Novel experimental model for studying the spatiotemporal electrical signature of acute myocardial ischemia: a translational platform.


Journal

Physiological measurement
ISSN: 1361-6579
Titre abrégé: Physiol Meas
Pays: England
ID NLM: 9306921

Informations de publication

Date de publication:
05 02 2020
Historique:
pubmed: 21 12 2019
medline: 30 12 2020
entrez: 21 12 2019
Statut: epublish

Résumé

Myocardial ischemia is one of the most common cardiovascular pathologies and can indicate many severe and life threatening diseases. Despite these risks, current electrocardiographic detection techniques for ischemia are mediocre at best, with reported sensitivity and specificity ranging from 50%-70% and 70%-90%, respectively. 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. 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. 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. This novel experimental preparation enables investigation of the complex and dynamic nature of acute myocardial ischemia that should lead to new, clinically translatable results.

Identifiants

pubmed: 31860892
doi: 10.1088/1361-6579/ab64b9
pmc: PMC8056277
mid: NIHMS1691389
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

015002

Subventions

Organisme : NHLBI NIH HHS
ID : F30 HL149327
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103545
Pays : United States
Organisme : NIGMS NIH HHS
ID : R24 GM136986
Pays : United States

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Auteurs

Brian Zenger (B)

Scientific Computing and Imaging Institute, SLC, UT, United States of America. Nora Eccles Cardiovascular Research and Training Institute, SLC, UT, United States of America. School of Medicine, University of Utah, SLC, UT, United States of America. Department of Biomedical Engineering, University of Utah, SLC, UT, United States of America. Author to whom any correspondence should be addressed.

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Classifications MeSH