HRV recording consistently scoring 26...
-
@Neil-McElroy there is something off with the hrv measuring with r2 in my experience. I also came from Garmin, where it seemed much more polished. My hrv varies very little from day to day with the suunto and is considerably lower than in was ever getting with garmin.
I’ve resorted to taking measurements myself using a polar h10 chest belt and elitehrv. I take measurements at the same time every day including immediately up waking. This gives a much more accurate measurement and is significantly different from my suunto measurements. The variations with the chest strap and much larger but so too are the values. I will often have suunto show me my sleeping hrv is 30 and the chest strap will show between 50- 65. The suunto hardly varies from 30 ± 2. -
@TED77 You’re measuring and comparing two different things. Hence the discrepancies.
Instead of wasting time on pointless comparisons, read up on how (and what) is measured and displayed in both apps.
-
I have been comparing the HRV measurements with an another brand and can say that they are almost identical.
P.s. I am ill at the moment.
-
@maszop said in HRV recording consistently scoring 26...:
@TED77 You’re measuring and comparing two different things. Hence the discrepancies.
Instead of wasting time on pointless comparisons, read up on how (and what) is measured and displayed in both apps.
Please explain your rationale of how they are completely different things? I’m very aware of what hrv is so no need for your patronising approach.
Hrv being a metric based on RR interval and an rmssd is a measurable metric and should be very similar no matter what is measuring it.
I’ve been using hrv in different forms for training, health and research and with different devices for about 15 years and was even using it during my studies over 25 years ago. I’m genuinely interested why u think they are completely different things depending on device and app? The RR interval is the same no matter what is measuring it.
Now if suunto is using some other calculation and algorithm its news to me. -
@maszop aren’t both measuring RMSSD?
-
@OutdoorMan yes they are.
-
@OutdoorMan Among other things, in different stage of sleep.
Comparing numerical values is pointless – what matters is the trend. This is the point of HRV monitoring. Raw numerical data (without context) is useless. -
Hello again,
thanks to all that have replied.Just to clarify and avoid any more less than helpful posts - I have already read up on HRV, understand what and how it is measured across different devices.
I agree on HRV being personal and to an individual and to only look on it as a trend.
All that being said - mine is still reading 26 every night, it doesn’t vary, despite heavy training days VS non training days, poor sleep VS great sleep and alcohol VS no alcohol - it should.
I’m not trying to compare to Garmin but it was clear how these activities impacted the score (trend).
Does anyone know if this is a known issue and something that is being looked at from a software update POV?
Many thanks,
Neil.
-
@Neil-McElroy I’d be very interested in any real answer from suunto on this too.
As i mentioned before, i believe there is an issue in the suunto algorithm and this may be something that causes variations from user to user or watch to watch. Whilst its correct that the trend generally is the more useful indicator an absolute and accurate measurement of the metric is also important. The calculation is and should be a standardised one therefore it should be very close no matter what measures it. It is a relatively simple calculation. The device should measure the RR interval - RR being the time between each R wave (the upspike on an ECG). This time should be measure in milliseconds (not simply a single decimal of seconds) and ideally as accurately as possible. Over a period of measurements each of these will vary of course. The Root Mean Square of successive differences -RMSSD is then calculated from the accumulation of these measurements.
RMSSD: Calculates the square root of the average of squared differences between adjacent RR intervals.This is not desperately complicated maths however can and will be affected by measurement accuracy. Even very small disturbances will cause interference and noise which is why optical devices use an algorithm to attempt to cancel out this noise and correct for it. Depending also on the accuracy and type or sensor being used, the precision of the RR intervals will be directly affected. Think one decimal place in measurement precision will imply a 10% measurement accuracy deviation.
If the suunto algorithm is too aggressive it could be dumbing down the measurement accuracy and precision. Similarly if its not truly measuring tomthr millisecond it will be well off. This will not only affect the overall mathematical calculation but also the trend, hence the importance of an actual and realistic measurement not just a trend. There are many other variables in this including skin type, hair, placement of the device, sweat, movement, device calibration, so some form of algorithm is needed however my feeling is that either an element of quality control in devices is lacking or the algorithm is too inflexible. I’d like to see suunto give users more control of this, more information about how it is working and allow users to perform their own hrv readings to give more control over its usage.
-
@TED77 I’ve never had a problem with HRV. It always pinpoints differences perfectly (illness, alcohol, fatigue, excellent fitness, etc.).
-
HRV seems to be working for me too, for me abnormal HRV correlates with alcohol, bad nights etc
-
How much variance do you get between good and bad nights?
