🔒
Academy requires Premium
Unlock advanced analytics, coaching tools, and more with Gradescale.
- Science-backed training metrics
- Personalized performance insights
- Cancel any time
Reading the Power-HR Scatter
Mathematical and visual reference for the Power-HR Scatter Chart, the per-second scatter of cycling power vs heart rate within a session, used to characterise the linear coupling between external work and internal cardiovascular response and to detect the within-session decoupling that signals fatigue, heat load, or dehydration. Documents the linear-regression fit conventions, the Aerobic Decoupling percentage derived from first-half vs second-half slope comparison, the standard drift patterns, and the boundary conditions where HR-power scatter misleads.
Mathematical and visual reference for the Power-HR Scatter Chart, the per-second scatter of cycling power vs heart rate within a session, used to characterise the linear coupling between external work and internal cardiovascular response and to detect the within-session decoupling that signals fatigue, heat load, or dehydration. Documents the linear-regression fit conventions, the Aerobic Decoupling percentage derived from first-half vs second-half slope comparison, the standard drift patterns, and the boundary conditions where HR-power scatter misleads.
References
- Poole DC, Burnley M, Vanhatalo A, Rossiter HB, Jones AM (2016). Critical Power: an important fatigue threshold in exercise physiology. Med Sci Sports Exerc 48:2320-2334. doi: 10.1249/MSS.0000000000000939 · PMID 27031742
- Plews DJ, Laursen PB, Stanley J, Kilding AE, Buchheit M (2013). Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Med 43:773-781. doi: 10.1007/s40279-013-0071-8 · PMID 23852425
- Buchheit M (2014). Monitoring training status with HR measures: do all roads lead to Rome? Front Physiol 5:73. doi: 10.3389/fphys.2014.00073 · PMID 24578692
- Halson SL (2014). Monitoring training load to understand fatigue in athletes. Sports Med 44 Suppl 2:S139-S147. doi: 10.1007/s40279-014-0253-z · PMID 25200666
- Bourdon PC, Cardinale M, Murray A, et al. (2017). Monitoring athlete training loads: consensus statement. Int J Sports Physiol Perform 12 Suppl 2:S2161-S2170. doi: 10.1123/IJSPP.2017-0208 · PMID 28463642