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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

275 related items for PubMed ID: 17487075

  • 1. Electrooculogram wheelchair control.
    Philips GR, Catellier AA, Barrett SF, Wright CH.
    Biomed Sci Instrum; 2007; 43():164-9. PubMed ID: 17487075
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. A collaborative wheelchair system.
    Zeng Q, Teo CL, Rebsamen B, Burdet E.
    IEEE Trans Neural Syst Rehabil Eng; 2008 Apr; 16(2):161-70. PubMed ID: 18403284
    [Abstract] [Full Text] [Related]

  • 4. An inductive tongue computer interface for control of computers and assistive devices.
    Struijk LN.
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 2):2594-7. PubMed ID: 17152438
    [Abstract] [Full Text] [Related]

  • 5. Monitoring eye movement with a computer based Electro-oculogram (EOG).
    Dibble JM, Teters CK.
    Biomed Sci Instrum; 2004 Dec; 40():463-8. PubMed ID: 15134002
    [Abstract] [Full Text] [Related]

  • 6. Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review.
    Kaur A.
    J Med Eng Technol; 2021 Jan; 45(1):61-74. PubMed ID: 33302770
    [Abstract] [Full Text] [Related]

  • 7. The Middlesex University rehabilitation robot.
    Parsons B, White A, Prior S, Warner P.
    J Med Eng Technol; 2005 Jan; 29(4):151-62. PubMed ID: 16012066
    [Abstract] [Full Text] [Related]

  • 8. Next generation autonomous wheelchair control.
    Benson J, Barrett S.
    Biomed Sci Instrum; 2005 Jan; 41():283-8. PubMed ID: 15850119
    [Abstract] [Full Text] [Related]

  • 9. A system for the delivery of programmable, adaptive stimulation intensity envelopes for drop foot correction applications.
    Breen PP, O'Keeffe DT, Conway R, Lyons GM.
    Med Eng Phys; 2006 Mar; 28(2):177-86. PubMed ID: 15927517
    [Abstract] [Full Text] [Related]

  • 10. 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]

  • 11. Walking with WALK! A cooperative, patient-driven neuroprosthetic system.
    Fuhr T, Quintern J, Riener R, Schmidt G.
    IEEE Eng Med Biol Mag; 2008 Aug; 27(1):38-48. PubMed ID: 18270049
    [No Abstract] [Full Text] [Related]

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  • 13. The Hephaestus Smart Wheelchair System.
    Simpson RC, Poirot D, Baxter F.
    IEEE Trans Neural Syst Rehabil Eng; 2002 Jun; 10(2):118-22. PubMed ID: 12236449
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  • 16. Brain-computer interface using a simplified functional near-infrared spectroscopy system.
    Coyle SM, Ward TE, Markham CM.
    J Neural Eng; 2007 Sep; 4(3):219-26. PubMed ID: 17873424
    [Abstract] [Full Text] [Related]

  • 17. Voice control of a powered wheelchair.
    Simpson RC, Levine SP.
    IEEE Trans Neural Syst Rehabil Eng; 2002 Jun; 10(2):122-5. PubMed ID: 12236450
    [Abstract] [Full Text] [Related]

  • 18. Engineering better wheelchairs to enhance community participation.
    Cooper RA, Boninger ML, Spaeth DM, Ding D, Guo S, Koontz AM, Fitzgerald SG, Cooper R, Kelleher A, Collins DM.
    IEEE Trans Neural Syst Rehabil Eng; 2006 Dec; 14(4):438-55. PubMed ID: 17190036
    [Abstract] [Full Text] [Related]

  • 19. Assisting versus repelling force-feedback for learning of a line following task in a wheelchair.
    Chen X, Agrawal SK.
    IEEE Trans Neural Syst Rehabil Eng; 2013 Nov; 21(6):959-68. PubMed ID: 23475377
    [Abstract] [Full Text] [Related]

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