AIMC Topic: Electroencephalography
Clear Filters Showing 1401 to 1410 of 2127 articles
Portable brain-computer interface based on novel convolutional neural network.
Computers in biology and medicine
Mar 4, 2019
Electroencephalography (EEG) is a powerful, noninvasive tool that provides a high temporal resolution to directly reflect brain activities. Conventional electrodes require skin preparation and the use of conductive gels, while subjects must wear unco...
Scoring upper-extremity motor function from EEG with artificial neural networks: a preliminary study.
Journal of neural engineering
Feb 28, 2019
OBJECTIVE: Motor function of chronic stroke survivors is generally accessed using clinical motor assessments. These motor assessments are partially subjective and require prior training for the examiners. Additionally, those motor function assessment...
Deep learning for electroencephalogram (EEG) classification tasks: a review.
Journal of neural engineering
Feb 26, 2019
OBJECTIVE: Electroencephalography (EEG) analysis has been an important tool in neuroscience with applications in neuroscience, neural engineering (e.g. Brain-computer interfaces, BCI's), and even commercial applications. Many of the analytical tools ...
EEG-based mild depression recognition using convolutional neural network.
Medical & biological engineering & computing
Feb 19, 2019
Electroencephalography (EEG)-based studies focus on depression recognition using data mining methods, while those on mild depression are yet in infancy, especially in effective monitoring and quantitative measure aspects. Aiming at mild depression re...
Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
Computers in biology and medicine
Feb 19, 2019
In motor imagery (MI) based brain-computer interface (BCI) signal analysis, mu and beta rhythms of electroencephalograms (EEGs) are widely investigated due to their high temporal resolution and capability to define the different movement-related ment...
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals.
International journal of environmental research and public health
Feb 19, 2019
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environme...
Machine learning identifies "rsfMRI epilepsy networks" in temporal lobe epilepsy.
European radiology
Feb 8, 2019
OBJECTIVES: Experimental models have provided compelling evidence for the existence of neural networks in temporal lobe epilepsy (TLE). To identify and validate the possible existence of resting-state "epilepsy networks," we used machine learning met...
New-Onset Alzheimer's Disease and Normal Subjects 100% Differentiated by P300.
American journal of Alzheimer's disease and other dementias
Feb 7, 2019
Previous work has suggested that evoked potential analysis might allow the detection of subjects with new-onset Alzheimer's disease, which would be useful clinically and personally. Here, it is described how subjects with new-onset Alzheimer's diseas...
A Brain-Robot Interaction System by Fusing Human and Machine Intelligence.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Feb 4, 2019
This paper presents a new brain-robot interaction system by fusing human and machine intelligence to improve the real-time control performance. This system consists of a hybrid P300 and steady-state visual evoked potential (SSVEP) mode conveying a hu...
Potential EEG biomarkers of sedation doses in intensive care patients unveiled by using a machine learning approach.
Journal of neural engineering
Jan 31, 2019
OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs. Quantitative knowledge on the sedation effect on brain activity in that complex scenario could help to uncover new markers for sedation assessment. ...
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 31394
- Neural Networks, Computer 29865
- Algorithms 27027
- Deep Learning 26550
- Artificial Intelligence 24477
- Robotics 13341
- Image Processing, Computer-Assisted 9603
- Retrospective Studies 9179
- Magnetic Resonance Imaging 6222
- Reproducibility of Results 5620
- Tomography, X-Ray Computed 4800
- Support Vector Machine 4717
- Computational Biology 4281
- Brain 4063
- Computer Simulation 3899
Recent Journals
- Scientific reports 6343
- Sensors (Basel, Switzerland) 4794
- PloS one 4107
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1870
- 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 1148
- Journal of chemical information and modeling 1023
- Nature communications 989
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 866
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 837