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Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
Published on: August 15, 2016
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Replicating dynamic humerus motion using an industrial robot.
Klevis Aliaj1,2, Gentry M Feeney1,2, Balakumar Sundaralingam3
1Department of Orthopaedics, University of Utah, Salt Lake City, Utah, United States of America.
Plos One
|November 9, 2020
Summary
Researchers developed a robotic system to replicate complex arm movements for testing prosthetics. This technology accurately reproduces dynamic, multi-directional forces on the bone-implant interface, crucial for improving prosthetic safety and function in amputees.
Area of Science:
- Biomechanics
- Orthopaedic Engineering
- Robotics
Background:
- Transhumeral osseointegrated prostheses offer improved function for upper-extremity amputees but carry a risk of bone fracture due to direct skeletal attachment.
- Current mechanical testing of bone-implant interfaces often uses simplified loading conditions that do not reflect the complex, dynamic, multiaxial loading experienced by bone in vivo.
- Understanding bone fracture mechanics under realistic loading is critical for improving the safety and longevity of osseointegrated prostheses.
Purpose of the Study:
- To robotically replicate dynamic multiaxial loading conditions of the humerus during advanced activities of daily living.
- To create a validated computational pipeline for generating robotic motion programs from motion capture data.
- To establish a library of robotically replicated human motions for biomechanical and orthopaedic investigations of prosthetic-implant interactions.
Main Methods:
- Utilized skin-marker motion capture data from activities like jumping jacks, jogging, and jug lifts.
- Developed and validated a computational pipeline to translate motion capture trajectories into industrial robot motion programs.
- Employed an industrial robot and optical tracking system to replicate and verify humeral kinematics, achieving over 95% accuracy.
Main Results:
- Successfully robotically replicated over 95% of recorded human motion trials, within the error margins of the motion capture system.
- Demonstrated the capability to reproduce the inertial forces and moments associated with high-speed, multiaxial activities.
- Established a functional computational pipeline and a library of replicated motions for future research.
Conclusions:
- The developed robotic system and computational pipeline can accurately replicate complex human motion for biomechanical testing.
- This methodology enables realistic mechanical characterization of the bone-implant interface under dynamic, multiaxial loading conditions.
- The established motion library and pipeline will advance research into the skeletal interaction of prosthetic devices and improve implant design.

