AIMC Topic: Electroencephalography
Clear Filters Showing 1161 to 1170 of 2123 articles
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification.
IEEE transactions on biomedical circuits and systems
Jun 24, 2020
Classifiers that can be implemented on chip with minimal computational and memory resources are essential for edge computing in emerging applications such as medical and IoT devices. This paper introduces a machine learning model based on oblique dec...
Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network.
Sensors (Basel, Switzerland)
Jun 20, 2020
Emotion recognition plays an important role in the field of human-computer interaction (HCI). An electroencephalogram (EEG) is widely used to estimate human emotion owing to its convenience and mobility. Deep neural network (DNN) approaches using an ...
Prefrontal oscillations modulate the propagation of neuronal activity required for working memory.
Neurobiology of learning and memory
Jun 17, 2020
Cognition involves using attended information, maintained in working memory (WM), to guide action. During a cognitive task, a correct response requires flexible, selective gating so that only the appropriate information flows from WM to downstream ef...
Decoding attention control and selection in visual spatial attention.
Human brain mapping
Jun 16, 2020
Event-related potentials (ERPs) are used extensively to investigate the neural mechanisms of attention control and selection. The univariate ERP approach, however, has left important questions inadequately answered. We addressed two questions by appl...
Convolutional neural network for detection and classification of seizures in clinical data.
Medical & biological engineering & computing
Jun 12, 2020
Epileptic seizure detection and classification in clinical electroencephalogram data still is a challenge, and only low sensitivity with a high rate of false positives has been achieved with commercially available seizure detection tools, which usual...
EEG-Brain Activity Monitoring and Predictive Analysis of Signals Using Artificial Neural Networks.
Sensors (Basel, Switzerland)
Jun 12, 2020
Predictive observation and real-time analysis of the values of biomedical signals and automatic detection of epileptic seizures before onset are beneficial for the development of warning systems for patients because the patient, once informed that an...
Auditory attention tracking states in a cocktail party environment can be decoded by deep convolutional neural networks.
Journal of neural engineering
Jun 12, 2020
OBJECTIVE: A deep convolutional neural network (CNN) is a method for deep learning (DL). It has a powerful ability to automatically extract features and is widely used in classification tasks with scalp electroencephalogram (EEG) signals. However, th...
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off.
PloS one
Jun 11, 2020
Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome recording processes. In these conditions, powerful machine learning techniques are essential to deal with the large amount of information and overcome the...
Machine-learning-based diagnostics of EEG pathology.
NeuroImage
Jun 10, 2020
Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be categorized into feature-based (with handcrafted features), and end-to-end approaches (with learned features). Previous studies on EEG pathology decoding ...
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
International journal of neural systems
Jun 4, 2020
Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved in the evaluation procedure that present high variance among the population with the same difficulty. Diagnosis is usually performed by scoring subjec...
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 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