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PUBMED FOR HANDHELDS

Journal Abstract Search


139 related items for PubMed ID: 31071045

  • 1. An Asynchronous Hybrid Spelling Approach Based on EEG-EOG Signals for Chinese Character Input.
    Yu Y, Liu Y, Yin E, Jiang J, Zhou Z, Hu D.
    IEEE Trans Neural Syst Rehabil Eng; 2019 Jun; 27(6):1292-1302. PubMed ID: 31071045
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  • 2. A High Performance Spelling System based on EEG-EOG Signals With Visual Feedback.
    Lee MH, Williamson J, Won DO, Fazli S, Lee SW.
    IEEE Trans Neural Syst Rehabil Eng; 2018 Jul; 26(7):1443-1459. PubMed ID: 29985154
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  • 4. A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm.
    Yin E, Zhou Z, Jiang J, Chen F, Liu Y, Hu D.
    J Neural Eng; 2013 Apr; 10(2):026012. PubMed ID: 23429035
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  • 5. P300-based brain-neuronal computer interaction for spelling applications.
    Postelnicu CC, Talaba D.
    IEEE Trans Biomed Eng; 2013 Feb; 60(2):534-43. PubMed ID: 23204263
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  • 6. A novel EEG-based spelling system using N100 and P300.
    Sato H, Washizawa Y.
    Stud Health Technol Inform; 2014 Feb; 205():428-32. PubMed ID: 25160220
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  • 11. 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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  • 13. Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.
    Mainsah BO, Collins LM, Colwell KA, Sellers EW, Ryan DB, Caves K, Throckmorton CS.
    J Neural Eng; 2015 Feb; 12(1):016013. PubMed ID: 25588137
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  • 14. Initial test of a T9-like P300-based speller by an ALS patient.
    Ron-Angevin R, Varona-Moya S, da Silva-Sauer L.
    J Neural Eng; 2015 Aug; 12(4):046023. PubMed ID: 26083683
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