Experimental Evaluation of a 3-Armed 6-DOF Parallel Robot for Femur Fracture Surgery

  • Fayez Alruwaili
  • , Marzieh S. Saeedi-Hosseiny
  • , Michael Clancy
  • , Sean McMillan
  • , Iulian I. Iordachita
  • , Mohammad H. Abedin-Nasab

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper presents the experimental position and force testing of a 3-armed 6-DOF Parallel Robot, Robossis, that is specifically designed for the application of long-bone femur fracture surgery. Current surgical techniques require a significant amount of time and effort to restore the fractured femur fragments' length, alignment and rotation. To address these issues, the Robossis system will facilitate the femur fracture surgical procedure and oppose the large traction forces/torques of the muscle groups surrounding the femur. As such, Robossis would subsequently improve patient outcomes by eliminating intraoperative injuries, reducing radiation exposure from X-rays during surgery and decreasing the likelihood of follow-up operations. Specifically, in this paper, we study the accuracy of the Robossis system while moving in the operational workspace under free and simulated traction loads of (∼50-1100N). Experimental testing in this study demonstrates that Robossis can reach the most extreme points in the workspace, as defined by the theoretical workspace, while maintaining minimal deviation from those points with an average deviation of 0.324mm. Furthermore, the force testing experiment shows that Robossis can counteract loads that are clinically relevant to restoring the fractured femur fragments' length, alignment and rotation. In addition, we study the accuracy of Robossis motion while coupled with the master controller Sigma 7. The results show that Robossis can follow the desired trajectory in real-time with an average error of less than 1mm. To conclude, these results further establish the ability of the Robossis system to facilitate the femur fracture surgical procedure and eliminate limitations faced with the current surgical techniques.

Original languageEnglish (US)
Article number2241009
JournalJournal of Medical Robotics Research
Volume7
Issue number4
DOIs
StatePublished - Dec 1 2022

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Artificial Intelligence
  • Applied Mathematics

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