Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology | SpringerLink
Skip to main content
Springer Nature Link
Log in

Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology

  • Conference paper
  • First Online:
Information Systems (EMCIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 381))

Abstract

The document presents the process of creating a tool for the rehabilitation of people with lower-limb dysfunctions. The monitored metrics, hardware, communication, and software layer of the entire solution were presented in a cross-sectional way. In addition, the work analyzed the possibility of using UWB technology (tags) and vision (using markers in the form of diodes) to monitor the position of hip, knee, and ankle. The tests showed that the system has an accuracy of 1.3 cm for monitoring movement in two dimensions and 5.8 cm for a three-dimensional reflection of the position of the said joints. Low cost, combined with low invasiveness in patient movements, easy application and high accuracy of received data as well as cooperation with companies interested in proposed research allows for further investigation on the proposed system.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • 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

Similar content being viewed by others

References

  1. Sjölund, B.H.: Rehabilitation. In: Gellman, M.D., Turner, J.R. (eds.) Encyclopedia of Behavioral Medicine, pp. 1634–1638. Springer, New York (2013). https://doi.org/10.1007/978-1-4419-1005-9_924

    Chapter  Google Scholar 

  2. Embry, K.R., Villarreal, D.J., Gregg, R.D.: A unified parameterization of human gait across ambulation modes. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2179–2183 (2016). https://doi.org/10.1109/EMBC.2016.7591161

  3. Goswami, A.: A new gait parameterization technique by means of cyclogram moments: application to human slope walking. Gait Posture. 8, 15–36 (1998). https://doi.org/10.1016/S0966-6362(98)00014-9

    Article  Google Scholar 

  4. Villarreal, D.J., Poonawala, H.A., Gregg, R.D.: A robust parameterization of human gait patterns across phase-shifting perturbations. IEEE Trans. Neural Syst. Rehabil. Eng. 25, 265–278 (2017). https://doi.org/10.1109/TNSRE.2016.2569019

    Article  Google Scholar 

  5. Baker, R.: Gait analysis methods in rehabilitation. J Neuroeng Rehabil. 3, 4 (2006). https://doi.org/10.1186/1743-0003-3-4

    Article  Google Scholar 

  6. DeLisa, J.A.: Gait Analysis in the Science of Rehabilitation. DIANE Publishing (1998)

    Google Scholar 

  7. Sharif Shourijeh, M., McPhee, J.: Forward dynamic optimization of human gait simulations: a global parameterization approach. J. Comput. Nonlinear Dyn. 9 (2014). https://doi.org/10.1115/1.4026266

  8. Tao, W., Liu, T., Zheng, R., Feng, H.: Gait analysis using wearable sensors. sensors. 12, 2255–2283 (2012). https://doi.org/10.3390/s120202255

    Article  Google Scholar 

  9. Kong, K., Tomizuka, M.: A gait monitoring system based on air pressure sensors embedded in a shoe. IEEE/ASME Trans. Mechatron. 14, 358–370 (2009). https://doi.org/10.1109/TMECH.2008.2008803

    Article  Google Scholar 

  10. Niazmand, K., et al.: Freezing of gait detection in parkinson’s disease using accelerometer based smart clothes. In: 2011 IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 201–204 (2011). https://doi.org/10.1109/BioCAS.2011.6107762

  11. Michener, L.A.: Patient- and clinician-rated outcome measures for clinical decision making in rehabilitation. J. Sport Rehabil. 20, 37–45 (2011). https://doi.org/10.1123/jsr.20.1.37

    Article  Google Scholar 

  12. Duschau-Wicke, A., von Zitzewitz, J., Caprez, A., Lunenburger, L., Riener, R.: Path control: a method for patient-cooperative robot-aided gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 18, 38–48 (2010). https://doi.org/10.1109/TNSRE.2009.2033061

    Article  Google Scholar 

  13. Gedliczka, A., Pochopień, P.: Atlas miar człowieka: dane do projektowania i oceny ergonomicznej: antropometria, biomechanika, przestrzeń pracy, wymiary bezpieczeństwa. Centralny Instytut Ochrony Pracy, Warszawa (2001)

