Skip to main content

A Novel Wearable for Rehabilitation Using Infrared Sensors: A Preliminary Investigation

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10209))

Abstract

In this paper we outline a novel design of a wireless sensor wearable band for tracking patient movements. This technology and design has potential applications for rehabilitation of stroke survivors who suffer from spasticity in their upper extremities. This technology could be used to track patient movement performed in a non-clinical environment, such as inside the comfort of their home. Data on their treatment progress could be transmitted wirelessly both to the clinician and to the patient. This technology could help realize increased monitoring of the patient, quantitative data on patient improvement over time and decreased health care costs. In this paper we demonstrated a preliminary prototype which can track and distinguish classes of movement of a user performing elbow flexion exercises while seated at a table. A study was completed with 6 participants with classification accuracies up to 88%.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Internet stroke center: Stroke Statistics|Internet Stroke Center. http://www.strokecenter.org/patients/about-stroke/stroke-statistics/

  2. Canadian partnership for stroke recovery: Spasticity - StrokeEngine.ca. http://www.strokengine.ca/glossary/spasticity/

  3. Teasell, R.: Background concepts in stroke rehabilitation, pp. 1–48 (2016)

    Google Scholar 

  4. Di Carlo, A.: Human and economic burden of stroke. Age Ageing 38(1), 4–5 (2009)

    Article  Google Scholar 

  5. Bonato, P.: Advances in wearable technology and applications in physical medicine and rehabilitation. J. Neuroeng. Rehabil. 2, 2 (2005)

    Article  Google Scholar 

  6. Teasell, R., Foley, N., Mehta, S., Stanines, E.: Upper extremity interventions. In: Teasell, R. (ed.) Evidence-Based Review of Stroke Rehabilitation, vol. 2013, pp. 1–163 (2012)

    Google Scholar 

  7. Giorgino, T., Tormene, P., Maggioni, G., Pistarini, C., Quaglini, S.: Wireless support to poststroke rehabilitation: MyHearts neurological rehabilitation concept. IEEE Trans. Inf Technol. Biomed. 13(6), 1012–1018 (2009)

    Article  Google Scholar 

  8. Willmann, R.D., Lanfermann, G., Saini, P., Timmermans, A., Te Vrugt, J., Winter, S.: Home stroke rehabilitation for the upper limbs. In: Annual International Conference of the IEEE Engineering in Medicine and Biology, Proceedings, pp. 4015–4018 (2007)

    Google Scholar 

  9. Kim, J., Yang, S., Gerla, M.: StrokeTrack: wireless inertial motion tracking of human arms for stroke telerehabilitation. In: Proceedings of First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare, p. 4 (2011)

    Google Scholar 

  10. Álvarez, D., Alvarez, J., Gonzalez, R., Lopez, A.: Upper limb joint angle measurement in occupational health. Comput. Methods Biomech. Biomed. Eng. 19(2), 144–158 (2016)

    Article  Google Scholar 

  11. Luinge, H.J., Veltink, P.H., Baten, C.T.M.: Ambulatory measurement of arm orientation. J. Biomech. 40(1), 78–85 (2007)

    Article  Google Scholar 

  12. Gowland, C.K., Griffiths, J., Stratford, P., Barclay-Goddard, R.: Chedoke-Mcmaster stroke assessment. In: Development, Validation and Administration Manual, no. 1995 (2008)

    Google Scholar 

  13. Shen, Y., Wu, F., Tseng, K.-S., Ye, D., Raymond, J., Konety, B., Sweet, R.: A motion tracking and sensor fusion module for medical simulation. Stud. Health Technol. Inf. 220, 363–366 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Jordan Lui or Carlo Menon .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Lui, J., Ferrone, A., Lim, Z.Y., Colace, L., Menon, C. (2017). A Novel Wearable for Rehabilitation Using Infrared Sensors: A Preliminary Investigation. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10209. Springer, Cham. https://doi.org/10.1007/978-3-319-56154-7_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-56154-7_51

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56153-0

  • Online ISBN: 978-3-319-56154-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics