Electromyography-driven modeling for simulating subject-specific movement at the neuromusculoskeletal level

M. Sartori*, David G Lloyd, T. F. Besier, J. W. Fernandez, Dario Farina

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)

Abstract

This chapter provides a comprehensive description of subject-specific electromyography (EMG)-driven musculoskeletal models for the human lower extremity. EMG-driven modeling requires experimental human motion data to be captured for model calibration and operation. A musculoskeletal model is created from medical imaging data of bone and muscle surfaces, such as magnetic resonance imaging (MRI) or computed tomography. The multi-degrees of freedom (DOFs) model comprises five main components: musculotendon kinematics, musculotendon activation, musculotendon dynamics, moment computation, and model calibration. The chapter demonstrates the use of EMG-driven modeling to predict musculotendon units (MTUs) forces and the resulting joint moments about multiple DOFs during dynamic motor tasks. It outlines the use of EMG-driven modeling for applications in neurorehabilitation technologies. EMG-driven methodologies can be successfully applied to study dynamic tasks that involve muscle co-contraction. EMG-informed predictions of muscle forces acting on the hip have been also used to improve estimates of bone remodeling stimulus.

Original languageEnglish
Title of host publicationSurface Electromyography: Physiology, Engineering and Applications
PublisherWiley
Pages247-272
Number of pages26
ISBN (Electronic)9781119082934
ISBN (Print)9781118987025
DOIs
Publication statusPublished - 22 Apr 2016
Externally publishedYes

Keywords

  • Electromyography-driven modeling
  • Human motion
  • Magnetic resonance imaging
  • Musculotendon units
  • Neuromusculoskeletal level
  • Subject-specific movement

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