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Sisällön tarjoaa Athletica. Athletica tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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From Lab to Athlete: Optimizing Training with Dr. Andrea Zignoli

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Manage episode 445760972 series 3532657
Sisällön tarjoaa Athletica. Athletica tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

In this episode of The Athletes Compass, Dr. Andrea Zignoli, data scientist at Athletica, digs into the science behind the Workout Reserve, a revolutionary tool that aids athletes like Marjaana Rakai in performing at their best. Dr. Zignoli shares the story behind its development, how it calculates an athlete’s effort relative to their previous bests, and how athletes can use this data to optimize training and race pacing. The team also discusses its successful application in both professional cycling and Ironman competitions, showing how this AI-driven tool supports athletes in avoiding burnout and achieving personal records.

Key Takeaways:

  • Workout Reserve: Helps athletes measure current effort against their best historical performances, guiding optimal training and race pacing.
  • Critical Power: Key metric for determining thresholds and training intensities in endurance sports.
  • Real-time pacing: Athletes can use the Workout Reserve in real time on Garmin devices to manage exertion levels and avoid overexertion.
  • Real-world impact: Featured in Marjaana Rakai’s Ironman World Championship preparation and applied in elite cycling races like the Giro d'Italia.
  • AI-driven personalization: Adjusts to each athlete’s physiological characteristics and helps coaches focus more on strategy and athlete interaction.
  • Versatility: The tool's potential to expand to other sports beyond running and cycling, such as rowing, is actively being explored.


  continue reading

49 jaksoa

Artwork
iconJaa
 
Manage episode 445760972 series 3532657
Sisällön tarjoaa Athletica. Athletica tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

In this episode of The Athletes Compass, Dr. Andrea Zignoli, data scientist at Athletica, digs into the science behind the Workout Reserve, a revolutionary tool that aids athletes like Marjaana Rakai in performing at their best. Dr. Zignoli shares the story behind its development, how it calculates an athlete’s effort relative to their previous bests, and how athletes can use this data to optimize training and race pacing. The team also discusses its successful application in both professional cycling and Ironman competitions, showing how this AI-driven tool supports athletes in avoiding burnout and achieving personal records.

Key Takeaways:

  • Workout Reserve: Helps athletes measure current effort against their best historical performances, guiding optimal training and race pacing.
  • Critical Power: Key metric for determining thresholds and training intensities in endurance sports.
  • Real-time pacing: Athletes can use the Workout Reserve in real time on Garmin devices to manage exertion levels and avoid overexertion.
  • Real-world impact: Featured in Marjaana Rakai’s Ironman World Championship preparation and applied in elite cycling races like the Giro d'Italia.
  • AI-driven personalization: Adjusts to each athlete’s physiological characteristics and helps coaches focus more on strategy and athlete interaction.
  • Versatility: The tool's potential to expand to other sports beyond running and cycling, such as rowing, is actively being explored.


  continue reading

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