A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients

By Andrea Kübler, Adrian Furdea, Sebastian Halder, Eva M. Hammer, Femke Nijboer, Boris Kotchoubey. Annals of the New York Academy of Sciences, 2009

333 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/2483317ab22efa09da6c1428527bb2e0ecec31dc

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In Cellular and Molecular Neuroscience

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Citations in the corpus

P300 brain computer interface: current challenges and emerging trends (2012, background): “Recent work has shown that P300 BCIs can be used for a wide range of different functions and can work with disabled users in home settings (Kübler et al., 2009; Sellers et al., 2010; Kleih et al., 2012), although some concerns about gaze shifting have emerged (Allison et al., 2008; Brunner et al.,…”
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).”
A novel deep learning approach for classification of EEG motor imagery signals (2017, methodology): “In the classification part, many traditional algorithms like support vector machine (SVM) [2, 16], linear discriminant analysis (LDA) [17] and Bayesian classifier [18] have been employed in different studies [8, 15, 19].”
Brain Computer Interfaces, a Review (2012, background): “make P300 spellers suitable for this group of patients [129,272–274].”
(C)overt attention and visual speller design in an ERP-based brain-computer interface (2010, background): “A number of variations of the original speller have been developed, and it has also been adapted to non-visual modalities by using auditory [2-6] and tactile [7] stimulation.”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “useful for patients with limited or restricted eye movement or eyesight; such BCIs are currently under development [19], [21], [117], [118].”
Could Anyone Use a BCI? (2010, methodology): “Like SSVEP BCIs, P300 BCIs rely on selective attention to visual stimuli (Allison and Pineda 2006; Sellers and Donchin 2006; Lenhardt et al. 2008; Kübler et al. 2009; Jing et al. 2010).”
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, unknown): “Auditory-based (58, 332, 410, 440, 455, 643) and tactile-based (95, 514, 814) P300 interfaces have been implemented, as well.”