Novel Experimental Model for Studying the Spatiotemporal Electrical Signature of Acute Myocardial Ischemia: a Translational Platform

Overview

Journal Physiol Meas

Specialties Biomedical Engineering
Biophysics
Physiology

Date 2019 Dec 21

PMID 31860892

Citations 20

Authors

Brian Zenger

Wilson W Good

Jake A Bergquist

Brett M Burton

Jess D Tate

Leo Berkenbile

Vikas Sharma

Rob S MacLeod

Affiliations

Soon will be listed here.

Abstract

Objective: To improve this performance, we set out to develop an experimental preparation to induce, detect, and analyze bioelectric sources of myocardial ischemia and determine how these sources reflect changes in body-surface potential measurements.

Approach: We designed the experimental preparation with three important characteristics: (1) enable comprehensive and simultaneous high-resolution electrical recordings within the myocardial wall, on the heart surface, and on the torso surface; (2) develop techniques to visualize these recorded electrical signals in time and space; and (3) accurately and controllably simulate ischemic stress within the heart by modulating the supply of blood, the demand for perfusion, or a combination of both.

Main Results: To achieve these goals we designed comprehensive system that includes (1) custom electrode arrays (2) signal acquisition and multiplexing units, (3) a surgical technique to place electrical recording and myocardial ischemic control equipment, and (4) an image based modeling pipeline to acquire, process, and visualize the results. With this setup, we are uniquely able to capture simultaneously and continuously the electrical signatures of acute myocardial ischemia within the heart, on the heart surface, and on the body surface.

Significance: This novel experimental preparation enables investigation of the complex and dynamic nature of acute myocardial ischemia that should lead to new, clinically translatable results.

Citing Articles

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Capturing the Influence of Conduction Velocity on Epicardial Activation Patterns Using Uncertainty Quantification.

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High Density Body Surface Potential Mapping with Conducting Polymer-Eutectogel Electrode Arrays for ECG imaging.

Ruiz-Mateos Serrano R, Velasco-Bosom S, Dominguez-Alfaro A, Picchio M, Mantione D, Mecerreyes D Adv Sci (Weinh). 2023; 11(27):e2301176.

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Tipping the scales of understanding: An engineering approach to design and implement whole-body cardiac electrophysiology experimental models.

Zenger B, Bergquist J, Busatto A, Good W, Rupp L, Sharma V Front Physiol. 2023; 14:1100471.

PMID: 36744034 PMC: 9893785. DOI: 10.3389/fphys.2023.1100471.

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