Comment by scheme271
12 hours ago
I'm not sure the body battery/stress measures are that great. Garmin is infamous for having an awful sleep algo and it still has a lot of trouble detecting naps. It doesn't bode well for being able to get stress data. I think it's good for generally determining high stress vs low stress and when you've overdone exercise recently but probably not much more.
Body battery is amazing. I had long COVID/ME/CFS, and looking at the body battery when waking up was an outstanding predictor of how my day was going to be. When I hit 5% body battery, I was really feeling horrible.
Interesting. What did you have to do to "charge" the body battery tough? And how does the garmin keep track of that?
Naps and rest “charge”, and yes, Garmin keeps track of that.
Not that I put a whole lot of weight in those data personally.
It's just a collation of sleep-end RHR/HRV. It's completely trivial and many manufacturers do this correctly; both are extremely reliable predictors of recovery metrics.
Garmin has absolutely shitty sleep tracking but it doesn't matter; any wearable more or less nowadays can get static heart rate correct, leading to more or less accurate recovery metrics.
"Collect every paper you can find on RHR/HRV/etc. recovery metrics. Develop an algorithm for predicting recovery score per day based on the research" as a prompt to a Codex or Claude agent can probably get you 98-100% of the way there.
Edit: As a proof of concept, I had ChatGPT Pro 5.6 write the algorithm with my Fitbit data. Looks great.