AIMC Topic: Electroencephalography
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Automated seizure prediction.
Epilepsy & behavior : E&B
Oct 11, 2018
In the past two decades, significant advances have been made on automated electroencephalogram (EEG)-based diagnosis of epilepsy and seizure detection. A number of innovative algorithms have been introduced that can aid in epilepsy diagnosis with a h...
Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning.
IEEE transactions on bio-medical engineering
Oct 9, 2018
The performance of an existing Devanagari script (DS) input-based P300 speller with conventional machine learning techniques suffers from low information transfer rate (ITR). This occurs due to its required large size of display, i.e., 8 × 8 row-colu...
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
IEEE transactions on neural networks and learning systems
Oct 9, 2018
The positive-unlabeled (PU) classification is a common scenario in real-world applications such as healthcare, text classification, and bioinformatics, in which we only observe a few samples labeled as "positive" together with a large volume of "unla...
Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials.
Journal of neural engineering
Oct 3, 2018
OBJECTIVE: Steady-state visual evoked potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram (E...
Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network.
BMC bioinformatics
Sep 29, 2018
BACKGROUND: Conventional methods of motor imagery brain computer interfaces (MI-BCIs) suffer from the limited number of samples and simplified features, so as to produce poor performances with spatial-frequency features and shallow classifiers.
The application of artificial intelligence to understand the pathophysiological basis of psychogenic nonepileptic seizures.
Epilepsy & behavior : E&B
Sep 28, 2018
Psychogenic nonepileptic seizures (PNES) are episodes of paroxysmal impairment associated with a range of motor, sensory, and mental manifestations, which perfectly mimic epileptic seizures. Several patterns of neural abnormalities have been describe...
Application of identity vectors for EEG classification.
Journal of neuroscience methods
Sep 19, 2018
BACKGROUND: Finding an optimal EEG subject verification algorithm is a long standing goal within the EEG community. For every advancement made, another feature set, classifier, or dataset is often introduced; tracking improvements in classification w...
A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multitask Learning Algorithms (OMTL).
IEEE journal of biomedical and health informatics
Sep 18, 2018
Recognizing the factors that cause stress is a crucial step toward early detection of stressors. In this regard, several studies make an effort to recognize individuals' stress using an Electroencephalogram (EEG). However, current EEG-based stress re...
Identifying Suitable Brain Regions and Trial Size Segmentation for Positive/Negative Emotion Recognition.
International journal of neural systems
Sep 18, 2018
The development of suitable EEG-based emotion recognition systems has become a main target in the last decades for Brain Computer Interface applications (BCI). However, there are scarce algorithms and procedures for real-time classification of emotio...
A novel system of SSVEP-based human-robot coordination.
Journal of neural engineering
Sep 17, 2018
OBJECTIVE: Human-robot coordination (HRC) aims to enable human and robot to form a tightly coupled system to accomplish a task. One of its important application prospects is to improve the physical function of the disabled. However, the low level of ...
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