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Clinical Application: Multiple Sclerosis

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Control System Design for Electrical Stimulation in Upper Limb Rehabilitation

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Abstract

In this chapter we employ the ES control framework developed in Chaps. 3 and 4 to assist pwMS in performing virtual reality (VR) training tasks. Stimulation is applied to the shoulder and elbow, and additional support is provided using the instrumented passive robotic support described in Sect. 3.2. A clinical feasibility study is conducted using the system with pwMS to establish the efficacy of the system for improving upper limb function for neurologically impaired participants.

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References

  1. F. Khan, L. Turner-Stokes, L. Ng, T. Kilpatrick, Multidisciplinary rehabilitation for adults with multiple sclerosis. Cochrane Database Syst. Rev. 18(2), CD006036 (2007)

    Google Scholar 

  2. A.I. Spooren, A.A. Timmermans, H.A. Seelen, Motor training programs of arm and hand in patients with MS according to different levels of the ICF: a systematic review. BMC Neurol. 12, 49 (2012)

    Article  Google Scholar 

  3. P. Sampson, C.T. Freeman, S. Coote, S. Demain, P. Feys, K.L. Meadmore, A.M. Hughes, Using functional electrical stimulation mediated by iterative learning control and robotics to improve arm movement for people with multiple sclerosis. IEEE Trans. Neural Syst. Rehabil. Eng. (2015)

    Google Scholar 

  4. I. Lamers, A.A. Timmermans, L. Kerkhofs, D. Severijns, B. Van Wijmeersch, P. Feys, Self-reported use of the upper limbs related to clinical tests in persons with multiple sclerosis. Disabil. Rehabil. 35, 2016–2020 (2013)

    Article  Google Scholar 

  5. N. Yozbatiran, L. Der-Yeghiaian, S.C. Cramer, A standardized approach to performing the action research arm test. Neurorehabil. Neural Repair 22, 78–90 (2008)

    Article  Google Scholar 

  6. R.C. Lyle, A performance test for assessment of upper limb function in physical rehabilitation treatment and research. Int. J. Rehabil. Res. 4, 483–492 (1981)

    Article  Google Scholar 

  7. I. Lamers, L. Kerkhofs, J. Raats, D. Kos, B. Van Wijmeersch, P. Feys, Perceived and actual arm performance in multiple sclerosis: relationship with clinical tests according to hand dominance. Mult. Scler. 19, 1341–1348 (2013)

    Article  Google Scholar 

  8. V. Mathiowetz, K. Weber, N. Kashman, G. Volland, Adult norms for the nine hole peg test of finger dexterity. Occup. Ther. J. Res. 5, 24–38 (1985)

    Google Scholar 

  9. D.E. Goodkin, D. Hertsgaard, J. Seminary, Upper extremity function in multiple sclerosis: improving assessment sensitivity with box-and-block and nine-hole peg tests. Arch. Phys. Med. Rehabil. 69, 850–854 (1988)

    Google Scholar 

  10. B. Kopp, A. Kunkel, H. Flor, T. Platz, U. Rose, K.H. Mauritz, K. Gresser, K.L. Mcculloch, E. Taub, The arm motor ability test: reliability, validity, and sensitivity to change of an instrument for assessing disabilities in activities of daily living. Arch. Phys. Med. Rehabil. 78, 615–620 (1997)

    Google Scholar 

  11. C.C. Chen, R.K. Bode, Psychometric validation of the manual ability measure-36 (MAM-36) in patients with neurologic and musculoskeletal disorders. Arch. Phys. Med. Rehabil. 91, 414–420 (2010)

    Article  Google Scholar 

  12. A.R. Fugl-Meyer, L. Jaasko, I. Leyman, S. Olsson, S. Steglind, The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand. J. Rehabil. Med. 7, 13–31 (1975)

    Google Scholar 

  13. P.W. Duncan, M. Propst, S.G. Nelson, Reliability of the fugl-meyer assessment of sensorimotor recovery following cerebrovascular accident. Phys. Ther. 63, 1606–1610 (1983)

    Google Scholar 

  14. D.J. Gladstone, C.J. Danells, S.E. Black, The fugl-meyer assessment of motor recovery after stroke: a critical review of its measurement properties. Neurorehabil. Neural. Repair 16, 232–240 (2002)

    Google Scholar 

  15. A.M. Hughes, C.T. Freeman, J.H. Burridge, P.H. Chappell, P. Lewin, E. Rogers, Feasibility of iterative learning control mediated by functional electrical stimulation for reaching after stroke. J. Neurorehabil. Neural Repair 23(6), 559–568 (2009)

    Article  Google Scholar 

  16. K.L. Meadmore, A.-M. Hughes, C.T. Freeman, Z. Cai, D. Tong, J.H. Burridge, E. Rogers, Functional electrical stimulation mediated by iterative learning control and \(3d\) robotics reduces motor impairment in chronic stroke. J. Neuroeng. Rehabil. 32(9), 1–11 (2012)

    Google Scholar 

  17. D. Gijbels, I. Lamers, L. Kerkhofs, G. Alders, E. Knippenberg, P. Feys, The armeo spring as training tool to improve upper limb functionality in multiple sclerosis: a pilot study. J. Neuroeng. Rehabil. 8, 5–5 (2011)

    Article  Google Scholar 

  18. I. Carpinella, D. Cattaneo, S. Abuarqub, M. Ferrarin, Robot-based rehabilitation of the upper limbs in multiple sclerosis: feasibility and preliminary results. J. Rehabil. Med. (Stiftelsen Rehabiliteringsinformation) 41, 966–970 (2009)

    Article  Google Scholar 

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Authors and Affiliations

  1. University of Southampton, Southampton, UK

    Chris Freeman

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  1. Chris Freeman
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Correspondence to Chris Freeman .

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Freeman, C. (2016). Clinical Application: Multiple Sclerosis. In: Control System Design for Electrical Stimulation in Upper Limb Rehabilitation. Springer, Cham. https://doi.org/10.1007/978-3-319-25706-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-25706-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25704-4

  • Online ISBN: 978-3-319-25706-8

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