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Goldencheetah real time power1/6/2024 The simulation revealed impossible sessions (i.e., requiring athletes to surpass their maximal power output over the exercise interval duration), characterized by a few short exercise intervals, performed in the severe and extreme intensity domains, alternating with long recovery bouts. We simulated 6198 different HIIT training sessions leading to exhaustion, according to the Skiba and Coggan-Modified (modification of the Coggan model with the introduction of an exhaustion criterion) models, for three fictitious athlete profiles (Time-Trialist, All-Rounder, Sprinter). This study aims to highlight and explain, through logical deductions, some limitations of the Skiba and Coggan models, widely used to prescribe HIIT sessions in cycling. Many parameters can impact the difficulty of HIIT sessions. High-Intensity Interval Training (HIIT) is a time-efficient training method suggested to improve health and fitness for the clinical population, healthy subjects, and athletes. Structured field testing should be included to obtain an accurate fingerprint of a cyclist’s power profile. Power-duration parameter estimates can be derived from the 2 parameter linear or non-linear critical power model: P ( t ) = W ′/ t + CP ( W ′-work capacity above CP t -time). It is also recommended to avoid single effort prediction trials, such as functional threshold power. ![]() set number of prediction trials, inter-trial recovery, road gradient and data analysis). It is recommended that field testing should always be conducted in accordance with pre-established guidelines from the existing literature (e.g. Deriving the parameters of power-duration modelling suggests how these measures can be obtained from laboratory and field testing, including criteria for ensuring a high ecological validity (e.g. Combining laboratory and field testing discusses how traditional laboratory and field testing can be combined to inform and individualize the power profiling approach. Moreover, the deriving a power-duration relationship section presents existing concepts of power-duration models alongside exercise intensity domains. The authors elaborate on measuring power output followed by an outline of the methodological approaches to power profiling. This review aimed to critically reflect on power profiling strategies in association with the power-duration relationship in cycling, to provide an updated view for applied researchers and practitioners. ![]() Emerging trends in technological innovations, data analysis and practical applications have facilitated the measurement of cycling power output in the field, leading to improvements in training prescription, performance testing and race analysis.
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