Latest AI and machine learning research in seizures for healthcare professionals.
Interictal epileptiform discharges (IEDs) such as spikes and sharp waves represent pathological elec...
AIMS: Few personalized monitoring models for valproic acid (VPA) in pediatric epilepsy patients (PEP...
Traditional tactile brain-computer interfaces (BCIs), particularly those based on steady-state somat...
INTRODUCTION: Motor Imagery (MI) Electroencephalography (EEG) signals are non-stationary and dynamic...
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by communication barr...
BACKGROUND: Fast-ripples (FR) are short (∼10 ms) high-frequency oscillations (HFO) between 200 and 6...
IMPORTANCE: Current epilepsy management protocols often depend on anti-seizure medication (ASM) tria...
This systematic literature review explores the intersection of neuroscience and deep learning in the...
Individuals with neuropsychiatric disorders experience both physical and mental difficulties, hinder...
Artificial intelligence (AI) systems are widely applied in various industries and everyday life, par...
The prediction of epileptic seizures is a classical research problem, representing one of the most c...
BACKGROUND: Real-time monitoring of pediatric epileptic seizures poses a significant challenge in cl...
With recent significant advancements in artificial intelligence, the necessity for more reliable rec...
Sleep disorders have become a significant health concern in modern society. To investigate and diagn...
Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation....
Millions of people around the globe are impacted by falls annually, making it a significant public h...
Sleep staging is essential for sleep assessment and plays an important role in disease diagnosis, wh...
OBJECT: Transformer-based neural networks have been applied to the electroencephalography (EEG) deco...
Self-supervised learning (SSL) is a challenging task in sleep stage classification (SSC) that is cap...
EEG signal analysis can be used to study brain activity and the function and structure of neural net...
PURPOSE: This study aims to evaluate the similarity, readability, and alignment with current scienti...