This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
Stroke is the third leading cause of death and the primary cause of long-term disability in the United States, affecting approximately 795,000 people each year. Hemiparesis, or unilateral weakness, is common after stroke and responsible for changes in muscle activation and movement patterns as well as declines in walking speed. It has been shown that increased walking speed directly corresponds to a higher quality of life in older adults and therefore, is often the goal of motor rehabilitation after stroke. However, there is no consensus on the best method for improving walking function after stroke and the results of post-stroke gait studies vary widely across sites and studies. Walking is one of the human's most important functions that serve survival, progress, and interaction. The force between the foot and the walking surface is very important. Although there have been many studies trying to understand this, there is a need for the development of a system that can advance research and provide new functionality. In this work, we will conduct a series of studies that attempt to analyze human gait and adaptations from different perspectives.
Model-informed Patient-specific Rehabilitation Using Robotics and Neuromuscular Modeling
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of Delaware
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.