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Cadence Paradox in Cycling-Part 2: Theory and Simulation of Maximal Lactate Steady State and Carbohydrate Utilization Dependent on Cycling Cadence.

Ralph BenekeRenate M Leithäuser
Published in: International journal of sports physiology and performance (2024)
The present theory-guided modeling approach is exclusively based on data routinely measured in high-performance testing. It implies a higher performance reserve above IPMLSSv at higher RPM. Cyclists may prefer high cycling RPMs because they appear to minimize differences in the reliance on CHO at MLSSv between athletes with high versus low RPMMAX.
Keyphrases
  • high intensity
  • resistance training
  • electronic health record
  • heart rate
  • machine learning
  • artificial intelligence