Adaptive Hip Exoskeleton for Stroke Gait Enhancement

N/A Completed NCT05536739

Summary

This work will focus on new algorithms for robotic exoskeletons and testing these in human subject tests. Individuals who have previously had a stroke will walk while wearing a robotic exoskeleton on a specialized treadmill as well as during other movement tasks (e.g. over ground, stairs, ramps). The study will compare the performance of the advanced algorithm with not using the device to determine the clinical benefit.

Temporal Convolutional Network (TCN) Model Performance (Joint Moment Accuracy)

5 Days · Coefficient of determination

Metabolic Cost for Level Ground Walking

5 days · Watts / Kilogram

Biological Joint Work - Level Walking

5 days · Watts per Kilogram

Open in BENITIONS View on ClinicalTrials.gov

Other trials for this condition

• Closed-loop Deep Brain Stimulation to Treat Refractory Neuropathic Pain — Prasad Shirvalkar, MD, PhD
• Women's Health Initiative Strong and Healthy Study — Fred Hutchinson Cancer Center
• Edaravone-Sodium Ozagrel Comparative Post-Marketing Study on Acute Ischemic Stroke — Shionogi
• Zambia Stroke Unit Study — Johns Hopkins University
• Tracking Post-stroke Walking Improvements From the Clinic Into the Home — Western University of Health Sciences
• Improving How Older Adults at Risk for Cardiovascular Outcomes Are Selected for Care Coord — Weill Medical College of Cornell University

All trials