In pursuit of an easy to use brain computer interface for domestic use in a population with brain injury
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Gernot R. Müller-Putz | Suzanne Martin | Elaine Armstrong | Andreas Pinegger | Jean Daly | G. Müller-Putz | Suzanne Martin | A. Pinegger | Elaine Armstrong | Jean Daly
[1] G. R. Muller,et al. Clinical application of an EEG-based brain–computer interface: a case study in a patient with severe motor impairment , 2003, Clinical Neurophysiology.
[2] J. Wolpaw,et al. A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance , 2006, Biological Psychology.
[3] Alexander Kaplan,et al. Adapting the P300-Based Brain–Computer Interface for Gaming: A Review , 2013, IEEE Transactions on Computational Intelligence and AI in Games.
[4] Tobias Kaufmann,et al. A User Centred Approach for Bringing BCI Controlled Applications to End-Users , 2013 .
[5] Michael Tangermann,et al. Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users , 2013, Artif. Intell. Medicine.
[6] J. DeLuca,et al. Cognitive impairment in multiple sclerosis , 2008, The Lancet Neurology.
[7] Helge J. Ritter,et al. 2009 Special Issue: The MindGame: A P300-based brain-computer interface game , 2009 .
[8] G Pfurtscheller,et al. EEG-based communication: improved accuracy by response verification. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[9] T. Vaughan,et al. Toward independent home use of brain-computer interfaces: a decision algorithm for selection of potential end-users. , 2015, Archives of physical medicine and rehabilitation.
[10] J. Wolpaw,et al. A P300-based brain–computer interface for people with amyotrophic lateral sclerosis , 2008, Clinical Neurophysiology.
[11] J. Wolpaw,et al. Brain–computer interfaces in neurological rehabilitation , 2008, The Lancet Neurology.
[12] John Williamson,et al. User-centered design in brain-computer interfaces - A case study , 2013, Artif. Intell. Medicine.
[13] A. Kübler,et al. Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy Volunteers , 2010, Front. Neurosci..
[14] Cornelia Herbert,et al. Brain Painting: Usability testing according to the user-centered design in end users with severe motor paralysis , 2013, Artif. Intell. Medicine.
[15] Josef Faller,et al. Control or non-control state: that is the question! An asynchronous visual P300-based BCI approach , 2015, Journal of neural engineering.
[16] Paul McCullagh,et al. Realistic Expectations with Brain Computer Interfaces , 2012 .
[17] Eloisa Vargiu,et al. Cognitive Rehabilitation through BNCI: Serious Games in BackHome , 2014 .
[18] O. Hardiman,et al. The syndrome of cognitive impairment in amyotrophic lateral sclerosis: a population-based study , 2011, Journal of Neurology, Neurosurgery & Psychiatry.
[19] Gernot R. Müller-Putz,et al. Brain-controlled applications using dynamic P300 speller matrices , 2015, Artif. Intell. Medicine.
[20] J. Wolpaw,et al. Brain-computer communication: unlocking the locked in. , 2001, Psychological bulletin.
[21] Gernot R. Müller-Putz,et al. The auditory P300-based single-switch brain-computer interface: Paradigm transition from healthy subjects to minimally conscious patients , 2013, Artif. Intell. Medicine.
[22] N. Birbaumer,et al. Predictability of Brain-Computer Communication , 2004 .
[23] Sarmad Alshawi,et al. THE ROLE OF USER REQUIREMENTS RESEARCH IN MEDICAL DEVICE DEVELOPMENT , 2010 .
[24] A. Kübler,et al. Face stimuli effectively prevent brain–computer interface inefficiency in patients with neurodegenerative disease , 2013, Clinical Neurophysiology.
[25] G. Pfurtscheller,et al. ‘Thought’ – control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia , 2003, Neuroscience Letters.
[26] Jonathan R Wolpaw,et al. A brain-computer interface for long-term independent home use , 2010, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.
[27] Donatella Mattia,et al. A Brain-Computer Interface as Input Channel for a Standard Assistive Technology Software , 2011, Clinical EEG and neuroscience.
[28] Patrick Carmichael,et al. BNCI systems as a potential assistive technology: ethical issues and participatory research in the BrainAble project , 2014, Disability and rehabilitation. Assistive technology.
[29] Selina Wriessnegger,et al. The Evaluation of a Brain Computer Interface System with Acquired Brain Injury End Users , 2014 .
[30] Selina Wriessnegger,et al. A P300 BCI for e - inclusion, cognitive rehabilitation and smart home control , 2014 .
[31] J. Polich. Updating P300: An integrative theory of P3a and P3b , 2007, Clinical Neurophysiology.
[32] R. Kreis,et al. Neuropsychological impairments and the impact of dystrophin mutations on general cognitive functioning of patients with Duchenne muscular dystrophy , 2011, Journal of Clinical Neuroscience.
[33] A. Kübler,et al. Flashing characters with famous faces improves ERP-based brain–computer interface performance , 2011, Journal of neural engineering.
[34] Louise Demers,et al. The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0): An overview and recent progress , 2002 .
[35] Suzanne Martin,et al. P300 Brain Computer Interface Control after an Acquired Brain Injury , 2015 .
[36] Brendan Z. Allison,et al. Comparison of Dry and Gel Based Electrodes for P300 Brain–Computer Interfaces , 2012, Front. Neurosci..