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Evaluation of EEG power spectrum measures using Fourier and wavelet based transformation techniques as a function of task complexity

Zervakis Michalis, Sakkalis, Vangelis, Μιχελογιάννης Σήφης

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URIhttp://purl.tuc.gr/dl/dias/6CA2C5EF-B3C0-4477-93AC-9686987B8964-
Languageen-
Extent8 pagesen
TitleEvaluation of EEG power spectrum measures using Fourier and wavelet based transformation techniques as a function of task complexityen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorSakkalis, Vangelisen
CreatorΜιχελογιάννης Σήφηςel
CreatorMichelogiannis Sifisen
CreatorMicheloyannis Sifisen
Content SummaryThe purpose of this study is to provide a comparison between the widely applied Fourier Power Spectrum (FPS) measure and the Wavelet counterpart (WT) in applications related to continuous EEG/ MEG signal analysis tasks. Both power spectrum measures are used as EEG signal features capable of characterizing and differentiating four discrete tasks in terms of cognitive complexity. This study is not oriented towards the investigation of the brain areas involved in such cognition operations. The latter test is providing the dataset to perform the comparison between the different analysis methods. The different analysis methods were evaluated by testing the tasks for statistical significance using ANOVA on both the dependent Fourier Power Spectrum and Wavelet Power Spectrum (WPS) variable. The results of this study indicated that even if FPS already provides satisfactory results, it seems that Wavelet Averaged Global Power Spectrum is proved to be of particular interest since it provides greater resolution and specificity. WT is able to discriminate in greater detail the different tasks.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-25-
Date of Publication2004-
SubjectBasic medical sciencesen
SubjectBasic sciences, Medicalen
SubjectBiomedical sciencesen
SubjectHealth sciencesen
SubjectPreclinical sciencesen
SubjectSciences, Medicalen
Subjectmedical sciencesen
Subjectbasic medical sciencesen
Subjectbasic sciences medicalen
Subjectbiomedical sciencesen
Subjecthealth sciencesen
Subjectpreclinical sciencesen
Subjectsciences medicalen
Bibliographic CitationV .Sakkalis, M. Zervakis and S. Micheloyannis, "Evaluation of EEG power spectrum measures using Fourier and wavelet based transformation techniques as a function of task complexity," presented at 1st European Workshop on the Assessment of Diagnostic Performance, Milan, Italy, 2004.en

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