Fig. 6

(a) Linear regression and Bland–Altman analyses for a comparison between ECG- and pECG-derived R–R intervals in each of four recumbent positions on the bed. The linear regression plot illustrates the fitted linear model (solid line) and the identity line (dotted line) with the regression equation and correlation coefficient (r). In Bland–Altman plots, 95% limits of agreement (LoA) and bias are displayed with dashed and solid lines, respectively, along with their numerical values. The upper (↑LoA) and lower (↓LoA) LoA are presented with a ± 1.96 standard deviation. (b) Linear regression and Bland–Altman analyses for a total of 9529 heartbeats obtained in the four body positions for all participants. ECG electrocardiogram; BCG: ballistocardiogram, pECG predicted ECG signal, pRRI predicted R–R interval calculated from the pECG signal generated by the deep learning model.