Skip to main content

Study of the Force-Moment Sensing System of a Manipulative Robot in Contact Situations with Tenzoalgometry of Soft Biological Tissues

  • Conference paper
  • First Online:
Advances in Artificial Systems for Medicine and Education IV (AIMEE 2020)

Abstract

The active development of robotics, which is taking place today within the framework of the new economic paradigm “4th technological revolution”, opens up new opportunities in many areas, including medicine. One of the topical directions for the health care system of economically developed countries is the improvement and clinical application of robotic manipulation mechanotherapy complexes. The Russian medical manipulation robot presented in the article, previously developed and patented, has not only a priority for domestic medicine, but also raises unresolved issues of intelligent situational behavior of the robot, intelligent control of complex dynamic objects, the operator-robot interface, its safety for the patient and the doctor. The article provides models for the development of software for a robotic manipulative mechanotherapy complex based on technologies for providing a biological feedback. Consideration of the development of original parameters for assessing the biomechanical characteristics of soft tissues. An algorithm for tuning the diagnostic unit of a manipulation robot for measuring the biomechanical characteristics of soft tissues is shown. The description and results of the development of a software data processing system using a diagnostic unit of a manipulation robot are given.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Eremushkin, M.A., Kolyshenkov, V.A., Arkhipov, M.V., Vzhesnevsky, E.A.: Patent RF No. 2695020. Tensoalgometric block of the robotic manipulator control system. Patent of Russia No. 2695020, 13 Aug 2018

    Google Scholar 

  2. Arkhipov, M., Leskov, A., Golovin, V., Gercik, Y., Kocherevskaya, L.: Prospects of robotics development for restorative medicine. In: Proceedings of the 25th Conference on Robotics in Alpe-Adria-Danube Region, p. 499–506. Springer, Heidelberg (2016)

    Google Scholar 

  3. Arkhipov, M., Orlov, I., Golovin, V., Kocherevskaya, L.: Bio-mechatronic modules for robotic massage. In: Proceedings of the 25th Conference on Robotics in Italy (RAAD16), pp. 499–506. Springer, Heidelberg (2016)

    Google Scholar 

  4. Arkhipov, M.V., Vzhesnevsky, E.A., Eremushkin, M.A., Samorukov, E.A., Kocherevskaya, L.B.: Tensometry of soft biological tissues with manipulation robot. In: IOP Conference Series: Materials Science and Engineering, vol. 489, p. 012051 (2019). https://doi.org/10.1088/1757-899x/489/1/012051 /[Элeктpoнный pecypc]

  5. Gerasimenko, M.Y., Eremushkin, M.A., Arkhipov, M.V., Kolyagin, Y., Antonovich, I.V.: Prospects for the development of robotic manipulation mechanotherapy complexes. Physiotherapy, Balneology Rehabilitation 16(2), 65–69 (2017)

    Article  Google Scholar 

  6. Golovin, V., Zhuravlev, V., Arkhipov, M.: Robotics in Restorative Medicine. LAPLAMBERT Academic Publishing, GmbH & Co. KG, Saarbrücken, p. 270 (2012)

    Google Scholar 

  7. Golovin, V., Samorukov, A., Arkhipov, M., Kocherevskaya, L.: Robotic restorative massage to increase working capacity. Altern. Integr. Med. 7(2), 209–215 (2018)

    Google Scholar 

  8. Golovin, V.F., Arkhipov, M.V., Kocherevskaya, L.B.:Robotics to improve the combat effectiveness of military personnel. Sat. In: Abstracts of the International Scientific and Technical Conference Extreme Robotics and Conversion Technologies, pp. 54–57 (2018)

    Google Scholar 

  9. Golovin, V.F., Samorukov, A.E., Arkhipov, M.V., Zhuravlev, V.V.: Review of the state of robotics in restorative medicine. Mechatron. Autom. Manage. 8, 42–50 (2011)

