[Paper] Readiness, recovery, and strain: an evaluation of composite health scores in consumer wearables
I have been collaborating with Dr. Cailbhe Doherty at the Insight SFI Research Centre for Data Analytics at University College Dublin on two articles related to wearable technology.
The first one is all about composite (or as I call them, “made-up”) scores. Composite scores from wearables aim to simplify complex data for users, but their lack of transparency, validation across populations, and standardized methods limits their reliability and clinical relevance.
We need open methodologies and evidence-based best practices more than black-box algorithms, if you ask me.
Learn more here.
How to Show Your Support
No paywalls here. All my content is and will remain free.
As a HRV4Training user, the best way to help is to sign up for HRV4Training Pro.
Thank you for supporting my work.
Endurance Coaching
If you are interested in working with me, please learn more here, and fill in the athlete intake form, here.
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 is a certified ultrarunning coach.
Marco has published more than 50 papers and patents at the intersection between physiology, health, technology, and human performance.
He is co-founder of HRV4Training, Endurance Coach at Destination Unknown, advisor at Oura, guest lecturer at VU Amsterdam, and editor for IEEE Pervasive Computing Magazine. He loves running.
Social:
