Skip to main content

Sensitive Mannequin for Practicing the Locomotor Apparatus Recovery Techniques

  • Conference paper
  • First Online:
Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1161))

Included in the following conference series:

  • 1814 Accesses

Abstract

This paper presents the theoretical concepts and the practical approaches involved in constructing a mannequin (dummy) used for teaching and practicing the recovery techniques specific to different injuries that can affect the human locomotive apparatus. The dummy consists of a hardware system that model the human anterior and posterior limbs. The bones, joints and muscular tissue are replicated so that the dummy movements are very similar to the actual movements of the human body. The mannequin is equipped with software-controlled movement sensors. A computer that monitors the data received from the sensors registers the parameters of the correct recovery procedures performed by a recovery specialist doctor (trainer). The students who want to learn the procedures can practice the same maneuvers on the dummy. The control system analyses the movement parameters, compares them with the correct ones produced by the teacher and immediately assists the trainees by providing an automatic feedback reflecting the correctness of the actions. This controlled environment takes the pressure off the students and also spares the injured patient of the inherent mistakes done involuntarily during learning the recovery procedures.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Ishikawa, S., Okamoto, S., et al.: Assessment of robotic patient simulators for training in manual physical therapy examination techniques. PLoS ONE 10, e0126392 (2015)

    Article  Google Scholar 

  2. Silberman, N.J., Panzarella, K.J., Melzer, B.A.: Using human simulation to prepare physical therapy students for acute care clinical practice. J. Appl. Health 42, 25–32 (2013)

    Google Scholar 

  3. Thomas, E.M., Rybski, M.F., Apke, T.L., Kegelmeyer, D.A., Kloos, A.D.: An acute interprofessional simulation experience for occupational and physical therapy students: key findings from a survey study. J. Interprof. Care 31, 317–324 (2017)

    Article  Google Scholar 

  4. Boykin, G.L.: Low fidelity simulation versus live human arms for intravenous cannulation training: a qualitative assessment. In: Duffy, V., Lightner, N. (eds.) Advances in Human Factors and Ergonomics in Healthcare. Advances in Intelligent Systems and Computing, vol. 482. Springer, Cham (2016)

    Google Scholar 

  5. Wells, J.: Development of a high fidelity human patient simulation curriculum to improve resident’s critical assessment. Ann. Behav. Sci. Med. Educ. 29, 10–13 (2014)

    Article  Google Scholar 

  6. Friedrich, U., Backhaus, J., et al.: Validation and educational impact study of the NANEP high-fidelity simulation model for open preperitoneal mesh repair of umbilical hernia (2019)

    Google Scholar 

  7. Shoemaker, M.J., Riemersma, L., Perkins, R.: Use of high fidelity human simulation to teach physical therapist decision making skills for the intensive care setting. Cardiopulm. Phys. Ther. J. 20, 13 (2009)

    Article  Google Scholar 

  8. Leocádio, R.R.V., Segundo, A.K.R., Louzada, C.F.: A sensor for spirometric feedback in ventilation maneuvers during cardiopulmonary resuscitation training. Sensors (Basel) 19, 5095 (2019)

    Article  Google Scholar 

  9. Heraganahally, S., Mehra, S.: New cost-effective pleural procedure training: manikin-based model to increase the confidence and competency in trainee medical officers. Postgrad. Med. J. 95, 245–250 (2019)

    Article  Google Scholar 

  10. Anatomical Models and Educational Supplies. http://www.mentone-educational.com.au. Accessed 04 Nov 2019

  11. Kim, Y., Jeong, H.: Virtual-reality cataract surgery simulator using haptic sensory substitution in continuous circular capsulorhexis. In: 2018 Conference Proceedings IEEE Engineering in Medicine and Biology Society, pp. 1887–1890 (2018)

    Google Scholar 

  12. Monnit. https://www.monnit.com/. Accessed 06 Nov 2019

  13. Althen Sensors and Controls. https://www.althensensors.com/. Accessed 06 Nov 2019

  14. Java. https://www.java.com/. Accessed 06 Nov 2019

  15. MariaDB. https://mariadb.org/. Accessed 06 Nov 2019

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and 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

Strilețchi, C., Cădar, I.D. (2020). Sensitive Mannequin for Practicing the Locomotor Apparatus Recovery Techniques. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_30

Download citation

Publish with us

Policies and ethics