These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 18350133)

  • 1. The self-paced graz brain-computer interface: methods and applications.
    Scherer R; Schloegl A; Lee F; Bischof H; Jansa J; Pfurtscheller G
    Comput Intell Neurosci; 2007; 2007():79826. PubMed ID: 18350133
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Toward self-paced brain-computer communication: navigation through virtual worlds.
    Scherer R; Lee F; Schlogl A; Leeb R; Bischof H; Pfurtscheller G
    IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):675-82. PubMed ID: 18270004
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Real-Time Navigation in Google Street View
    Yang L; Van Hulle MM
    Sensors (Basel); 2023 Feb; 23(3):. PubMed ID: 36772744
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery.
    Koo B; Lee HG; Nam Y; Kang H; Koh CS; Shin HC; Choi S
    J Neurosci Methods; 2015 Apr; 244():26-32. PubMed ID: 24797225
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Flexibility and practicality graz brain-computer interface approach.
    Scherer R; Müller-Putz GR; Pfurtscheller G
    Int Rev Neurobiol; 2009; 86():119-31. PubMed ID: 19607995
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A multi-modal modified feedback self-paced BCI to control the gait of an avatar.
    Alchalabi B; Faubert J; Labbé DR
    J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33711832
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Brain-computer communication: motivation, aim, and impact of exploring a virtual apartment.
    Leeb R; Lee F; Keinrath C; Scherer R; Bischof H; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2007 Dec; 15(4):473-82. PubMed ID: 18198704
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline.
    Statthaler K; Schwarz A; Steyrl D; Kobler R; Höller MK; Brandstetter J; Hehenberger L; Bigga M; Müller-Putz G
    J Neuroeng Rehabil; 2017 Dec; 14(1):129. PubMed ID: 29282131
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel Morse code-inspired method for multiclass motor imagery brain-computer interface (BCI) design.
    Jiang J; Zhou Z; Yin E; Yu Y; Liu Y; Hu D
    Comput Biol Med; 2015 Nov; 66():11-9. PubMed ID: 26340647
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Motor imagery and EEG-based control of spelling devices and neuroprostheses.
    Neuper C; Müller-Putz GR; Scherer R; Pfurtscheller G
    Prog Brain Res; 2006; 159():393-409. PubMed ID: 17071244
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain-Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate.
    Ha J; Park S; Im CH
    Front Neuroinform; 2022; 16():758537. PubMed ID: 35281718
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic artefact removal in a self-paced hybrid brain- computer interface system.
    Yong X; Fatourechi M; Ward RK; Birch GE
    J Neuroeng Rehabil; 2012 Jul; 9():50. PubMed ID: 22838499
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System.
    Huang Q; Zhang Z; Yu T; He S; Li Y
    Front Neurosci; 2019; 13():1243. PubMed ID: 31824245
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.
    Tsui CS; Gan JQ; Roberts SJ
    Med Biol Eng Comput; 2009 Mar; 47(3):257-65. PubMed ID: 19225819
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EMG and EOG artifacts in brain computer interface systems: A survey.
    Fatourechi M; Bashashati A; Ward RK; Birch GE
    Clin Neurophysiol; 2007 Mar; 118(3):480-94. PubMed ID: 17169606
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Novel Technique for Selecting EMG-Contaminated EEG Channels in Self-Paced Brain-Computer Interface Task Onset.
    Song Y; Sepulveda F
    IEEE Trans Neural Syst Rehabil Eng; 2018 Jul; 26(7):1353-1362. PubMed ID: 29985144
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Brain-computer interface (BCI) operation: signal and noise during early training sessions.
    McFarland DJ; Sarnacki WA; Vaughan TM; Wolpaw JR
    Clin Neurophysiol; 2005 Jan; 116(1):56-62. PubMed ID: 15589184
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessing motor imagery in brain-computer interface training: Psychological and neurophysiological correlates.
    Vasilyev A; Liburkina S; Yakovlev L; Perepelkina O; Kaplan A
    Neuropsychologia; 2017 Mar; 97():56-65. PubMed ID: 28167121
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.