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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 . 2008 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Walking with WALK!

Authors: T. Fuhr; J. Quintern; R. Riener; G. Schmidt;

Walking with WALK!

Abstract

The goal of this paper is to design WALK! a cooperative, patient-driven neuroprosthetic (NP) system. In implementing sensor-supervised events to switch to subsequent medical prosthetics, NP users were able to actively control the timing of their movements. Performance and usability of WALK! was appreciated by the NP users because they were able to perceive the activities of the NP to actually support their movements. The future of NP will be based on fully implanted systems. To justify the high efforts, risks, and costs of an implantation to both NP users and health care providers, NPs have to offer true functionality that can only be achieved by a sophisticated and yet practicable control system. We believe that the WALK! control approach presented in this article can be considered a valuable contribution to the development of future neuroprosthetic systems for locomotion.

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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!
28
Average
Top 10%
Top 10%
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