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Cuffless Blood Pressure Estimation Using Calibrated Cardiovascular Dynamics in the Photoplethysmogram
Hamed Samimi1, Hilmi R Dajani1
1School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Bioengineering (Basel, Switzerland)
|September 22, 2022
Summary
This study presents a novel cuffless method for continuous blood pressure monitoring using photoplethysmogram (PPG) signals. The technique calibrates pulse transit time (PTT) changes, offering a promising non-invasive approach for cardiovascular disease management.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Medical Devices
Background:
- Accurate, non-invasive blood pressure estimation is crucial for cardiovascular disease management.
- Current methods often require cuffs, limiting continuous monitoring capabilities.
- Developing cuffless and continuous blood pressure estimation is a significant research goal.
Purpose of the Study:
- To propose and validate a novel method for cuffless and continuous blood pressure estimation.
- To utilize dynamic changes in pulse waveform and a mathematical model for blood pressure calibration.
- To assess the feasibility of using photoplethysmogram (PPG) signals for this application.
Main Methods:
- A method employing dynamic changes in pulse waveform over short intervals was developed.
- The system was calibrated using a mathematical model relating reflective pulse transit time (R-PTT) to blood pressure.
- Photoplethysmogram (PPG) data was collected using a single optical sensor, with initial calibration from non-invasive blood pressure measurements.
Main Results:
- The method was applied to data from 30 patients.
- Results for diastolic blood pressure (DBP) showed a mean error (ME) of 0.59 mmHg, standard deviation of error (SDE) of 7.07 mmHg, and mean absolute error (MAE) of 4.92 mmHg.
- Results for systolic blood pressure (SBP) showed an ME of 2.52 mmHg, SDE of 12.15 mmHg, and MAE of 8.89 mmHg.
Conclusions:
- The study demonstrates the potential of using PPG signals for cuffless, continuous blood pressure estimation.
- Analysis of calibrated cardiovascular dynamics derived from PPG shows promise.
- This approach may complement other ongoing research in non-invasive vital sign monitoring.
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