AIMC Topic: Electroencephalography
Clear Filters Showing 1741 to 1750 of 2147 articles
A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.
Clinical EEG and neuroscience
Apr 21, 2014
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of ...
Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.
Clinical EEG and neuroscience
Apr 14, 2014
Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major depressive disorder (MDD) tre...
HBUED: An EEG dataset for emotion recognition.
Journal of affective disorders
Sep 15, 2025
Emotion recognition via electroencephalogram (EEG) data is crucial for improving human-computer interaction. In practice, researchers require a substantial quantity of EEG samples to train and validate models. However, existing EEG datasets typically...
Abnormalities of brain dynamics based on large-scale cortical network modeling in autism spectrum disorder.
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, the impact of increased synapses on the neurophysiological activity of ASD remains unclear. To address this, we propose a large-scale cortical network m...
Toward a Universal Map of EEG: A Semantic, Low-Dimensional Manifold for EEG Classification, Clustering, and Prognostication.
Annals of neurology
Aug 1, 2025
OBJECTIVE: Prognostication in patients with disorders of consciousness (DOCs) remains challenging because of heterogeneous etiologies, pathophysiologies and, consequently, highly variable electroencephalograms (EEGs). Here, we use EEG patterns that a...
Analysis of the neural mechanisms of social anxiety based on EEG features and machine learning and construction of a diagnostic model.
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Aug 1, 2025
Social anxiety is a common psychological problem, and its accurate diagnosis and investigation of underlying neurophysiological mechanisms are of significant importance. This study aims to explore the neuroelectrophysiological characteristics and dia...
Empirical mode decomposition in clinical signal analysis: A systematic review.
Computers in biology and medicine
Aug 1, 2025
This systematic review examines the transformative applications of empirical mode decomposition (EMD) in healthcare, focusing on its ability to analyse diverse physiological signals. By a thorough exploration of key databases and stringent study sele...
Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.
Neurobiology of disease
Aug 1, 2025
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA receptor (GABAR) conductance. Despite widespread use, benzodiazepines fail in over one-third of patients, p...
MT-RCAF: A Multi-Task Residual Cross Attention Framework for EEG-based emotion recognition and mood disorder detection.
Computer methods and programs in biomedicine
Aug 1, 2025
BACKGROUND AND OBJECTIVE: Prolonged abnormal emotions can gradually evolve into mood disorders such as anxiety and depression, making it critical to study the relationship between emotions and mood disorders to explore the causes of mood disorders. E...
A subject transfer neural network fuses Generator and Euclidean alignment for EEG-based motor imagery classification.
Journal of neuroscience methods
Aug 1, 2025
BACKGROUND: Brain-computer interface (BCI) facilitates the connection between human brain and computer, enabling individuals to control external devices indirectly through cognitive processes. Although it has great development prospects, the signific...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31802
- Neural Networks, Computer 30130
- Algorithms 27295
- Deep Learning 26798
- Artificial Intelligence 24726
- Robotics 13374
- Image Processing, Computer-Assisted 9699
- Retrospective Studies 9297
- Magnetic Resonance Imaging 6308
- Reproducibility of Results 5657
- Tomography, X-Ray Computed 4855
- Support Vector Machine 4752
- Computational Biology 4312
- Brain 4105
- Computer Simulation 3926
Recent Journals
- Scientific reports 6504
- Sensors (Basel, Switzerland) 4794
- PloS one 4136
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1910
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1157
- Journal of chemical information and modeling 1036
- Nature communications 1003
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 870
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 842