NCT06138977

Controlling Locomotion Over Continuously Varying Activities for Agile Powered Prosthetic Legs

University of Michigan·ClinicalTrials.gov·device·Device trialRecruiting
View on ClinicalTrials.gov
Study focus
Disease/Condition
Amputation
Drug/Device/Intervention
Powered prosthesis
Study type
Interventional
Intervention type
device
Sponsor & location
Primary sponsor
University of Michigan
Location
Ann Arbor, United States of America
Timeline & enrollment
Phase
N/A
Start date
Jan 01, 2024
End date
Jan 30, 2028
Enrollment
40 participants
Primary outcome

Joint work,Tuning time,Endurance test time

Summary

The overall goal of this project is to model human joint biomechanics over
 continuously-varying locomotion to enable adaptive control of powered above-knee prostheses.
 The central hypothesis of this project is that variable joint impedance can be parameterized
 by a continuous model based on measurable quantities called phase and task variables. This
 project will use machine learning to identify variable impedance functions from able-bodied
 data including joint perturbation responses across the phase/task space to bias the solution
 toward biological values.

ICD-10 classifications
Amputation of limb(s)Traumatic amputation of both feetTraumatic amputation of upper and lower limbs, any combination [any level]Traumatic amputations involving other combinations of body regionsTraumatic amputation of lower leg
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06138977
Type
Device Trial
About this record

Access comprehensive clinical trial information for NCT06138977 through Pure Global AI's free database. This phase not specified trial is sponsored by University of Michigan and is currently Recruiting. The study focuses on Amputation. Target enrollment is 40 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.