Determining the Marker Configuration and Modeling Technique to Optimize the Biomechanical Analysis of Running-Specific Prostheses

Abstract

The purpose of this study is to develop and validate a model with optimal set-up of reflective markers, producing minimal errors in inverse dynamics calculations. The Statement of Work for this project indicated two specific aims. Specific Aim 1 proposed to develop and validate a model with unique optimal marker placements for specific running prosthesis designs. The proposed timeline indicated that preparation for the experimental setting and formulation of the program for data analysis would occur during Months 1-8. These milestones were reached on schedule. During Months 8-16, we proposed to complete MTS testing, begin validating the general model, and begin analyzing the MTS data to determine the final marker model for each running-specific prosthesis. We are currently in Month 13 of the project since its formal approval on August 1, 2009, and we are on schedule of the proposed timeline for these milestones. The general analysis model is in the process of validation and raw experimental data has begun being analyzed for the final marker model for each prosthesis design. Upon completion of Specific Aim 1 goals, we will complete goals set for Specific Aim 2, to determine the resultant optimal marker placement for all tested running prosthetic designs.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2010
Accession Number
ADA540957

Entities

People

  • Adam Hsieh
  • Alison Linberg
  • Erik Wolf
  • Jae K. Shim

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Amputees
  • Biomedical Research
  • Computer Programming
  • Data Analysis
  • Dynamics
  • Experimental Data
  • Load Cells
  • Lower Extremity
  • Lower Limb Amputations
  • Lower Limb Prostheses
  • Programming Languages
  • Prostheses And Implants
  • Prosthesis Fitting
  • Prosthetics
  • Surgical Amputations
  • Universities
  • Validation

Readers

  • Oncology
  • Rehabilitation and Prosthetic Care for Military Service Members and Veterans with Limb Loss or Disability.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference