Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. (arXiv:2205.03116v2 [cs.LG] UPDATED)

Cardiorespiratory fitness is an established predictor of metabolic disease
and mortality. Fitness is directly measured as maximal oxygen consumption
(VO$_{2}max$), or indirectly assessed using heart rate responses to standard
exercise tests. However, such testing is costly and burdensome because it
requires specialized equipment such as treadmills and oxygen masks, limiting
its utility. Modern wearables capture dynamic real-world data which could
improve fitness prediction. In this work, we design algorithms and models that
convert raw wearable sensor data into cardiorespiratory fitness …

arxiv environments fitness free prediction wearables