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/
SCIENTIFIC TRIATHLON AND THAT TRIATHLON SHOW WEBPAGE:
www.scientifictriathlon.com/podcast/
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LINKS AND RESOURCES:
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CONTACT:
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Melanie McQuaid | EP#430
Bex Milnes | EP#429
Tomasz Kowalski | EP#428
Rune Kjøsen Talsnes, PhD | EP#427
Björn Geesmann | EP#426
James Spragg, PhD | EP#425
Jacob Tipper | EP#424
Announcement: Looking for a coach to join the Scientific Triathlon team
Marinus Petersen | EP#423
Q&A (supersized holiday edition) | EP#422
Craig Kirkwood | EP#421
Jem Arnold | EP#420
Q&A about training, coaching and science | EP#419
Q&A about off-season training | EP#418
Dan Lorang | EP#417
David Tilbury-Davis | EP#416
Josephine Perry, PhD | EP#415
David Lipman | EP#414
Parker Spencer | EP#413
Torben Rokkedal Lausch | EP#412
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