Latest AI and machine learning research in seizures for healthcare professionals.
Neurologists often face challenges in identifying epileptic activities within multichannel EEG recor...
Focal lesions of the human neocortex often cause drug-resistant epilepsy, yet ​surgical resection of...
One of the most promising applications for electroencephalogram (EEG)-based brain-computer interface...
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...
OBJECTIVE: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are prevalent neurodegenerativ...
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...
With recent significant advancements in artificial intelligence, the necessity for more reliable rec...
BACKGROUND: Real-time monitoring of pediatric epileptic seizures poses a significant challenge in cl...
The prediction of epileptic seizures is a classical research problem, representing one of the most c...
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....
Cognitive impairment in patients with moyamoya disease (MMD) manifests earlier than clinical symptom...
This study investigates the effectiveness of amplitude transformation in enhancing the performance a...