    Google Scholar 

  14. Bober, T., Zawadzki, J.: Biomechanika układu chu człowieka. Wydawnictwo BK, Wrocław (2006)

    Google Scholar 

  15. Tejszerska, D., Świtoński, E., Gzik, M., Głowacka, A.: Biomechanika narządu ruchu człowieka: praca zbiorowa. Katedra Mechaniki Stosowanej, Wydział Mechaniczno- Technologiczny, Politechnika Śląska , Wydawnictwo Naukowe Instytutu Technologii Eksploatacji - PIB, Gliwice; Radom (2011)

    Google Scholar 

  16. Goniometer Crosstalk Compensation for Knee Joint Applications. https://www.researchgate.net/publication/51872929_Goniometer_Crosstalk_Compensation_for_Knee_Joint_Applications. Accessed 16 Sept 2019

  17. Alarifi, A., et al.: Ultra wideband indoor positioning technologies: analysis and recent advances. Sensors (Basel) 16, 707 (2016)

    Article  Google Scholar 

  18. DW1000 Application Note. https://www.decawave.com/wp-content/uploads/2018/08/aps009_dw1000_under_laes_v1.4.pdf

  19. An Algebraic Solution to the Multilateration Problem (PDF Download Available). https://www.researchgate.net/publication/275027725_An_Algebraic_Solution_to_the_Multilateration_Problem. Accessed 02 Feb 2018. http://dx.doi.org/10.13140/RG.2.1.1681.3602

  20. Grzechca, D., Hanzel, K.: The positioning accuracy based on the UWB technology for an object on circular trajectory. Int. J. Electron. Telecommun. 64, 487–494 (2018)

    Google Scholar 

  21. Thompson, D.: How to Use Color Spaces to Talk About Color| First Source Worldwide, LLC. http://www.fsw.cc/color-spaces/. Accessed 30 Sept 2019

  22. Howse, J.: OpenCV Computer Vision with Python. Packt Publishing, Birmingham (2013)

    Google Scholar 

  23. Wesolkowski, S., Jernigan, M.E., Dony, R.D.: Comparison of color image edge detectors in multiple color spaces. In: Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), vol. 2, pp. 796–799. IEEE, Vancouver (2000). https://doi.org/10.1109/ICIP.2000.899829

  24. Liao, P.-S., Chen, T.-S., Chung, P.-C.: A fast algorithm for multilevel thresholding. J. Inf. Sci. Eng. 17, 713–727 (2001)

    Google Scholar 

  25. ScenSor Module DWM1000 - WSN | DecaWave. https://www.decawave.com/products/dwm1000-module. Accessed 19 Oct 2017

Download references

Acknowledgments

This work was supported by the Ministry of Science and Higher Education of Poland funding for statutory activities.

Author information

Authors and Affiliations

  1. Department of Electronics, Electrical Engineering and Microelectronics, Silesian University of Technology, Ul. Akademicka 16, 44-100, Gliwice, Poland

    Damian Grzechca, Adam Ziebinski, Krzysztof Hanzel, Sebastian Pokucinski & Kamil Klonowski

  2. Faculty of Biomedical Engineering, Department of Biosensors and Processing of Biomedical Signals, Silesian University of Technology, Ul. Roosevelt 40, 41-800, Zabrze, Poland

    Dariusz Komorowski & Slawomir Siwek

Authors
  1. Damian Grzechca
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Adam Ziebinski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dariusz Komorowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Krzysztof Hanzel
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sebastian Pokucinski
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Kamil Klonowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Slawomir Siwek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Damian Grzechca .

Editor information

Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Grzechca, D. et al. (2020). Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology. In: Themistocleous, M., Papadaki, M. (eds) Information Systems. EMCIS 2019. Lecture Notes in Business Information Processing, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-030-44322-1_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-44322-1_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44321-4

  • Online ISBN: 978-3-030-44322-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation