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Online Simultaneous Myoelectric Finger Control

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Converging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 21))

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Abstract

State-of-the-art prosthetic hands allow separate control of all digits. Restoring natural hand use with these systems requires simultaneous and proportional control of all fingers. Regression algorithms might be able to predict any combination of degrees of freedom after training them separately. However, to the best of our knowledge, this has yet to be shown online. Twelve able-bodied participants were instructed to reach predefined target forces representing either single or combined finger presses, following a system training session consisting of only individual finger presses. Myoelectric control was implemented using linear ridge regression. The results demonstrated that myoelectric control allowed participants to reach both single finger, and combination targets, with hit rates of 88% and 54% respectively. These findings suggest that simultaneous control of multiple fingers is possible, even when these movements are not included in the training set.

This work was supported by the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 604063 (S. S. G. Dupan, D. F. Stegeman), and Erasmus+ 2017/2018 (2017/E+/11600, S. S. G. Dupan).

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References

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Author information

Authors and Affiliations

  1. Donders Institute, Department of Biophysics, Radboud University, Nijmegen, The Netherlands

    Sigrid S. G. Dupan

  2. Department of Bioengineering, Imperial College London, London, UK

    Ivan Vujaklija, Martyna K. Stachaczyk & Dario Farina

  3. Neurorehabilitation Systems Research Group, Clinics for Trauma, Orthopaedics, and Plastic Surgery, University Medical Center Goettingen, Goettingen, Germany

    Janne M. Hahne

  4. Donders Institute, Department of Neurology and Neurophysiology, Radboud University Medical Centre, Nijmegen, The Netherlands

    Dick F. Stegeman

  5. Department of Health Science and Technology, Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark

    Strahinja S. Dosen

Authors
  1. Sigrid S. G. Dupan
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  2. Ivan Vujaklija
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  3. Martyna K. Stachaczyk
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  4. Janne M. Hahne
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  5. Dick F. Stegeman
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  6. Strahinja S. Dosen
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  7. Dario Farina
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Corresponding author

Correspondence to Sigrid S. G. Dupan .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Lorenzo Masia

  2. Scuola Superiore Sant’Anna, Translational Neural Engineering Area, The BioRobotics Institute, Pisa, Italy

    Silvestro Micera

  3. Department of Biomedical Engineering, University of Houston, Cullen College of Engineering, Houston, TX, USA

    Metin Akay

  4. Spanish National Research Council (CSIC), Cajal Institute, Madrid, Spain

    José L. Pons

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Dupan, S.S.G. et al. (2019). Online Simultaneous Myoelectric Finger Control. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_14

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  • DOI: https://doi.org/10.1007/978-3-030-01845-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01844-3

  • Online ISBN: 978-3-030-01845-0

  • eBook Packages: EngineeringEngineering (R0)

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