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Related Concept Videos

Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

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...
Cardiomyopathy II: Dilated Cardiomyopathy01:30

Cardiomyopathy II: Dilated Cardiomyopathy

Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...
Heart Failure I: Introduction01:27

Heart Failure I: Introduction

Heart failure refers to a clinical syndrome caused by structural or functional cardiac disorders that prevent the heart from pumping an adequate amount of blood to meet the body's metabolic needs. This condition often arises from myocardial infarction or ischemia, leading to decreased cardiac output, reduced tissue perfusion, impaired gas exchange, fluid volume imbalance, and decreased functional ability.Heart failure can result from disruptions in the mechanisms that regulate cardiac output...
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
Heart Failure III: Clinical Manifestations01:26

Heart Failure III: Clinical Manifestations

Heart failure (HF) manifests primarily as dyspnea, fatigue, and fluid retention, resulting in peripheral and pulmonary edema. Symptoms may vary depending on which ventricle is more affected, left or right.Left-Sided Heart FailureAlso known as left ventricular failure, this condition results from the left ventricle's inability to fill or eject sufficient blood into the systemic circulation. It leads to pulmonary congestion, which occurs when the left ventricle fails to eject blood effectively...
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...

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Related Experiment Video

Updated: May 31, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Patient-specific modeling of dyssynchronous heart failure: a case study.

Jazmin Aguado-Sierra1, Adarsh Krishnamurthy, Christopher Villongco

  • 1Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA. jaguadosierra@ucsd.edu

Progress in Biophysics and Molecular Biology
|July 19, 2011
PubMed
Summary

Creating patient-specific heart models is now possible, aiding in diagnosis and treatment decisions for conditions like heart failure. Research focuses on improving these complex cardiac models for better clinical outcomes.

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Last Updated: May 31, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Area of Science:

  • Computational biology
  • Biomedical engineering
  • Cardiovascular research

Background:

  • Patient-specific heart models offer potential for improved diagnosis and clinical decision-making in cardiology.
  • Multi-scale cardiac models are being developed to understand therapeutic mechanisms and predict intervention outcomes, such as cardiac resynchronization therapy.

Purpose of the Study:

  • To describe the methodology for generating a patient-specific model of a failing heart with myocardial infarct and left ventricular bundle branch block.
  • To discuss challenges and identify future research directions in developing reliable patient-specific cardiac electromechanical models.

Main Methods:

  • Generating patient-specific geometric meshes and mapping myofiber architecture.
  • Modeling electrical activation patterns considering cellular alterations in heart failure.
  • Estimating regional tissue conductivities from electrocardiographic recordings.
  • Determining reference geometry and material properties for biomechanical simulations.
  • Parameterizing systemic circulatory dynamics models from hemodynamic measurements.

Main Results:

  • Methodology for creating a patient-specific model of a failing heart with myocardial infarct and left bundle branch block is presented.
  • Key challenges in developing accurate and reliable patient-specific cardiac models are identified.

Conclusions:

  • Developing patient-specific cardiac electromechanical models is feasible but faces several significant challenges.
  • Future research should focus on improving geometric accuracy, electrical modeling, biomechanical parameterization, and circulatory dynamics integration.