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System Identification, Environmental Modelling, and Control System Design pp 293–318Cite as

Progress and Open Questions in the Identification of Electrically Stimulated Human Muscle for Stroke Rehabilitation

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Abstract

Recent work involving the use of robots in stroke rehabilitation has developed model-based algorithms to control the application of functional electrical stimulation to the upper limb of stroke patients with incomplete paralysis to assist in reaching tasks. This, in turn, requires the identification of the response of a human muscle to electrical stimulation. In this chapter an overview of the progress reported in the literature is given together with some currently open research questions.

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Authors and Affiliations

  1. School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK

    Fengmin Le, Chris T. Freeman, Ivan Markovsky & Eric Rogers

Authors
  1. Fengmin Le
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  2. Chris T. Freeman
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  3. Ivan Markovsky
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  4. Eric Rogers
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Correspondence to Eric Rogers .

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Editors and Affiliations

  1. Computer Engineering, RMIT University, Swanston Street 10, Melbourne, 3000, Victoria, Australia

    Liuping Wang

  2. Centre de Recherche en, Automatique de Nancy, Université Nancy I, Vandoeuvre-les-Nancy CX, France

    Hugues Garnier

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Le, F., Freeman, C.T., Markovsky, I., Rogers, E. (2012). Progress and Open Questions in the Identification of Electrically Stimulated Human Muscle for Stroke Rehabilitation. In: Wang, L., Garnier, H. (eds) System Identification, Environmental Modelling, and Control System Design. Springer, London. https://doi.org/10.1007/978-0-85729-974-1_15

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  • DOI: https://doi.org/10.1007/978-0-85729-974-1_15

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  • Online ISBN: 978-0-85729-974-1

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