AIMC Topic: Electroencephalography
Clear Filters Showing 1591 to 1600 of 2146 articles
Deep learning with convolutional neural networks for EEG decoding and visualization.
Human brain mapping
Aug 7, 2017
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end-to-end learning, that is, learning from the raw data. There is increasing interest in using deep ConvNets for end-to-end EEG analysis, but...
Mixed Neural Network Approach for Temporal Sleep Stage Classification.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jul 28, 2017
This paper proposes a practical approach to addressing limitations posed by using of single-channel electroencephalography (EEG) for sleep stage classification. EEG-based characterizations of sleep stage progression contribute the diagnosis and monit...
Human interaction with robotic systems: performance and workload evaluations.
Ergonomics
Jul 26, 2017
We first tested the effect of differing tactile informational forms (i.e. directional cues vs. static cues vs. dynamic cues) on objective performance and perceived workload in a collaborative human-robot task. A second experiment evaluated the influe...
Phenomenological network models: Lessons for epilepsy surgery.
Epilepsia
Jul 26, 2017
The current opinion in epilepsy surgery is that successful surgery is about removing pathological cortex in the anatomic sense. This contrasts with recent developments in epilepsy research, where epilepsy is seen as a network disease. Computational m...
EEG machine learning for accurate detection of cholinergic intervention and Alzheimer's disease.
Scientific reports
Jul 18, 2017
Monitoring effects of disease or therapeutic intervention on brain function is increasingly important for clinical trials, albeit hampered by inter-individual variability and subtle effects. Here, we apply complementary biomarker algorithms to electr...
Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks.
IEEE journal of biomedical and health informatics
Jul 14, 2017
Deep learning, a relatively new branch of machine learning, has been investigated for use in a variety of biomedical applications. Deep learning algorithms have been used to analyze different physiological signals and gain a better understanding of h...
Feature selection before EEG classification supports the diagnosis of Alzheimer's disease.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Jul 14, 2017
OBJECTIVE: In many decision support systems, some input features can be marginal or irrelevant to the diagnosis, while others can be redundant among each other. Thus, feature selection (FS) algorithms are often considered to find relevant/non-redunda...
A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).
Medical & biological engineering & computing
Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
The impact of goal-oriented task design on neurofeedback learning for brain-computer interface control.
Medical & biological engineering & computing
Jul 8, 2017
Neurofeedback training teaches individuals to modulate brain activity by providing real-time feedback and can be used for brain-computer interface control. The present study aimed to optimize training by maximizing engagement through goal-oriented ta...
Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy: A computational study.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Jul 8, 2017
OBJECTIVE: In postanoxic coma, EEG patterns indicate the severity of encephalopathy and typically evolve in time. We aim to improve the understanding of pathophysiological mechanisms underlying these EEG abnormalities.
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 31767
- Neural Networks, Computer 30117
- Algorithms 27276
- Deep Learning 26781
- Artificial Intelligence 24716
- Robotics 13369
- Image Processing, Computer-Assisted 9692
- Retrospective Studies 9292
- Magnetic Resonance Imaging 6305
- Reproducibility of Results 5656
- Tomography, X-Ray Computed 4848
- Support Vector Machine 4746
- Computational Biology 4308
- Brain 4104
- Computer Simulation 3925
Recent Journals
- Scientific reports 6466
- Sensors (Basel, Switzerland) 4794
- PloS one 4133
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1907
- 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 1156
- Journal of chemical information and modeling 1033
- Nature communications 997
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 869
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 842