Camera-based heart rate variability analysis
Camera-based heart rate variability analysis
10 years
Exactly 10 years ago I built the first camera-based software that could rely only on an iPhone to compute heart rate variability (HRV) accurately - with no external sensors.
Thank you Nick Busca for the interview on Triathlete magazine covering this work, timely!
Full article, here.
While here is my original blog that I wrote at that time, showing the processing pipeline and early results of this new method (2014)
Later, I embedded the technology in HRV4Training, and further validated it against ECG and chest straps (paper here).
Thank you for being part of the journey.
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.
