AIMC Topic: Electroencephalography

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Automatic and continuous assessment of ERPs for mismatch negativity detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Accurate and fast detection of event related potential (ERP) components is an unresolved issue in neuroscience and critical health care. Mismatch negativity (MMN) is a component of the ERP to an odd stimulus in a sequence of identical stimuli which h...
Evoked Potentials, Auditory Electroencephalography Evoked Potentials Healthy Volunteers Humans Acoustic Stimulation Machine Learning
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High-accuracy user identification using EEG biometrics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We analyze brain waves acquired through a consumer-grade EEG device to investigate its capabilities for user identification and authentication. First, we show the statistical significance of the P300 component in event-related potential (ERP) data fr...
Evoked Potentials Neural Networks, Computer Logistic Models Algorithms Machine Learning Electroencephalography Equipment Design Humans Signal Processing, Computer-Assisted Biometric Identification Brain Event-Related Potentials, P300
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Emotion classification using single-channel scalp-EEG recording.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Several studies have found evidence for corticolimbic Theta electroencephalographic (EEG) oscillation in the neural processing of visual stimuli perceived as fear or threatening scene. Recent studies showed that neural oscillations' patterns in Theta...
Scalp Brain Emotions Support Vector Machine Electroencephalography Humans
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Improve the generalization of emotional classifiers across time by using training samples from different days.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Electroencephalographic (EEG)-based emotion recognition has attracted increasing attention from the field of human-computer interaction (HCI). However, there are a number of challenges for machines to correctly recognize human emotional states. One p...
Support Vector Machine Emotions Electroencephalography Humans Algorithms
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Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Monitoring driver's intentions beforehand is an ambitious aim, which will bring a huge impact on the society by preventing traffic accidents. Hence, in this preliminary study we recorded high resolution electroencephalography (EEG) from 5 subjects wh...
Accelerometry Entropy Principal Component Analysis Electroencephalography Humans Algorithms Automobile Driving Support Vector Machine
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An unsupervised subject identification technique using EEG signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In this work, EEG spectral features of different subjects are uniquely mapped into a 2D feature space. Such distinctive 2D features pave the way to identify subjects from their EEG spectral characteristics in an unsupervised manner without any prior ...
Unsupervised Machine Learning Electroencephalography Humans Cluster Analysis
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Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This study proposes a Cross-Correlated Delay Shift (CCDS) supervised learning rule to train neurons with associated spatiotemporal patterns to classify spike patterns. The objective of this study was to evaluate the feasibility of using the CCDS rule...
Humans Neural Networks, Computer Machine Learning Action Potentials Electroencephalography Epilepsy Algorithms Models, Theoretical Neurons
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Measuring the agreement between brain connectivity networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Investigating the level of similarity between two brain networks, resulting from measures of effective connectivity in the brain, can be of interest from many respects. In this study, we propose and test the idea to borrow measures of association use...
Brain Computer Simulation Humans Area Under Curve Models, Neurological Analysis of Variance Electroencephalography Brain Mapping Signal Processing, Computer-Assisted Nerve Net
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EEG classification for motor imagery and resting state in BCI applications using multi-class Adaboost extreme learning machine.

The Review of scientific instruments Aug 1, 2016
Brain-computer interface (BCI) systems provide an alternative communication and control approach for people with limited motor function. Therefore, the feature extraction and classification approach should differentiate the relative unusual state of ...
Signal Processing, Computer-Assisted Hand Motor Activity Machine Learning Humans Brain-Computer Interfaces Male Electroencephalography
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A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Cognitive, affective & behavioral neuroscience Aug 1, 2016
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability to shift attention away from another stimulus modality and toward itself. Different connectionist model architectures were used to simulate the differe...
Male Brain Mapping Electroencephalography Neural Networks, Computer Female Cues Evoked Potentials Locus Coeruleus Pain Attention Reaction Time Humans
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