Latest AI and machine learning research in seizures for healthcare professionals.
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decod...
Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitati...
BACKGROUND: Natural language processing (NLP) is increasingly being used to extract structured infor...
The world has a higher count of death rates as a result of Alcohol consumption. Identification is po...
Estimating intracranial current sources underlying the electromagnetic signals observed from extracr...
Deep learning has revolutionized EEG decoding, showcasing its ability to outperform traditional mach...
Decoding natural language from noninvasive brain signals has been an exciting topic with the potenti...
OBJECTIVES: Monitoring seizure control metrics is key to clinical care of patients with epilepsy. Ma...
OBJECTIVE: Functional seizures (FS) look like epileptic seizures but are characterized by a lack of ...
Theta oscillations, ranging from 4-8 Hz, play a significant role in spatial learning and memory func...
Emotion is a complex state caused by the functioning of the human brain in relation to various event...
Although there are many treatment options available for depression, a large portion of patients wit...
BACKGROUND: Detecting Attention-Deficit/Hyperactivity Disorder (ADHD) in children is crucial for tim...
This paper comprehensively reviews hardware acceleration techniques and the deployment of convolutio...
Depression is a prevalent mental disorder that affects a significant portion of the global populatio...
Sleep staging plays a critical role in evaluating the quality of sleep. Currently, most studies are ...
World Health Organization (WHO) has identified depression as a significant contributor to global dis...
BACKGROUND: Social Anxiety Disorder is traditionally diagnosed using subjective scales that may lack...
BACKGROUND: Emotion is an important area in neuroscience. Cross-subject emotion recognition based on...
Inspired by the well-known Papez circuit theory and neuroscience knowledge of reinforcement learning...
In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for epileptic ele...