Error Based Learning for Restoring Gait Symmetry Post-Stroke

Completed · Not applicable

Conditions studied: Stroke

In brief

Many of the 780,000 people affected by stroke each year are left with slow, asymmetric walking patterns. The proposed project will evaluate the effectiveness of two competing motor learning approaches to restore symmetric gait for faster, more efficient, and safer walking.

Key facts

Study ID
NCT01598675
Run by
University of North Carolina, Chapel Hill
People needed
48
Starts
2012-01-01
Expected to finish
2015-12-01
Last updated by the study team
2019-02-15

Who can join

Age: 21 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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