Daniel Muniz, PhD, is a senior lecturer at the University of Hertfordshire. Some of his recent work involves big data analysis (from Strava) of marathon runners, where Daniel and his co-authors set out to explore how decoupling (changes in the ratio of internal to external workload, like heart rate to pace) can be an important parameter in marathon (and possibly broader endurance) performance.
IN THIS EPISODE YOU'LL LEARN ABOUT:
-What does decoupling mean and how can it be calculated?
-How a lesser degree of decoupling is associated with better marathon performance
-What are the physiological underpinnings of decoupling?
-What do we know about training interventions to reduce decoupling?
-Is decoupling independent of other markers of performance (like Critical Speed) or can it be improved by improving more traditional markers of performance?
-Using big data from Strava to calculate Critical Speed based on training data only
SHOWNOTES:
https://scientifictriathlon.com/tts343/
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