Development of a virtual training system for master-slave hip replacement surgery

Riwei Zhang, Quanquan Liu, Shuting Cai*, Chunbao Wang, Xin Zhang, Lihong Duan, Yongtian Lu, Bo Zhang, Zhengzhi Wu, Jing Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Robotical hip replacement surgeries can benefit patient by precise operation and less complication. However, the robotic manipulation under master-slave mode requires operator to steer a handle for remote operation with high manipulative skill. This paper developed a virtual training system for the positioning of the acetabular cup in total hip replacements. The simulation system provides users with a master-slave mode of human-machine interaction training to assist them in accelerating their adaptation to the orthopedic surgery robot. The system can offer a security and realistic learning environment for addressing the inability to determine acetabular cup placement due to osteophytes. The user completes the mapping with the virtual surgical tool in the controller by controlling the haptic device during the training process. When the virtual tool reaches the positioning point at the correct angle, the message of distance and color shift of the point on the virtual panel indicates a successful operation. Five users experienced the system and the time taken to complete the trials showed that it helped to improve proficiency. Furthermore, the virtual simulation system can provide vivid and intuitive perception, improve the understanding of the remote manipulation.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages486-491
Number of pages6
ISBN (Electronic)9781665436786
DOIs
Publication statusPublished - 2021 Jul 15
Externally publishedYes
Event2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021 - Xining, China
Duration: 2021 Jul 152021 Jul 19

Publication series

Name2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021

Conference

Conference2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021
Country/TerritoryChina
CityXining
Period21/7/1521/7/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering
  • Control and Optimization

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