Latest AI and machine learning research in seizures for healthcare professionals.
Millions of people around the globe are impacted by falls annually, making it a significant public h...
Self-supervised learning (SSL) is a challenging task in sleep stage classification (SSC) that is cap...
OBJECT: Transformer-based neural networks have been applied to the electroencephalography (EEG) deco...
Sleep staging is essential for sleep assessment and plays an important role in disease diagnosis, wh...
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...
In the domain of passive brain-computer interface applications, the identification of emotions is bo...
BACKGROUND: Treadmill based Robotic-Assisted Gait Training (t-RAGT) provides for automated locomotor...
The electroencephalogram (EEG) signal has become a highly effective decoding target for emotion reco...
The motor imagery (MI) classification has been a prominent research topic in brain-computer interfac...
Humans show a remarkable ability in solving the cocktail party problem. Decoding auditory attention ...
Motor imagery electroencephalography (MI-EEG) is usually used as a driving signal in neuro-rehabilit...
Closed-loop neuromodulation, especially using the phase of the electroencephalography (EEG) rhythm t...
OBJECTIVE: To identify newly diagnosed patients with drug-resistant epilepsy (DRE) based on radiomic...
STUDY OBJECTIVES: Polysomnography (PSG) currently serves as the benchmark for evaluating sleep disor...
In neuroscience, phase synchronization (PS) is a crucial mechanism that facilitates information proc...
Decoding lower-limb motor imagery (MI) is highly important in brain-computer interfaces (BCIs) and r...
Signal decomposition techniques utilizing multi-channel spatial features are critical for analyzing,...
Empathy is central to individual and societal well-being. Numerous studies have examined how trait o...
Motor imagery (MI)-electroencephalography (EEG) decoding plays an important role in brain-computer i...
BACKGROUND AND OBJECTIVES: Early neuroprognostication in children with reduced consciousness after c...