Figure 10
From: Examining the challenges of blood pressure estimation via photoplethysmogram
The effect of the number of (A) total windows (MIMIC dataset), (B) total patients (Aurora-BP dataset), and (C) age range (Aurora-BP dataset) on the mutual information between PPG PWA features and BP. We perform 20 runs with different random subsets of the data to plot the distributions. Optical PPG features similar to Table 7 were used for (A) and (B), while richer features (patient demographic data, PPG optical features and features derived using ECG, similar to Table 8) were used for (C). For each plot the corresponding features were combined and treated as a single multi-dimensional input for computing MI.
