Development and Validation of a Daily Measure of Cardiorespiratory Fitness – Estimated VO2 Max- Using Multiparimetric Data from a Wearable Sensor
Richards, Gendy, Larimer, Steinhubl, Pipke
1 min read
physIQ : July 31, 2020
Abhishek Pratap1,2, Steve Steinhubl3, Elias Chaibub Neto1, Stephan W. Wegerich4, Christine Tara Peterson5, Lizzy Weiss6, Sheila Patel5,7, Deepak Chopra5,6 and Paul J. Mills5
1Sage Bionetworks, Seattle, WA, United States
2Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States
3Scripps Translational Science Institute, La Jolla, CA, United States
4PhysIQ, Chicago, IL, United States
5Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States
6The Chopra Foundation, Carlsbad, CA, United States
7Chopra Global, New York, NY, United States
Simple, wearable sensors enable the ability to continuously monitor HRV during routine daily activities. Personalized HRV analysis at an individual level showed distinct HRV trajectories, further supporting the utility of using continuous real-world tracking of HRV at an individual level to objectively measure responses to potentially stressful or relaxing settings. This holds promise for identifying personalized stress and calm. However, there remain substantial challenges to fully understanding how to best measure it to extract actionable data to benefit the individual.
Published in Frontiers in Cardiovascular Medicine (2020)
(2020) Front. Cardiovasc. Med. | doi: 10.3389/fcvm.2020.00120.
Richards, Gendy, Larimer, Steinhubl, Pipke
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