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Published in 2022 at "Magnetic resonance in medicine"
DOI: 10.1002/mrm.29251
Abstract: PURPOSE To demonstrate a novel method for tracking of head movements during MRI using electroencephalography (EEG) hardware for recording signals induced by native imaging gradients. THEORY AND METHODS Gradient switching during simultaneous EEG-fMRI induces distortions…
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Keywords:
sequence;
head;
using eeg;
mri using ... See more keywords
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Published in 2021 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2021.102641
Abstract: Abstract Industrial insider threat detection has consistently been a popular field of research. To help detect potential insider threats, the emotional states of humans are identified through a wide range of physiological signals including the…
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Keywords:
artificial intelligence;
insider;
eeg signals;
security ... See more keywords
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Published in 2019 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2018.11.017
Abstract: BACKGROUND Hybrid brain computer interfaces (BCIs) combining multiple brain imaging modalities have been proposed recently to boost the performance of single modality BCIs. NEW METHOD In this paper, we propose a novel motor imagery (MI)…
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Keywords:
hybrid brain;
brain;
arm versus;
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Published in 2018 at "Landscape Research"
DOI: 10.1080/01426397.2018.1548586
Abstract: ABSTRACT This study uses psychophysiological measures, alpha and beta waves, to examine the appropriateness of videos as visual media to represent a human-made lake. Results indicate that alpha brainwaves are associated more with peaks in…
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Keywords:
exploratory approach;
using eeg;
eeg examine;
person environment ... See more keywords
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Published in 2023 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acbfe0
Abstract: Objective. Confusion is the primary epistemic emotion in the learning process, influencing students’ engagement and whether they become frustrated or bored. However, research on confusion in learning is still in its early stages, and there…
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Keywords:
reasoning learning;
confusion reasoning;
using eeg;
confusion ... See more keywords
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Published in 2023 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/accbed
Abstract: Objective. The electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias, and capable of assessing the dynamics of cognitive states. This…
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Keywords:
monitor;
using eeg;
memory workload;
memory ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1885677
Abstract: Fatigue driving is one of the main reasons for the occurrence of traffic accidents. Brain-computer interface, as a human-computer interaction method based on EEG signals, can communicate with the outside world and move freely through…
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Keywords:
driving fatigue;
classifying driving;
using eeg;
fatigue ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0270949
Abstract: Functional integration between two hemispheres is crucial for perceptual binding to occur when visual stimuli are presented in the midline of the visual field. Mima and colleagues (2001) showed using EEG that midline object recognition…
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Keywords:
recognition;
connectivity;
object recognition;
using eeg ... See more keywords
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Published in 2021 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2021.643710
Abstract: Introduction: An important approach to improve the therapeutic effect of electroconvulsive therapy (ECT) may be to early characterize patients who are more likely to respond. Our objective was to explore whether baseline electroencephalography (EEG) settings…
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Keywords:
electroconvulsive therapy;
clinical response;
response;
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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12102544
Abstract: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental condition worldwide. In this research, we used an ADHD electroencephalography (EEG) dataset containing more than 4000 EEG signals. Moreover, these EEGs are noisy signals. A new…
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Keywords:
classification;
ternary motif;
motif pattern;
using eeg ... See more keywords