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Figure 3 | BioMedical Engineering OnLine

Figure 3

From: Estimation of cardiac output and systemic vascular resistance using a multivariate regression model with features selected from the finger photoplethysmogram and routine cardiovascular measurements

Figure 3

Pooled histogram of selected features and number of features used when estimating SVR using the best multivariate model. Top: Pooled HIST1 - relative frequency of a feature being selected to estimate SVR, bottom: Pooled HIST2 - relative frequency of number of features being used in the SVR estimation model. Two features were most commonly selected by the feature selection algorithm; feature 24 (log(LF/HF)) and feature 28 (log(PW)). Feature 3 (LF/HF) was sometimes selected.

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