Development of a Simulation Tool for Upper Extremity Prostheses
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).
Traumatic Amputation of Upper Limb, Level Unspecified
|Study Design:||Observational Model: Case Control
Time Perspective: Cross-Sectional
|Official Title:||Development of a Simulation Tool for Upper Extremity Prostheses|
- Shoulder angle [ Time Frame: During task completion ] [ Designated as safety issue: No ]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 ] [ Designated as safety issue: No ]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 ] [ Designated as safety issue: No ]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 ] [ Designated as safety issue: No ]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.
- Validation of robotics based human body model [ Time Frame: After motion data analysis ] [ Designated as safety issue: No ]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.
|Study Start Date:||July 2010|
|Estimated Study Completion Date:||December 2016|
|Estimated Primary Completion Date:||December 2015 (Final data collection date for primary outcome measure)|
upper limb amputees
No longer recruiting non-amputees
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.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01622530
|Contact: Stephanie L Carey, PhDemail@example.com|
|Contact: Dimitri Menychtas, PhDfirstname.lastname@example.org|
|United States, Florida|
|University of South Floria RRT building||Recruiting|
|Tampa, Florida, United States, 33612|
|Contact: Stephanie Carey, PhD 813-974-5765 email@example.com|
|Contact: Derek Lura, MS, PhD (c) 813-974-9651 firstname.lastname@example.org|
|Principal Investigator:||Rajiv Dubey, PhD||University of South Florida|