Latest AI and machine learning research in seizures for healthcare professionals.
. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and l...
Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the b...
The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease...
This study focuses on epilepsy detection using hybrid CNN-SVM and DNN-SVM models, combined with feat...
Self-supervised learning (SSL) is a potent method for leveraging unlabelled data. Nonetheless, EEG s...
Diverse evidence supports the theory that bilingual language users have language-invariant represent...
Epilepsy is a common neurological disorder characterized by a significant rate of disability. Accura...
Electroencephalography (EEG) is widely utilized for train driver state detection due to its high acc...
The neural activity patterns of localized brain regions are crucial for recognizing brain intentions...
The underlying time-variant and subject-specific brain dynamics lead to inconsistent distributions i...
BACKGROUND: We aimed to identify risk factors for initial seizure episodes in ICU patients using var...
Stroke remains a leading cause of mortality and long-term disability worldwide, frequently resulting...
BACKGROUND & OBJECTIVE: Alzheimer's Disease (AD) patients at multiple stages of disease progression ...
OBJECTIVES: Previous research has underscored the necessity of high-density EEG for accurate and rel...
Burst suppression (BS) is an electroencephalogram (EEG) pattern observed in patients undergoing gene...
Brain-computer interface (BCI) systems allow users to communicate with external devices by translati...
Seizure frequency is essential for evaluating epilepsy treatment, ensuring patient safety, and reduc...
Auditory attention decoding from electroencephalogram (EEG) could infer to which source the user is ...
OBJECTIVE: To develop an objective ensemble machine learning model combining clinical features and q...
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical ...
INTRODUCTION: Over the past decades, the integration of modern technologies - such as electronic hea...