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Time Varying VEP Evaluation as a Prediction of Vision Fatigue Using Stimulated Brain-Computer Interface
Cao, T1; Wong, CM1; Wan, F1; Hu, Y2
2015
Conference Name4th International Conference on Cognitive Neurodynamics (ICCN)
Source PublicationADVANCES IN COGNITIVE NEURODYNAMICS (IV)
Pages157-160
Conference DateJUN 23-27, 2013
Conference PlaceSigtuna, SWEDEN
Abstract

During the operation of the visual stimulated brain-computer interfaces (BCIs), users suffer fatiguewhen gazing at the stimulus. Loss of attention and decreased vigilance caused by fatigue impair the users' cognitive capabilities, which consequently degrade the EEG quality and system performance. Cognitive neurodynamics measured by EEG activity are related to the generalized performance on cognitive tasks and mental efforts. Therefore, time varying EEG spectral analysis is proposed as an objective method to evaluate fatigue during the cognitive process in the visual stimulated BCIs. The results shows that the increase in theta, alpha and (theta + alpha)/beta, as well as the decrease in theta/alpha are associated with the increasing fatigue level during the cognitive process.

KeywordBci Ssvep Cognitive Neurodynamics Eeg Fatigue
DOI10.1007/978-94-017-9548-7_21
Indexed BySCIE
Language英語English
WOS Research AreaNeurosciences & Neurology ; Psychology
WOS SubjectNeurosciences ; Psychology
WOS IDWOS:000380362800021
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Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorWan, F
Affiliation1.Univ Macau, Dept Elect & Comp Engn, Macau, Peoples R China
2.Univ Hong Kong, Dept Orthopaed & Traumatol, Pokfulam, Hong Kong, Peoples R China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Cao, T,Wong, CM,Wan, F,et al. Time Varying VEP Evaluation as a Prediction of Vision Fatigue Using Stimulated Brain-Computer Interface[C], 2015, 157-160.
APA Cao, T., Wong, CM., Wan, F., & Hu, Y (2015). Time Varying VEP Evaluation as a Prediction of Vision Fatigue Using Stimulated Brain-Computer Interface. ADVANCES IN COGNITIVE NEURODYNAMICS (IV), 157-160.
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