    Google Scholar 

  10. Timofeev, G.: Methods of apparatus research of human skin. Cosmet. Med. (4) (2005)

    Google Scholar 

  11. Khmyachin, D.V., Khmyachina, E.A., Archipov, M.V., Shumeiko, G.A., Panov, U.P., Ippolitov, S.A.: Distributed control system for mobile medical complexes. In: IOP Conference Series: Materials Science and Engineering, vol. 489, p. 012047 (2019). https://doi.org/10.1088/1757-899x/489/1/012047 [Элeктpoнный pecypc]

  12. Eremushkin, M.A.: Manual methods of treatment in a complex of rehabilitation measures for pathology of the musculoskeletal system: abstract of thesis. Doctors of medical sciences: 14.00.22, 14.00.51/Center Scientific Research Institute of Traumatology and Orthopedics, N.N. Priorova. - Moscow (2006)

    Google Scholar 

  13. Korolkova, T.N., Soghomonyan, A.V.: Methods of functional diagnostics of the skin to assess the effectiveness of treatment of purulent lipodystrophy. Russ. J. Skin Venereal Dis. (6) (2015)

    Google Scholar 

  14. Vasilenko, A.M., Zhukolenko, L.V., Popkova, A.M.: Tensoalgometry (clinical use). Russ. Med. J. (1–S), 51–56 (1998)

    Google Scholar 

  15. Method of massage and device for its implementation, R. Patent No. 2145833, A 61 H 7/00 (1998)

    Google Scholar 

  16. Bio-controlled robot, RU 105588, A61N 15/00 (2011)

    Google Scholar 

  17. Rather, N.N., Patel, C.O., Khan, S.A.: Using deep learning towards biomedical knowledge discovery. Int. J. Math. Sci. Comput. 2, 1–10 (2017). Published Online April 2017 in MECS , (http://www.mecs-press.net), https://doi.org/10.5815/ijmsc.2017.02.01

  18. Uçar, M.K., Bozkurt, M.R., Bozkurt, F.: Sympathetic skin response: a new biological signal that can be used in diagnosis of fibromyalgia instead of beck depression inventory. Int. J. Image, Graph. Sig. Process. 7, 32–40 (2016). Published Online July 2016 in MECS, (http://www.mecs-press.org/), https://doi.org/10.5815/ijigsp.2016.07.04

  19. Uçar, M.K., Bozkurt, M.R., Bozkurt, F.: Determination of new bio signal and tests alternative to verbal pain scale for diagnosing fibromyalgia syndrome. Int. J. Image Graph. Sig. Process. 3, 1–8 (2016). Published Online March 2016 in MECS, (http://www.mecs-press.org/) https://doi.org/10.5815/ijigsp.2016.03.01

  20. Sridevi, S., Vijayakuymar, V.R., Anuja, R.: A survey on various compression methods for medical images. Inter. J. Intell. Syst. Appl. 3, 13–19 (2012). Published Online April 2012 in MECS (http://www.mecs-press.org/) https://doi.org/10.5815/ijisa.2012.03.02

  21. Mohammed, R.H., Elnaghi, B.E., Bendary, F.A., Elserfi, K.: Trajectory tracking control and robustness analysis of a robotic manipulator using advanced control techniques. Int. J. Eng. Manuf. 6, 42–54 (2018). Published Online November 2018

    Google Scholar 

Download references

Acknowledgements

The scientific work described in this article was implemented on the meringue of the National Medical Research Center for Rehabilitation and Balneology and Moscow Polytechnic University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maksim V. Arkhipov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Arkhipov, M.V., Eremushkin, M.A., Khmyachina, E.A. (2021). Study of the Force-Moment Sensing System of a Manipulative Robot in Contact Situations with Tenzoalgometry of Soft Biological Tissues. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education IV. AIMEE 2020. Advances in Intelligent Systems and Computing, vol 1315. Springer, Cham. https://doi.org/10.1007/978-3-030-67133-4_15

Download citation

Publish with us

Policies and ethics