Enhanced Single Channel SSVEP Detection Method on Benchmark Dataset
| dc.contributor.author | Sozer, Abdullah Talha | |
| dc.date.accessioned | 2024-09-29T16:11:30Z | |
| dc.date.available | 2024-09-29T16:11:30Z | |
| dc.date.issued | 2018 | |
| dc.department | Karabük Üniversitesi | en_US |
| dc.description | 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) -- SEP 05-07, 2018 -- Mexico City, MEXICO | en_US |
| dc.description.abstract | Steady state visual evoked potential (SSVEP) is a brain response that allows a practical and high-performance brain-computer interface (BCI) to be designed. SSVEP response is a near sinusoidal waveform at a visual stimulus frequency and is time-locked to stimulus onset. This paper presents a new single channel SSVEP detection method that takes advantage of the behaviour of SSVEP response. The proposed method defines subject-specific sinusoids at the training stage. Detection of a target stimulus frequency is achieved by a correlation value between the electroencephalography (EEG) signal and subject specific sinusoids at the test stage. The performance of the developed method was compared with the well-known power spectral density analysis (PSDA) on a benchmark dataset. Experimental results show that the developed method significantly improves the SSVEP detection accuracy (by about 23%) as well as the information transfer rate (ITR) compared to PSDA methods. | en_US |
| dc.description.sponsorship | IEEE,Electron Devices Soc,Cinvestav | en_US |
| dc.identifier.isbn | 978-1-5386-7033-0 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14619/8492 | |
| dc.identifier.wos | WOS:000455765400035 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2018 15th International Conference On Electrical Engineering, Computing Science and Automatic Control (Cce) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Brain computer interface | en_US |
| dc.subject | Steady-state visual evoked potential | en_US |
| dc.subject | single channel detection | en_US |
| dc.title | Enhanced Single Channel SSVEP Detection Method on Benchmark Dataset | en_US |
| dc.type | Conference Object | en_US |
