Suunto ZoneSense
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@wakarimasen no, you also get ZoneSense data in Suunto app retrospectively for all exercises, which have R-R intervals data (that’s true for all exercises done with the Suunto smart sensor, Polar H10, etc.)
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@halajos said in Suunto ZoneSense:
@wakarimasen no, you also get ZoneSense data in Suunto app retrospectively for all exercises, which have R-R intervals data (that’s true for all exercises done with the Suunto smart sensor, Polar H10, etc.)
NICE!
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@wakarimasen said in Suunto ZoneSense:
https://forum.suunto.com/post/160779
ZoneSense is possible with the Ambit series? Wow - I did not know. I almost asked about this a few days ago, bit assumed it was a stupid question
How does this work in practice, as I thought the app had to be activated in the watch?You will not see ZS live on the watch, which is the major reason to use it in my opinion. However, you will see ZS in the app after you finish the workout if you use a belt that measures electrical activity for the heart, not an optical belt.
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The algorithm seems to need more development. Below is the ZoneSense plot from 5x hill repeats to max effort on a treadmill.
When running endurance pace I get a steady 142-146 bpm threshold. But no estimate of anaerobic from this workout?
Seems I barely left my aerobic threshold zone
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Pic attached this time
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@Oxhill_Runner the intervals aren’t long enough, from the resources given (and my experience) they need to be nearing 4 minutes long to get into anaerobic range from ZS - although you can see cumulative fatigue building up from the graph.
Steady state efforts and longer intensity is what it’s designed to log.
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Thanks for sharing 77
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Another example of the utility of ZoneSense for real time:
I’ve been traveling with my wife and at Sea Level for almost 2 weeks. After returning home to 1600m did a Tempo workout and then a Recovery Run the next day where I felt tired and slow…ZS had me anaerobic at very low HR.
The next day another Tempo workout where I felt really good. ZS was much different!
My point is a tool for real time training, I am not paying much attention to my HR zones anymore! Good for longer intervals, these were 8 min Tempo. I would not use for anything less than about 4 min. Most helpful for longer runs.
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@Brad_Olwin said in Suunto ZoneSense:
Another example of the utility of ZoneSense for real time:
I’ve been traveling with my wife and at Sea Level for almost 2 weeks. After returning home to 1600m did a Tempo workout and then a Recovery Run the next day where I felt tired and slow…ZS had me anaerobic at very low HR.
The next day another Tempo workout where I felt really good. ZS was much different!
My point is a tool for real time training, I am not paying much attention to my HR zones anymore! Good for longer intervals, these were 8 min Tempo. I would not use for anything less than about 4 min. Most helpful for longer runs.
Thank you for your insights . Can you help me please understand what do you mean by “not paying attention to your HR zones “?
Do you feel that your realtime indication is enough or that you don’t care about adjusting the Zones ?
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@thanasis
I keep my zones somewhere in the middle of my ZS parameters but not paying much attention. I typically run by RPE and now use ZS for Recovery and long runs, Not paying much attention to HR zones these days. I don’t see the point in adjusting HR zones as they are a moving target. I am not using ZS to set zones, I think not appropriate or necessary. I am using ZS to gauge my effort in real time. -
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?
Race S
Ambit3 Vertical -
@VoiGAS
pretty bad. it should looks more as a straight line -
@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…
Suunto Race S
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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.
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@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.
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?
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@Liviu-Nastasa
I guess it’s normal 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
