AIMC Topic: Electroencephalography
Clear Filters Showing 1121 to 1130 of 2123 articles
Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM.
Sensors (Basel, Switzerland)
Sep 14, 2020
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact due to an accident or fall and is one of the most frequently submitted insurance claims. However, it is often always misused when individuals attempt an...
Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals.
International journal of neural systems
Sep 11, 2020
Human activity recognition and neural activity analysis are the basis for human computational neureoethology research dealing with the simultaneous analysis of behavioral ethogram descriptions and neural activity measurements. Wireless electroencepha...
Person identification from EEG using various machine learning techniques with inter-hemispheric amplitude ratio.
PloS one
Sep 11, 2020
Association between electroencephalography (EEG) and individually personal information is being explored by the scientific community. Though person identification using EEG is an attraction among researchers, the complexity of sensing limits using su...
Pattern Recognition of Cognitive Load Using EEG and ECG Signals.
Sensors (Basel, Switzerland)
Sep 8, 2020
The matching of cognitive load and working memory is the key for effective learning, and cognitive effort in the learning process has nervous responses which can be quantified in various physiological parameters. Therefore, it is meaningful to explor...
Single-trial EEG emotion recognition using Granger Causality/Transfer Entropy analysis.
Journal of neuroscience methods
Sep 6, 2020
BACKGROUND: Emotion recognition has been studied for decades, but the classification accuracy needs to be improved.
Which Visual Modality Is Important When Judging the Naturalness of the Agent (Artificial Versus Human Intelligence) Providing Recommendations in the Symbolic Consumption Context?
Sensors (Basel, Switzerland)
Sep 3, 2020
This study aimed to explore how the type and visual modality of a recommendation agent's identity affect male university students' (1) self-reported responses to agent-recommended symbolic brand in evaluating the naturalness of virtual agents, human,...
Pain phenotypes classified by machine learning using electroencephalography features.
NeuroImage
Aug 29, 2020
Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar radiculopathy, 20 age and gender matched healthy subjects, and 17 subjects ...
Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks.
Computational and mathematical methods in medicine
Aug 28, 2020
In the process of brain-computer interface (BCI), variations across sessions/subjects result in differences in the properties of potential of the brain. This issue may lead to variations in feature distribution of electroencephalogram (EEG) across su...
A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial.
The Lancet. Child & adolescent health
Aug 27, 2020
BACKGROUND: Despite the availability of continuous conventional electroencephalography (cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice. Algorithms for decision support in the recognition of neonatal seizures could ...
Deep learning and feature based medication classifications from EEG in a large clinical data set.
Scientific reports
Aug 26, 2020
The amount of freely available human phenotypic data is increasing daily, and yet little is known about the types of inferences or identifying characteristics that could reasonably be drawn from that data using new statistical methods. One data type ...
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 31285
- Neural Networks, Computer 29824
- Algorithms 26978
- Deep Learning 26499
- Artificial Intelligence 24426
- Robotics 13330
- Image Processing, Computer-Assisted 9585
- Retrospective Studies 9163
- Magnetic Resonance Imaging 6215
- Reproducibility of Results 5608
- Tomography, X-Ray Computed 4795
- Support Vector Machine 4708
- Computational Biology 4269
- Brain 4059
- Computer Simulation 3892
Recent Journals
- Scientific reports 6215
- Sensors (Basel, Switzerland) 4794
- PloS one 4077
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- 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 1144
- Journal of chemical information and modeling 1019
- Nature communications 971
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 863
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 831