Personalized Mobility Interventions Using Smart Sensor Resources for Lower-Limb Prosthesis Users

Running, not enrolling · Not applicable

Conditions studied: Amputation

In brief

The goal of this research is to analyze data from smartphone-based and wearable sensors, using advanced machine-learning and data-mining techniques, and to combine this information with performance-based measures, participant-reported measures, and structured interviews to create a clinical toolbox to (i) identify individuals who exhibit reduced prosthesis use (compared to expected usage levels based on K-level designation and/or participant goals of community mobility and social interaction), (ii) identify prosthetic/physical and psychological factors that limit prosthesis use, and (iii) determine the effect of targeted interventions to increase prosthesis use and facilitate achievement of participant goals. Objective sensor-based measurement of home and community activities will allow for the correlation of real-world function to in-clinic assessments and to monitor changes resulting from rehabilitation interventions in real time. Machine-learning and data mining techniques will be used to identify a subset of measures from this toolbox that sensitively and accurately reflect real-world function, enabling clinicians to predict and assess activity and provide effective interventions to optimize prosthesis use. The goal of this project, to improve overall performance with respect to activities of daily living and other real-world activities, thus addresses the Fiscal Year 2017 (FY17) Orthotics and Prosthetics Outcomes Research Program (OPORP) Focus Area of Orthotic or Prosthetic Device Function.

Key facts

Study ID
NCT03930199
Run by
Shirley Ryan AbilityLab
People needed
66
Starts
2020-05-01
Expected to finish
2026-12-31
Last updated by the study team
2026-01-07

Who can join

Age: 18 and older, up to 89. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.