Literature DB >> 24802700

Noninvasive brain-computer interfaces for augmentative and alternative communication.

Murat Akcakaya, Betts Peters, Mohammad Moghadamfalahi, Aimee R Mooney, Umut Orhan, Barry Oken, Deniz Erdogmus, Melanie Fried-Oken.   

Abstract

Brain-computer interfaces (BCIs) promise to provide a novel access channel for assistive technologies, including augmentative and alternative communication (AAC) systems, to people with severe speech and physical impairments (SSPI). Research on the subject has been accelerating significantly in the last decade and the research community took great strides toward making BCI-AAC a practical reality to individuals with SSPI. Nevertheless, the end goal has still not been reached and there is much work to be done to produce real-world-worthy systems that can be comfortably, conveniently, and reliably used by individuals with SSPI with help from their families and care givers who will need to maintain, setup, and debug the systems at home. This paper reviews reports in the BCI field that aim at AAC as the application domain with a consideration on both technical and clinical aspects.

Entities:  

Mesh:

Year:  2014        PMID: 24802700      PMCID: PMC6525622          DOI: 10.1109/RBME.2013.2295097

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  19 in total

1.  Brain-computer interface users speak up: the Virtual Users' Forum at the 2013 International Brain-Computer Interface Meeting.

Authors:  Betts Peters; Gregory Bieker; Susan M Heckman; Jane E Huggins; Catherine Wolf; Debra Zeitlin; Melanie Fried-Oken
Journal:  Arch Phys Med Rehabil       Date:  2015-03       Impact factor: 3.966

2.  An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling.

Authors:  Mohammad Moghadamfalahi; Murat Akcakaya; Hooman Nezamfar; Jamshid Sourati; Deniz Erdogmus
Journal:  IEEE Trans Signal Process       Date:  2017-07-17       Impact factor: 4.931

3.  Ethical Considerations in Ending Exploratory Brain-Computer Interface Research Studies in Locked-in Syndrome.

Authors:  Eran Klein; Betts Peters; Matt Higger
Journal:  Camb Q Healthc Ethics       Date:  2018-10       Impact factor: 1.284

4.  Recursive Bayesian Coding for BCIs.

Authors:  Matt Higger; Fernando Quivira; Murat Akcakaya; Mohammad Moghadamfalahi; Hooman Nezamfar; Mujdat Cetin; Deniz Erdogmus
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-07-13       Impact factor: 3.802

5.  SOLICITING BCI USER EXPERIENCE FEEDBACK FROM PEOPLE WITH SEVERE SPEECH AND PHYSICAL IMPAIRMENTS.

Authors:  Betts Peters; Aimee Mooney; Barry Oken; Melanie Fried-Oken
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-02-03

6.  Probabilistic Simulation Framework for EEG-Based BCI Design.

Authors:  Umut Orhan; Hooman Nezamfar; Murat Akcakaya; Deniz Erdogmus; Matt Higger; Mohammad Moghadamfalahi; Andrew Fowler; Brian Roark; Barry Oken; Melanie Fried-Oken
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-05

7.  The effects of working memory on brain-computer interface performance.

Authors:  Samantha A Sprague; Matthew T McBee; Eric W Sellers
Journal:  Clin Neurophysiol       Date:  2015-10-23       Impact factor: 3.708

8.  An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences.

Authors:  Paula Gonzalez-Navarro; Yeganeh M Marghi; Bahar Azari; Murat Akcakaya; Deniz Erdogmus
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-03-08       Impact factor: 3.802

9.  Spatio-Temporal EEG Models for Brain Interfaces.

Authors:  P Gonzalez-Navarro; M Moghadamfalahi; M Akcakaya; D Erdogmus
Journal:  Signal Processing       Date:  2016-08-06       Impact factor: 4.662

10.  Behind the Scenes of Noninvasive Brain-Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Jeremy D Burnison; Jyutika Mehta; Juhi Kidwai
Journal:  Perspect ASHA Spec Interest Groups       Date:  2019-11-09
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