A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model

Computational modeling of the whole human heart has become a valuable tool to evaluate medical devices such as leadless pacemakers, annuloplasty rings and left ventricular assist devices, since it is often difficult to replicate the complex dynamic interactions between the device and human heart in...

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Main Authors: Jiang Yao, Shawn Chen, Julius M. Guccione
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Bioengineering
Subjects:
Online Access:https://www.mdpi.com/2306-5354/9/8/334
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author Jiang Yao
Shawn Chen
Julius M. Guccione
author_facet Jiang Yao
Shawn Chen
Julius M. Guccione
author_sort Jiang Yao
collection DOAJ
description Computational modeling of the whole human heart has become a valuable tool to evaluate medical devices such as leadless pacemakers, annuloplasty rings and left ventricular assist devices, since it is often difficult to replicate the complex dynamic interactions between the device and human heart in bench-top and animal tests. The Dassault Systèmes Living Heart Human Model (LHHM) is a finite-element model of whole-human-heart electromechanics that has input parameters that were previously calibrated to generate physiological responses in a healthy heart beating at 60 beat/min (resting state). This study demonstrates that, by adjusting only six physiologically meaningful parameters, the LHHM can be recalibrated to generate physiological responses in a healthy heart beating at heart rates ranging from 90–160 beat/min. These parameters are as follows: the sinoatrial node firing period decreases from 0.67 s at 90 bpm to 0.38 s at 160 bpm, atrioventricular delay decreases from 0.122 s at 90 bpm to 0.057 s at 160 bpm, preload increases 3-fold from 90 bpm to 160 bpm, body resistance at 160 bpm is 80% of that at 90 bpm, arterial stiffness at 160 bpm is 3.9 times that at 90 bpm, and a parameter relating myofiber twitch force duration and sarcomere length decreases from 238 ms/mm at 90 bpm to 175 ms/mm at 160 bpm. In addition, this study demonstrates the feasibility of using the LHHM to conduct clinical investigations in AV delay optimization and hemodynamic differences between pacing and exercise. AV delays in the ranges of 40 ms to 250 ms were simulated and stroke volume and systolic blood pressure showed clear peaks at 120 ms for 90 bpm. For a heart during exercise, the increase in cardiac output continues to 160 bpm. However, for a heart during pacing, those physiological parameter adjustments are removed that are related to changes in body oxygen requirements (preload, arterial stiffness and body resistance). Consequently, cardiac output increases initially with heart rate; as the heart rate goes up (>100 bpm), the increasing rate of cardiac output slows down and approaches a plateau.
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spelling doaj.art-a3b50fcff64647fc82f3d35fb1fcdb0b2023-12-01T23:24:55ZengMDPI AGBioengineering2306-53542022-07-019833410.3390/bioengineering9080334A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart ModelJiang Yao0Shawn Chen1Julius M. Guccione2Dassault Systèmes, Johnston, RI 02919, USAAbbott, Sylmar, CA 91342, USADepartment of Surgery, University of California at San Francisco, San Francisco, CA 94143, USAComputational modeling of the whole human heart has become a valuable tool to evaluate medical devices such as leadless pacemakers, annuloplasty rings and left ventricular assist devices, since it is often difficult to replicate the complex dynamic interactions between the device and human heart in bench-top and animal tests. The Dassault Systèmes Living Heart Human Model (LHHM) is a finite-element model of whole-human-heart electromechanics that has input parameters that were previously calibrated to generate physiological responses in a healthy heart beating at 60 beat/min (resting state). This study demonstrates that, by adjusting only six physiologically meaningful parameters, the LHHM can be recalibrated to generate physiological responses in a healthy heart beating at heart rates ranging from 90–160 beat/min. These parameters are as follows: the sinoatrial node firing period decreases from 0.67 s at 90 bpm to 0.38 s at 160 bpm, atrioventricular delay decreases from 0.122 s at 90 bpm to 0.057 s at 160 bpm, preload increases 3-fold from 90 bpm to 160 bpm, body resistance at 160 bpm is 80% of that at 90 bpm, arterial stiffness at 160 bpm is 3.9 times that at 90 bpm, and a parameter relating myofiber twitch force duration and sarcomere length decreases from 238 ms/mm at 90 bpm to 175 ms/mm at 160 bpm. In addition, this study demonstrates the feasibility of using the LHHM to conduct clinical investigations in AV delay optimization and hemodynamic differences between pacing and exercise. AV delays in the ranges of 40 ms to 250 ms were simulated and stroke volume and systolic blood pressure showed clear peaks at 120 ms for 90 bpm. For a heart during exercise, the increase in cardiac output continues to 160 bpm. However, for a heart during pacing, those physiological parameter adjustments are removed that are related to changes in body oxygen requirements (preload, arterial stiffness and body resistance). Consequently, cardiac output increases initially with heart rate; as the heart rate goes up (>100 bpm), the increasing rate of cardiac output slows down and approaches a plateau.https://www.mdpi.com/2306-5354/9/8/334AV delaycomputational modelingexerciseleadless pacemakersnormal cardiac physiologyregional electromechanics
spellingShingle Jiang Yao
Shawn Chen
Julius M. Guccione
A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model
Bioengineering
AV delay
computational modeling
exercise
leadless pacemakers
normal cardiac physiology
regional electromechanics
title A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model
title_full A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model
title_fullStr A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model
title_full_unstemmed A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model
title_short A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model
title_sort computationally efficient approach to simulate heart rate effects using a whole human heart model
topic AV delay
computational modeling
exercise
leadless pacemakers
normal cardiac physiology
regional electromechanics
url https://www.mdpi.com/2306-5354/9/8/334
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