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Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces
Cao T.1; Wan F.1; Wong C.M.1; da Cruz J.N.1; Hu Y.2
2014
Source PublicationBioMedical Engineering Online
ISSN1475925X
Volume13Issue:1
Abstract

Background: The fatigue that users suffer when using steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can cause a number of serious problems such as signal quality degradation and system performance deterioration, users' discomfort and even risk of photosensitive epileptic seizures, posing heavy restrictions on the applications of SSVEP-based BCIs. Towards alleviating the fatigue, a fundamental step is to measure and evaluate it but most existing works adopt self-reported questionnaire methods which are subjective, offline and memory dependent. This paper proposes an objective and real-time approach based on electroencephalography (EEG) spectral analysis to evaluate the fatigue in SSVEP-based BCIs.Methods: How the EEG indices (amplitudes in δ, θ, α and β frequency bands), the selected ratio indices (θ/α and (θ + α)/β), and SSVEP properties (amplitude and signal-to-noise ratio (SNR)) changes with the increasing fatigue level are investigated through two elaborate SSVEP-based BCI experiments, one validates mainly the effectiveness and another considers more practical situations. Meanwhile, a self-reported fatigue questionnaire is used to provide a subjective reference. ANOVA is employed to test the significance of the difference between the alert state and the fatigue state for each index.Results: Consistent results are obtained in two experiments: the significant increases in α and (θ + α)/β, as well as the decrease in θ/α are found associated with the increasing fatigue level, indicating that EEG spectral analysis can provide robust objective evaluation of the fatigue in SSVEP-based BCIs. Moreover, the results show that the amplitude and SNR of the elicited SSVEP are significantly affected by users' fatigue.Conclusions: The experiment results demonstrate the feasibility and effectiveness of the proposed method as an objective and real-time evaluation of the fatigue in SSVEP-based BCIs. This method would be helpful in understanding the fatigue problem and optimizing the system design to alleviate the fatigue in SSVEP-based BCIs. © 2014 Cao et al.; licensee BioMed Central Ltd.

KeywordBrain-computer Interfaces Electroencephalography Spectral Analysis Fatigue Objective Evaluation Steady-state Visual Evoked Potential
DOI10.1186/1475-925X-13-28
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical
WOS IDWOS:000334379800002
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:49   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
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
Recommended Citation
GB/T 7714
Cao T.,Wan F.,Wong C.M.,et al. Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces[J]. BioMedical Engineering Online,2014,13(1).
APA Cao T.,Wan F.,Wong C.M.,da Cruz J.N.,&Hu Y..(2014).Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.BioMedical Engineering Online,13(1).
MLA Cao T.,et al."Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces".BioMedical Engineering Online 13.1(2014).
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