BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 26082705)

  • 1. Effects of user mental state on EEG-BCI performance.
    Myrden A; Chau T
    Front Hum Neurosci; 2015; 9():308. PubMed ID: 26082705
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Towards psychologically adaptive brain-computer interfaces.
    Myrden A; Chau T
    J Neural Eng; 2016 Dec; 13(6):066022. PubMed ID: 27841163
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Passive EEG-BCI for Single-Trial Detection of Changes in Mental State.
    Myrden A; Chau T
    IEEE Trans Neural Syst Rehabil Eng; 2017 Apr; 25(4):345-356. PubMed ID: 28092565
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mental workload during brain-computer interface training.
    Felton EA; Williams JC; Vanderheiden GC; Radwin RG
    Ergonomics; 2012; 55(5):526-37. PubMed ID: 22506483
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Impact of auditory distraction on user performance in a brain-computer interface driven by different mental tasks.
    Friedrich EV; Scherer R; Sonnleitner K; Neuper C
    Clin Neurophysiol; 2011 Oct; 122(10):2003-9. PubMed ID: 21511526
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Long-term evaluation of a 4-class imagery-based brain-computer interface.
    Friedrich EV; Scherer R; Neuper C
    Clin Neurophysiol; 2013 May; 124(5):916-27. PubMed ID: 23290926
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface Practice.
    Li S; Duan J; Sun Y; Sheng X; Zhu X; Meng J
    Front Neurosci; 2021; 15():773790. PubMed ID: 34924942
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Usability and performance-informed selection of personalized mental tasks for an online near-infrared spectroscopy brain-computer interface.
    Weyand S; Schudlo L; Takehara-Nishiuchi K; Chau T
    Neurophotonics; 2015 Apr; 2(2):025001. PubMed ID: 26158005
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Long-term independent brain-computer interface home use improves quality of life of a patient in the locked-in state: a case study.
    Holz EM; Botrel L; Kaufmann T; Kübler A
    Arch Phys Med Rehabil; 2015 Mar; 96(3 Suppl):S16-26. PubMed ID: 25721543
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Role of Visual Noise in Influencing Mental Load and Fatigue in a Steady-State Motion Visual Evoked Potential-Based Brain-Computer Interface.
    Xie J; Xu G; Luo A; Li M; Zhang S; Han C; Yan W
    Sensors (Basel); 2017 Aug; 17(8):. PubMed ID: 28805731
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Motor imagery and mental fatigue: inter-relationship and EEG based estimation.
    Talukdar U; Hazarika SM; Gan JQ
    J Comput Neurosci; 2019 Feb; 46(1):55-76. PubMed ID: 30488148
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation.
    Tonin L; Leeb R; Sobolewski A; Millán Jdel R
    J Neural Eng; 2013 Oct; 10(5):056007. PubMed ID: 23918205
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Individually adapted imagery improves brain-computer interface performance in end-users with disability.
    Scherer R; Faller J; Friedrich EV; Opisso E; Costa U; Kübler A; Müller-Putz GR
    PLoS One; 2015; 10(5):e0123727. PubMed ID: 25992718
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development of a robust asynchronous brain-switch using ErrP-based error correction.
    Yousefi R; Rezazadeh Sereshkeh A; Chau T
    J Neural Eng; 2019 Nov; 16(6):066042. PubMed ID: 31571608
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Examining sensory ability, feature matching and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential.
    Brumberg JS; Nguyen A; Pitt KM; Lorenz SD
    Disabil Rehabil Assist Technol; 2019 Apr; 14(3):241-249. PubMed ID: 29385839
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Brain-computer interface controlled gaming: evaluation of usability by severely motor restricted end-users.
    Holz EM; Höhne J; Staiger-Sälzer P; Tangermann M; Kübler A
    Artif Intell Med; 2013 Oct; 59(2):111-20. PubMed ID: 24080080
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Towards a system-paced near-infrared spectroscopy brain-computer interface: differentiating prefrontal activity due to mental arithmetic and mental singing from the no-control state.
    Power SD; Kushki A; Chau T
    J Neural Eng; 2011 Dec; 8(6):066004. PubMed ID: 21975364
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Single trial classification of motor imagination using 6 dry EEG electrodes.
    Popescu F; Fazli S; Badower Y; Blankertz B; Müller KR
    PLoS One; 2007 Jul; 2(7):e637. PubMed ID: 17653264
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Defining and quantifying users' mental imagery-based BCI skills: a first step.
    Lotte F; Jeunet C
    J Neural Eng; 2018 Aug; 15(4):046030. PubMed ID: 29769435
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance Prediction for a Near-Infrared Spectroscopy-Brain-Computer Interface Using Resting-State Functional Connectivity of the Prefrontal Cortex.
    Shin J; Im CH
    Int J Neural Syst; 2018 Dec; 28(10):1850023. PubMed ID: 29914312
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.