Latest AI and machine learning research in seizures for healthcare professionals.
Auditory processing difficulties involve challenges in understanding speech in noisy environments ...
Lengthy subject- or session-specific data acquisition and calibration remain a key barrier to depl...
Electroencephalography (EEG) is extensively employed in medical diagnostics and brain-computer int...
The construction of large-scale, high-quality datasets is a fundamental prerequisite for developin...
As the complexity of safety-critical medical devices increases, so does the need for clear, verifi...
Predictive coding theory suggests that the brain continuously anticipates upcoming words to optimi...
. Understanding speech in the presence of background noise such as other speech streams is a difficu...
Predicting epileptic seizures presents a substantial difficulty in healthcare, with considerable imp...
BACKGROUND AND OBJECTIVES: Focal cortical dysplasia (FCD) is a common pathology for pharmacoresistan...
Accurate sleep stage classification is essential for diagnosing sleep disorders, particularly in a...
Central nervous system (CNS) drugs have the highest clinical attrition, often due to CNS-related tox...
Despite decades of advancements in diagnostic MRI, 30%-50% of temporal lobe epilepsy (TLE) patients ...
The growing convergence between Large Language Models (LLMs) and electroencephalography (EEG) rese...
The integration of brain-computer interfaces (BCIs), in particular electroencephalography (EEG), w...
Steady-State Visual Evoked Potential is a brain response to visual stimuli flickering at constant ...
Electroencephalogram (EEG) signals pose a challenge to emotion recognition (ER) tasks due to their c...
BACKGROUND: Considering the prevalence of Alzheimer's Disease (AD) among the aging population and th...
Epilepsy refers to the occurrence of two or more than two reiterative seizures. The occurrence of se...
Electroencephalography (EEG) signals are often contaminated with various physiological artifacts, se...
Acupuncture stimulations in somatosensory system can modulate spatiotemporal brain activity and impr...
Electroencephalogram (EEG) artifact removal has been investigated for decades with the goal of recon...