Brain-computer communication: self-regulation of slow cortical potentials for verbal communication.

By Andrea Kübler, N. Neumann, Jochen Kaiser, Boris Kotchoubey, Thilo Hinterberger, Niels Birbaumer. Archives of Physical Medicine and Rehabilitation, 2001

385 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Neurology

View Paper: https://www.semanticscholar.org/paper/09659010f26b2dfb1571369c1abcb383d848f6b6

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Citations in the corpus

Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface. (2009, methodology): “All rights reserved. characters or icons for communication purposes (Birbaumer et al., 1999; Kübler et al., 2001; Neuper et al., 2006; Scherer et al., 2004), or to acquire control of a neuroprosthesis to restore grasping (Müller-Putz et al., 2005; Neuper et al., 2006).”
A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. (2008, background): “In a free-spelling session, participants choose characters at will (Kübler et al., 2001).”
A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns (2010, background): “However, mean accuracy was 65.53% in this condition; thus this level of accuracy is not sufficient for effective communication, as 70% is typically assumed to be required (K} ubler et al., 2001, 2009; Sellers et al., 2006).”
Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design (2013, background): “Indeed, they showed that positive feedback was beneﬁcial for new or inexperienced BCI users, but harmful for advanced BCI users (Kübler et al., 2001; Barbero-Jimenez and Grosse-Wentrup, 2010; Faller et al., 2012).”
A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients (2009, methodology): “6 , 27 In the current study, we explored whether patients in the late stages of ALS in the locked-in state (LIS), or in the LIS with periods of CLIS, were able to spell words using the auditory ERP–BCI.”
Could Anyone Use a BCI? (2010, background): “Other authors have noted that users may prefer a more accurate system over one that maximizes ITR (Kübler et al. 2001; Wolpaw et al. 2002; Allison et al. 2007).”
An auditory oddball (P300) spelling system for brain-computer interfaces. (2009, methodology): “…with severe degenerative neurological diseases, such as amyotrophic lateral sclerosis (ALS), can use a brain-computer interface (BCI) for communication with a high level of accuracy (Birbaumer et al., 1999; Kübler et al., 2001; Nijboer et al., 2005; Piccione et al., 2006; Sellers & Donchin, 2006).”
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals (2007, methodology): “Response to mental tasks BCI systems based on non-movement mental tasks assume that different mental tasks (e.g., solving a multiplication problem, imagining a 3D object, and mental counting) lead to distinct, task-specific distributions of EEG frequency patterns over the scalp (Kubler et al 2001a).”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “A series of studies in people with ALS and other severe neurological diseases in different stages of physical impairment confirmed the ability of the SCP BCI to provide basic communication capability [102]–[104].”
Brain–computer interfaces: communication and restoration of movement in paralysis (2007, background): “Over the past 15 years, 28 patients with ALS and five patients with other severe brain disorders were trained with BCIs, most of them in their homes (Birbaumer et al. 1999; Kübler et al. 2001a,b, Birbaumer, 2006b; Kübler & Birbaumer, submitted).”