AIMC Topic: Electroencephalography

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An unsupervised EEG decoding system for human emotion recognition.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2019
Emotion plays a vital role in human health and many aspects of life, including relationships, behaviors and decision-making. An intelligent emotion recognition system may provide a flexible method to monitor emotion changes in daily life and send war...
Unsupervised Machine Learning Humans Electroencephalography Recognition, Psychology Emotions
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Classification of epileptic EEG recordings using signal transforms and convolutional neural networks.

Computers in biology and medicine Apr 25, 2019
This paper describes the analysis of a deep neural network for the classification of epileptic EEG signals. The deep learning architecture is made up of two convolutional layers for feature extraction and three fully-connected layers for classificati...
Humans Deep Learning Electroencephalography Epilepsy Signal Processing, Computer-Assisted
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Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 25, 2019
Accurate classification of Electroencephalogram (EEG) signals plays an important role in diagnoses of different type of mental activities. One of the most important challenges, associated with classification of EEG signals is how to design an efficie...
Humans Mental Processes Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Machine Learning Algorithms Support Vector Machine
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Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition.

IEEE transactions on cybernetics Apr 24, 2019
Brain-computer interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions. Electroencephalography (EEG)-based BCI is one of the promising solutions due to its convenient and portab...
Electroencephalography Signal Processing, Computer-Assisted Intention Humans Pattern Recognition, Automated Male Brain Algorithms Brain-Computer Interfaces Spatio-Temporal Analysis Female Deep Learning
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Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain.

Scientific reports Apr 23, 2019
There has been substantial interest in Mindfulness Training (MT) to understand how it can benefit healthy individuals as well as people with a broad range of health conditions. Research has begun to delineate associated changes in brain function. How...
Analysis of Variance Male Mindfulness Electroencephalography Humans Neural Networks, Computer Brain Female Adult
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EIQ: EEG based IQ test using wavelet packet transform and hierarchical extreme learning machine.

Journal of neuroscience methods Apr 22, 2019
BACKGROUND: The use of electroencephalography has been perpetually incrementing and has numerous applications such as clinical and psychiatric studies, social interactions, brain computer interface etc. Intelligence has baffled us for centuries, and ...
Intelligence Tests Humans Brain Wavelet Analysis Electroencephalography Deep Learning Brain Waves Intelligence Neuropsychological Tests Brain-Computer Interfaces
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SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.

PLoS computational biology Apr 18, 2019
Understanding sleep and its perturbation by environment, mutation, or medication remains a central problem in biomedical research. Its examination in animal models rests on brain state analysis via classification of electroencephalographic (EEG) sign...
Electromyography Wakefulness Sleep Electroencephalography Signal Processing, Computer-Assisted Models, Animal Neural Networks, Computer Machine Learning Animals Mice Computational Biology Rats Humans
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Monitoring the level of hypnosis using a hierarchical SVM system.

Journal of clinical monitoring and computing Apr 15, 2019
Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery. This paper proposes a novel automated method for accurate assessing of the lev...
Female Young Adult Adult Humans Algorithms Hypnotics and Sedatives Electroencephalography Anesthesia Hypnosis Adolescent Intraoperative Neurophysiological Monitoring Support Vector Machine Male Middle Aged
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Assaying neural activity of children during video game play in public spaces: a deep learning approach.

Journal of neural engineering Apr 11, 2019
OBJECTIVE: Understanding neural activity patterns in the developing brain remains one of the grand challenges in neuroscience. Developing neural networks are likely to be endowed with functionally important variability associated with the environment...
Neural Networks, Computer Brain Female Humans Child Male Electroencephalography Deep Learning Video Games Adolescent
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Introduction.

International journal of neural systems Apr 11, 2019
Electroencephalography Epilepsy Humans Neural Networks, Computer
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