Publication: Time-frequency analysis of red-green visual flickers based on steady-state visual evoked potential recording
| dc.contributor.author | Dechwechprasit P. | |
| dc.contributor.author | Phothisonothai M. | |
| dc.contributor.author | Tantisatirapong S. | |
| dc.date.accessioned | 2021-04-05T03:22:26Z | |
| dc.date.available | 2021-04-05T03:22:26Z | |
| dc.date.issued | 2017 | |
| dc.date.issuedBE | 2560 | |
| dc.description.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. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | BMEiCON 2016 - 9th Biomedical Engineering International Conference. (2017) | |
| dc.identifier.doi | 10.1109/BMEiCON.2016.7859643 | |
| dc.identifier.other | 2-s2.0-85015875137 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/4252 | |
| dc.rights.holder | Scopus | |
| dc.subject.other | Bioelectric potentials | |
| dc.subject.other | Biomedical engineering | |
| dc.subject.other | Brain | |
| dc.subject.other | Electroencephalography | |
| dc.subject.other | Flickering | |
| dc.subject.other | Frequency response | |
| dc.subject.other | Interface states | |
| dc.subject.other | Interfaces (computer) | |
| dc.subject.other | Classification accuracy | |
| dc.subject.other | Constant frequency | |
| dc.subject.other | Electroencephalogram signals | |
| dc.subject.other | Specific frequencies | |
| dc.subject.other | Steady state visual evoked potentials | |
| dc.subject.other | Steady state visually evoked potentials | |
| dc.subject.other | Three parameters | |
| dc.subject.other | Time frequency analysis | |
| dc.subject.other | Brain computer interface | |
| dc.title | Time-frequency analysis of red-green visual flickers based on steady-state visual evoked potential recording | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015875137&doi=10.1109%2fBMEiCON.2016.7859643&partnerID=40&md5=0fbf21e00f52dd63b9c604a26379d91d |
