Literature DB >> 22156029

Toward smarter BCIs: extending BCIs through hybridization and intelligent control.

B Z Allison1, R Leeb, C Brunner, G R Müller-Putz, G Bauernfeind, J W Kelly, C Neuper.   

Abstract

This paper summarizes two novel ways to extend brain-computer interface (BCI) systems. One way involves hybrid BCIs. A hybrid BCI is a system that combines a BCI with another device to help people send information. Different types of hybrid BCIs are discussed, along with challenges and issues. BCIs are also being extended through intelligent systems. Software that allows high-level control, incorporates context and the environment and/or uses virtual reality can substantially improve BCI systems. Throughout the paper, we critically address the real benefits of these improvements relative to existing technology and practices. We also present new challenges that are likely to emerge as these novel BCI directions become more widespread.

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Year:  2011        PMID: 22156029     DOI: 10.1088/1741-2560/9/1/013001

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  17 in total

1.  Demonstration of a semi-autonomous hybrid brain-machine interface using human intracranial EEG, eye tracking, and computer vision to control a robotic upper limb prosthetic.

Authors:  David P McMullen; Guy Hotson; Kapil D Katyal; Brock A Wester; Matthew S Fifer; Timothy G McGee; Andrew Harris; Matthew S Johannes; R Jacob Vogelstein; Alan D Ravitz; William S Anderson; Nitish V Thakor; Nathan E Crone
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-12-12       Impact factor: 3.802

2.  Affective Brain-Computer Interfaces As Enabling Technology for Responsive Psychiatric Stimulation.

Authors:  Alik S Widge; Darin D Dougherty; Chet T Moritz
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-04-01

3.  An ERP-based BCI with peripheral stimuli: validation with ALS patients.

Authors:  Yangyang Miao; Erwei Yin; Brendan Z Allison; Yu Zhang; Yan Chen; Yi Dong; Xingyu Wang; Dewen Hu; Andrzej Chchocki; Jing Jin
Journal:  Cogn Neurodyn       Date:  2019-06-11       Impact factor: 5.082

4.  Comparison of dry and gel based electrodes for p300 brain-computer interfaces.

Authors:  Christoph Guger; Gunther Krausz; Brendan Z Allison; Guenter Edlinger
Journal:  Front Neurosci       Date:  2012-05-07       Impact factor: 4.677

5.  P300 brain computer interface: current challenges and emerging trends.

Authors:  Reza Fazel-Rezai; Brendan Z Allison; Christoph Guger; Eric W Sellers; Sonja C Kleih; Andrea Kübler
Journal:  Front Neuroeng       Date:  2012-07-17

6.  A low-cost EEG system-based hybrid brain-computer interface for humanoid robot navigation and recognition.

Authors:  Bongjae Choi; Sungho Jo
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

7.  Feasibility of a hybrid brain-computer interface for advanced functional electrical therapy.

Authors:  Andrej M Savić; Nebojša M Malešević; Mirjana B Popović
Journal:  ScientificWorldJournal       Date:  2014-01-27

8.  On the applicability of brain reading for predictive human-machine interfaces in robotics.

Authors:  Elsa Andrea Kirchner; Su Kyoung Kim; Sirko Straube; Anett Seeland; Hendrik Wöhrle; Mario Michael Krell; Marc Tabie; Manfred Fahle
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

9.  SSVEP extraction based on the similarity of background EEG.

Authors:  Zhenghua Wu
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

10.  Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials.

Authors:  Tobias Kaufmann; Andreas Herweg; Andrea Kübler
Journal:  J Neuroeng Rehabil       Date:  2014-01-16       Impact factor: 4.262

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