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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.

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Table 1.

Variables extracted from waveforms.

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Fig 2.

Overview of included and excluded subjects.

The flow chart displays the process to assess subject eligibility for the main analysis.

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Table 2.

Patient characteristics.

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Table 2 Expand

Table 3.

Event characteristics.

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Table 3 Expand

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.

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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.

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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.

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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).

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