Whats the most effective way to individualize heart rate zone calibration in Zwift workouts, considering the inherent variability in heart rate response to exercise among athletes, and how can we move beyond the traditional 5-zone lactate threshold model to create more nuanced and personalized training plans?
Shouldnt we be factoring in other physiological metrics like muscle oxygenation, ventilation, and anaerobic capacity to create a more comprehensive understanding of an athletes cardiovascular fitness and fatigue levels, rather than relying solely on heart rate data?
How can we account for the impact of environmental factors like temperature, humidity, and air quality on heart rate response, and what role do you think machine learning and AI can play in developing more sophisticated and adaptive heart rate zone models that can adjust to an athletes changing physiology over time?
Is there a risk that over-reliance on heart rate zones can lead to a one-size-fits-all approach to training, neglecting the importance of individualized coaching and the complex interplay between physiological, psychological, and environmental factors that influence an athletes performance, and if so, how can we strike a balance between the benefits of data-driven training and the need for a more holistic approach to coaching?
Shouldnt we be factoring in other physiological metrics like muscle oxygenation, ventilation, and anaerobic capacity to create a more comprehensive understanding of an athletes cardiovascular fitness and fatigue levels, rather than relying solely on heart rate data?
How can we account for the impact of environmental factors like temperature, humidity, and air quality on heart rate response, and what role do you think machine learning and AI can play in developing more sophisticated and adaptive heart rate zone models that can adjust to an athletes changing physiology over time?
Is there a risk that over-reliance on heart rate zones can lead to a one-size-fits-all approach to training, neglecting the importance of individualized coaching and the complex interplay between physiological, psychological, and environmental factors that influence an athletes performance, and if so, how can we strike a balance between the benefits of data-driven training and the need for a more holistic approach to coaching?