Development of a Simulation Tool for Upper Extremity Prostheses

September 14, 2018 updated by: Stephanie L. Carey, University of South Florida

Amputees often choose not to wear prostheses due to marginal performance or may settle for a prosthesis that offers only cosmetic improvement, but lacks function. A simulation tool consisting of a robotics-based human body model (RHBM) to predict functional motions, and integrated modules for aid in prescription, training, comparative study, and determination of design parameters of upper extremity prostheses will be developed.

The main objective of collecting and analyzing human movement during several common tasks is to optimize and validate the robotics based human model. The range of motion data of subjects performing activities of daily living such as opening a door, turning a wheel, grooming, eating, bilateral lifting, as well as recreational and sport activities such as swinging a baseball bat, and golf club will be analyzed. This motion analysis data will also be used to compare data between four groups: a control group (n=10), a braced group simulating prosthesis use (n=10), a group wearing a transradial prosthesis (n=10) and a group wearing a transhumeral prosthesis (n =10).

Study Overview

Detailed Description

Data will be collected by an 8 camera Vicon© motion analysis system during one 3-4 hour testing period. Forty-five reflective markers will be attached to subjects skin and clothing via a double sided adhesive electrode collar. The cameras work on an infrared spectrum and the markers are passive reflective spheres. Relations between marker positions and anatomical / known positions on the body are used to calculate the positions of body segments.This analysis will provide information on movement strategies, compensatory motion, and socket movement associated with the selected tasks for transradial and transhumeral prostheses. Differences in the range of motion of the prostheses users and control subjects will be calculated to determine compensatory motion. The movement of the prosthesis's socket as a function of task and other factors will also be measured. Measured data will be used to minimize error in the simulation of the upper body movement. Knowledge of human motor function given in the recorded data can be extended to give insight to movement parameters when designing new prosthetics. Simulations will be optimized to the collected data using a regressive best fit method.

Study Type

Observational

Enrollment (Actual)

30

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Florida
      • Tampa, Florida, United States, 33612
        • University of South Floria RRT building

Participation Criteria

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.

Eligibility Criteria

Ages Eligible for Study

18 years to 65 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Two groups will be studied: non-amputees and upper limb amputees. The subjects will be recruited from around the community.

Description

Inclusion Criteria:

  • All subjects will be capable of providing an informed consent.
  • Normal healthy adult subjects and upper limb amputees that currently use a prosthesis to complete activities of daily living will be included.

Exclusion Criteria:

  • Subjects younger than 18 or older than 65 will be excluded.
  • Adults that are unable to consent will be excluded from the study.
  • Subjects that have health issues or injuries that would prevent them from lifting five pounds or completing simple tasks of daily living will be excluded from the study.
  • Subjects will be asked if they are able to lift five pounds, open a door and drink from a cup without pain or injury. Before study set up and recording begins, subjects will be asked to practice these tasks to insure that they are capable of completing them.
  • Pregnant women will be excluded from this study due to the changes in some physical abilities during pregnancy.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
Amputees
upper limb amputees
Non-amputees
No longer recruiting non-amputees

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Shoulder angle
Time Frame: During task completion
The shoulder angle (rotation, flexion/extension and abduction/adduction) will be measured during several tasks during one 3-4 hour testing period.
During task completion
Elbow angle
Time Frame: During task completion
The elbow angle ( flexion/extension and forearm pronation/supination) will be measured during several tasks during one 3-4 hour testing period.
During task completion
Wrist angle
Time Frame: During task completion
The wrist angle (flexion/extension and abduction/adduction) will be measured during several tasks during one 3-4 hour testing period.
During task completion
Torso angle
Time Frame: During task completion
The torso angle (rotation, forward/backward bending and right/left sideways bending) will be measured during several tasks during one 3-4 hour testing period.
During task completion

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Validation of robotics based human body model
Time Frame: After motion data analysis
The robotics based human body model will be validated by comparing the joints (shoulder, elbow, wrist, torso) angles collected from the motion analysis system while participants are completing activities of daily living with the joint angles predicted by the model. The two data sets will be compared using a root mean error calculation.
After motion data analysis

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Rajiv Dubey, PhD, University of South Florida

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

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.

Study Major Dates

Study Start (Actual)

July 1, 2010

Primary Completion (Actual)

August 1, 2017

Study Completion (Actual)

December 1, 2017

Study Registration Dates

First Submitted

June 7, 2012

First Submitted That Met QC Criteria

June 14, 2012

First Posted (Estimate)

June 19, 2012

Study Record Updates

Last Update Posted (Actual)

September 18, 2018

Last Update Submitted That Met QC Criteria

September 14, 2018

Last Verified

September 1, 2018

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Pro00000991
  • 09128006 (Other Grant/Funding Number: U.S. Department of Defense (TATRC))

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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