Electromechanical Heart Model
Electromechanical Heart Model - Related Videos
12:09
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Cited by 14 •
2013
A methodology to estimate ventricular fiber orientations from in vivo images of patient heart geometries for personalized modeling is described. Validation of the methodology performed using normal and failing canine hearts demonstrate that that there are no significant differences between estimated and acquired fiber orientations at a clinically observable level.
11:08
Revealing Electromechanical Control of Tissue Homeostasis Using a Two-Layer Microfluidic Device
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2025
Here, we present a protocol to fabricate a unique two-layer microfluidic device to study the electromechanical regulation of epithelial tissue homeostasis. The device applies static physiological electric currents perpendicular to the tissue plane, impacting cell-cell adhesion, proliferation, and extrusion. Live-cell imaging and mechanical stress measurements reveal mechanisms of these processes.
07:59
The Inverted Heart Model for Interstitial Transudate Collection from the Isolated Rat Heart
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2017
This protocol describes a method to collect cardiac interstitial fluid from the isolated, perfused rat heart. To physically separate interstitial transudate from coronary venous effluent perfusate, the Langendorff perfused heart is inverted, and the transudate (interstitial fluid) formed on the cardiac surface is collected using a soft latex cap.
12:52
Electromechanical Assessment of Optogenetically Modulated Cardiomyocyte Activity
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Cited by 7 •
2020
We present a protocol for evaluating the electromechanical effects of GtACR1 activation in rabbit cardiomyocytes. We provide detailed information on cell isolation, culturing and adenoviral transduction, and on functional experiments with the patch-clamp and carbon-fiber techniques.
09:45
An Isolated Working Heart System for Large Animal Models
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Cited by 22 •
2014
Most studies involving the Langendorff apparatus use small animal models due to the increased complexity of systems for larger mammals. We describe a Langendorff system for large animal models that allows for use across a range of species, including humans, and relatively easy data acquisition.
FAQs
Within the model, electrical signals propagate through cardiac tissue and initiate intracellular activation. That activation is linked to force generation, allowing the simulated heart muscle to contract. The resulting forces produce coordinated deformation of the chambers and a blood-pumping motion, so the model can trace a sequence from excitation to mechanical function.
Electrical propagation, intracellular activation, tissue properties, and stimulation conditions all influence the simulated mechanical response. Changing tissue properties or the way the heart is stimulated can alter contractile performance and chamber deformation. Examining those changes helps researchers investigate how modified cardiac conditions affect rhythm and pumping behavior.
Coupling these domains allows one framework to examine both the timing of electrical excitation and the resulting mechanical response. This matters because rhythm and contraction are represented as connected events rather than unrelated observations. In bioengineering, that connection supports analysis of contractile performance and chamber deformation under normal or altered stimulation.
Researchers represent electrical signal propagation, intracellular activation, force production, and chamber deformation, then examine the simulated response. They can evaluate normal rhythm and contractile performance or vary tissue properties and stimulation. The resulting comparisons provide a structured way to study changes in cardiac function while retaining the connection between electrical and mechanical behavior.
Outputs can include simulated rhythm, contractile performance, chamber deformation, and blood-pumping motion. Researchers can compare these outcomes when tissue properties or stimulation change, helping characterize altered cardiac behavior. The model therefore provides a computational basis for investigating how electrical and mechanical changes appear together during different cardiac conditions.
By linking electrical behavior with contraction, the model gives bioengineers a framework for examining cardiac responses relevant to device design and treatment planning. It also supports disease investigation and development of predictive tools for cardiovascular research. Its value lies in examining how changes in excitation or tissue behavior may influence overall mechanical performance.