Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions
Fig 4
A) Continuous glucose, estimated insulin on board (IOB), and Apple watch data, including heart rate variability (HRV), daily steps taken, and energy expended, over 12 weeks for the participant of interest. B) Analysis of a 10-week exercise regimen’s causal impact on the percentage of daily glucose readings in the target range (percent-in-target) of individual 1. C) Analysis of a 10-week exercise regimen’s causal impact on the percentage of daily glucose readings above the target range (percent-above-target) for individual 1. HRV, heart rate variability. IOB, insulin on board. D) Percent-in-target range analysis for individual 2. E) Percent-below-target range analysis for individual 2.