Event Abstract Back to Event Analysis of High Frequency EEG components in response to predefined realistic visual scenes Walid Hassan1*, Hassan Khachfe1 and Wiam Ramadan2 1 Lebanese International University, Biomedical Engineering Department, Lebanon 2 Lebanese International University, School of Arts and Sciences, Lebanon The correlation between EEG and human visual information is presented in this article. EEG tests were performed in order to investigate the response of the brain signals upon passing different images with different textures and colors. Tests are performed on 4 different persons and EEG signals are recorded, processed and analyzed with various signal processing techniques. Electroencephalography recording sites are applied according to international 10-20 electrode system. High frequency components (70 to 150 Hz) in brain signals were analyzed in correlation to the texture of the shown image, and a correlation function is built. Results obtained show important affinity between the texture profiles of certain images and the brain response. This affinity could lead in further research works to define a brain stress or anti-stress level related to the image content shown to the subject. Keywords: neuromarketing, EEG, high frequency bursts, STFT, Full-band EEG Conference: Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, 2013. Presentation Type: Poster Topic: General neuroinformatics Citation: Hassan W, Khachfe H and Ramadan W (2013). Analysis of High Frequency EEG components in response to predefined realistic visual scenes. Front. Neuroinform. Conference Abstract: Neuroinformatics 2013. doi: 10.3389/conf.fninf.2013.09.00054 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 22 Apr 2013; Published Online: 11 Jul 2013. * Correspondence: Dr. Walid Hassan, Lebanese International University, Biomedical Engineering Department, Beyrouth, Lebanon, hassan.walid@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract Supplemental Data The Authors in Frontiers Walid Hassan Hassan Khachfe Wiam Ramadan Google Walid Hassan Hassan Khachfe Wiam Ramadan Google Scholar Walid Hassan Hassan Khachfe Wiam Ramadan PubMed Walid Hassan Hassan Khachfe Wiam Ramadan Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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