Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon

Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon

PurposeThis study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how KDE plots, alongside traditional training metrics, might provide a more detailed understanding of hear...

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Bibliographic Details
Main Authors: Craig A. Staunton, Andreas Kårström, Hannes Kock, Marko S. Laaksonen, Glenn Björklund
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Sports and Active Living
Subjects:
big data
data science
density estimation
heart rate
Nordic skiing
training load
Online Access:https://www.frontiersin.org/articles/10.3389/fspor.2025.1546909/full
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