by Markus Rummel. Respiration frequency (RF) is one of the more underused metrics in endurance training. Power, pace and heart rate usually dominate the conversation, but breathing rate adds something different. It responds quickly to changing workload, tracks perceived exertion well, and sits close to the physiology around ventilatory thresholds [1].
by Markus Rummel. At AI Endurance, your optimized training plan has always been built on data — not guesswork. We start by crunching the numbers: analyzing your recovery, availability, and long-term progression to create an efficient, evidence-based plan.
Follow AI Endurance athlete Grant Paling as he shares his journey and insights into the world of endurance sports. A real live example of training with AI.
by Markus Rummel. We present the first results of AI Endurance's new capability to calculate Respiration Frequency (RF) from in-activity heart rate variability (HRV) data. RF demonstrates its potential in assessing the validity of HRV threshold determination.
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.
by Stefano Andriolo, Markus Rummel and Iñigo Tolosa. We present a new real time feature of evaluating readiness to train based on in-activity heart rate variability (HRV) measurements during the warm up of your activity. You can use this feature in the newest version of the alphaHRV Garmin Connect IQ app at no additional cost.
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.
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.
AI Endurance is a data-driven training platform. In order to maximally benefit from the training and have the program be most personalized to you, you'll want the best possible data to flow into the platform. Here's a few recommendations on how to achieve this.
Essential training tips and techniques for endurance athletes. A collection of articles from the blog.
Apple Watch has been a popular choice in running and triathlon. You can now track and execute your AI Endurance custom running, cycling and swimming workouts on your Apple Watch.
When it comes to triathlon training, nutrition plays a vital role in fueling your performance and optimizing your results. To help you reach peak performance, we have developed an advanced AI meal plan that takes into account your unique requirements, respects the calorie cost of your workouts, and accommodates your dietary preferences. With the power of evidence-based nutrition models, we ensure that your triathlon meal plan is tailored to support your goals.
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.
We explain how AI Endurance uses ChatGPT to help guide your triathlon, running and cycling training.
Before every workout you should know if you're actually ready for it. Everyone responds differently to stress, bad sleep and exercise fatigue - our new recovery model makes data driven decisions about when you should train and when you shouldn't - based on heart rate variability (HRV).
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.
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.
Power meters are costly and we often can't afford one on every bike we own. AI Endurance calculates cycling power from activities without a power meter using heart rate, cadence and DFA alpha 1. The results are generally more accurate than speed based estimates such as Strava's estimated power. All you need is a heart rate monitor and ideally a cadence sensor on your bike and AI Endurance will estimate your power for every ride.
Daily readiness to train is affected by many factors including sleep, illness and training load. Heart rate variability (HRV) readiness to train metrics typically rely on measurements taken immediately upon waking in the morning. We introduce an HRV readiness to train and a durability metric based on DFA alpha 1 (a1) measurements taken during exercise. These new metrics provide additional insights and do not require you to measure HRV upon waking.
Get your AI Endurance best training plan into TrainingPeaks. From there, you can execute your TrainingPeaks workouts in Zwift and many other apps. Connect your AI Endurance account once and any changes will automatically be synced with TrainingPeaks.
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.
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.
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.
Use Zwift custom workouts to grow your FTP with a data-driven, personalized Zwift custom training plan from AI Endurance.
Use Zwift running workouts to increase your running pace with a data-driven, personalized and predictive Zwift running training plan from AI Endurance.
Execute your AI Endurance personalized training plan directly from your Garmin watch or bike computer. No more writing down workouts or remembering interval sets. Get step-by-step instructions as Garmin custom workouts and a Garmin Connect training plan with only a few clicks.
We recap the results of following AI Endurance’s cycling training plan that saw our FTP grow according to AI Endurance’s predictions, following the instructions on how to improve FTP.
In this post, we give a short introduction to the running training zones and cycling training zones we use to structure your training. We use 5 training zones defined by pace for running activities and by power for cycling activities. AI Endurance calculates these zones for you individually based on your past training data.
AI has great potential to help us as endurance athletes improve our training. In this post we will discuss how AI endurance training works.
