Suunto ZoneSense

VoiGAS

Like posted a few times it seems to be important to have a good quality regarding the HRV values. Is there an easy way to find that out? I read about exporting to Runalyze and interpret the form of the cloud in the diagram. But thats a little bit like Black Magic for me…
Is there a way to see it in the Suunto App? Or if its only possible in Runalyze, than maybe limits of a value, e.g. “a maximum of 5% artifacts is good”?

Edit: But I think thats bad, right?

sartoric

@VoiGAS
pretty bad. it should looks more as a straight line

Inge Nallsson

@VoiGAS Yes, bad. Of course it depends on the scale, but if you look at ca minutes 35, you see a sort of background black line. Ideally the whole recording should be like that, with a few spurious dots elsewhere. You’ve got a ‘cloud’ of dots…

Theo Lakerveld

I’m starting to get convinced that ZoneSense is very useful. Have a look at the ZS vs HR / Power graphs for this workout ( https://whatsonzwift.com/workouts/aktivitus-10wk-ironteam-endurance/szr-aktivitus-2h-v1 ) . This complied very well with my (subjective) feeling.

Liviu Nastasa

@Inge-Nallsson I understand that in the first 10 minutes, the algorithm needs some data to create a baseline, but in my case it happens so often to have issues with the conductivity of the chest HR strap so I was wondering if the “setup” period is relevant in any way or how does that affect the indications later on.
For example, this morning, the first 10 minutes were affected by erroneous readings of the HR, until the sweat creates the conductivity to allow decent readings. Pace was constant, flat terrain.

I would say that the indications from ZS are reflecting the way I feel, but I can’t keep from asking myself if the “baseline” period is not actually affecting the later results or by how much.
HRV Runalyze.png
That’s what I see in Runalyze, there is a certain jump in the R-R values when the stability of the readings is improved.

Otherwise, the readings are ok … the interpretation seems inline with what I feel…but am I not fooling myself?

sartoric

@Liviu-Nastasa
I guess it’s normal (or maybe not unusual) to have some scattered values at the beginning, and that’s the main reason for calibration.

As you can see, despite the mess , there are some good sets of readings that are (very probably) used to calibrate ZS baseline

Brad_Olwin

@Theo-Lakerveld looks great!

VoiGAS

@Inge-Nallsson @sartoric Thank you! Then I will first work on the quality, the belt is already washed. Then I will try it again with Zonesense and hope for the best

ChrisA

@Theo-Lakerveld from your screenshot it’s also nicely visible that Zonesense tracks the changes caused by rising your HR with some delay, due to the time that is needed for them to effect your system and why it won’t work for fast paced intervals accordingly.

Inge Nallsson

@Liviu-Nastasa As @sartoric says, it is not unusual to see larger swings in the heart rate variability at the beginning of an exercise, and even getting scattered readings there, and from the plain text and videos Suunto have published (I’ve not read the scientific papers) they disregard the whole first 10 minutes, waiting for the body to reach a balance (homeostasis) within its systems.

As for a baseline, and please correct me if I’m wrong (Suunto people), there already is a general one established through the first couple of ZS registered activities. How much of that is kept or adjusted by consecutive recordings I’ve not seen any mention of. But the day-by-day difference to the longterm baseline should not start to be looked at until after the discarded first 10 minutes.

I will try to inform myself better by reading those published science papers, but there will always be a ‘black box’ of implementation from, in this case, Suunto.