We’ve released HR Derived Metrics which establishes patterns in your HR, power and cadence data to determine your Xert metrics from HR data. We have new features coming out soon that will use this algorithm to a greater extent.
In terms of using HR recovery and decoupling, there are just too many variables to draw any meaningful conclusions on a broad scale. HR data is truly a mess when you look through all various user data that gets uploaded. Developing software that can weed through this mess and extract meaningful information isn’t easy but is key to developing algorithms that will work. HRDM works because it doesn’t rely on individual data points and has some correction built in. Looking at HR recovery would be extremely difficult with the quality of data available.
HRV is very interesting and we have some unique applications in our roadmap.
Core (www.corebodytemp.com) is also a promising tech that we think we can leverage both in terms of creating methods to analyse it meaningfully for athletes as well as establishing models that can be applied more broadly, particularly as it relates to HR and central fatigue.
Unfortunately, as you hopefully can appreciate, our eyes are way bigger than our stomach when it comes to uses of data and developing new features. As we continue to attract more and more customers, we can also invest more and more into new innovations.