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Updated: Mar 29, 2026
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Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness
Published on: May 3, 2018
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Blood Pressure Estimation Through Pulse Wave Analysis Using Features Extracted from Carotid Diameter Distension
Lirui Xu1, Zhenhua Li1, Pan Xia2
1Naval University of Engineering, Wuhan 430033, China.
Biosensors
|March 27, 2026
Summary
This study introduces a novel method for blood pressure estimation using carotid artery diameter waveforms. Machine learning models accurately predict blood pressure fluctuations, demonstrating potential for non-invasive monitoring.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Medical Signal Processing
Background:
- Pulse wave analysis (PWA) is used for blood pressure estimation by analyzing pulse waveform features.
- Existing PWA methods often rely on peripheral artery measurements.
- The carotid artery offers a direct window into central hemodynamics.
Purpose of the Study:
- To investigate the relationship between carotid artery diameter waveform features and blood pressure variations.
- To develop and validate a machine learning model for blood pressure estimation using these features.
- To assess the model's accuracy and long-term stability for dynamic blood pressure monitoring.
Main Methods:
- Collected synchronous carotid artery diameter waveforms (ultrasound) and blood pressure data from 14 subjects.
- Extracted 52 morphological features from diameter waveforms and their derivatives.
- Employed machine learning algorithms to build and optimize blood pressure estimation models for individual subjects.
Main Results:
- Developed subject-specific models for dynamic blood pressure estimation.
- Achieved a mean absolute error (MAE) of 3.3 ± 4.1 mmHg on data with >25 mmHg fluctuations.
- Demonstrated sustained model effectiveness for over two days, with a MAE of 4.2 ± 5.3 mmHg.
Conclusions:
- Carotid artery diameter waveform features are valuable predictors of blood pressure.
- Machine learning models based on these features provide accurate and stable blood pressure estimation.
- This approach offers a promising non-invasive method for continuous blood pressure monitoring.
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