Literature DB >> 2601461

Frequency response model of skeletal muscle: effect of perturbation level, and control strategy.

R Baratta, B H Zhou, M Solomonow.   

Abstract

The frequency response model of the soleus muscle of the cat was determined as a function of various firing rate and recruitment control strategies and at various force oscillation levels. We found that the basic frequency response models of the muscle during individual force oscillations at various control strategies in which the motor unit population of the muscle was fully recruited to obtain 50 per cent and up to 100 per cent of the maximum force, either concurrently with firing rate increase or at constant firing rate, were nearly identical. The model consisted of a second-order, linear low-pass filter with double poles at 1.85 Hz and a pure time delay of 16 ms. The model resulting from only firing rate increase from the frequency of fusion of the smallest motor unit to the maximum tetanic rate of the muscle while all the motor units were continuously active was nonlinear, and depended on the force's oscillation level. This nonlinear response of the rate coding process is also identified as the source of the increased harmonic distortion in the model where the initial 50 per cent of the force was generated by fully recruiting all the motor units, and the final 50 per cent of the force was generated by firing rate increase. We concluded that the basic frequency response model of a muscle under conditions similar to voluntary contraction consists of a linear, second-order system which is robust and independent of control strategy and force perturbation level.

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Year:  1989        PMID: 2601461     DOI: 10.1007/bf02441424

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  29 in total

1.  FUNCTIONAL SIGNIFICANCE OF CELL SIZE IN SPINAL MOTONEURONS.

Authors:  E HENNEMAN; G SOMJEN; D O CARPENTER
Journal:  J Neurophysiol       Date:  1965-05       Impact factor: 2.714

2.  The relation between force and velocity in human muscle.

Authors:  D R WILKIE
Journal:  J Physiol       Date:  1949-12       Impact factor: 5.182

3.  Oscillation of the human ankle joint in response to applied sinusoidal torque on the foot.

Authors:  G C Agarwal; G L Gottlieb
Journal:  J Physiol       Date:  1977-06       Impact factor: 5.182

4.  The EMG-force model of electrically stimulated muscles: dependence on control strategy and predominant fiber composition.

Authors:  M Solomonow; R Baratta; B H Zhou; H Shoji; R D D'Ambrosia
Journal:  IEEE Trans Biomed Eng       Date:  1987-09       Impact factor: 4.538

5.  Manipulation of muscle force with various firing rate and recruitment control strategies.

Authors:  B H Zhou; R Baratta; M Solomonow
Journal:  IEEE Trans Biomed Eng       Date:  1987-02       Impact factor: 4.538

6.  Characteristics of the isometric twitch of skeletal muscle immediately after a tetanus. A study of the influence of the distribution of calcium within the sarcoplasmic reticulum on the twitch.

Authors:  R Connolly; W Gough; S Winegrad
Journal:  J Gen Physiol       Date:  1971-06       Impact factor: 4.086

7.  Control of muscle contractile force through indirect high-frequency stimulation.

Authors:  M Solomonow; E Eldred; J Lyman; J Foster
Journal:  Am J Phys Med       Date:  1983-04

8.  Control scheme governing concurrently active human motor units during voluntary contractions.

Authors:  C J De Luca; R S LeFever; M P McCue; A P Xenakis
Journal:  J Physiol       Date:  1982-08       Impact factor: 5.182

9.  Behaviour of human motor units in different muscles during linearly varying contractions.

Authors:  C J De Luca; R S LeFever; M P McCue; A P Xenakis
Journal:  J Physiol       Date:  1982-08       Impact factor: 5.182

10.  Effect of pentobarbital on contractility of mouse skeletal muscle.

Authors:  R G Taylor; R T Abresch; J S Lieberman; W M Fowler; M M Portwood
Journal:  Exp Neurol       Date:  1984-02       Impact factor: 5.330

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  8 in total

1.  Predicting human chronically paralyzed muscle force: a comparison of three mathematical models.

Authors:  Laura A Frey Law; Richard K Shields
Journal:  J Appl Physiol (1985)       Date:  2005-11-23

2.  Force-velocity relations of nine load-moving skeletal muscles.

Authors:  R V Baratta; M Solomonow; R Best; M Zembo; R D'Ambrosia
Journal:  Med Biol Eng Comput       Date:  1995-07       Impact factor: 2.602

3.  Current status of walking orthoses for thoracic paraplegics.

Authors:  R D'Ambrosia; M Solomonow; R V Baratta
Journal:  Iowa Orthop J       Date:  1995

4.  Isotonic length/force models of nine different skeletal muscles.

Authors:  R V Baratta; M Solomonow; R Best; R D'Ambrosia
Journal:  Med Biol Eng Comput       Date:  1993-09       Impact factor: 2.602

5.  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

6.  Dynamic performance of three different load-moving muscles.

Authors:  K Roeleveld; R Baratta; M Solomonow
Journal:  Med Biol Eng Comput       Date:  1994-07       Impact factor: 2.602

7.  On/off control in FES-induced standing up: a model study and experiments.

Authors:  A J Mulder; P H Veltink; H B Boom
Journal:  Med Biol Eng Comput       Date:  1992-03       Impact factor: 2.602

8.  Mathematical models use varying parameter strategies to represent paralyzed muscle force properties: a sensitivity analysis.

Authors:  Laura A Frey Law; Richard K Shields
Journal:  J Neuroeng Rehabil       Date:  2005-05-31       Impact factor: 4.262

  8 in total

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