ArticleEuropean journal of applied physiology2018
A phenomenological model of the time course of maximal voluntary isometric contraction force for optimization of complex loading schemes.
Article in European journal of applied physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The impact of submaximal fatiguing exercises on the ability to generate and sustain the maximal voluntary contraction.Frontiers in physiology · 2022Article
- A model-based estimation of critical torques reduces the experimental effort compared to conventional testing.European journal of applied physiology · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
purposeThe 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
methodsWe 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.
resultsWe 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.
conclusionsWe 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.
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Registered trials
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