Week #2: Coros x HRV4Training update ⌚︎
You can now read night HRV in HRV4Training via Coros
hi there 👋
I hope everything is well and you’ve had a good start of the new year.
We’ve extended the integration between Coros and HRV4Training, which now allows you to choose between morning measurements using ECG and night PPG data.
The night data has resulted reliable in our tests, and is a viable alternative to other solutions on the market (Oura, Whoop, Garmin, etc.).
As my routine (both in the evening and the morning) has been quite uneventful recently, my data looks very similar even between morning measurements (phone camera, while sitting) and night data (Coros watch):
You can learn more about this integration, here.
Enjoy the update and special thanks to Darian @ Coros for his help with this.
Publications 📄
Our 60-page guidelines paper was accepted for publication in SLEEP: de Zambotti; Goldstein; Cook; Menghini; Altini; Cheng; Robillard. “Practical Guidelines for Using Wearable Technology in Sleep and Circadian Research: A Position Statement from the Sleep Research Society”.
The article is not available yet and I will talk more about it later, but it is in part covered in this blog where I discussed my talk for the Royal Sleep Society.
There is also this really good podcast with Cathy, Jesse, and Max, discussing the paper. I would highly recommend listening if you are interested in sleep tracking or are using a wearable for sleep tracking.
From last week ⏮️
In case you missed it, here are a few little-known features that you can find in the HRV4Training app and in HRV4Training Pro.
I hope you can find these features useful.
Discount for Pro: 20% off 🖥️
HRV4Training Pro is the ultimate platform to help you analyze and interpret your physiological data, for individuals and teams.
You can find a guide here.
Try HRV4Training Pro for free at HRVTraining.web.app or use promo code SCIENCE for 20% off.
In the app, Pro brings the normal values view, which can help contextualizing longer-term changes, as well as rMSSD on the homepage, see an example below:
See you next week!
Marco holds a PhD cum laude in applied machine learning, a M.Sc. cum laude in computer science engineering, and a M.Sc. cum laude in human movement sciences and high-performance coaching.
He has published more than 50 papers and patents at the intersection between physiology, health, technology, and human performance.
He is co-founder of HRV4Training, advisor at Oura, guest lecturer at VU Amsterdam, and editor for IEEE Pervasive Computing Magazine. He loves running.
Social:
Twitter: @altini_marco.
Personal Substack.
ThankU