Latest AI and machine learning research in seizures for healthcare professionals.
A real-time and reliable automatic detection system for epileptic seizures holds significant value i...
Structural and functional brain networks are generated from two scan sequences of magnetic resonance...
OBJECTIVE: This study aimed to investigate the neurophysiological effects of obstructive sleep apnea...
BACKGROUND AND OBJECTIVE: Practicing mindfulness is a mental process toward interoceptive awareness,...
Decoding motor imagery (MI) using deep learning in cortical level has potential in brain computer in...
Bilateral robotic rehabilitation has proven helpful in the recovery of upper limb motor function in ...
The calibration procedure for a wearable P300 brain-computer interface (BCI) greatly impact the user...
Cyclic alternating patterns (CAP) occur in electroencephalogram (EEG) signals during non-rapid eye m...
Affective brain-computer interface is an important part of realizing emotional human-computer intera...
Seizure prediction using EEG has significant implications for the daily monitoring and treatment of ...
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...