Skip to main content
SpringerLink
Log in

Measurement and Assessment of Hand Functionality via a Cloud-Based Implementation

  • Conference paper
  • First Online:
Inclusive Smart Cities and e-Health (ICOST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9102))

Included in the following conference series:

Abstract

Measurement of hand functionality is vital for the rehabilitation process as a result of hand injuries. However, patients in remote areas are experiencing difficulties with frequent visits to clinics and hospitals for therapy. This research proposes a novel framework involving a cloud-based implementation based on finger function measurement and tele-assessment employing an affordable optical sensor. Creative Senz3D allows patients to measure and monitor their hand function in non-clinical settings without affecting the quality of treatment. The underlying system includes a subsystem of non-contact ROM measurement of the hand and a cloud-based application which provides web interface for authorised users and a web API for hospital and healthcare professionals. Phalangeal measurement data is regularly sent to data centres that it is conveniently accessible for clinicians to monitor the progress and advise patients the suitable time to visit the hospital. The proposed system is aimed at addressing and providing an e-health solution to a crucial short coming in phalangeal rehabilitation.

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 39.99
Price excludes VAT (USA)
  • Available as 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M.: Above the Clouds : A Berkeley View of Cloud Computing Cloud Computing : An Old Idea Whose Time Has (Finally) Come. Computing 53, 07–013 (2009)

    Google Scholar 

  2. Armbrust, M., Stoica, I., Zaharia, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A.: A view of cloud computing (2010)

    Google Scholar 

  3. Burns, R.B., Crislip, D., Daviou, P., Temkin, A., Vesmarovich, S., Anshutz, J., Furbish, C., Jones, M.L.: Using telerehabilitation to support assistive technology. Assistive Technology : The Official Journal of RESNA 10, 126–133 (1998)

    Article  Google Scholar 

  4. Clark, P.G., Dawson, S.J., Scheideman-Miller, C., Post, M.: TeleRehab: Stroke teletherapy and management using two-way interactive video. Journal of Neurologic Physical Therapy 26, 87–93 (2002)

    Google Scholar 

  5. Cobos, S., Ferre, M., Sanchez Uran, M., Ortego, J., Pena, C.: Efficient human hand kinematics for manipulation tasks. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2246–2251. IEEE, September 2008

    Google Scholar 

  6. Ellis, B., Bruton, A.: A study to compare the reliability of composite finger flexion with goniometry for measurement of range of motion in the hand. Clinical Rehabilitation 16(5), 562–570 (2002)

    Article  Google Scholar 

  7. González-Ortega, D., Díaz-Pernas, F.J., Martínez-Zarzuela, M., Antón-Rodríguez, M.: A Kinect-based system for cognitive rehabilitation exercises monitoring. Computer Methods and Programs in Biomedicine 113, 620–631 (2014)

    Article  Google Scholar 

  8. Hume, M.C., Gellman, H., McKellop, H., Brumfield, R.H.: Functional range of motion of the joints of the hand. The Journal of Hand Surgery 15(2), 240–243 (1990)

    Article  Google Scholar 

  9. Kuch, J., Huang, T.: Human computer interaction via the human hand: a hand model. In: Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers, vol. 2, pp. 1252–1256. IEEE Comput. Soc. Press (1994)

    Google Scholar 

  10. Liu, L., Miyazaki, M.: Telerehabilitation at the University of Alberta. Journal of Telemedicine and Telecare 6(Suppl 2), S47–S49 (2000)

    Article  Google Scholar 

  11. Marx, R., Bombardier, C., Wright, J.: What do we know about the reliability and validity of physical examination tests used to examine the upper extremity?. The Journal of Hand Surgery (1999)

    Google Scholar 

  12. Melax, S., Keselman, L., Orsten, S.: Dynamics based 3D skeletal hand tracking. In: Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games - I3D 2013, p. 184. ACM Press, New York, New York, USA (2013)

