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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

126 related items for PubMed ID: 26256069

  • 1. The designs and applications of a scanning interface with electrical signal detection on the scalp for the severely disabled.
    Lin CS, Lin JC, Huang YC, Lai YC, Chang HC.
    Comput Methods Programs Biomed; 2015 Nov; 122(2):207-14. PubMed ID: 26256069
    [Abstract] [Full Text] [Related]

  • 2. Design of virtual keyboard using blink control method for the severely disabled.
    Yang SW, Lin CS, Lin SK, Lee CH.
    Comput Methods Programs Biomed; 2013 Aug; 111(2):410-8. PubMed ID: 23702128
    [Abstract] [Full Text] [Related]

  • 3. Controlling a human-computer interface system with a novel classification method that uses electrooculography signals.
    Wu SL, Liao LD, Lu SW, Jiang WL, Chen SA, Lin CT.
    IEEE Trans Biomed Eng; 2013 Aug; 60(8):2133-41. PubMed ID: 23446030
    [Abstract] [Full Text] [Related]

  • 4. A novel EOG/EEG hybrid human-machine interface adopting eye movements and ERPs: application to robot control.
    Ma J, Zhang Y, Cichocki A, Matsuno F.
    IEEE Trans Biomed Eng; 2015 Mar; 62(3):876-89. PubMed ID: 25398172
    [Abstract] [Full Text] [Related]

  • 5. Development of EOG-based communication system controlled by eight-directional eye movements.
    Yamagishi K, Hori J, Miyakawa M.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Mar; 2006():2574-7. PubMed ID: 17945724
    [Abstract] [Full Text] [Related]

  • 6. System for assisted mobility using eye movements based on electrooculography.
    Barea R, Boquete L, Mazo M, López E.
    IEEE Trans Neural Syst Rehabil Eng; 2002 Dec; 10(4):209-18. PubMed ID: 12611358
    [Abstract] [Full Text] [Related]

  • 7. EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface.
    Hosni SM, Shedeed HA, Mabrouk MS, Tolba MF.
    Neuroinformatics; 2019 Jul; 17(3):323-341. PubMed ID: 30368637
    [Abstract] [Full Text] [Related]

  • 8. An electrooculogram-based binary saccade sequence classification (BSSC) technique for augmentative communication and control.
    Keegan J, Burke E, Condron J.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Jul; 2009():2604-7. PubMed ID: 19965222
    [Abstract] [Full Text] [Related]

  • 9. Electrooculograms for Human-Computer Interaction: A Review.
    Chang WD.
    Sensors (Basel); 2019 Jun 14; 19(12):. PubMed ID: 31207949
    [Abstract] [Full Text] [Related]

  • 10. Hybrid Brain-Computer Interface (BCI) based on the EEG and EOG signals.
    Jiang J, Zhou Z, Yin E, Yu Y, Hu D.
    Biomed Mater Eng; 2014 Jun 14; 24(6):2919-25. PubMed ID: 25226998
    [Abstract] [Full Text] [Related]

  • 11. An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.
    Akce A, Norton JJ, Bretl T.
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep 14; 23(5):857-66. PubMed ID: 25474810
    [Abstract] [Full Text] [Related]

  • 12. An independent SSVEP-based brain-computer interface in locked-in syndrome.
    Lesenfants D, Habbal D, Lugo Z, Lebeau M, Horki P, Amico E, Pokorny C, Gómez F, Soddu A, Müller-Putz G, Laureys S, Noirhomme Q.
    J Neural Eng; 2014 Jun 14; 11(3):035002. PubMed ID: 24838215
    [Abstract] [Full Text] [Related]

  • 13. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface.
    Chen X, Wang Y, Gao S, Jung TP, Gao X.
    J Neural Eng; 2015 Aug 14; 12(4):046008. PubMed ID: 26035476
    [Abstract] [Full Text] [Related]

  • 14. A low-cost interface for control of computer functions by means of eye movements.
    Borghetti D, Bruni A, Fabbrini M, Murri L, Sartucci F.
    Comput Biol Med; 2007 Dec 14; 37(12):1765-70. PubMed ID: 17601527
    [Abstract] [Full Text] [Related]

  • 15. Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.
    Moghadamfalahi M, Orhan U, Akcakaya M, Nezamfar H, Fried-Oken M, Erdogmus D.
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep 14; 23(5):910-20. PubMed ID: 25775495
    [Abstract] [Full Text] [Related]

  • 16. Real-Time "Eye-Writing" Recognition Using Electrooculogram.
    Kwang-Ryeol Lee, Won-Du Chang, Sungkean Kim, Chang-Hwan Im.
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jan 14; 25(1):37-48. PubMed ID: 28113859
    [Abstract] [Full Text] [Related]

  • 17. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.
    Bashashati A, Fatourechi M, Ward RK, Birch GE.
    J Neural Eng; 2007 Jun 14; 4(2):R32-57. PubMed ID: 17409474
    [Abstract] [Full Text] [Related]

  • 18. Electrooculogram based system for computer control using a multiple feature classification model.
    Kherlopian AR, Gerrein JP, Yue M, Kim KE, Kim JW, Sukumaran M, Sajda P.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Jun 14; 2006():1295-8. PubMed ID: 17946887
    [Abstract] [Full Text] [Related]

  • 19. Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG).
    Witkowski M, Cortese M, Cempini M, Mellinger J, Vitiello N, Soekadar SR.
    J Neuroeng Rehabil; 2014 Dec 16; 11():165. PubMed ID: 25510922
    [Abstract] [Full Text] [Related]

  • 20. P300 Chinese input system based on Bayesian LDA.
    Jin J, Allison BZ, Brunner C, Wang B, Wang X, Zhang J, Neuper C, Pfurtscheller G.
    Biomed Tech (Berl); 2010 Feb 16; 55(1):5-18. PubMed ID: 20128741
    [Abstract] [Full Text] [Related]

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