Published Dec 3, 2021 · Updated Dec 6, 2021
If you do not want to use Zwift or other virtual platforms, you can simply execute your AI Endurance cycling workouts by letting your Garmin control your smart trainer. For example, let your Garmin Edge 530 or Forerunner 945 control your Wahoo Kickr trainer. All smart trainers supporting the ANT+ FE-C protocol, including Tacx, are supported.
If you do not care too much for the entertainment that virtual cycling environments such as Zwift offer and simply want to get your indoor workouts done in a productive way, this is for you. And you get to save the Zwift subscription fee as well.
Here's how you do it:
Here's a video of how to set this up for the Garmin Edge 520:
AI Endurance is a training platform that optimizes and predicts your cycling performance. You tell us how much time you have to train and we find the optimal training composition based on your training data.
To get more information on how to control your smart trainer with your Garmin device please see:
Export your AI Endurance workouts to your Garmin Connect today and connect your Garmin device with your smart trainer. This is all you need to execute your personalized training plan and grow your FTP.
by Stefano Andriolo. We demonstrate a universal relationship between cycling power and DFA alpha 1 from every day workout data that allows accessible and regular tracking of aerobic and anaerobic thresholds without the need of an exercise lab or even a dedicated testing protocol.
DFA alpha 1 is a heart rate variability (HRV) metric that allows tracking of the aerobic and anaerobic threshold. We explain the breakthrough potential of this new metric and how you can track your DFA alpha 1 thresholds with the AI Endurance app, Garmin and Zwift.
We show you in a few simple steps how to connect Suunto Guides with your AI Endurance account. You can get live workout instructions that are optimized to you by our AI. You can also easily determine your training zones and thresholds via a simple ramp test that utilizes your heart rate variability (HRV) data.
We compare polarized training, threshold training and AI optimized endurance training. AI optimized training yields the best results, followed by polarized training with threshold training in third. The results are inline with current exercise physiology research. If the training composition is not optimized to the individual athlete, substantially smaller gains are to be expected.
