Skip to main content
SpringerLink
Log in

A Wireless, Modular and Wearable System for the Recognition and Assessment of Foot Drop Pathology

  • Conference paper
  • First Online:
Applied Computer Sciences in Engineering (WEA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1052))

Included in the following conference series:

  • 1259 Accesses

Abstract

In this paper, a portable, low cost and non-invasive real-time signals processing prototype was designed and developed for the diagnosis and continuous monitoring of the physiopathological condition of foot drop. The behavior of the electrical activity of the Tibialis Anterior (TA) and Peroneus Longus (PL) muscles through bipolar surface electromyography (sEMG), together with the angular measurement of the joint complex of the ankle-foot in the sagittal and frontal planes using an Inertial Measurement Unit (IMU) sensor system, are monitored from a mobile interface. This prototype consists of five modules capable of performing functions of sensing, signal processing, data storage, and transmission. The Central Processing Unit (CPU) process the sEMG signals from the two-channel amplifier with 10 bits of resolution at a sampling frequency of 1ksps; the IMU Sensor System operates at a sample rate of 1ksps with 16 bits of resolution. Both sEMG and angular displacement data registers are transmitted wirelessly via Bluetooth communication protocol to a mobile interface designed for smartphones/tablets and PC. Data verification was made using a commercial electromyograph and a goniometer. The observations regarding the health status of the patient on a statistical, mathematical analysis of the collected data, exhibiting a mean-square-error of 5,27% for the sEMG as well as an average error of \(\le \!\!\pm 2^{\circ }\) in the angular displacement measurements. The prototype designed and developed establishes a new perspective in the recognition and elaboration of profiles of physiopathological disabilities in humans, development of clinical applications, and databases for future studies of the disease.

This work was supported by a grant from the Faculty of Engineering and Electronic Engineering Program of Universidad El Bosque, with the research project number PFI-2017-EL-011.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Notes

  1. 1.

    Ez Read Jamar Goniometer-Manual medical goniometer.

  2. 2.

    ADInstruments Powerlab recording unit, Teaching Series-26T model.

References

  1. Borbajo, T.J., Casil, R., Cruz, J.V., Peñaflor, T., Musngi, M.M.: Electromyography controlled functional electrical stimulation data acquisition system for leg rehabilitation. In: DLSU Research Congress 2017, p. 5 (2017)

    Google Scholar 

  2. Koydemir, H.C., Ozcan, A.: Wearable and implantable sensors for biomedical applications. Ann. Rev. Anal. Chem. 11(1) (2018). https://doi.org/10.1146/annurev-anchem-061417-125956

    Article  Google Scholar 

  3. Aldemir, C., Duygun, F.: New and unusual causes of foot drop. Med. Sci. Int. Med. J. 6(3), 491–495 (2017). https://doi.org/10.5455/medscience.2017.06.8602

  4. Mashhadany, Y.I.A., Rahim, N.A.: Real-time controller for foot-drop correction by using surface electromyography sensor. Proc. Inst. Mech. Eng. 227(4), 373–383 (2013)

    Article  Google Scholar 

  5. Masdar, A., Ibrahim, B.S., Hanafi, D., Jamil, M.M., Rahman, K.A.: Knee joint angle measurement system using gyroscope and flex-sensors for rehabilitation. In: BMEiCON 2013–6th Biomedical Engineering International Conference, pp. 5–9, October 2013

    Google Scholar 

  6. Stegeman, D., Hermens, H.: Standards for surface electromyography: the European project surface EMG for non-invasive assessment of muscles (SENIAM). Enschede Roessingh Res. Dev. 108–112 (2007)

    Google Scholar 

  7. Neblett, R.: Surface Electromyographic (SEMG) biofeedback for chronic low back pain. Healthcare 4(2), 27 (2016)

    Article  Google Scholar 

  8. Merletti, R., Rainoldi, A., Farina, D.: Surface electromyography for noninvasive characterization of muscle. Electromyographie superficielle pour une caracterisation mesuree du muscle. Exer. Sport Sci. Rev. 29(1), 20–25 (2001)

