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.
768 related articles for article (PubMed ID: 24835132)
1. Towards a holistic assessment of the user experience with hybrid BCIs. Lorenz R; Pascual J; Blankertz B; Vidaurre C J Neural Eng; 2014 Jun; 11(3):035007. PubMed ID: 24835132 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Hybrid P300-based brain-computer interface to improve usability for people with severe motor disability: electromyographic signals for error correction during a spelling task. Riccio A; Holz EM; Aricò P; Leotta F; Aloise F; Desideri L; Rimondini M; Kübler A; Mattia D; Cincotti F Arch Phys Med Rehabil; 2015 Mar; 96(3 Suppl):S54-61. PubMed ID: 25721548 [TBL] [Abstract][Full Text] [Related]
6. User-centered design in brain-computer interfaces-a case study. Schreuder M; Riccio A; Risetti M; Dähne S; Ramsay A; Williamson J; Mattia D; Tangermann M Artif Intell Med; 2013 Oct; 59(2):71-80. PubMed ID: 24076341 [TBL] [Abstract][Full Text] [Related]
7. Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain-computer interface accuracy. Müller-Putz GR; Daly I; Kaiser V J Neural Eng; 2014 Jun; 11(3):035011. PubMed ID: 24835837 [TBL] [Abstract][Full Text] [Related]
8. Brain Painting: usability testing according to the user-centered design in end users with severe motor paralysis. Zickler C; Halder S; Kleih SC; Herbert C; Kübler A Artif Intell Med; 2013 Oct; 59(2):99-110. PubMed ID: 24080077 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. The user-centered design as novel perspective for evaluating the usability of BCI-controlled applications. Kübler A; Holz EM; Riccio A; Zickler C; Kaufmann T; Kleih SC; Staiger-Sälzer P; Desideri L; Hoogerwerf EJ; Mattia D PLoS One; 2014; 9(12):e112392. PubMed ID: 25469774 [TBL] [Abstract][Full Text] [Related]
12. Hybrid brain-computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury. Rohm M; Schneiders M; Müller C; Kreilinger A; Kaiser V; Müller-Putz GR; Rupp R Artif Intell Med; 2013 Oct; 59(2):133-42. PubMed ID: 24064256 [TBL] [Abstract][Full Text] [Related]
13. A comparison of three brain-computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals. Brunner C; Allison BZ; Altstätter C; Neuper C J Neural Eng; 2011 Apr; 8(2):025010. PubMed ID: 21436538 [TBL] [Abstract][Full Text] [Related]
14. A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study. Wang K; Wang Z; Guo Y; He F; Qi H; Xu M; Ming D J Neuroeng Rehabil; 2017 Sep; 14(1):93. PubMed ID: 28893295 [TBL] [Abstract][Full Text] [Related]
15. Living with an autonomous spatiotemporal home heating system: Exploration of the user experiences (UX) through a longitudinal technology intervention-based mixed-methods approach. Kruusimagi M; Sharples S; Robinson D Appl Ergon; 2017 Nov; 65():286-308. PubMed ID: 28802449 [TBL] [Abstract][Full Text] [Related]
16. Assistive device with conventional, alternative, and brain-computer interface inputs to enhance interaction with the environment for people with amyotrophic lateral sclerosis: a feasibility and usability study. Schettini F; Riccio A; Simione L; Liberati G; Caruso M; Frasca V; Calabrese B; Mecella M; Pizzimenti A; Inghilleri M; Mattia D; Cincotti F Arch Phys Med Rehabil; 2015 Mar; 96(3 Suppl):S46-53. PubMed ID: 25721547 [TBL] [Abstract][Full Text] [Related]
17. Using brain-computer interfaces: a scoping review of studies employing social research methods. Kögel J; Schmid JR; Jox RJ; Friedrich O BMC Med Ethics; 2019 Mar; 20(1):18. PubMed ID: 30845952 [TBL] [Abstract][Full Text] [Related]
18. Brain-computer interface users speak up: the Virtual Users' Forum at the 2013 International Brain-Computer Interface Meeting. Peters B; Bieker G; Heckman SM; Huggins JE; Wolf C; Zeitlin D; Fried-Oken M Arch Phys Med Rehabil; 2015 Mar; 96(3 Suppl):S33-7. PubMed ID: 25721545 [TBL] [Abstract][Full Text] [Related]
19. Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG. Kaiser V; Bauernfeind G; Kreilinger A; Kaufmann T; Kübler A; Neuper C; Müller-Putz GR Neuroimage; 2014 Jan; 85 Pt 1():432-44. PubMed ID: 23651839 [TBL] [Abstract][Full Text] [Related]
20. Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study. Jeunet C; Jahanpour E; Lotte F J Neural Eng; 2016 Jun; 13(3):036024. PubMed ID: 27172246 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]