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Updated: Jul 17, 2026
06:18
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
Published on: December 6, 2024
Parametric differential approach for modeling the upper limb human vasculature.
Edmond Zahedi1, Mohd Alauddin Mohd Ali
1Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Selangor, Malaysia.
Summary
A novel differential parametric method non-invasively characterizes the upper vascular tree using photoplethysmograms. This approach, utilizing an auto-regressive with exogenous input model, demonstrates stable coefficients for vascular analysis.
Area of Science:
- Biomedical Engineering
- Physiology
- Signal Processing
Background:
- Accurate characterization of the vascular tree is crucial for understanding cardiovascular health.
- Non-invasive methods for vascular assessment are highly desirable.
Purpose of the Study:
- To propose a novel parametric approach for characterizing the upper vascular tree.
- To introduce a differential method using non-invasively obtained signals.
Main Methods:
- Utilized photoplethysmograms from the left and right indexes.
- Employed an auto-regressive with exogenous input (ARX) model.
- Estimated model order using standard techniques.
Main Results:
- The proposed parametric approach successfully characterized the upper vascular tree.
- Differential analysis of photoplethysmograms provided novel insights.
- The ARX model coefficients exhibited a high degree of stability.
Conclusions:
- The differential parametric method offers a stable and non-invasive approach for vascular tree characterization.
- This technique holds potential for clinical applications in cardiovascular assessment.
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