    Article  Google Scholar 

  9. Massó, N., Rey, F., Romero, D., Gual, G., Costa, L., Germán, A.: Surface electromyography applications in the sport. Apunts Med. Esport. 45(165), 121–130 (2010)

    Google Scholar 

  10. Kutilek, P., Hybl, J., Kauler, J., Viteckova, S.: Prosthetic 6-DOF arm controlled by EMG signals and multi-sensor system. In: Proceedings of 15th International Conference MECHATRONIKA, pp. 1–5, March 2017

    Google Scholar 

  11. Day, S.: Important Factors in Surface EMG Measurement. Bortec Biomedical Ltd., pp. 1–17 (2002)

    Google Scholar 

  12. Melaku, A., Kumar, D.K., Bradley, A.: Influence of inter-electrode distance on EMG, pp. 1082–1085, May 2005

    Google Scholar 

  13. Ghapanchizadeh, H., Ahmad, S.A., Ishak, A.J.: Effect of surface electromyography electrode position during wrist extension and flexion based on time and frequency domain analyses. Int. J. Cont. Theo. Appl. 9(5), 2643–2650 (2016)

    Google Scholar 

  14. Zhang, Z., Dong, Y., Ni, F., Jin, M., Liu, H.: A Method for Measurement of Absolute Angular Position and Application in a Novel Electromagnetic Encoder System (2015)

    Google Scholar 

  15. Aneri, M., Rutvij, H.: A review on applications of ambient assisted living. Int. J. Comput. Appl. 176(8), 1–7 (2017)

    Google Scholar 

  16. Manoj, S., Priti, N., Nandnikar, D.: Sensorized glove for rehabilitation purpose. Int. J. Eng. Res. Gen. Sci. 3(3), 189–194 (2015)

    Google Scholar 

  17. Khayani, S.B.: Development of wearable sensors for body joint angle measurement, p. 70, May 2011

    Google Scholar 

  18. Desa, H., Zul Azfar, A: Study of Inertial Measurement Unit Sensor, May 2014

    Google Scholar 

  19. Kumar, K., et al.: An improved tracking using IMU and vision fusion for mobile augmented. 6(5), 13–29 (2014)

    Google Scholar 

  20. Adcock, B., Hansen, A., Roman, B., Teschke, G.: Generalized sampling 48(9), 187–279 (2014)

    Google Scholar 

  21. Stegeman, D., Hermens, H.: Standards for surface electromyography: The European project Surface EMG for non-invasive assessment of muscles (SENIAM). Surface Electromyography Application Areas and Parameters. In: Proceedings of the Third General SENIAM Workshop on surface electromyography, Aachen, Germany, pp. 108–112, January 1998

    Google Scholar 

  22. Nordin, M.: Biomecanica Basica del Sistema Muscoesqueletico-Nordin.pdf (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electronic Engineering Program, Faculty of Engineering, Universidad El Bosque, Bogota, DC, 110111, Colombia

    Santiago Noriega, Maria C. Rojas & Cecilia Murrugarra

Authors
  1. Santiago Noriega
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maria C. Rojas
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cecilia Murrugarra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cecilia Murrugarra .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Universidad Antonio Nariño, Bogotá, Colombia

    Mario Duarte-González

  3. Universidad Antonio Nariño, Bogotá, Colombia

    Sebastián Jaramillo-Isaza

  4. Universidad del Rosario, Bogotá, Colombia

    Alvaro David Orjuela-Cañon

  5. Corporación Unificada Nacional CUN, Bogotá, Colombia

    Yesid Díaz-Gutierrez

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Noriega, S., Rojas, M.C., Murrugarra, C. (2019). A Wireless, Modular and Wearable System for the Recognition and Assessment of Foot Drop Pathology. In: Figueroa-García, J., Duarte-González, M., Jaramillo-Isaza, S., Orjuela-Cañon, A., Díaz-Gutierrez, Y. (eds) Applied Computer Sciences in Engineering. WEA 2019. Communications in Computer and Information Science, vol 1052. Springer, Cham. https://doi.org/10.1007/978-3-030-31019-6_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-31019-6_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31018-9

  • Online ISBN: 978-3-030-31019-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation