Figure 3
Continuous physiology data allow more precise alignment for machine learning training, sickness profiling. We analyzed continuous heart rate (HR, beats per min, blue) and respiratory rate (RR, breaths per min, purple) within the presumptive illness window of DX-2 weeks: DX + 1 week (grey shaded region) to detect statistical deviations (A, dashed lines; zoom in B); the average location of the two detections defined PX (yellow). On average, distance from PX to DX was 1 day longer than SX to DX (C); SX (n = 67) relies on report, and so is missing in some cases when PX (n = 73) is present. Profiles of physiological data aligned by PX from the n = 73 cohort for heart rate (HR) and heart rate variability (HRV; D), dermal temperature during wake and sleep (E) and estimated metabolic equivalents (MET) of physical activity and respiratory rate (RR; F). See Fig. 2 and Methods for definitions of DX, PX, and SX.
