Error Based Learning for Restoring Gait Symmetry Post-Stroke

Category Primary study
Registry of Trialsclinicaltrials.gov
Year 2012
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.
Epistemonikos ID: d8a350d6a358dcc691a58ce974425647af488670
First added on: May 10, 2024