Alias_Knagg

I always thought the sale of Indulgences by the catholic church was a good metaphor. How about "Eco-indulgences"?

You should probably also look at the Movesense sensor I brought up elsewhere in this thread. Signs are indicating (right here!) that you would find it much better supported for a case like yours :-)

Thanks for dropping by! Yeah it's hard to think of a way to analyze and present the data that would be both 100% "transparent" and useful for all applications. Realistically, With all the data available from these sensors, that's probably not possible :-)

Well, the MD I linked to in [2] above, claims that it's more precise for HRV IIRC. Something about sample rates and filters and skewing of the waveform impacting HRV measurements since they depend on precisely locating waveform peaks. (he has a bunch of posts about the Movessense sensor, so I might not have linked the best one)

You might want to have a look at this lot. They all have their own little angle on the matter, but there could be one there that would work for you:

https://www.movesense.com/showcase/

Has anyone here looked at the Movesense(1) hardware / SDK from Suunto? I have seen some claims(2) that its better than the Polar H10.

There are quite a few products based on Movsense (see the showcases) but my experience with two of them is mixed. There seems to be way too much "secret sauce" involved in the processing and presentation of the results. This project looks very interesting from that perspective, but I'm unsure if it would work for the 24x7 monitoring for Cronic Fatigue I'm looking for. (never mind that it's not an app yet :-)

1 https://www.movesense.com/

2 http://www.muscleoxygentraining.com/2020/06/movesense-medica...