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Article: Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.

TitleObjective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.
Authors
Issue Date2014
PublisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedical-engineering-online.com
Citation
BioMedical Engineering OnLine, 2014, v. 13, article no. 28 How to Cite?
AbstractBACKGROUND: 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 delta, theta, alpha and beta frequency bands), the selected ratio indices (theta/alpha and (theta + alpha)/beta), 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 alpha and (theta + alpha)/beta, as well as the decrease in theta/alpha 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.
Persistent Identifierhttp://hdl.handle.net/10722/199191
ISSN
2015 Impact Factor: 1.382
2015 SCImago Journal Rankings: 0.531
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorCao, Ten_US
dc.contributor.authorWan, Fen_US
dc.contributor.authorWong, CMen_US
dc.contributor.authorda Cruz, JNen_US
dc.contributor.authorHu, Yen_US
dc.date.accessioned2014-07-22T01:06:51Z-
dc.date.available2014-07-22T01:06:51Z-
dc.date.issued2014en_US
dc.identifier.citationBioMedical Engineering OnLine, 2014, v. 13, article no. 28en_US
dc.identifier.issn1475-925X-
dc.identifier.urihttp://hdl.handle.net/10722/199191-
dc.description.abstractBACKGROUND: 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 delta, theta, alpha and beta frequency bands), the selected ratio indices (theta/alpha and (theta + alpha)/beta), 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 alpha and (theta + alpha)/beta, as well as the decrease in theta/alpha 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.-
dc.languageengen_US
dc.publisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedical-engineering-online.com-
dc.relation.ispartofBioMedical Engineering OnLineen_US
dc.rightsBioMedical Engineering OnLine. Copyright © BioMed Central Ltd.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subject.meshBrain-Computer Interfaces-
dc.subject.meshElectroencephalography - methods-
dc.subject.meshEvoked Potentials, Visual-
dc.subject.meshFatigue - diagnosis-
dc.titleObjective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.en_US
dc.typeArticleen_US
dc.identifier.emailHu, Y: yhud@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/1475-925X-13-28-
dc.identifier.pmid24621009-
dc.identifier.pmcidPMC3995691-
dc.identifier.hkuros230637en_US
dc.identifier.volume13en_US
dc.publisher.placeUnited Kingdom-

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