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Delivering Remote Rehabilitation at Home: An Integrated Physio-Neuro Approach to Effective and User Friendly Wearable Devices

Part of the Biosystems & Biorobotics book series (BIOSYSROB,volume 15)

Abstract

There is a global shortage of manpower and technology in rehabilitation to attend to the five million new patients who are left disabled every year with stroke. Neuroplasticity is increasingly recognized to be a primary mechanism to achieve significant motor recovery. However, most rehabilitation devices either limit themselves to mechanical repetitive movement practice at a limb level or focus only on cognitive tasks. This may result in improvements in impairment but seldom translates into effective limb and hand use in daily activities. This paper presents an easy-to-use, wearable upper limb system, SynPhNe (pronounced like “symphony”), which trains brain and muscle as one system employing neuroplasticity principles. A summary of clinical results with stroke patients is presented. A new, wireless, home-use version of the solution architecture has been proposed, which can make it possible for patients to do guided therapy at home and thus have access to more therapy hours.

Keywords

  • Stroke Patient
  • Grip Strength
  • Cloud Server
  • Remote Monitoring
  • Stroke Subject

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This study was supported by the Singapore-MIT Alliance (SMART) Innovation grant, 2012 and SPRING TECS grant, 2014, Singapore.

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References

  1. B. Kollen, G. Kwakkel, E. Lindeman, Functional recovery after stroke: a review of current developments in stroke rehabilitation research. Reviews on Recent Clinical Trials 1(1), 75–80 (2006)

    CrossRef  Google Scholar 

  2. J. Mehrholz, T. Platz, J. Kugler, M. Pohl, Electromechanical and robot-assisted arm training for improving arm function and activities of daily living after stroke, Cochrane Database of Systematic Reviews, Issue 4 (2008)

    Google Scholar 

  3. K.J. Waddell, R.L. Birkenmeier, J.L. Moore, T.G. Hornby, C.E. Lang, Feasibility of high-repetition, task specific training for individuals with upper-extremity paresis. Am. J. Occup. Ther. 68(4), 444–453 (2014)

    CrossRef  Google Scholar 

  4. S. Hesse, G. Schulte-Tigges, M. Konrad, A. Bardeleben, C. Werner, Robotic assisted arm trainer for the passive and active practice of bilateral forearm and wrist movements in hemiparetic subjects. Arch. Phys. Med. Rehabil. 84(6), 915–920 (2003)

    CrossRef  Google Scholar 

  5. A. Timmermans, H. Seelen, R. Willmann, H. Kingma, H., Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design, J. NeuroEng. Rehabil. 6(1) (2009)

    Google Scholar 

  6. R.C.V. Loureiro, C.F. Collin, W.S. Harwin, Robot aided therapy: challenges ahead for upper limb stroke rehabilitation, in Proceedings of 5th International Conference on Disability, Virtual Reality and Associated Technologies, Oxford, UK, (2004). ISBN 07 049 11 44 2

    Google Scholar 

  7. J.A. Kleim, T.A. Jones, Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. J. Speech Lang. Hear. Res. 51(1), 225–239 (2008)

    CrossRef  Google Scholar 

  8. S. Banerji, J. Heng, P.S. Ponvignesh, D.D. Menezes, Augmenting rehabilitation after stroke: A flexible platform for combining multi-channel biofeedback with FES. Converging Clin. Eng. Res. Neurorehabilitation-Biosyst. Biorobotics 1, 259–263 (2012)

    CrossRef  Google Scholar 

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Acknowledgment

Sponsor and financial support acknowledgments are placed in the unnumbered footnote on the first page.

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Correspondence to Subhasis Banerji .

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Banerji, S., Heng, J., Banerjee, A., Ponvignesh, P.S., Menezes, D., Kumar, R. (2017). Delivering Remote Rehabilitation at Home: An Integrated Physio-Neuro Approach to Effective and User Friendly Wearable Devices. In: Ibáñez, J., González-Vargas, J., Azorín, J., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation II. Biosystems & Biorobotics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-46669-9_178

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  • DOI: https://doi.org/10.1007/978-3-319-46669-9_178

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46668-2

  • Online ISBN: 978-3-319-46669-9

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