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Abstract
Eye movements and their contribution to electroencephalographic (EEG) recordings as ocular artifacts (OAs) are well studied. Yet their existence is typically regarded as impeding analysis. A widely accepted bypass is artifact avoidance. OA processing is often reduced to rejecting contaminated data. To overcome loss of data and restriction of behavior, research groups have proposed various correction methods. State of the art approaches are data driven and typically require OAs to be uncorrelated with brain activity. This does not necessarily hold for visuomotor tasks. To prevent correlated signals, we examined a two block approach. In a first block, subjects performed saccades and blinks, according to a visually guided paradigm. We then fitted 5 artifact removal algorithms to this data. To test their stationarity regarding artifact attenuation and preservation of brain activity, we recorded a second block one hour later. We found that saccades and blinks could still be attenuated to chance level, while brain activity during rest trials could be retained.
Original language | English |
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Title of host publication | Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 |
Subtitle of host publication | From Vision to Reality |
Editors | Gernot Müller-Putz, David Steyrl, Selina Wrissnegger, Reinhold Scherer |
Place of Publication | Graz |
Publisher | Verlag der Technischen Universität Graz |
Pages | 236-241 |
Number of pages | 6 |
ISBN (Print) | 978-3-85125-533-1 |
DOIs | |
Publication status | Published - 18 Sept 2017 |
Event | 7th Graz Brain-Computer Interface Conference 2017 - Duration: 18 Sept 2017 → 22 Sept 2017 |
Conference
Conference | 7th Graz Brain-Computer Interface Conference 2017 |
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Period | 18/09/17 → 22/09/17 |
Keywords
- Eletroencephalography
- Ocular artifacts
- Independent component analysis
- regression
Fields of Expertise
- Human- & Biotechnology
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Dive into the research topics of 'A comparison of ocular artifact removal methods for block design based electroencephalography experiments'. Together they form a unique fingerprint.Projects
- 1 Finished
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EU - Feel Your Reach - Non-invasive decoding of cortical patterns induced by goal directed movement intentions and artificial sensory feedback in humans
1/05/16 → 30/04/21
Project: Research project