References
- Wolpaw JR, Birbaumer N, McFarland DJ, et al. Brain-computer interfaces for communication and control. Clin Neurophysiol 2002;113:767–91
- Wolpaw JR, Birbaumer N, Heetderks WJ, et al. Brain-computer interface technology: a review of the first international meeting. IEEE Trans Rehabil Eng 2000;8:164–73
- Huggins JE, Wren PA, Gruis KL. What would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosis. Amyotroph Lateral Scler 2011;12:318–24
- Treder MS, Blankertz B. (C)overt attention and visual speller design in an ERP-based brain-computer interface. Behav Brain Funct 2010;6:28
- Ryan DB, Frye GE, Townsend G, et al. Predictive spelling with a P300-based brain-computer interface: increasing the rate of communication. Int J Hum-Comput Interact 2011;27:69–84
- Gao X, Xu D, Cheng M, Gao S. A BCI-based environmental controller for the motion-disabled. Neural Sys Rehabil Eng IEEE Trans 2003;11:137–40
- Cincotti F, Mattia D, Aloise F, et al. Non-invasive brain-computer interface system: towards its application as assistive technology. Brain Res Bull 2008;75:796–803
- Zickler C, Riccio A, Leotta F, et al. A brain-computer interface as input channel for a standard assistive technology software. Clin EEG Neurosci 2011;42:236–44
- Karmali F, Polak M, Kostov A. Environmental control by a brain-computer interface. Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE. Vol. 4; Chicago, IL, USA; 2000: 2990–2
- Sellers EW, Vaughan TM, Wolpaw JR. A brain-computer interface for long-term independent home use. Amyotroph Lateral Scler 2010;11:449–55
- Thompson DE, Huggins JE. A multi-purpose brain-computer interface output device. Clin EEG Neurosci 2011;42:230–5
- Bergman E, Johnson E. Towards accessible human-computer interaction. In: Nielson J, ed. Advances in human-computer interaction. New Jersey: Ablex Publishing Corporation; 1995:87--113
- Ross DA. Implementing assistive technology on wearable computers. IEEE Intell Sys Appl 2001;16:47–53
- Kubler A, Mushahwar VK, Hochberg LR, Donoghue JP. BCI Meeting 2005 – workshop on clinical issues and applications. IEEE Trans Neural Syst Rehabil Eng 2006;14:131–4
- Farwell LA, Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol 1988;70:510–23
- Furdea A, Halder S, Krusienski DJ, et al. An auditory oddball (P300) spelling system for brain-computer interfaces. Psychophysiology 2009;46:617–25
- Polich J. Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol 2007;118:2128–48
- Holleis P, Otto F, Hussmann H, Schmidt A. Keystroke-level model for advanced mobile phone interaction. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI ’07; New York, NY, USA: ACM; 2007:1505–14. Available from: http://doi.acm.org/10.1145/1240624.1240851 [last accessed 4 Apr 2013]
- Cipresso P, Meriggi P, Carelli L, et al. The combined use of brain computer interface and eye-tracking technology for cognitive assessment in amyotrophic lateral sclerosis. 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth); Dublin, Ireland; 2011:320--4
- Thompson DE, Baker JJ, Sarnacki WA, Huggins JE. Plug-and-play brain-computer interface keyboard performance. 2009 4th International IEEE/EMBS Conference on Neural Engineering; IEEE, New York; 2009:426–8
- Kaufmann P, Levy G, Montes J, et al. Excellent inter-rater, intra-rater, and telephone-administered reliability of the ALSFRS-R in a multicenter clinical trial. Amyotroph Lateral Scler 2007;8:42–6
- Dal Seno B, Matteucci M, Mainardi LT. The utility metric: a novel method to assess the overall performance of discrete brain-computer interfaces. IEEE Trans Neural Syst Rehabil Eng 2010;18:20–8
- West BT, Welch KB, Galecki AT. Linear mixed models: a practical guide using statistical software. 1st ed. Boca Raton (FL): Chapman and Hall/CRC; 2006
- Piccione F, Giorgi F, Tonin P, et al. P300-based brain computer interface: Reliability and performance in healthy and paralysed participants. Clin Neurophysiol 2006;117:531–7
- Walhovd KB, Rosquist H, Fjell AM. P300 amplitude age reductions are not caused by latency jitter. Psychophysiology 2008;45:545–53
- Kleih SC, Nijboer F, Halder S, Kuebler A. Motivation modulates the P300 amplitude during brain-computer interface use. Clin Neurophysiol 2010;121:1023–31
- Nijboer F, Birbaumer N, Kübler A. The influence of psychological state and motivation on brain--computer interface performance in patients with amyotrophic lateral sclerosis -- a longitudinal study. Front Neurosci [Internet] 2010;4:55. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2916671/ [last accessed 4 Apr 2013]
- Abrahams S, Leigh P, Harvey A, et al. Verbal fluency and executive dysfunction in amyotrophic lateral sclerosis (ALS). Neuropsychologia 2000;38:734–47
- Abrahams S, Goldstein LH, Simmons A, et al. Word retrieval in amyotrophic lateral sclerosis: a functional magnetic resonance imaging study. Brain 2004;127:1507–17
- Abrahams S, Leigh PN, Goldstein LH. Cognitive change in ALS A prospective study. Neurology 2005;64:1222–6
- Müller-Putz GR. Tools for brain-computer interaction: a general concept for a hybrid BCI. Frontiers in Neuroinformatics [Internet] 2011;5:30. Available from: http://www.frontiersin.org/Neuroinformatics/10.3389/fninf.2011.00030/abstract [last accessed 4 Apr 2013]
- Brunner P, Joshi S, Briskin S, et al. Does the “P300” speller depend on eye gaze? J Neural Eng 2010;7:056013
- Salvaris M, Sepulveda F. Visual modifications on the P300 speller BCI paradigm. J Neural Eng 2009;6:046011
- Takahashi H, Hirooka S. Stereoscopic see-through retinal projection head-mounted display. Proceedings of SPIE; 2008; San Jose, CA, USA; 68031N–68031N–8