Literature DB >> 27590976

BCI in practice.

D J McFarland1, T M Vaughan2.   

Abstract

Brain-computer interfaces are systems that use signals recorded from the brain to enable communication and control applications for individuals who have impaired function. This technology has developed to the point that it is now being used by individuals who can actually benefit from it. However, there are several outstanding issues that prevent widespread use. These include the ease of obtaining high-quality recordings by home users, the speed, and accuracy of current devices and adapting applications to the needs of the user. In this chapter, we discuss some of these unsolved issues.
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain–computer interface; Home use; Neurotechnologies

Mesh:

Year:  2016        PMID: 27590976     DOI: 10.1016/bs.pbr.2016.06.005

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  4 in total

Review 1.  Brain-computer interfaces for amyotrophic lateral sclerosis.

Authors:  Dennis J McFarland
Journal:  Muscle Nerve       Date:  2020-06       Impact factor: 3.217

2.  EEG-Based Brain-Computer Interfaces.

Authors:  D J McFarland; J R Wolpaw
Journal:  Curr Opin Biomed Eng       Date:  2017-11-28

3.  Complete Locked-in and Locked-in Patients: Command Following Assessment and Communication with Vibro-Tactile P300 and Motor Imagery Brain-Computer Interface Tools.

Authors:  Christoph Guger; Rossella Spataro; Brendan Z Allison; Alexander Heilinger; Rupert Ortner; Woosang Cho; Vincenzo La Bella
Journal:  Front Neurosci       Date:  2017-05-05       Impact factor: 4.677

4.  A Virtual Reality Muscle-Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study.

Authors:  Octavio Marin-Pardo; Christopher M Laine; Miranda Rennie; Kaori L Ito; James Finley; Sook-Lei Liew
Journal:  Sensors (Basel)       Date:  2020-07-04       Impact factor: 3.576

  4 in total

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