Visual fatigue effects on Steady State Visual Evoked Potential-based Brain Computer Interfaces

Brain computer interfaces are a direct communication pathway between the brain and external devices and require mental effort to work efficiently. After long use of such interfacing systems, subjects have reported fatigue symptoms. Fatigue influence on the EEG signals could disrupt human-computer co...

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Bibliographic Details
Published in2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) pp. 70 - 73
Main Authors Makri, Dimitra, Farmaki, Christina, Sakkalis, Vangelis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Biomarkers
Biomedical monitoring
Fatigue
MATLAB
Monitoring
Navigation
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ISSN1948-3546
DOI10.1109/NER.2015.7146562

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Summary:Brain computer interfaces are a direct communication pathway between the brain and external devices and require mental effort to work efficiently. After long use of such interfacing systems, subjects have reported fatigue symptoms. Fatigue influence on the EEG signals could disrupt human-computer communication and decrease the reliability of the responses. In this paper, fatigue effects on SSVEP-based BCI use are evaluated. Thirteen healthy subjects participated in the experiment, which uses a BCI system originally designed for online wheelchair navigation. Signal analysis was based on accuracy rates, band power spectra and SSVEP amplitudes extraction. Although accuracy levels show no statistically significant differences, self-reported fatigue levels increase and SSVEP amplitudes decrease with time. Our analysis demonstrates no consistent band power changes.
ISSN:1948-3546
DOI:10.1109/NER.2015.7146562