Personalizing MPK Prescription for Individuals with Transfemoral Amputation
Abstract
In current prosthetic clinical practice, no Clinical Practice Guidelines exist to aid in the prescription of microprocessor prosthetic knees (MPKs) for individuals with amputation. The long term goal of this study is to create a prescription algorithm for MPKs such that clinicians can predict success in a single MPK for a unique patient. Eight participants have been recruited and consented to participate in the study. Four participants have completed week-long take home acclimation periods with the three commercially available MPKs, and one subject is in progress and has completed the take home period for one MPK. One subject withdrew from the study prior to being fit with the first MPK. Subjects have completed various performance-based tasks while full body biomechanics have been collected along with patient reported outcomes. Differences in some performance tasks including the beam walking task (a measure of balance) and speed over level ground terrain appear to show differences for some subjects between knees. Additional subjects are planned for collection over the remaining study period to aid in generation of the final prescription algorithm.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2022
- Accession Number
- AD1190555
Entities
People
- Aaron Young
- Jason Zhou
- Kinsey Herrin
- Sujay Kestur
Organizations
- Georgia Tech