Fig 1.
Illustration of extracted variables.
The figure displays a cut-out of a waveform time series from an arbitrary subject. Annotations define the points and intervals that were extracted from waveforms and used for analysis.
Table 1.
Variables extracted from waveforms.
Fig 2.
Overview of included and excluded subjects.
The flow chart displays the process to assess subject eligibility for the main analysis.
Table 2.
Patient characteristics.
Table 3.
Event characteristics.
Fig 3.
Frequency histogram of Pearson Correlation Coefficients versus SBPAV.
The figure displays the distribution of Pearson Correlation Coefficients for (a) SBPAV vs. PTT-RAAV and (b) SBPAV vs. HRAV. A value of -1 signifies a perfect negative correlation, a value of 1 signifies a perfect positive correlation, and a value of 0 means no correlation. n = 511.
Fig 4.
Slopes from linear regression of SBPAV vs. PTT-RAAV.
The figure displays the estimated change in SBP as a function of the observed PTT-RAAV. Each dark line represents the slope of said relationship for one subject. n = 511.
Fig 5.
Event visualization and regression for subject 20936.
a-c: Time series of extracted parameters (SBP, PTT-RA and HR). d: Regression plot of PTT-RA vs. SBP. e: Regression plot of PTT-RAAV vs. SBP. f: Regression plot of HR vs. SBP.
Fig 6.
Bland-Altman plot of regression slopes for primary vs. secondary segments.
The mean value of the regression slope for two segments from the same subject is displayed on the x-axis. The bias, i.e. the difference between the regression slopes of the two segments, is displayed on the y-axis (n = 215).