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Related Concept Videos

Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

96
Systolic Heart Failure and Compensatory MechanismsSystolic heart failure (also termed HFrEF, Heart Failure with Reduced Ejection Fraction) is the most prevalent type of heart filure. It results in a decreased volume of blood being pumped from the ventricle. The aortic arch and carotid sinuses have baroreceptors that detect reduced blood pressure, triggering the sympathetic nervous system (SNS) to release epinephrine and norepinephrine. Initially, this response aims to boost heart rate and...
96

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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
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A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment.

Letizia Clementi, Caterina Gregorio, Laura Savare

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel functional data analysis approach to assess myocardial contractility and detect left ventricular hypertrophy. This method offers a more comprehensive evaluation of cardiac structure than traditional parameters.

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    Last Updated: Oct 10, 2025

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    Area of Science:

    • Cardiology
    • Biomedical Engineering
    • Data Science

    Background:

    • Left ventricular remodeling is a key process in cardiovascular diseases, impacting myocardial morphology.
    • Current diagnostic parameters like ejection fraction primarily assess volumetric aspects, potentially overlooking structural changes.
    • Quantitative assessment of structural modifications is crucial for early disease detection.

    Purpose of the Study:

    • To propose a functional data analysis approach for evaluating myocardial contractility.
    • To develop a method for discriminating between healthy subjects and those with left ventricular hypertrophy.
    • To integrate higher informative content beyond traditional clinical parameters for assessing cardiac morphology.

    Main Methods:

    • Introduction of a functional representation of ventricular shape.
    • Application of functional principal component analysis (FPCA).
    • Utilization of depth measures for subject discrimination.

    Main Results:

    • The proposed approach successfully discriminates between healthy individuals and those with left ventricular hypertrophy.
    • Functional data analysis provides a synthetic representation of myocardial morphological changes.
    • The method integrates more informative content compared to standard clinical parameters.

    Conclusions:

    • Functional data analysis offers a promising tool for quantitative assessment of myocardial contractility and structural changes.
    • This approach can aid in the early individuation of left ventricular hypertrophy.
    • The method has potential for implementation in future clinical practice for improved cardiovascular disease management.