Literature DB >> 12362412

A mathematical model that predicts the force-frequency relationship of human skeletal muscle.

Jun Ding1, Anthony S Wexler, Stuart A Binder-Macleod.   

Abstract

In previous work we developed and validated a mathematical model that predicted force output from skeletal muscles subjected to six-pulse stimulation trains under isometric condition. The current study investigated the model's ability to predict force responses to longer stimulation trains under both nonfatigued and fatigued conditions. Using the six-pulse train model to predict the force produced by longer stimulation trains showed that the model was successful, but a modified parameter identification scheme was required. For most of the trains tested the model accounted for 95% of the variance in the experimental forces produced by stimulation trains, with mean frequencies from 12.5 to 100 HZ, train durations from 485 to 1000 ms, and number of pulses from 14 to 50 for both nonfatigued and fatigued muscles. The success of our mathematical model in predicting forces produced by stimulations with a wide range of frequencies, durations, and number of pulses implies great potential of the model for the identification of optimal activation patterns that should be used during functional electrical stimulation. Copyright 2002 Wiley Periodicals, Inc. Muscle Nerve 26: 477-485, 2002

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Year:  2002        PMID: 12362412     DOI: 10.1002/mus.10198

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  17 in total

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