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The New Power-Duration Model in WKO4 November 26, 2013 | Andrew R. Coggan, Ph.D.

The New Power-Duration Model in WKO4 November 26, 2013 | Andrew R. Coggan, Ph.D. The $64,000 question. Why attempt to mathematically model the power-duration relationship?. The $64,000 answer.

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The New Power-Duration Model in WKO4 November 26, 2013 | Andrew R. Coggan, Ph.D.

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  1. The New Power-Duration Model in WKO4 November 26, 2013 | Andrew R. Coggan, Ph.D.

  2. The $64,000 question Why attempt to mathematically model the power-duration relationship?

  3. The $64,000 answer Because having a robust mathematical description of an individual’s power-duration relationship provides quantitative insight re. their unique abilities and paves the way for other analyses.

  4. Importance of new power-duration model

  5. Uses for the power-duration model • Auto FTP • Pmax • FRC • dFRC • Phenotyping • Individual adaptations scores • Auto match finding • Identification of outliers • Optimal pacing strategy • Application to other sports

  6. Definitions of terms • Pmax – the maximal power that can be generated for a very short period of time. Units are W or W/kg. • Functional reserve capacity (FRC) – the total amount of work that can be done during continuous exercise above FTP before fatigue occurs. Units are kJ or J/kg. • Functional threshold power (FTP) – the highest power that can be sustained in a quasi-steady-state for a prolonged period of time. Units are W or W/kg

  7. Uses for the power-duration model • Auto FTP • Pmax • FRC • dFRC • Phenotyping • Individual adaptations scores • Auto match finding • Identification of outliers • Optimal pacing strategy • Application to other sports

  8. 1. Automatic estimation of FTP

  9. Auto-estimation of FTP

  10. Auto-FTP vs. 95% of best 20 min power

  11. 2. Calculation of Pmax

  12. Pmax vs. 1 s power

  13. 3. Calculation of FRC

  14. Benefits of the critical power model “. . . the critical power concept is useful for two reasons. One, it provides a very good conceptual framework for understanding the most basic factors determining exercise performance/power output (i.e., anaerobic and aerobic energy production), and how the contribution of each varies as a function of time. Two, actually measuring critical power and W’ is well within the capacity of anyone who owns a power meter (and understands a little bit about math), and thus provides a means of quantifying changes in fitness beyond just even "I was able to sustain X watts for Y seconds.” - Yours truly, post to the wattage list on 2/11/2002

  15. Changes in FRC across seasons

  16. Changes in FRC across seasons

  17. Changes in FRC within a season

  18. Power-duration history chart in WKO4

  19. 4. Dynamic FRC

  20. The origins of dFRC: modeling team pursuit

  21. Origins of dFRC: modeling other events

  22. Example of dFRC modeling: track racing

  23. Example of dFRC modeling: track racing

  24. Example of dFRC modeling: intervals

  25. Example of dFRC modeling: intervals

  26. Example of dFRC modeling: intervals

  27. Example of dFRC modeling: hillclimb TT

  28. Example of dFRC modeling: criterium

  29. Example of dFRC modeling: intervals

  30. 5. Phenotyping

  31. Phenotyping in WKO4 • The objective classification of a cyclist as a “sprinter”, “pursuiter”, “all-rounder”, or “TTer” based on quantitative analysis of the shape of their individual power-duration relationship.

  32. Evolution of rider phenotyping

  33. Automatic rider phenotyping in WKO4

  34. Phenotype map

  35. Automatic rider phenotyping in WKO4

  36. Power-duration standards in WKO4

  37. 6. Individual adaptation scores

  38. Modeling adaption instead of stress/strain “(That is why) it is TSS (training stress score) and not TPS (training performance score).” – Yours truly, post to the the wattage list on 4/30/2005 “XXXX had it right when he indicated that TSS is merely a measure of the overall training load/stress, and in and of itself is *not* a predictor of (aerobic) performance. At least in theory, it is possible to derive a metric that would more directly predict, e.g., changes in functional threshold power, but this would entail more than just ignoring the additional strain resulting from very high intensity exercise . . . it would require discounting that strain relative to that encountered at lower intensities.” – Yours truly, post to the the wattage list on 9/26/2005

  39. Response Stimulus System Performance Training load Athlete (↑ or ↓) (“dose”) Relationship between training and performance (strain) (stress)

  40. 7. Automatic match finding

  41. What is a “match”?

  42. Example of automatic match identification

  43. 8. Identification of outliers

  44. Identification of outliers

  45. Variability of human performance

  46. 9. Calculation of optimal pacing strategy

  47. Analysis of TT pacing strategy - 2003 Where I lost!!

  48. Optimal pacing strategy - 2006 national TT

  49. 10. Application to other sports

  50. Application of the model to running

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