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.
When it comes to excelling in endurance sports such as triathlon, running or cycling proper nutrition plays a crucial role in maximizing your performance and achieving your goals. Whether you're swimming, cycling, or running, your body requires optimal fuel to meet the energy demands of these activities. In this blog post, we'll explore the importance of nutrition in triathlon, running, and cycling, followed by an introduction to the new feature of AI Endurance which provides recommendations for daily and activity specific nutrition requirements individualized for each athlete.
Use Zwift running workouts to increase your running pace with a data-driven, personalized and predictive Zwift running training plan from AI Endurance.
DFA (detrended fluctuation analysis) alpha 1 is an HRV (heart rate variability) based aerobic and anaerobic threshold estimation method. It only requires a heart rate monitor that tracks HRV data. It has the potential to track your thresholds automatically without dedicated test workouts.
by Markus Rummel. DDFA (Dynamical Detrended Fluctuation Analysis) is a new method to analyze the changes in your HRV data during exercise. It is an evolution of the DFA analysis based on the research in [1, 2] used by AI Endurance.
