BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 29060043)

  • 1. A Brain Machine Interface for command based control of a wheelchair using conditioning of oscillatory brain activity.
    Hamad EM; Al-Gharabli SI; Saket MM; Jubran O
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1002-1005. PubMed ID: 29060043
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair.
    Long J; Li Y; Wang H; Yu T; Pan J; Li F
    IEEE Trans Neural Syst Rehabil Eng; 2012 Sep; 20(5):720-9. PubMed ID: 22692936
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A hybrid brain computer interface system based on the neurophysiological protocol and brain-actuated switch for wheelchair control.
    Cao L; Li J; Ji H; Jiang C
    J Neurosci Methods; 2014 May; 229():33-43. PubMed ID: 24713576
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Investigating User Proficiency of Motor Imagery for EEG-Based BCI System to Control Simulated Wheelchair.
    Saichoo T; Boonbrahm P; Punsawad Y
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560158
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Towards BCI-actuated smart wheelchair system.
    Tang J; Liu Y; Hu D; Zhou Z
    Biomed Eng Online; 2018 Aug; 17(1):111. PubMed ID: 30126416
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Control of a simulated wheelchair based on a hybrid brain computer interface.
    Long J; Li Y; Wang H; Yu T; Pan J
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():6727-30. PubMed ID: 23367473
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A self-paced motor imagery based brain-computer interface for robotic wheelchair control.
    Tsui CS; Gan JQ; Hu H
    Clin EEG Neurosci; 2011 Oct; 42(4):225-9. PubMed ID: 22208119
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Control of a Wheelchair in an Indoor Environment Based on a Brain-Computer Interface and Automated Navigation.
    Zhang R; Li Y; Yan Y; Zhang H; Wu S; Yu T; Gu Z
    IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):128-39. PubMed ID: 26054072
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Brain-Computer Interface application: auditory serial interface to control a two-class motor-imagery-based wheelchair.
    Ron-Angevin R; Velasco-Álvarez F; Fernández-Rodríguez Á; Díaz-Estrella A; Blanca-Mena MJ; Vizcaíno-Martín FJ
    J Neuroeng Rehabil; 2017 May; 14(1):49. PubMed ID: 28558741
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An intelligent wheelchair based on automated navigation and BCI techniques.
    Zhang R; Li Y; Yan Y; Zhang H; Wu S
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1302-5. PubMed ID: 25570205
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations.
    Al-Qaysi ZT; Zaidan BB; Zaidan AA; Suzani MS
    Comput Methods Programs Biomed; 2018 Oct; 164():221-237. PubMed ID: 29958722
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assisted navigation based on shared-control, using discrete and sparse human-machine interfaces.
    Lopes AC; Nunes U; Vaz L; Vaz L
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():471-4. PubMed ID: 21095885
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control.
    Huang D; Qian K; Fei DY; Jia W; Chen X; Bai O
    IEEE Trans Neural Syst Rehabil Eng; 2012 May; 20(3):379-88. PubMed ID: 22498703
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A brain-actuated robotic arm system using non-invasive hybrid brain-computer interface and shared control strategy.
    Cao L; Li G; Xu Y; Zhang H; Shu X; Zhang D
    J Neural Eng; 2021 May; 18(4):. PubMed ID: 33862607
    [No Abstract]   [Full Text] [Related]  

  • 15. Brain-Computer Interface for Control of Wheelchair Using Fuzzy Neural Networks.
    Abiyev RH; Akkaya N; Aytac E; Günsel I; Çağman A
    Biomed Res Int; 2016; 2016():9359868. PubMed ID: 27777953
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation and application of a hybrid brain computer interface for real wheelchair parallel control with multi-degree of freedom.
    Li J; Ji H; Cao L; Zang D; Gu R; Xia B; Wu Q
    Int J Neural Syst; 2014 Jun; 24(4):1450014. PubMed ID: 24694169
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A brain-actuated wheelchair: asynchronous and non-invasive Brain-computer interfaces for continuous control of robots.
    Galán F; Nuttin M; Lew E; Ferrez PW; Vanacker G; Philips J; Millán Jdel R
    Clin Neurophysiol; 2008 Sep; 119(9):2159-69. PubMed ID: 18621580
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A brain controlled wheelchair to navigate in familiar environments.
    Rebsamen B; Guan C; Zhang H; Wang C; Teo C; Ang MH; Burdet E
    IEEE Trans Neural Syst Rehabil Eng; 2010 Dec; 18(6):590-8. PubMed ID: 20460212
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials.
    Kim KT; Suk HI; Lee SW
    IEEE Trans Neural Syst Rehabil Eng; 2018 Mar; 26(3):654-665. PubMed ID: 27514060
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Strathclyde brain computer interface.
    Valsan G; Grychtol B; Lakany H; Conway BA
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():606-9. PubMed ID: 19963973
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.