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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 |
Appears in Collections: | Elements Staff Publications |
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