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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Engineering in ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Engineering in Medicine and Biology Magazine
Article . 2006 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Sensors for brain-computer interfaces

Authors: Leigh R, Hochberg; John P, Donoghue;

Sensors for brain-computer interfaces

Abstract

Brain-computer interfaces (BCIs) hold the promise to restore mobility and independence to persons with paralysis. In spinal cord injury, brainstem stroke, and a host of neuromuscular disorders, the intact brain is "disconnected" from its intact target (such as a limb or the facial musculature), preventing mobility and - in locked-in syndrome and severe amyotrophic lateral sclerosis (ALS) - precluding even meaningful verbal communication. If it becomes possible to discern the movement intention of someone with paralysis - reliably, safely, and in real time - it would then be possible to provide not only a robust new method of communication but eventually the ability to gain control over a prosthetic limb or, by connecting to additional technologies, one's own limbs. In this review, we survey several methods for revealing neural activity in the human brain and their potential for re-enabling mobility in persons with severe paralysis

Related Organizations
Keywords

Brain Mapping, User-Computer Interface, Therapy, Computer-Assisted, Transducers, Brain, Humans, Biosensing Techniques, Equipment Design, Neuromuscular Diseases, Evoked Potentials

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
86
Top 10%
Top 1%
Top 10%
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