Key result
Novel non-linear model describes circadian BP profiles and variability using 14-day cuffless monitoring data.
Why the study?
Deviations from normal circadian blood pressure patterns are linked to increased cardiovascular risk, making the analysis of blood pressure profiles and variability important.
Observational (n=6)
No
A novel non-linear regression model using exponential formulas applied to cuffless blood pressure data successfully visualizes individual 14-day circadian blood pressure profiles and variability.
Introduction: Blood pressure follows a circadian rhythm and is influenced by various factors. Blood pressure rises in the morning and decreases at night. It is known that deviations from this pattern are associated with an increased cardiovascular risk. Therefore, it is important to analyze blood pressure profiles and blood pressure variability. Methods: A blood pressure model was developed based on data from cuffless blood pressure measurements of six healthy volunteers over a 14-day period. Exponential formulas were applied for the description of blood pressure curves (systolic and diastolic), which were used for a non-linear regression model in R. Results: All six subjects showed a circadian pattern in systolic and diastolic blood pressure over a 14-day period. Both the measured values and the predicted values show that each subject's blood pressure was lower at night than during the day. Differences emerged in the level of blood pressure, the fluctuation, and the sleep times, which revealed individual characteristics in the daily blood pressure curves. Discussion: This novel blood pressure model can be used to visualize blood pressure profiles for several days and enables the assessment of the intra- and inter-individual variability of blood pressure.
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Schlottau et al. (2025) conducted an observational in Healthy adults (n=6). Cuffless blood pressure monitoring (Aktiia SA) was evaluated on Development of a blood pressure model using exponential formulas to describe blood pressure curves. A novel non-linear regression model based on exponential formulas successfully described and visualized circadian blood pressure profiles and variability over a 14-day period using cuffless monitoring data.
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