메뉴 건너뛰기




Volumn , Issue , 2013, Pages 251-254

Brain -Computer interface based on Steady -State Visual Evoked Potentials (SSVEP)

Author keywords

biological signals; brain computer interface (BCI); EEG signal; Electroencephalography (EEG); Steady State Visual Evoked Potentials (SSVEP)

Indexed keywords

BIOLOGICAL SIGNALS; EEG SIGNALS; HIGH SIGNALTO-NOISE RATIOS (SNR); NATURAL RESPONSE; STEADY-STATE VISUAL EVOKED POTENTIALS; STIMULUS FREQUENCY; VIRTUAL KEYBOARDS; VISUAL EVOKED POTENTIAL;

EID: 84883029064     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CarpathianCC.2013.6560548     Document Type: Conference Paper
Times cited : (15)

References (7)
  • 3
    • 22544486886 scopus 로고    scopus 로고
    • Visual spatial attention tracking using high-density ssvep data for independent brain-computer communication
    • June
    • S.P. Kelly, E. C. Lalor,."Visual Spatial Attention Tracking Using High.-Density SSVEP Data for Independent Brain.-Computer Communication.", IEEE Transactions On Neural Systems And Rehabilitation Engineering, June 2005, vol. 13, no. 2, pp: 172-178
    • (2005) IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol.13 , Issue.2 , pp. 172-178
    • Kelly, S.P.1    Lalor, E.C.2
  • 4
    • 84865136287 scopus 로고    scopus 로고
    • Biomedical signal identification and analysis
    • June
    • A. Nawrocka, A. Kot, M. Nawrocki."Biomedical signal identification and analysis.", JVE Journal of Vibroengineering, vol. 14, issue 2 June 2012, pp:546-552.
    • (2012) JVE Journal of Vibroengineering , vol.14 , Issue.2 , pp. 546-552
    • Nawrocka, A.1    Kot, A.2    Nawrocki, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.