What methods do you use to accurately calibrate and adjust your wearable tech devices to ensure precise tracking of your Zone 2 training, particularly when factoring in variables such as changing atmospheric conditions, fatigue, and different bike and wheel combinations, and how do you account for potential discrepancies in heart rate data versus power output data in your training analysis?
Do you find that using a lactate threshold test or a functional threshold power test to establish your individual Zone 2 boundaries provides a more accurate basis for wearable tech calibration, or do you rely on other methods to determine your training zones?
How do you adjust your wearable tech devices to account for the potential impact of different gearing and cadence combinations on your heart rate and power output data during Zone 2 training, and what role do you think machine learning algorithms and advanced data analytics play in improving the accuracy and reliability of wearable tech-based training data?
Do you think that wearable tech devices can effectively replace traditional methods of training zone calibration, such as laboratory-based testing and manual calculations, or do you believe that a combination of both approaches is necessary to achieve optimal accuracy and training effectiveness?
Do you find that using a lactate threshold test or a functional threshold power test to establish your individual Zone 2 boundaries provides a more accurate basis for wearable tech calibration, or do you rely on other methods to determine your training zones?
How do you adjust your wearable tech devices to account for the potential impact of different gearing and cadence combinations on your heart rate and power output data during Zone 2 training, and what role do you think machine learning algorithms and advanced data analytics play in improving the accuracy and reliability of wearable tech-based training data?
Do you think that wearable tech devices can effectively replace traditional methods of training zone calibration, such as laboratory-based testing and manual calculations, or do you believe that a combination of both approaches is necessary to achieve optimal accuracy and training effectiveness?