ArticleScientific reports2022
Improving the accuracy and robustness of carotid-femoral pulse wave velocity measurement using a simplified tube-load model.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Motion Artifacts Removal from Measured Arterial Pulse Signals at Rest: A Generalized SDOF-Model-Based Time-Frequency Method.Sensors (Basel, Switzerland) · 2025Article
- Tactile-Transparent Wearable Sensor for Clinician-Friendly Pulse Wave Velocity Monitoring and Cardiovascular Risk Profiling.ACS nano · 2025Article
- An Analytical Model of Motion Artifacts in a Measured Arterial Pulse Signal-Part I: Accelerometers and PPG Sensors.Sensors (Basel, Switzerland) · 2025Article
- Evaluation of the ultrasonic arterial measurement and analysis system for predicting 10-year atherosclerotic cardiovascular disease risk in patients with type 2 diabetes.Quantitative imaging in medicine and surgery · 2025Article
- Two sides of the same coin: Non-alcoholic fatty liver disease and atherosclerosis.Vascular pharmacology · 2024Review
- Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet.American journal of physiology. Heart and circulatory physiology · 2023Review
- Genetic and biomarker modulation of arterial stiffness change in the SardiNIA population cohort.Frontiers in epidemiology · 2023Article
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10 authors.
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Abstract
Arterial stiffness, as measured by pulse wave velocity, for the early non-invasive screening of cardiovascular disease is becoming ever more widely used and is an independent prognostic indicator for a variety of pathologies including arteriosclerosis. Carotid-femoral pulse wave velocity (cfPWV) is regarded as the gold standard for aortic stiffness. Existing algorithms for cfPWV estimation have been shown to have good repeatability and accuracy, however, further assessment is needed, especially when signal quality is compromised. We propose a method for calculating cfPWV based on a simplified tube-load model, which allows for the propagation and reflection of the pulse wave. In-vivo cfPWV measurements from 57 subjects and numerical cfPWV data based on a one-dimensional model were used to assess the method and its performance was compared to three other existing approaches (waveform matching, intersecting tangent, and cross-correlation). The cfPWV calculated using the simplified tube-load model had better repeatability than the other methods (Intra-group Correlation Coefficient, ICC = 0.985). The model was also more accurate than other methods (deviation, 0.13 ms
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