Enhanced Single Channel SSVEP Detection Method on Benchmark Dataset
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2018 IEEE.
Açıklama
Cinestav; Department Automatic Control Electrical Engineering; Department CCE; Electron Devices Society (EDS); IEEE
15th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2018 -- 5 September 2018 through 7 September 2018 -- Mexico City -- 142484
15th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2018 -- 5 September 2018 through 7 September 2018 -- Mexico City -- 142484
Anahtar Kelimeler
Brain computer interface, Single channel detection, Steady-state visual evoked potential
Kaynak
2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2018
WoS Q Değeri
Scopus Q Değeri
N/A
