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Journal Abstract Search

391 related items for PubMed ID: 27705956

  • 1. Using the detectability index to predict P300 speller performance.
    Mainsah BO, Collins LM, Throckmorton CS.
    J Neural Eng; 2016 Dec; 13(6):066007. PubMed ID: 27705956
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  • 6. A region-based two-step P300-based brain-computer interface for patients with amyotrophic lateral sclerosis.
    Ikegami S, Takano K, Kondo K, Saeki N, Kansaku K.
    Clin Neurophysiol; 2014 Nov; 125(11):2305-2312. PubMed ID: 24731767
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  • 8. Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.
    Mainsah BO, Reeves G, Collins LM, Throckmorton CS.
    J Neural Eng; 2017 Aug; 14(4):046025. PubMed ID: 28548052
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  • 9. Pairwise and variance based signal compression algorithm (PVBSC) in the P300 based speller systems using EEG signals.
    Arican M, Polat K.
    Comput Methods Programs Biomed; 2019 Jul; 176():149-157. PubMed ID: 31200902
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  • 10. Comparison of a row-column speller vs. a novel lateral single-character speller: assessment of BCI for severe motor disabled patients.
    Pires G, Nunes U, Castelo-Branco M.
    Clin Neurophysiol; 2012 Jun; 123(6):1168-81. PubMed ID: 22244868
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  • 13. Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.
    Mainsah BO, Morton KD, Collins LM, Sellers EW, Throckmorton CS.
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep; 23(5):737-43. PubMed ID: 25438320
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  • 17. Fusion of P300 and eye-tracker data for spelling using BCI2000.
    Kalika D, Collins L, Caves K, Throckmorton C.
    J Neural Eng; 2017 Oct; 14(5):056010. PubMed ID: 28585523
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  • 19. A comparison between a matrix-based and a region-based P300 speller paradigms for brain-computer interface.
    Fazel-Rezai R, Abhari K.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Oct; 2008():1147-50. PubMed ID: 19162867
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