Please use this identifier to cite or link to this item: https://doi.org/10.1088/1741-2560/12/4/046020
Title: Cognitive workload modulation through degraded visual stimuli: A single-trial EEG study
Authors: Yu, K
Prasad, I 
Mir, H
Thakor, N 
Al-Nashash, H
Keywords: Modulation
NASA
Cognitive workloads
Detection methods
Electro-encephalogram (EEG)
Eventrelated potential (ERPs)
Multi-level classifications
Single trial
Subjective assessments
Work loads
Electroencephalography
Article
cognition
degradation
electroencephalogram
event related potential
human
human experiment
normal human
priority journal
spatiotemporal analysis
visual stimulation
workload
adaptation
association
cognition
electroencephalography
executive function
photostimulation
physiology
procedures
psychomotor performance
vision
Adaptation, Physiological
Cognition
Cues
Electroencephalography
Event-Related Potentials, P300
Executive Function
Humans
Photic Stimulation
Psychomotor Performance
Visual Perception
Issue Date: 2015
Citation: Yu, K, Prasad, I, Mir, H, Thakor, N, Al-Nashash, H (2015). Cognitive workload modulation through degraded visual stimuli: A single-trial EEG study. Journal of Neural Engineering 12 (4) : 46020. ScholarBank@NUS Repository. https://doi.org/10.1088/1741-2560/12/4/046020
Abstract: Objective. Our experiments explored the effect of visual stimuli degradation on cognitive workload. Approach. We investigated the subjective assessment, event-related potentials (ERPs) as well as electroencephalogram (EEG) as measures of cognitive workload. Main results. These experiments confirm that degradation of visual stimuli increases cognitive workload as assessed by subjective NASA task load index and confirmed by the observed P300 amplitude attenuation. Furthermore, the single-trial multi-level classification using features extracted from ERPs and EEG is found to be promising. Specifically, the adopted single-trial oscillatory EEG/ERP detection method achieved an average accuracy of 85% for discriminating 4 workload levels. Additionally, we found from the spatial patterns obtained from EEG signals that the frontal parts carry information that can be used for differentiating workload levels. Significance. Our results show that visual stimuli can modulate cognitive workload, and the modulation can be measured by the single trial EEG/ERP detection method. © 2015 IOP Publishing Ltd.
Source Title: Journal of Neural Engineering
URI: https://scholarbank.nus.edu.sg/handle/10635/174122
ISSN: 17412560
DOI: 10.1088/1741-2560/12/4/046020
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