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Sensor Fusion Algorithm to Improve Accuracy of Robotic Superposition Testing Using Six-Degree-of-Freedom Position

Callan M Gillespie1,2, Lesley Arant3,4, Joshua Roth5

  • 1Department of Biomedical Engineering and Lerner Research Institute, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195; Department of Applied Biomedical Engineering, Cleveland State University, 2111 E 96th Street, Cleveland, OH 44106.

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Summary
This summary is machine-generated.

This study introduces a new Sensor Fusion method to improve joint biomechanics testing. It significantly reduces errors in measuring ligament tension, enhancing the accuracy of robotic test systems.

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Area of Science:

  • Biomechanics
  • Robotics
  • Orthopedics

Background:

  • The principle of superposition is widely used to quantify ligament contributions to joint biomechanics.
  • This method relies on robotic systems to replicate joint poses before and after ligament transection.
  • System compliance in robotic test systems can lead to inaccuracies in determining ligament tension.

Purpose of the Study:

  • To describe a novel testing methodology incorporating 6-DOF position sensors to correct for robotic system compliance.
  • To demonstrate the effectiveness of this Sensor Fusion methodology in reducing uncertainty in in-situ force measurements.
  • To improve the accuracy of quantifying ligament contributions to joint biomechanics.

Main Methods:

  • A Sensor Fusion algorithm was developed to integrate 6-DOF position sensor data with robot pose measurements.
  • This algorithm compensates for system compliance by refining robot motion control.
  • The methodology was tested using a surrogate knee joint under specific loading conditions.

Main Results:

  • The traditional control method underestimated ligament tension by 23% due to system compliance.
  • The Sensor Fusion control method reduced this underestimation error to 3%.
  • This demonstrates a significant improvement in the accuracy of in-situ force determination.

Conclusions:

  • Sensor Fusion offers a promising approach to minimize errors in superposition testing caused by robotic system compliance.
  • Accurate in-situ force measurements are crucial for understanding joint biomechanics and ligament function.
  • This methodology enhances the reliability of robotic testing for joint and ligament analysis.