ArticleScandinavian journal of medicine & science in sports2026
Mathematical Comparison of Time-Based and Stroke-Based Fatigue Models in Elite Sprint Cycling: Convergence Analysis and Practical Applications.
Article in Scandinavian journal of medicine & science in sports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Time-resolved energy-share reconstruction of individual glycolytic flux kinetics reveals duration-dependent bias in elite sprint cycling.European journal of applied physiology · 2026Article
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3 authors.
Funding
Abstract
Power decline during maximal cycling sprints is commonly modeled using either the Parallel Shift Approach (PASA), representing fatigue as a time-dependent downward shift of the linear force-velocity (F-v) relationship, or the Pedal Stroke-Based Approach (PESA), which assumes a constant relative power loss per pedal stroke (Δ). This study compared their predictive accuracy, convergence behavior, and practical applicability across sprint duration and cadences. Twelve elite track sprint cyclists (6 female and 6 male) performed 45 s maximal sprints at a fixed cadence of 135 rpm. Both models were calibrated using individual F-v profiles and evaluated using RMSE and R
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