Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13148
Title: Time-frequency analysis of red-green visual flickers based on steady-state visual evoked potential recording
Authors: Dechwechprasit P.
Phothisonothai M.
Tantisatirapong S.
Keywords: Bioelectric potentials
Biomedical engineering
Brain
Electroencephalography
Flickering
Frequency response
Interface states
Interfaces (computer)
Classification accuracy
Constant frequency
Electroencephalogram signals
Specific frequencies
Steady state visual evoked potentials
Steady state visually evoked potentials
Three parameters
Time frequency analysis
Brain computer interface
Issue Date: 2017
Abstract: The 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.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13148
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015875137&doi=10.1109%2fBMEiCON.2016.7859643&partnerID=40&md5=0fbf21e00f52dd63b9c604a26379d91d
Appears in Collections:Scopus 1983-2021

Files in This Item:
There are no files associated with this item.


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.