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Category

Modelling / Simulation

Document Type

Paper

Abstract

This study explores the relationships among various velocity parameters and the maximum number of repetitions in a set (XRM). Specifically, the predictive power of the concentric phase duration (Tconc) and other velocity parameters, such as the peak velocity, are examined against the conventional average concentric velocity (ACV) approach. Using a preliminary dataset, various models are developed in this study to predict the maximum number of repetitions performed in a set. The findings indicate that Tconc significantly predicts repetitions with the adjusted model (R²: 0.37, standard error of estimate (SEE): 2.98), outperforming the ACV model (R²: 0.14, SEE: 3.46). However, because of the limitations of its small sample size and the absence of a test group, the study's models necessitate further validation. The results highlight the potential of assessing and analyzing the features of the velocity curve and lay the groundwork for larger, more diverse studies to validate and build upon these initial findings. This research advocates for a more in-depth examination of velocity curves, which could lead to more effective and safer training methodologies.

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