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Research ArticleResearch Article: New Research, Novel Tools and Methods

Larger and Denser: An Optimal Design for Surface Grids of EMG Electrodes to Identify Greater and More Representative Samples of Motor Units

Arnault H. Caillet, Simon Avrillon, Aritra Kundu, Tianyi Yu, Andrew T. M. Phillips, Luca Modenese and Dario Farina
eNeuro 1 September 2023, 10 (9) ENEURO.0064-23.2023; DOI: https://doi.org/10.1523/ENEURO.0064-23.2023
Arnault H. Caillet
1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
2Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom
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Simon Avrillon
1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
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Aritra Kundu
1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
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Tianyi Yu
1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
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Andrew T. M. Phillips
2Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom
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Luca Modenese
3Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales 1466, Australia
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Dario Farina
1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0064-23.2023
PubMed 
37657923
Published By 
Society for Neuroscience
History 
  • Received February 23, 2023
  • Revision received August 2, 2023
  • Accepted August 3, 2023
  • Published online September 1, 2023.
Copyright & Usage 
Copyright © 2023 Caillet et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Arnault H. Caillet1,2,*,
  2. Simon Avrillon1,*,
  3. Aritra Kundu1,
  4. Tianyi Yu1,
  5. Andrew T. M. Phillips2,
  6. Luca Modenese3 and
  7. Dario Farina1
  1. 1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
  2. 2Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom
  3. 3Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales 1466, Australia
  1. Correspondence should be addressed to Dario Farina at d.farina{at}imperial.ac.uk.
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Author contributions

  1. Author contributions: A.H.C., S.A., A.K., T.Y., A.T.M.P., L.M., and D.F. designed research; A.H.C., S.A., A.K., and T.Y. performed research; A.H.C., S.A., A.K., and T.Y. contributed unpublished reagents/analytic tools; A.H.C., S.A., A.K., T.Y., and D.F. analyzed data; A.H.C. and S.A. wrote the paper.

  2. ↵* A.H.C. and S.A. contributed equally to this work and share the first authorship.

Disclosures

  • The authors declare no competing financial interests.

  • D.F. is supported by the European Research Council Synergy Grant NaturalBionicS (Contract #810346), the Engineering and Physical Sciences Research Council (EPSRC) Transformative Healthcare, the Non-Invasive Single Neuron Electrical Monitoring (NISNEM Technology) Grant EP/T020970, and the Biotechnology and Biological Sciences Research Council (BBSRC) “Neural Commands for Fast Movements in the Primate Motor System” Grant NU-003743.

Funding

  • EC | ERC | HORIZON EUROPE European Research Council (ERC)

    810346
  • EPSRC Transformative Healthcare

  • NISNEM Technology

    EP/T020970
  • UKRI | Biotechnology and Biological Sciences Research Council (BBSRC)

    NU-003743

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Larger and Denser: An Optimal Design for Surface Grids of EMG Electrodes to Identify Greater and More Representative Samples of Motor Units
Arnault H. Caillet, Simon Avrillon, Aritra Kundu, Tianyi Yu, Andrew T. M. Phillips, Luca Modenese, Dario Farina
eNeuro 1 September 2023, 10 (9) ENEURO.0064-23.2023; DOI: 10.1523/ENEURO.0064-23.2023

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Larger and Denser: An Optimal Design for Surface Grids of EMG Electrodes to Identify Greater and More Representative Samples of Motor Units
Arnault H. Caillet, Simon Avrillon, Aritra Kundu, Tianyi Yu, Andrew T. M. Phillips, Luca Modenese, Dario Farina
eNeuro 1 September 2023, 10 (9) ENEURO.0064-23.2023; DOI: 10.1523/ENEURO.0064-23.2023
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Keywords

  • action potentials
  • high-density EMG
  • motoneuron
  • motor unit
  • source separation methods
  • spike trains

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