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When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance

View ORCID ProfileVictor R. Barradas, Jason J. Kutch, Toshihiro Kawase, Yasuharu Koike, Nicolas Schweighofer
doi: https://doi.org/10.1101/634758
Victor R. Barradas
Biomedical Engineering, University of Southern California, Los Angeles, California, USA
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  • ORCID record for Victor R. Barradas
Jason J. Kutch
Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA
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Toshihiro Kawase
Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan
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Yasuharu Koike
Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan
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Nicolas Schweighofer
Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA
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  • For correspondence: schweigh@usc.edu
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Article Information

doi 
https://doi.org/10.1101/634758
History 
  • May 13, 2019.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Victor R. Barradas1,
  2. Jason J. Kutch2,
  3. Toshihiro Kawase3,
  4. Yasuharu Koike3 and
  5. Nicolas Schweighofer2,*
  1. 1Biomedical Engineering, University of Southern California, Los Angeles, California, USA
  2. 2Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA
  3. 3Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan
  1. ↵*Corresponding author E-mail: schweigh{at}usc.edu (NS)
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Posted May 13, 2019.
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When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance
Victor R. Barradas, Jason J. Kutch, Toshihiro Kawase, Yasuharu Koike, Nicolas Schweighofer
bioRxiv 634758; doi: https://doi.org/10.1101/634758
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When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance
Victor R. Barradas, Jason J. Kutch, Toshihiro Kawase, Yasuharu Koike, Nicolas Schweighofer
bioRxiv 634758; doi: https://doi.org/10.1101/634758

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