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.
With AI Endurance, you have the option to integrate overnight heart rate and HRV data into your training routine. We automatically monitor and adapt your training program via a personalized recovery based on your data. To get your overnight heart rate and HRV data into AI Endurance you have the following options:
You can find more information in the AI Endurance FAQ, in the AI Endurance Reddit, or in the AI Endurance user's Facebook group.
An alternative way to gain insights from your AI Endurance data is the AI Endurance GPT.
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.
Stay on top of your goals and support our local businesses and charities at the same time. A virtual cycling challenge that comes as close to a race as possible now that social distancing is crucial in slowing down the spread of COVID-19.
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 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.