Literature DB >> 12052394

Modeling the length dependence of isometric force in human quadriceps muscles.

Ramu Perumal1, Anthony S Wexler, Jun Ding, Stuart A Binder-Macleod.   

Abstract

Functional electrical stimulation is used to restore movement and function of paralyzed muscles by activating skeletal muscle artificially. An accurate and predictive mathematical model can facilitate the design of stimulation patterns that produce the desired force. The present study is a first step in developing a mathematical model for non-isometric muscle contractions. The goals of this study were to: (1) identify how our isometric force model's parameters vary with changes in knee joint angle, (2) identify the best knee flexion angle to parameterize this model, and (3) validate the model by comparing experimental data to predictions in response to a wide range of stimulation frequencies and muscle lengths. Results showed that by parabolically varying one of the free parameters with knee joint angle and fixing the other parameters at the values identified at 40 degrees of knee flexion, the model could predict the force responses to a wide range of stimulation frequencies and patterns at different muscle lengths. This work showed that the current isometric force model is capable of predicting the changes in skeletal muscle force at different muscle lengths.

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Year:  2002        PMID: 12052394     DOI: 10.1016/s0021-9290(02)00049-0

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  A prototype rehabilitation device with variable resistance and joint motion control.

Authors:  Shufang Dong; Ke-Qian Lu; J Q Sun; Katherine Rudolph
Journal:  Med Eng Phys       Date:  2005-08-19       Impact factor: 2.242

2.  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

3.  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

4.  Development of a mathematical model for predicting electrically elicited quadriceps femoris muscle forces during isovelocity knee joint motion.

Authors:  Ramu Perumal; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2008-12-10       Impact factor: 4.262

5.  Predicting non-isometric fatigue induced by electrical stimulation pulse trains as a function of pulse duration.

Authors:  M Susan Marion; Anthony S Wexler; Maury L Hull
Journal:  J Neuroeng Rehabil       Date:  2013-02-02       Impact factor: 4.262

6.  Predicting muscle forces of individuals with hemiparesis following stroke.

Authors:  Trisha M Kesar; Jun Ding; Anthony S Wexler; Ramu Perumal; Ryan Maladen; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2008-02-27       Impact factor: 4.262

  6 in total

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