    Google Scholar 

  13. Metcalf, C.D., Robinson, R., Malpass, A.J., Bogle, T.P., Dell, T.A., Harris, C., Demain, S.H.: Markerless motion capture and measurement of hand kinematics: validation and application to home-based upper limb rehabilitation. EEE Transactions on Bio-medical Engineering 60(8), 2184–2192 (2013)

    Article  Google Scholar 

  14. Pham, H.T., Kim, J.J., Won, Y.G.: A Low Cost System for 3D Motion Analysis Using Microsoft Kinect. Applied Mechanics and Materials 284–287, 1996–2000 (2013)

    Article  Google Scholar 

  15. Pham, H.T., Pathirana, P.N., Member, S., Caelli, T., Ieee, F.: Functional Range of Movement of the Hand : Declination Angles to Reachable Space, pp. 6230–6233 (2014)

    Google Scholar 

  16. Popescu, V.G., Burdea, G.C., Bouzit, M., Hentz, V.R.: A virtual-reality-based telerehabilitation system with force feedback. IEEE Transactions on Information Technology in Biomedicine : A Publication of the IEEE Engineering in Medicine and Biology Society 4, 45–51 (2000)

    Article  Google Scholar 

  17. Reese, N., Bandy, W.: Joint range of motion and muscle length testing. Saunders (2009)

    Google Scholar 

  18. Reinkensmeyer, D.J., Pang, C.T., Nessler, J.A., Painter, C.C.: Web-based telerehabilitation for the upper extremity after stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering 10, 102–108 (2002)

    Article  Google Scholar 

  19. Russell, T.G., Jull, G.A., Wootton, R.: The diagnostic reliability of Internet-based observational kinematic gait analysis. Tech. rep. (2003)

    Google Scholar 

  20. Simonsen, D., Hansen, J., Spaich, E., Andersen, O.S.: Kinect-based tele-rehabilitation system for hand function. In: Jensen, W., Andersen, O.K.S., Akay, M. (eds.) Replace, Repair, Restore, Relieve Bridging Clinical and Engineering Solutions in Neurorehabilitation SE - 122, Biosystems & Biorobotics, vol. 7, pp. 871–872. Springer International Publishing (2014)

    Google Scholar 

  21. Simonsen, D., Irani, R., Nasrollahi, K., Hansen, J., Spaich, E., Moeslund, T., Andersen, O.S.: Validation and test of a closed-loop tele-rehabilitation system based on functional electrical stimulation and computer vision for analysing facial expressions in stroke patients. In: Jensen, W., Andersen, O.K.S., Akay, M. (eds.) Replace, Repair, Restore, Relieve Bridging Clinical and Engineering Solutions in Neurorehabilitation SE - 103, Biosystems & Biorobotics, vol. 7, pp. 741–750. Springer International Publishing (2014)

    Google Scholar 

  22. Stam, H.J., Ardon, M.S., den Ouden, A.C., Schreuders, T.A.R., Roebroeck, M.E.: The compangle: a new goniometer for joint angle measurements of the hand. A Technical Note. Europa Medicophysica 42, 37–40 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, Deakin University, Geelong, Victoria, 3216, Australia

    Hai-Trieu Pham & Pubudu N. Pathirana

Authors
  1. Hai-Trieu Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pubudu N. Pathirana
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hai-Trieu Pham .

Editor information

Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Antoine Geissbühler

  2. Université Joseph Fourier, Grenoble, France

    Jacques Demongeot

  3. Institut Mines Télécom Paris, CNRS IPAL (UMI 2955 Singapore), Paris, France

    Mounir Mokhtari

  4. Université de Sherbrooke, Sherbrooke, Québec, Canada

    Bessam Abdulrazak

  5. Institut Mines Télécom, CNRS LIRMM, Paris, France

    Hamdi Aloulou

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Pham, HT., Pathirana, P.N. (2015). Measurement and Assessment of Hand Functionality via a Cloud-Based Implementation. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Inclusive Smart Cities and e-Health. ICOST 2015. Lecture Notes in Computer Science(), vol 9102. Springer, Cham. https://doi.org/10.1007/978-3-319-19312-0_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19312-0_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19311-3

  • Online ISBN: 978-3-319-19312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation