Clinical Trial: Development of a Simulation Tool for Upper Extremity Prostheses

Study Status: Recruiting
Recruit Status: Recruiting
Study Type: Observational

Official Title: Development of a Simulation Tool for Upper Extremity Prostheses

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).

Detailed Summary: 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.
Sponsor: University of South Florida

Current Primary Outcome:

• 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.
• 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.
• 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.
• 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.

Original Primary Outcome: Same as current

Current Secondary Outcome: Validation of robotics based human body model [ Time Frame: After motion data analysis ]

Original Secondary Outcome: Same as current

Information By: University of South Florida

Dates:
Date Received: June 7, 2012
Date Started: July 2010
Date Completion: December 2018
Last Updated: March 28, 2017
Last Verified: March 2017