Residential College | false |
Status | 已發表Published |
Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces | |
Cao T.1![]() ![]() ![]() ![]() ![]() | |
2014 | |
Source Publication | BioMedical Engineering Online
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ISSN | 1475925X |
Volume | 13Issue: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. |
Keyword | Brain-computer Interfaces Electroencephalography Spectral Analysis Fatigue Objective Evaluation Steady-state Visual Evoked Potential |
DOI | 10.1186/1475-925X-13-28 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Engineering |
WOS Subject | Engineering, Biomedical |
WOS ID | WOS:000334379800002 |
The Source to Article | Scopus |
Scopus ID | 2-s2.0-84899152341 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Wan F. |
Affiliation | 1.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 Affilication | University of Macau |
Corresponding Author Affilication | University 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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