Related Experiment Video
Updated: Sep 18, 2025
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
Published on: June 27, 2025
A novel model describing blood pressure profiles
Sabina Schlottau1, Willi Cawello1, Stephanie Läer1
1Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Insights
A new model visualizes daily blood pressure patterns, showing individual variations. This helps assess cardiovascular risk by analyzing blood pressure profiles and variability.
Area of Science:
- Cardiology
- Biomedical Engineering
- Chronobiology
Background:
- Blood pressure exhibits a circadian rhythm, typically rising in the morning and falling at night.
- Deviations from normal blood pressure patterns are linked to increased cardiovascular risk.
- Analyzing blood pressure profiles and variability is crucial for risk assessment.
Purpose of the Study:
- To develop a novel model for visualizing blood pressure profiles over several days.
- To enable the assessment of intra- and inter-individual blood pressure variability.
- To analyze circadian patterns in blood pressure using cuffless measurement data.
Main Methods:
- A blood pressure model was created using cuffless measurements from six healthy volunteers over 14 days.
- Exponential formulas described systolic and diastolic blood pressure curves.
- A non-linear regression model in R was employed for data analysis.
Main Results:
- All subjects demonstrated a clear circadian pattern in both systolic and diastolic blood pressure.
- Blood pressure was consistently lower during nighttime hours compared to daytime for all participants.
- Individual differences in blood pressure levels, fluctuation, and sleep times were observed, highlighting unique daily curves.
Conclusions:
- The developed model effectively visualizes multi-day blood pressure profiles.
- It allows for the assessment of both within-subject and between-subject blood pressure variability.
- This tool aids in understanding individual blood pressure dynamics and potential cardiovascular risk factors.
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.
Related Concept Videos
01:10Pre-Procedural Guidelines for Assessing Blood Pressure
01:17Measurement of Blood Pressure
01:18Neural Regulation of Blood Pressure
Baroreceptor Reflex
Baroreceptors, located in the carotid sinuses and aortic arch, detect changes in blood pressure. When blood pressure rises, these stretch-sensitive receptors...
01:28Factors affecting Blood pressure
Physiological Factors:
01:28Special considerations while measuring blood pressure
Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.
00:57Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models