Virtual Rehabilitation System Using Electromyographic Sensors for Strengthening Upper Extremities

  • Z. Andrea Sánchez
  • T. Santiago Alvarez
  • F. Roberto Segura
  • C. Tomás Núñez
  • P. Urrutia-Urrutia
  • L. Franklin Salazar
  • S. Altamirano
  • J. BueleEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 152)


This work presents a virtual system for the rehabilitation of the upper extremities, using the MYO Smart Band device for the acquisition of electromyographic signals produced by the user. Processing and managing of these signals are done through the SDK provided by the manufacturer of the bracelet which is compatible with the MATLAB software. The virtual environment is developed in the Unity 3D graphics engine, in which three-dimensional objects that were previously designed in the 3ds Max software are implemented. The application presents the user with a virtual scenario set in a natural landscape, in which there is a van that must be driven on a certain path (the complexity is increasing). The videogame is of low complexity, since it seeks to avoid situations of stress while the rehabilitation process takes place. Each task in the application is associated with a hand and forearm movement of the user; it means the patient is given an alternative tool that allows him/her to perform exercises that improve his/her extremity active mobility, mitigating the routine effects of a conventional session. To validate this proposal, it is tested by five retired military personnel in passive state, to whom the using task ease (SEQ) usability test is applied. The result is (58,8 ± 0,27), which shows that this interactive interface has a good acceptance when being in the range between 40 and 65.


Rehabilitation Virtual reality Upper extremities Electromyographic sensor 



To the authorities of Universidad Técnica de Ambato (UTA), Dirección de Investigación y Desarrollo (DIDE), Instituto Tecnológico Superior Guayaquil Ambato and Celec EP, for supporting this work and future research.


  1. 1.
    Drakos, N.D., et al.: In good conscience: developing and sustaining military combat trauma expertise. J. Am. Coll. Surg. 227(2), 293–294 (2018)CrossRefGoogle Scholar
  2. 2.
    Russell, C.A., Gibbons, S.W., Abraham, P.A., Howe, E.R., Deuster, P., Russell, D.W.: Narrative approach in understanding the drivers for resilience of military combat medics. J. R. Army Med. Corps. 164(3), 155–159 (2018)CrossRefGoogle Scholar
  3. 3.
    Wells, T.S., Seelig, A.D., Ryan, M.A., Jones, J.M., Hooper, T.I., Jacobson, I.G., Boyko, E.J.: Hearing loss associated with US military combat deployment. Noise Health 17(74), 34–42 (2015)CrossRefGoogle Scholar
  4. 4.
    Writer, B.W., Meyer, E.G., Schillerstrom, J.E.: Prazosin for military combat-related PTSD nightmares: a critical review. J. Neuropsychiatry Clin. Neurosci. 26(1), 24–33 (2014)CrossRefGoogle Scholar
  5. 5.
    Stinner, D.J.: Improving outcomes following extremity trauma: the need for a multidisciplinary approach. Mil. Med. 181(4), 26–29 (2016)CrossRefGoogle Scholar
  6. 6.
    Wilken, J.M., Roy, C.W., Shaffer, S.W., Patzkowski, J.C., Blanck, R.V., Owens, J.G., Hsu, J.R.: Physical performance limitations after severe lower extremity trauma in military service members. J. Orthop. Trauma 32(4), 183–189 (2018)CrossRefGoogle Scholar
  7. 7.
    Galarza, E.E., et al.: Virtual reality system for children lower limb strengthening with the use of electromyographic sensors. In: International Symposium on Visual Computing, ISVC 2018, pp. 215–225. Springer (2018)Google Scholar
  8. 8.
    Gelman, D., Eisenkraft, A., Chanishvili, N., Nachman, D., Glazer, S.C., Hazan, R.: The history and promising future of phage therapy in the military service. J. Trauma Acute Care Surg. 85(1), 18–26 (2018)CrossRefGoogle Scholar
  9. 9.
    Cools, A., Whiteley, R., Kaczmarek, P.K.: Rehabilitation of upper extremity injuries in the handball player. In: Handball Sports Medicine, pp. 433–459. Springer, Germany (2018)CrossRefGoogle Scholar
  10. 10.
    Quevedo, W.X., et al.: Assistance system for rehabilitation and valuation of motor skills. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, AVR 2017, pp. 166–174. Springer (2017)Google Scholar
  11. 11.
    Achanccaray, D., Acuña, K., Carranza, E., Andreu-Perez, J.: A virtual reality and brain computer interface system for upper limb rehabilitation of post stroke patients. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–5. IEEE (2017)Google Scholar
  12. 12.
    Levin, M.F., Weiss, P.L., Keshner, E.A.: Emergence of virtual reality as a tool for upper limb rehabilitation: incorporation of motor control and motor learning principles. Phys. Ther. 95(3), 415–425 (2015)CrossRefGoogle Scholar
  13. 13.
    Liu, L., Chen, X., Lu, Z., Cao, S., Wu, D., Zhang, X.: Development of an EMG-ACC-based upper limb rehabilitation training system. IEEE Trans. Neural Syst. Rehabil. Eng. 25(3), 244–253 (2017)CrossRefGoogle Scholar
  14. 14.
    López, V.M., Zambrano, P.A., Pilatasig, M., Silva, F.M.: Interactive system using myoelectric muscle sensors for the strengthening upper limbs in children. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, AVR 2018, pp. 18–29. Springer (2018)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Universidad Técnica de AmbatoAmbatoEcuador
  2. 2.Instituto Tecnológico Superior Guayaquil - AmbatoAmbatoEcuador
  3. 3.CELEC EPBañosEcuador

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