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Combined Phase and Magnitude Metric for Validation of Lower Limb Multibody Dynamics Muscle Action with sEMG

  • Carlos Rodrigues
  • Miguel Correia
  • João Abrantes
  • Jurandir Nadal
  • Marco Benedetti
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 68/2)

Abstract

This study presents and applies combined phase and magnitude metrics for validation of multibody dynamics (MBD) estimated muscle actions with simultaneous registered sEMG of lower limb muscles. Subject-specific tests were performed for acquisition of ground reaction forces and kinematic data from joint reflective markers during NG, SKG and SR. Inverse kinematics and dynamics was performed using AnyBody musculoskeletal personalized modeling and simulation. MBD estimated muscle activity (MA) of soleus medialis (SM) and tibialis anterior (TA) were compared on phase, magnitude and combined metric with simultaneous acquisition of sEMG for the same muscles. Results from quantitative metrics presented better agreement between MDB MA and sEMG on phase (P) than on magnitude (M) with combined (C) metric following the same pattern as the magnitude. Soleus medialis presented for specific subject lower P and M error on NG and SKG than at SR with similar P errors for tibialis anterior and higher error on M for TA at NG and SKG than SR. Separately and combined quantitative metrics of phase and magnitude presents as a suitable tool for comparing measured sEMG and MBD estimated muscle activities, contributing to overcome qualitative and subjective comparisons, need for intensive observer supervision, low reproducibility and time consuming.

Keywords

Phase Magnitude Lower limb Muscle action Validation 

Notes

Conflict of Interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Perry, J., Burnfield, J. M.: Gait Analysis: Normal and Pathological Function. 2nd edn. SLACK Incorporated, Thorofare, NJ (2010).Google Scholar
  2. 2.
    Lund, M. E., de Zee, M., Andersen, M. S., Rasmussen, J: On validation of multibody musculoskeletal models. Journal of Engineering in Medicine 226(2), 82–94 (2012).Google Scholar
  3. 3.
    Schwer, L. E.: Validation metrics for response histories: perspectives and case studies. Engineering with computers 23(4), 295–309 (2007).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Carlos Rodrigues
    • 1
    • 2
  • Miguel Correia
    • 1
    • 2
  • João Abrantes
    • 3
  • Jurandir Nadal
    • 4
  • Marco Benedetti
    • 5
  1. 1.Faculty of EngineeringFEUP, University of PortoPortoPortugal
  2. 2.INESC TEC, Institute for Systems and Computer Engineering, Technology and SciencePortoPortugal
  3. 3.MovLab, Interactions and Interfaces LaboratoryLisbonPortugal
  4. 4.UFRJ, Federal University of Rio de JaneiroRio de JaneiroBrazil
  5. 5.UFPE, Federal University of PernambucoRecifeBrazil

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