Noninvasive neuroimaging enhances continuous neural tracking for robotic device control-Reference-Cited by-同舟云学术

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Noninvasive neuroimaging enhances continuous neural tracking for robotic device control

Published:2019-06-26 Issue:31 Volume:4 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Edelman B. J.¹^ORCID,Meng J.²^ORCID,Suma D.²^ORCID,Zurn C.¹^ORCID,Nagarajan E.³^ORCID,Baxter B. S.¹,Cline C. C.¹^ORCID,He B.²^ORCID

Affiliation:

1. Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.

2. Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

3. Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.

Abstract

Noninvasive neuroimaging and increased user engagement improve EEG-based neural decoding and facilitate real-time 2D robotic device control.

Funder

National Science Foundation

National Institutes of Health

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference49 articles.

1. High performance communication by people with paralysis using an intracortical brain-computer interface;Pandarinath C.;eLife,2017

2. Fully implanted brain–computer interface in a locked-in patient with ALS;Vansteensel M. J.;N. Engl. J. Med.,2016

3. Restoring cortical control of functional movement in a human with quadriplegia;Bouton C. E.;Nature,2016

4. Hybrid EEG/EOG-based brain-neural hand exoskeleton resotres fully independent living acitivies after quadriplegie;Soekadar S. R.;Sci. Robot.,2016

5. Brain–computer interface–based communication in the completely locked-in State;Chaudhary U.;PLOS Biol.,2017

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