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Mobile Networks and Applications

, Volume 23, Issue 6, pp 1645–1654 | Cite as

Telesurgery Robot Based on 5G Tactile Internet

  • Yiming Miao
  • Yingying Jiang
  • Limei Peng
  • M. Shamim Hossain
  • Ghulam Muhammad
Article
  • 126 Downloads

Abstract

With the development of modern medical technology, the emerging 5G, tactile Internet, robot, and artificial intelligence technology have enabled the interdisciplinary innovations facilitating the development of the surgical treatment technology, and enhancing the treatment efficiency of various diseases. In the medical field, the introduction of robot technology has contributed to the telesurgery. Moreover, the telesurgery robot allocated with the 5G tactile Internet as infrastructure, and AI technology as core competitiveness can promote the audio, visual and tactile perceptions of a doctor during the surgery process and solve the problems of resource scheduling; accordingly, it has become the research hotspot. Therefore, this paper introduces a telesurgery robot based on the 5G tactile Internet and artificial intelligence technology. The architecture, composition, characteristics, and advantages of telesurgery are explained in detail from two aspects, the intelligent tactile feedback, and human-machine interaction data. On this basis, a human-machine interaction optimization scheme during the telesurgery process is presented from four aspects, i.e., Edge-Cloud Integration, network slice, and intelligent edge-cloud. Finally, this paper discusses the open issues of the presented telesurgery system regarding the ultra-high reliability, AI-enabled surgery robot, communication, and security, to provide the reference for the promotion of the telesurgery robot performance.

Keywords

5G tactile Internet Artificial intelligence Human-machine interaction Robot Telesurgery 

Notes

Acknowledgements

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia for funding this work through the research group project no. RG-1436-023.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina
  2. 2.School of Computer Science and EngineeringKyungpook National UniversityDaeguSouth Korea
  3. 3.Department of Software Engineering, College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia
  4. 4.Department of Computer Engineering, College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

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