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Related Experiment Videos

Mathematical modeling and simulation of the postural control loop--Part II.

G C Agarwal, G L Gottlieb

    Critical Reviews in Biomedical Engineering
    |January 1, 1984
    PubMed
    Summary

    This review explores engineering models of the neuromuscular system's peripheral postural control loop. It covers motoneuron pools, electromyographic activity, muscle biomechanics, and proprioceptive receptors for physiological system analysis.

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    Area of Science:

    • Biomechanics
    • Neuroscience
    • Systems Engineering

    Background:

    • The neuromuscular system's control principles are complex.
    • Understanding peripheral subsystems is crucial for analyzing complex biological systems.
    • Postural control is a key function of the neuromuscular system.

    Purpose of the Study:

    • To review engineering analysis and modeling of the neuromuscular system's peripheral postural control loop.
    • To consolidate knowledge on modeling motoneuron pools, muscle, and proprioceptors.
    • To discuss applications in studying physiological behaviors like tremor.

    Main Methods:

    • Review of input-output properties of the motoneuron pool.
    • Modeling of motor unit action potential and electromyographic (EMG) activity.

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  • Analysis of engineering techniques for quantitative EMG and muscle force relationship.
  • Examination of biomechanical muscle models (Hill-based, sliding filament theory).
  • Inclusion of models for muscle spindle and Golgi tendon organs.

    • Main Results:

    • Detailed review of peripheral neuromuscular control components.
    • Integration of modeling approaches for muscle and sensory receptors.
    • Discussion of quantitative methods for analyzing EMG and muscle force.
    • Presentation of models applicable to physiological system simulation.

    Conclusions:

    • Engineering models provide valuable insights into neuromuscular control.
    • The review synthesizes current modeling approaches for the peripheral postural control loop.
    • These models have significant applications in understanding physiological system dynamics and pathologies.