Literature DB >> 6386331

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

G C Agarwal, G L Gottlieb.   

Abstract

The engineering analysis and modeling of the neuromuscular system is an exciting and challenging area of research where we may learn something about the principles of controlling large, complex systems. This review is limited to the most peripheral subsystem: the postural control loop. In the first part, we reviewed the input-output properties of the motoneuron pool, modeling of the motor unit action potential and analysis of the interference electromyographic activity. Also included were the engineering techniques to quantitatively study electromyographic activity and its relationship to muscle force. The second part of this review focuses on the biomechanical models of the muscle based on Hill's work as well as the modern sliding filament theory. This section will also include models of the proprioceptive receptors: the muscle spindle organ and the Golgi tendon organ. In the final paper we will discuss various models and simulations of the peripheral loop and their applications to study physiological system behavior such as tremor.

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Mesh:

Year:  1984        PMID: 6386331

Source DB:  PubMed          Journal:  Crit Rev Biomed Eng        ISSN: 0278-940X


  5 in total

1.  A shared neural integrator for human posture control.

Authors:  S E Haggerty; A R Wu; K H Sienko; A D Kuo
Journal:  J Neurophysiol       Date:  2017-04-26       Impact factor: 2.714

2.  Simulation studies on the control of posture and movement in a multi-jointed limb.

Authors:  F Lacquaniti; J F Soechting
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

3.  Control of a one-link arm by burst signal generators.

Authors:  J Kim; H Hemami
Journal:  Biol Cybern       Date:  1995-06       Impact factor: 2.086

4.  Determining appropriate models for joint control using surface electrical stimulation of soleus in spinal cord injury.

Authors:  B Flaherty; C Robinson; G Agarwal
Journal:  Med Biol Eng Comput       Date:  1994-05       Impact factor: 2.602

5.  Two methods for recommending bat weights.

Authors:  A T Bahill; M M Freitas
Journal:  Ann Biomed Eng       Date:  1995 Jul-Aug       Impact factor: 3.934

  5 in total

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