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Published on: October 20, 2023
[Research progress in central aortic pressure estimation algorithms]
Shuo Du1, Shuran Zhou2,3, Guanglei Wang1
1College of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R .China.
Insights
Accurate central aortic pressure (CAP) measurement is crucial for cardiovascular health. This review details CAP estimation algorithms, highlighting a trend towards personalized and non-linear approaches for better blood pressure management.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Technology
Background:
- Hypertension significantly contributes to cardiovascular events and mortality.
- Accurate blood pressure measurement is essential for diagnosis and treatment monitoring.
- Central aortic pressure (CAP) correlates better with cardiovascular events than brachial pressure, but non-invasive technology is limited.
Purpose of the Study:
- To systematically review research progress in central aortic pressure (CAP) estimation algorithms.
- To analyze the characteristics and clinical adaptability of different CAP estimation methods.
- To inform the clinical application of CAP and optimize blood pressure management.
Main Methods:
- Categorization of CAP estimation algorithms into three types: direct substitution, generalized model-based, and personalized estimation.
- Analysis of the features and clinical suitability of each algorithm category.
- Review of current research trends in CAP estimation.
Main Results:
- CAP estimation algorithms are evolving towards greater personalization.
- Non-linear approaches are increasingly important in CAP estimation.
- The study categorizes algorithms into direct substitution, generalized model-based, and personalized methods.
Conclusions:
- Central aortic pressure (CAP) estimation algorithms are advancing towards personalization and non-linearity.
- Optimizing blood pressure management through improved CAP estimation is a key clinical goal.
- Further development of non-invasive CAP detection technology is needed for wider clinical adoption.
Abstract:
Hypertension is a major factor leading to cardiovascular events and death, and accurate blood pressure measurement is a fundamental means of evaluating blood pressure levels, achieving hypertension diagnosis, and observing antihypertensive efficacy. Compared to traditional brachial pressure, central aortic pressure (CAP) exhibits a stronger correlation with cardiovascular events. However, its non-invasive detection technology has not yet been widely adopted in clinical practice. In order to promote the clinical application of CAP and optimize blood pressure management, this article systematically summarizes the research progress of CAP estimation algorithms. These algorithms were categorized into three types: direct substitution methods, generalized model-based methods and personalized estimation methods. The characteristics and clinical adaptability of each algorithm were analyzed. The findings highlight that CAP estimation algorithms are moving towards personalization and non-linearity.
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