Development of a Simulation Tool for Upper Extremity Prostheses

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. Identifier: NCT01622530
Recruitment Status : Recruiting
First Posted : June 19, 2012
Last Update Posted : March 29, 2017
Information provided by (Responsible Party):
Stephanie L. Carey, University of South Florida

Brief Summary:

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).

Condition or disease
Traumatic Amputation of Upper Limb, Level Unspecified

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
Estimated Enrollment : 30 participants
Observational Model: Case-Control
Time Perspective: Cross-Sectional
Official Title: Development of a Simulation Tool for Upper Extremity Prostheses
Study Start Date : July 2010
Estimated Primary Completion Date : December 2018
Estimated Study Completion Date : December 2018

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Limb Loss

upper limb amputees
No longer recruiting non-amputees

Primary Outcome Measures :
  1. 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.

  2. 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.

  3. 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.

  4. 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.

Secondary Outcome Measures :
  1. 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.

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 65 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
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.

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.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT01622530

Contact: Stephanie L Carey, PhD 813-974-5765
Contact: Dimitri Menychtas, PhD 813-974-9651

United States, Florida
University of South Floria RRT building Recruiting
Tampa, Florida, United States, 33612
Contact: Stephanie Carey, PhD    813-974-5765   
Contact: Derek Lura, MS, PhD (c)    813-974-9651   
Sponsors and Collaborators
University of South Florida
Principal Investigator: Rajiv Dubey, PhD University of South Florida

Additional Information:
Responsible Party: Stephanie L. Carey, Assistant Research Professor, University of South Florida Identifier: NCT01622530     History of Changes
Other Study ID Numbers: Pro00000991
09128006 ( Other Grant/Funding Number: U.S. Department of Defense (TATRC) )
First Posted: June 19, 2012    Key Record Dates
Last Update Posted: March 29, 2017
Last Verified: March 2017

Additional relevant MeSH terms:
Amputation, Traumatic
Wounds and Injuries