How to track and adjust your Zone 2 training with wearable tech



rbtmcardle

New Member
Apr 22, 2006
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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?
 
Ha! As if any of us have got the time or energy to fiddle around with all those variables while trying to squeeze in a ride 🚴♂️💨

In my experience, most folks just wing it with their wearables, hoping for the best. And let's be real, when has lactate threshold testing ever been "fun" or "convenient"? 🤔

As for ditching old-school methods for wearables, good luck convincing the cycling purists 🧐. They'd rather calculate their own zones by hand, covered in sweat and dirt, than trust some gadget to do it for them.

But hey, if it works for you and keeps you pedaling, more power to ya! 🔋🚴♂️