The predictive model of interval time based on pacing strategy in a 400 m hurdles race

The purpose of the present study was to verify the reliability of the prediction equation for interval time (the times between hurdles) established from the hierarchical model in the 400 m hurdles. From 155 data samples of previous studies (record range: 47.42-50.99s), regression equations were established to predict each interval time throughout the race (model #1), during the first and latter halves (model #2) and during the first, middle, and last parts (model #3). Leave-one-out cross-validation was used to avoid overtraining for each regression equation. Models #2 and #3 showed better goodness of fit and generalization for each interval time compared to model #1. These hierarchical models are found to be more reliable compared to the non-hierarchical model. The hierarchical model will help to set the pace distribution to achieve the athlete`s target records accurately.
© Copyright 2023 ISBS Proceedings Archive (Michigan). Northern Michigan University. Published by International Society of Biomechanics in Sports. All rights reserved.

Bibliographic Details
Subjects:
Notations:strength and speed sports biological and medical sciences
Tagging:Strategie
Published in:ISBS Proceedings Archive (Michigan)
Language:English
Published: Milwaukee International Society of Biomechanics in Sports 2023
Online Access:https://commons.nmu.edu/isbs/vol41/iss1/55/
Volume:41
Issue:1
Pages:Article 55
Document types:congress proceedings
Level:advanced