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Abstract

This chapter highlights open research areas that must be addressed in order for the rehabilitation technology described in previous chapters to translate to patients’ homes, where it can be used without direct supervision from a therapist over longer training periods. These include: (1) mechanisms to reduce or eliminate lengthy and often fatiguing model identification tests, (2) approaches for controllers to automatically compensate for physiological changes such as fatigue, spasticity and change in electrode position, and (3) current progress in developing ES hardware which is easy to don and doff, and incorporates as few components and wires as possible. Finally, routes are highlighted to embed greater functionality into the proposed control framework, together with wider application areas in which it may be exploited.

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References

  1. A.-M. Hughes, J.H. Burridge, S.H. Demain, C.E. Ellis-Hill, C. Meagher, L. Tedesco-Triccas, R. Turk, I. Swain, Translation of evidence-based assistive technologies into stroke rehabilitation: users’ perceptions of the barriers and opportunities. BMC Health Serv. Res. 14, 124 (2014)

    Google Scholar 

  2. K.L. Meadmore, A.-M. Hughes, C.T. Freeman, V. Benson, J.H. Burridge, Participant feedback in the evaluation of novel stroke rehabilitation technologies. J. Rehabil. Robot. 1, 82–92 (2013)

    Google Scholar 

  3. D. Buchstaller, M. French, Robust stability and performance for multiple model adaptive control: Part I—the framework. IEEE Trans. Autom. Control (2015) (In Press)

    Google Scholar 

  4. D. Buchstaller, M. French, Robust stability and performance for multiple model adaptive control: Part II—gain bounds. IEEE Trans. Automa. Control (2015) (In Press)

    Google Scholar 

  5. O.W. Brend, C.T. Freeman, M. French, Multiple model adaptive control of functional electrical stimulation. IEEE Trans. Control Syst. Technol. 23(5), 1901–1913 (2015)

    Google Scholar 

  6. C.T. Freeman, M. French, Estimation based multiple model iterative learning control, in 54th IEEE Conference on Decision and Control, (2015) (In Press)

    Google Scholar 

  7. T. Keller, M. Lawrence, A. Kuhn, Textile neuroprosthesis garment for functional electrical stimulation, in International Workshop on Functional Electrical Stimulation, Krems, Austria (2007), pp. 107–110

    Google Scholar 

  8. M. Lawrence, Transcutaneous electrode technology for neuroprostheses, Ph.D. thesis, ETH Zurich, 2009

    Google Scholar 

  9. A. Lymberis, R. Paradiso, Smart fabrics and interactive textile enabling wearable personal applications: R&d state of the art and future challenges, in 30th Annual International IEEE EMBS Conference, Vancouver, British Columbia, Canada (2008), pp. 5270–5273

    Google Scholar 

  10. K. Cherenack, C. Zysset, T. Kinkeldei, N. Münzenrieder, G. Tröster, Woven electronic fibers with sensing and display functions for smart textiles. Adv. Mater. 22, 5178–5182 (2010)

    Article  Google Scholar 

  11. K. Cherenack, L.V. Pieterson, Smart textiles: challenges and opportunities. J Appl. Phys. 112, 091301 (2012)

    Google Scholar 

  12. M. Zirkl, A. Sawatdee, U. Helbig, M. Krause, G. Scheipl, E. Kraker, P.A. Ersman, D. Nilsson, D. Platt, P. BodÃű S. Bauer, G. Domann, B. Stadlober, An all-printed ferroelectric active matrix sensor network based on only five functional materials forming a touchless control interface. Adv. Mater. 23, 2069–2074 (2011)

    Google Scholar 

  13. Y. Kim, H. Kim, H.J. Yoo, Electrical characterization of screen-printed circuits on the fabric. IEEE Trans. Adv. Packag. 33, 196–205 (2010)

    Article  Google Scholar 

  14. M.R. Neuman, Biopotential electrodes, in The Biomedical Engineering Handbook, ed. by J.D. Bronzino, 2nd edn (CRC Press, Boca Raton, 1999), pp. 889–900

    Google Scholar 

  15. K. Yang, C.T. Freeman, R.N. Torah, S.P. Beeby, J. Tudor, Screen printed fabric electrode array for wearable functional electrical stimulation. Sens. Actuators A: Phys. 213, 108–115 (2014)

    Article  Google Scholar 

  16. Y. Chen, B. Chu, C.T. Freeman, Point-to-point iterative learning control with optimal tracking time allocation, in 54th IEEE Conference on Decision and Control (2015) (In Press)

    Google Scholar 

  17. S. Balasubramaniam, A robust and sensitive metric for quantifying movement smoothness. IEEE Trans. Rehabil. Eng. 59(8), 2126–2136 (2012)

    Article  Google Scholar 

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Correspondence to Chris Freeman .

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Freeman, C. (2016). Conclusions and Future Research Directions. In: Control System Design for Electrical Stimulation in Upper Limb Rehabilitation. Springer, Cham. https://doi.org/10.1007/978-3-319-25706-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-25706-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25704-4

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