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Implementation and experimental validation of surface electromyogram and force model of Tibialis Anterior muscle for examining muscular factors.

Sridhar Poosapadi ArjunanAriba SiddiqiRamakrishnan SwaminathanDinesh K Kumar
Published in: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine (2019)
This study reports a surface electromyogram and force of contraction model. The objective was to investigate the effect of changes in the size, type and number of motor units in the Tibialis Anterior muscle to surface electromyogram and force of dorsiflexion. A computational model to simulate surface electromyogram and associated force of contraction by the Tibialis Anterior muscle was developed. This model was simulated for isometric dorsiflexion, and comparative experiments were conducted for validation. Repeated simulations were performed to investigate the different parameters and evaluate inter-experimental variability. An equivalence statistical test and the Bland-Altman method were used to observe the significance between the simulated and experimental data. Simulated and experimentally recorded data had high similarity for the three measures: maximal power of power spectral density (p < 0.0001), root mean square of surface electromyogram (p < 0.0001) and force recorded at the footplate (p < 0.03). Inter-subject variability in the experimental results was in-line with the variability in the repeated simulation results. This experimentally validated computational model for the surface electromyogram and force of the Tibialis Anterior muscle is significant as it allows the examination of three important muscular factors associated with ageing and disease: size, fibre type and number of motor units.
Keyphrases
  • single molecule
  • skeletal muscle
  • healthcare
  • resistance training
  • magnetic resonance imaging
  • emergency department
  • big data
  • machine learning
  • molecular dynamics
  • smooth muscle
  • finite element