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.
Synchronisation between AI Endurance and Suunto is automatic: whenever you request a new plan or modify your workouts, we will automatically forward these changes to Suunto Guides.
We import your Suunto history so our AI can learn which training has worked best for you in the past. AI Endurance predicts your future performance if you stick to your plan. We regularly assess your progress and if necessary let the AI re-calculate your optimal plan for your Suunto Guides.
Connect your Suunto to AI Endurance: Go to your Suunto App profile -> Partner Services -> Connect AI Endurance
We automatically update your zones and thresholds from your in-activity HRV data using DFA a1. Your Suunto watch automatically records your HRV data if you wear a high quality heart rate strap such as the Suunto Smart Sensor.
If you want to assess your zones and thresholds right away you can perform a simple ramp test in Suunto Guides with only a few steps:
It is important for constructive training to have your training zones set correctly. AI Endurance takes out the guesswork by continuously monitoring your training zones. By utilizing the most recent research in HRV, we can set these parameters without the need of a physiology lab. You only need to wear a heart rate strap that records high quality HRV data.
AI Endurance has a built-in race pace predictor for your running and cycling performance. In this post, we discuss how you can use it to predict your pace for your next running race or your goal power for your next cycling event.
by Grant Paling. I’m back. It’s been a few weeks and ultimately, a lot of time to process what happened. If you’ve been following my European Age Group Championship adventures, you will know that the triathlon went well. Very well. But let me give you a deeper insight into the race, the mentality I took into it and then in following blogs I’ll reflect on how that performance was achieved using AI Endurance.
by Stefano Andriolo. Building on previous work, we refine a method to accurately determine the relationship between DFA alpha 1 and power. This method can be used to track fitness and thresholds of an athlete. We find in some cases ramp detection tends to overestimate thresholds, a finding mirrored in recent physiological papers. On the other hand, thresholds based on clustering of DFA alpha 1 values tend to agree well with this new method. We propose a hybrid lab and everyday workout experiment to further study the relationship.
In this post, we explain how to use AI Endurance’s cycling training plan that we generated for Paris to Ancaster, Canada’s biggest gravel racing event. The plan includes detailed workout instructions. For indoor cycling, we show how to use AI Endurance with Trainerroad and Zwift.
