AIMC Topic: Electroencephalography
Clear Filters Showing 1781 to 1790 of 2148 articles
EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition.
IEEE transactions on neural networks and learning systems
Jun 1, 2025
Integrating prior knowledge of neurophysiology into neural network architecture enhances the performance of emotion decoding. While numerous techniques emphasize learning spatial and short-term temporal patterns, there has been a limited emphasis on ...
CT-DCENet: Deep EEG Denoising via CNN-Transformer-Based Dual-Stage Collaborative Ensemble Learning.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Electroencephalogram (EEG) artifact removal has been investigated for decades with the goal of reconstructing the clean signals for the subsequent EEG analysis. However, existing denoising methods still have limited capabilities to handle the highly ...
Neural Manifold Decoder for Acupuncture Stimulations With Representation Learning: An Acupuncture-Brain Interface.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Acupuncture stimulations in somatosensory system can modulate spatiotemporal brain activity and improve cognitive functions of patients with neurological disorders. The correlation between these somatosensory stimulations and dynamical brain response...
Discovery of Shared Latent Nonlinear Effective Connectivity for EEG-Based Depression Detection.
IEEE transactions on neural networks and learning systems
Jun 1, 2025
Granger causality (GC) effective connectivity (EC) calculated from electroencephalogram (EEG) signals has been widely used in mental disorder detection. However, the existing methods only take into account linear dynamics or nonlinear dynamics within...
An Ultra-Low Power Wearable BMI System With Continual Learning Capabilities.
IEEE transactions on biomedical circuits and systems
Jun 1, 2025
Driven by the progress in efficient embedded processing, there is an accelerating trend toward running machine learning models directly on wearable Brain-Machine Interfaces (BMIs) to improve portability and privacy and maximize battery life. However,...
A GAN Guided Parallel CNN and Transformer Network for EEG Denoising.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Electroencephalography (EEG) signals are often contaminated with various physiological artifacts, seriously affecting the quality of subsequent analysis. Therefore, removing artifacts is an essential step in practice. As of now, deep learning-based E...
Predicting artificial neural network representations to learn recognition model for music identification from brain recordings.
Scientific reports
May 29, 2025
Recent studies have demonstrated that the representations of artificial neural networks (ANNs) can exhibit notable similarities to cortical representations when subjected to identical auditory sensory inputs. In these studies, the ability to predict ...
Data augmentation using masked principal component representation for deep learning-based SSVEP-BCIs.
Journal of neural engineering
May 28, 2025
Data augmentation has been demonstrated to improve the classification accuracy of deep learning models in steady-state visual evoked potential-based brain-computer interfaces (BCIs), particularly when dealing with limited electroencephalography (EEG)...
Preconceived beliefs, different reactions: alleviating user switching intentions in service failures through priming GenAI beliefs.
BMC psychology
May 23, 2025
Generative artificial intelligence's (GenAI) fast progress has opened up new possibilities, but it has also increased the likelihood of service failure. This study investigates how belief priming affects users' intention to switch following a failure...
Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning.
Scientific reports
May 22, 2025
Functional connectivity (FC) analyses of intracranial EEG (iEEG) signals can potentially improve the mapping of epileptic networks in drug-resistant focal epilepsy. However, it remains unclear whether FC-based metrics provide additional value beyond ...
Don't Miss the Future of Medicine
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 31822
- Neural Networks, Computer 30143
- Algorithms 27306
- Deep Learning 26809
- Artificial Intelligence 24736
- Robotics 13375
- Image Processing, Computer-Assisted 9704
- Retrospective Studies 9299
- Magnetic Resonance Imaging 6313
- Reproducibility of Results 5659
- Tomography, X-Ray Computed 4855
- Support Vector Machine 4754
- Computational Biology 4315
- Brain 4108
- Computer Simulation 3928
Recent Journals
- Scientific reports 6526
- Sensors (Basel, Switzerland) 4794
- PloS one 4139
- 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 1038
- Nature communications 1009
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 870
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 842