatGPT's responses to questions related to epilep...
Within the broader context of improving interactions between artificial intelligence and humans, the...
Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) build a communication path between...
Major depressive disorder (MDD) is a prevalent psychiatric disorder globally. There are many assays ...
Recently, electroencephalogram (EEG) emotion recognition has gradually attracted a lot of attention....
Mental stress is an increasingly common psychological issue leading to diseases such as depression, ...
In this study, we aim to develop a machine learning model to predict the level of coordination betwe...