Baseline at the top end of the normal range and daily heart rate variability (HRV) looking really good (for my standards at least)

Looks like some intensity is on the menu for today's run Image
Took a minor hit after last Thursday's track session (8 x 800) + double on the bike

Re-added intensity more systematically recently, but keeping it at a low frequency (once every 7-10 days) and very flexible

Health brings fitness Image
Definitely a good day

Plus, the "100 km del Passatore" was just confirmed for next May. Better keep this up

cc coach @dwrowland

strava.com/activities/610…
Have you tried our half and marathon time estimate?

It's based on a simple machine learning model which seems to work quite well, research published here: researchgate.net/publication/32… with a few tweaks described here: hrv4training.com/blog/half-mara…

You can try it at HRV4T.com Image

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More from @altini_marco

14 Oct
A question that occasionally comes up is whether you could use heart rate variability (HRV) continuously, during the day, to identify mental stress with e.g. a wearable

In my opinion, the short answer is no

Here, truly less is more

For the long answer, see below 🧵👇
Normally, when we talk about stress, we consider all sources (mental and physical), as physiologically, there is ~no difference (see slides 23-24 here: slideshare.net/marcoalt/heart…)

This means that you cannot separate mental stress from physical stress in HRV, in the "real world"

/2
This is also why HRV measurements should be taken in certain well-defined conditions, for example, first thing in the morning or during the night, so that baseline physiological stress can be captured in a repeatable context (more details here: medium.com/@altini_marco/…)

/3
Read 13 tweets
2 Oct
I measure my resting physiology in two ways, which I consider equivalent (with some nuances):

• Morning measurement: 1 minute using the phone camera and HRV4Training
• Night data: average of the full night using the Oura ring (which I also pull in HRV4Training)

A 🧵👇

/1
I use both for obvious reasons (see bio), and have discussed previously in more detail night data: medium.com/@altini_marco/… - covering also the main differences with morning measurements

I always like to back up the theory with real-life data, so here are 6 months of data

/2
The data I am showing is the same I had shown a few days ago

I want to highlight how the data is extremely similar when there are no disruptions in heart rhythm, and how depending on your preference or constraints, you can pick whichever tool



/3
Read 13 tweets
10 Mar
There's a new independent validation out looking at the accuracy of commercially available HRV apps and sensors

Lowest median error:

🥇 HRV4Training + H10 (3%)
🥈 Oura ring (4%)
🥉 HRV4Training PPG (5%)

I'll take it. Some thoughts below

🔬📲

1/4
The full text is available here: frontiersin.org/articles/10.33…

Had mixed feelings at the beginning as we had an issue on iPhone 8, which was fixed for HRV4Training, but not for Camera HRV (showing poor results). This is most likely reflected in the reported quality though

2/4
another important point is that at this point it should be clear that PPG vs ECG is not what the conversation should be about. PPG works great and can easily outperform ECG (see Firstbeat + chest strap ranking poorly)

Why? Because HRV is all about how you handle artifacts

3/4
Read 4 tweets

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