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A Mechatronic Solution for Stroke Rehabilitation in a Reaching Task

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Mechatronics and Machine Vision in Practice 3

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Abstract

This paper describes a mechanically simple, tactile sensing solution as a mechatronic system for discriminating human motion in the process of stroke recovery in reaching task. Three seated healthy volunteers and five stroke survivors were included in trials and demonstrated that the system can discriminate motion of arm and trunk of the body. The results show robustness with respect to variations in volunteers with a accuracy above 90% for both types of participants.

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References

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Authors and Affiliations

  1. University of Southern Queensland, Queensland, 4350, Australia

    P. N. Brett

  2. Brunel University, London, UK

    X. Du, N. Mikov, A. Mohagheghi & T. Korff

Authors
  1. P. N. Brett
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  2. X. Du
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  3. N. Mikov
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  4. A. Mohagheghi
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  5. T. Korff
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Corresponding author

Correspondence to P. N. Brett .

Editor information

Editors and Affiliations

  1. School of Mechanical and Electrical Engineering, University of Southern Queensland, Darling Heights, Toowoomba, Queensland, Australia

    John Billingsley

  2. National Centre for Engineering in Agriculture, University of Southern Queensland, Darling Heights, Toowoomba, Queensland, Australia

    Peter Brett

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Brett, P.N., Du, X., Mikov, N., Mohagheghi, A., Korff, T. (2018). A Mechatronic Solution for Stroke Rehabilitation in a Reaching Task. In: Billingsley, J., Brett, P. (eds) Mechatronics and Machine Vision in Practice 3. Springer, Cham. https://doi.org/10.1007/978-3-319-76947-9_15

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  • DOI: https://doi.org/10.1007/978-3-319-76947-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76946-2

  • Online ISBN: 978-3-319-76947-9

  • eBook Packages: EngineeringEngineering (R0)

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