Literature DB >> 26997739

Electrographic Response of the Heart to Myocardial Ischemia.

K K Aras1, S Shome2, D J Swenson1, J Stinstra3, R S MacLeod1.   

Abstract

Electrocardiographic (ECG) ST segment shifts are often used as markers for detecting myocardial ischemia. Literature suggests that the progression of ischemia, occurs from the endocardium and spreads towards the epicardium, eventually becoming transmural. Our study with animal models has found the progression of ischemia, characterized by ST elevations to be more complex and heterogeneous in its distribution. We used in situ canine preparations, wherein the animals were subjected to demand ischemia by reducing coronary flow and raising the heart rate through atrial pacing. At reduced flow, increasing the heart rate caused pockets of ST elevations to appear variously distributed in the sub-epicardial, midmyocardial and endocardial regions. Further reduction in coronary flow with simultaneous raising of the heart rate, increased the extent and magnitude of ST elevated regions, that in certain cases became transmural.

Entities:  

Year:  2009        PMID: 26997739      PMCID: PMC4795003     

Source DB:  PubMed          Journal:  Comput Cardiol        ISSN: 0276-6574


  4 in total

Review 1.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association.

Authors:  Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Warren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani
Journal:  Circulation       Date:  2002-01-29       Impact factor: 29.690

2.  Fiberglass needle electrodes for transmural cardiac mapping.

Authors:  Jack M Rogers; Sharon B Melnick; Jian Huang
Journal:  IEEE Trans Biomed Eng       Date:  2002-12       Impact factor: 4.538

3.  Epicardial excitation during ventricular pacing. Relative independence of breakthrough sites from excitation sequence in canine right ventricle.

Authors:  G Arisi; E Macchi; C Corradi; R L Lux; B Taccardi
Journal:  Circ Res       Date:  1992-10       Impact factor: 17.367

4.  Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image-based models and application examples.

Authors:  R S MacLeod; J G Stinstra; S Lew; R T Whitaker; D J Swenson; M J Cole; J Krüger; D H Brooks; C R Johnson
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-06-13       Impact factor: 4.226

  4 in total
  3 in total

1.  Uncertainty Visualization in Forward and Inverse Cardiac Models.

Authors:  Brett M Burton; Burak Erem; Kristin Potter; Paul Rosen; Chris R Johnson; Dana H Brooks; Rob S Macleod
Journal:  Comput Cardiol (2010)       Date:  2013

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

Authors:  Brian Zenger; Wilson W Good; Jake A Bergquist; Brett M Burton; Jess D Tate; Leo Berkenbile; Vikas Sharma; Rob S MacLeod
Journal:  Physiol Meas       Date:  2020-02-05       Impact factor: 2.833

3.  ECG-Based Detection of Early Myocardial Ischemia in a Computational Model: Impact of Additional Electrodes, Optimal Placement, and a New Feature for ST Deviation.

Authors:  Axel Loewe; Walther H W Schulze; Yuan Jiang; Mathias Wilhelms; Armin Luik; Olaf Dössel; Gunnar Seemann
Journal:  Biomed Res Int       Date:  2015-10-26       Impact factor: 3.411

  3 in total

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