Literature DB >> 30182186

A phenomenological model of the time course of maximal voluntary isometric contraction force for optimization of complex loading schemes.

Johannes L Herold1, Christian Kirches2, Johannes P Schlöder3.   

Abstract

PURPOSE: The time course of maximal voluntary isometric contraction (MVIC) force is of particular interest whenever force capacities are a limiting factor, e.g., during heavy manual work or resistance training (RT) sessions. The objective of this work was to develop a mathematical model of this time course that is suitable for optimization of complex loading schemes.
MATERIALS AND METHODS: We compiled a literature overview of existing models and justified the need for a new model. We then constructed a phenomenological ordinary differential equation model to describe the time course of MVIC force during voluntary isometric contractions and at rest. We validated the model with a comprehensive set of published data from the elbow flexors. For this, we estimated parameters from a subset of the available data and used those estimates to predict the remaining data. Afterwards, we illustrated the benefits of our model using the calibrated model to (1) analyze fatigue and recovery patterns observed in the literature (2) compute a work-rest schedule that minimizes fatigue (3) determine an isometric RT session that maximizes training volume.
RESULTS: We demonstrated that our model (1) is able to describe MVIC force under complex loading schemes (2) can be used to analyze fatigue and recovery patterns observed in the literature (3) can be used to optimize complex loading schemes.
CONCLUSIONS: We developed a mathematical model of the time course of MVIC force that can be efficiently employed to optimize complex loading schemes. This enables an optimal use of MVIC force capacities.

Entities:  

Keywords:  Mathematical model; Maximal voluntary isometric contraction force; Muscle fatigue; Optimization; Resistance training

Mesh:

Year:  2018        PMID: 30182186     DOI: 10.1007/s00421-018-3983-z

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  59 in total

1.  Altered responses of human elbow flexors to peripheral-nerve and cortical stimulation during a sustained maximal voluntary contraction.

Authors:  J L Taylor; J E Butler; S C Gandevia
Journal:  Exp Brain Res       Date:  1999-07       Impact factor: 1.972

2.  Generalization of a model based on biophysical concepts of muscle activation, fatigue and recovery that explains exercise performance.

Authors:  B Sih; L Ng; J Stuhmiller
Journal:  Int J Sports Med       Date:  2012-03-08       Impact factor: 3.118

3.  Core stability measures as risk factors for lower extremity injury in athletes.

Authors:  Darin T Leetun; Mary Lloyd Ireland; John D Willson; Bryon T Ballantyne; Irene McClay Davis
Journal:  Med Sci Sports Exerc       Date:  2004-06       Impact factor: 5.411

4.  Contraction velocity influence the magnitude and etiology of neuromuscular fatigue during repeated maximal contractions.

Authors:  B Morel; M Clémençon; S Rota; G Y Millet; D J Bishop; O Brosseau; D M Rouffet; C A Hautier
Journal:  Scand J Med Sci Sports       Date:  2014-12-30       Impact factor: 4.221

5.  A bioenergetic model for simulating athletic performance of intermediate duration.

Authors:  Gilbert Gede; Mont Hubbard
Journal:  J Biomech       Date:  2014-09-28       Impact factor: 2.712

6.  Biomechanical model of the human knee evaluated by neuromuscular stimulation.

Authors:  R Riener; J Quintern; G Schmidt
Journal:  J Biomech       Date:  1996-09       Impact factor: 2.712

7.  Reflex origin for the slowing of motoneurone firing rates in fatigue of human voluntary contractions.

Authors:  B R Bigland-Ritchie; N J Dawson; R S Johansson; O C Lippold
Journal:  J Physiol       Date:  1986-10       Impact factor: 5.182

Review 8.  Spinal and supraspinal factors in human muscle fatigue.

Authors:  S C Gandevia
Journal:  Physiol Rev       Date:  2001-10       Impact factor: 37.312

9.  Fatigue influences the dynamic stability of the torso.

Authors:  K P Granata; P Gottipati
Journal:  Ergonomics       Date:  2008-08       Impact factor: 2.778

Review 10.  Endurance time is joint-specific: a modelling and meta-analysis investigation.

Authors:  Laura A Frey Law; Keith G Avin
Journal:  Ergonomics       Date:  2010-01       Impact factor: 2.778

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  2 in total

1.  A model-based estimation of critical torques reduces the experimental effort compared to conventional testing.

Authors:  Johannes L Herold; Andreas Sommer
Journal:  Eur J Appl Physiol       Date:  2020-04-10       Impact factor: 3.078

2.  The impact of submaximal fatiguing exercises on the ability to generate and sustain the maximal voluntary contraction.

Authors:  Loïc Lebesque; Gil Scaglioni; Alain Martin
Journal:  Front Physiol       Date:  2022-09-02       Impact factor: 4.755

  2 in total

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