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Quantitative triathlonMaking Recreation Productive
My Background BS, Computer Engineering
 MS, Computer Science
 7 years embedded systems work
 5 years CDMA phones
 12 years embedded/desktop LinuxMy Background BS, Computer Engineering
 MS, Computer Science
 7 years embedded systems work
 5 years CDMA phones
 12 years embedded/desktop LinuxNot an athlete! Never run more than 3 miles
 Not run in 5 years
 Never learned to swim
 Owned a very dusty bicycleIronmanHow am I going to do this?!

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Quantitative triathlon

  • 2. My Background BS, Computer Engineering
  • 4. 7 years embedded systems work
  • 5. 5 years CDMA phones
  • 6. 12 years embedded/desktop LinuxMy Background BS, Computer Engineering
  • 8. 7 years embedded systems work
  • 9. 5 years CDMA phones
  • 10. 12 years embedded/desktop LinuxNot an athlete! Never run more than 3 miles
  • 11. Not run in 5 years
  • 12. Never learned to swim
  • 13. Owned a very dusty bicycleIronmanHow am I going to do this?!
  • 14. Two Approaches to trainingTraditionalTechnicalSwim a lotBike a lotRun a lotSwim tech: Limited GPSLimited Heart RateBike tech:HR MonitorGPSPower MeterRun tech:HR MonitorGPSFoot pod (Nike+)
  • 15. Six Sigma – Belts Earned, Lessons LearnedI worked for both Motorola (creator) and General Electric (largest user)You must quantify and measure a parameter in order to control itSix Sigma is mostly worthless
  • 16. Important Parameters for CyclingSpeed Most important! Improvement here is the goalDifficult to improve by itself, combination of lots of factors, both internal and externalPower to Weight ratio (Strength to Weight)Most accurate predictor of cycling performanceMeasured in Watts/KgLactate Threshold Power (FTP, CP30)Directly measured output of your bodyLactate Threshold Heart RateDirectly measured reaction of your body
  • 18. 2010 Average CP30 (30 Min Critical Power)CP30 is a very good approximation of Functional Threshold Power (FTP)
  • 19. Heart RateI don’t track my Lactate Threshold HR very closelyI use HR as a guideline for when I don’t feel good – it’s a backup for my power meter.Mean Maximal HR, 2010 Running
  • 22. SummaryMost Athletes don’t own power meters, too expensiveThose that do typically don’t know how to analyze the dataThis gives me an advantage, even over those who are more talented than I amBy quantifying my performance, I am better able to identify effective training practiceschris.teague@gmail.comhttp://breakneckgeek.blogspot.com/