Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13148
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dc.contributor.authorDechwechprasit P.
dc.contributor.authorPhothisonothai M.
dc.contributor.authorTantisatirapong S.
dc.date.accessioned2021-04-05T03:22:26Z-
dc.date.available2021-04-05T03:22:26Z-
dc.date.issued2017
dc.identifier.other2-s2.0-85015875137
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13148-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015875137&doi=10.1109%2fBMEiCON.2016.7859643&partnerID=40&md5=0fbf21e00f52dd63b9c604a26379d91d
dc.description.abstractThe study of brain activity can be done by visual stimulus flickering at specific frequencies, Steady-State Visual Evoked Potential or as known as SSVEP. SSVEP is to stimulate the EEG signal to locate the desired goal of the experiment when a visual stimulus flickering with different constant frequencies and same duration. We aim to present a case study of electroencephalogram (EEG) signal by analyzing the frequency response of the red and green light. The stimulation is based on SSVEP by dividing the trial into two trials: single light and two lights. We considered three parameters that are light color, frequency and epoch interval. The optimal experimental results showed the classification accuracy rate of 74% and 75% for single and two color lights, respectively. The results can be considerably applied to the brain-computer interface (BCI) system. © 2016 IEEE.
dc.subjectBioelectric potentials
dc.subjectBiomedical engineering
dc.subjectBrain
dc.subjectElectroencephalography
dc.subjectFlickering
dc.subjectFrequency response
dc.subjectInterface states
dc.subjectInterfaces (computer)
dc.subjectClassification accuracy
dc.subjectConstant frequency
dc.subjectElectroencephalogram signals
dc.subjectSpecific frequencies
dc.subjectSteady state visual evoked potentials
dc.subjectSteady state visually evoked potentials
dc.subjectThree parameters
dc.subjectTime frequency analysis
dc.subjectBrain computer interface
dc.titleTime-frequency analysis of red-green visual flickers based on steady-state visual evoked potential recording
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitationBMEiCON 2016 - 9th Biomedical Engineering International Conference. (2017)
dc.identifier.doi10.1109/BMEiCON.2016.7859643
Appears in Collections:Scopus 1983-2021

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