[InThePress] Making Sense of Wearables Data
an overview of my framework
A few months ago I was invited in Chicago to speak at the GSSI Sport Science Expert Panel.
My talk was about wearables, and in particular covering the framework I have proposed to make better use of these tools:
Understanding differences between measurements and estimates.
Context, accuracy and interoperability of measurements.
Estimates of known and unknown parameters.
Behavior vs response.
Signal vs noise and meaningful changes.
I had a great time at the event, meeting many brilliant individuals, and having many stimulating conversations.
I'll take this opportunity to thank you again for inviting me and for a lovely few days (including some good running!).
Check out my article, which I have recently written for GSSI, and where I cover the topics I've discussed in my talk, here.
Thank you for reading!
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:
As you’ve mentioned the oura (I’m a fellow wearer) i’m curious what you think about some of the metrics beyond average resting heart rate and heart rate variability. For instance, do you think it matters where in the evening your lowest heart rate occurs? On their website they say that a good night sleep involves the heart rate hitting its lowest point in the first half of the night, somewhere around the midpoint, but mine often occurs in the second half of the night. I do have mild UARS and am looking into interventions for it (namely: forcing myself to side sleep) but was curious if you look at any oura metrics beyond HR/HRV.
Thanks Marco. I already discount my calculated HRV score in favour of my rmssd score.