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Disability and Rehabilitation: Assistive Technology Volume 14, 2019 - Issue 3
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Original Research

Examining sensory ability, feature matching and assessment-based adaptation for a brain–computer interface using the steady-state visually evoked potential

Jonathan S. BrumbergDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, KS, USA; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-5739-968XView further author information
ORCID Icon,
Anh NguyenDepartment of Speech Language & Hearing Sciences, College of Health & Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA; View further author information
,
Kevin M. PittDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, KS, USA; View further author information
&
Sean D. LorenzCenter for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USAView further author information
Pages 241-249 | Received 14 Sep 2017, Accepted 11 Jan 2018, Published online: 31 Jan 2018

Citations (9)

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Read on this site (4)

Kevin M. Pitt, Miechelle McKelvey & Kristy Weissling. (2022) The perspectives of augmentative and alternative communication experts on the clinical integration of non-invasive brain-computer interfaces. Brain-Computer Interfaces 9:4, pages 193-210.
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Melanie Fried-Oken, Michelle Kinsella, Betts Peters, Brandon Eddy & Bruce Wojciechowski. (2020) Human visual skills for brain-computer interface use: a tutorial. Disability and Rehabilitation: Assistive Technology 15:7, pages 799-809.
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Kevin Pitt & Jonathan Brumberg. (2020) A screening protocol incorporating brain-computer interface feature matching considerations for augmentative and alternative communication. Assistive Technology 32:3, pages 161-172.
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Betts Peters, Matt Higger, Fernando Quivira, Steven Bedrick, Shiran Dudy, Brandon Eddy, Michelle Kinsella, Tab Memmott, Jack Wiedrick, Melanie Fried-Oken, Deniz Erdogmus & Barry Oken. (2018) Effects of simulated visual acuity and ocular motility impairments on SSVEP brain-computer interface performance: an experiment with Shuffle Speller. Brain-Computer Interfaces 5:2-3, pages 58-72.
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Articles from other publishers (5)

Betts Peters, Brandon Eddy, Deirdre Galvin-McLaughlin, Gail Betz, Barry Oken & Melanie Fried-Oken. (2022) A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities. Frontiers in Human Neuroscience 16.
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Angela I. Renton, David R. Painter & Jason B. Mattingley. (2022) Optimising the classification of feature-based attention in frequency-tagged electroencephalography data. Scientific Data 9:1.
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Kevin M. Pitt & Aimee Dietz. (2022) Applying Implementation Science to Support Active Collaboration in Noninvasive Brain–Computer Interface Development and Translation for Augmentative and Alternative Communication. American Journal of Speech-Language Pathology 31:1, pages 515-526.
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Kevin M. Pitt, Jonathan S. Brumberg, Jeremy D. Burnison, Jyutika Mehta & Juhi Kidwai. (2019) Behind the Scenes of Noninvasive Brain–Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter. Perspectives of the ASHA Special Interest Groups 4:6, pages 1622-1636.
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Kevin M. Pitt & Jonathan S. Brumberg. (2018) Guidelines for Feature Matching Assessment of Brain–Computer Interfaces for Augmentative and Alternative Communication. American Journal of Speech-Language Pathology 27:3, pages 950-964.
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