Contributions to the Methodology of Electrocardiographic Imaging (ECGI) and Application of ECGI to Study Mechanisms of Atrial Arrhythmia, Post Myocardial Infarction Electrophysiological Substrate, and Ventricular Tachycardia in Patients

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  • Contributions to the Methodology of Electrocardiographic Imaging (ECGI) and Application of ECGI to Study Mechanisms of Atrial Arrhythmia, Post Myocardial Infarction Electrophysiological Substrate, and Ventricular Tachycardia in Patients Book Detail

  • Author : Yong Wang
  • Release Date : 2009
  • Publisher :
  • Genre : Electrocardiography
  • Pages : 0
  • ISBN 13 :
  • File Size : 54,54 MB
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Contributions to the Methodology of Electrocardiographic Imaging (ECGI) and Application of ECGI to Study Mechanisms of Atrial Arrhythmia, Post Myocardial Infarction Electrophysiological Substrate, and Ventricular Tachycardia in Patients by Yong Wang PDF Summary

Book Description: The spatial accuracy in determining initiation sites as simulated by atrial pacing was ä 6mm. ECGI imaged many activation patterns of commonly multiple wavelets (92%), with pulmonary vein (69%) and non-pulmonary vein (62%) trigger sites. Rotor activity was seen rarely (15%). AF complexity increased with longer clinical history of AF, though the degree of complexity of nonparoxysmal AF varied and overlapped. ECGI offers a way to identify unique epicardial activation patterns of AF in a patient-specific manner. The results are consistent with contemporary animal models of AF mechanisms and highlight the coexistence of a variety of mechanisms among patients.

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Electrocardiographic Imaging

Electrocardiographic Imaging

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Electrical activity in the myocardium coordinates the contraction of the heart, and its knowledge could lead to a better understanding, diagnosis, and treatment

Electrocardiographic Imaging

Electrocardiographic Imaging

File Size : 79,79 MB
Total View : 1545 Views
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Electrocardiographic Imaging (ECGI) is a novel noninvasive imaging modality for cardiac electrophysiology. ECGI involves the inverse problem of computing epicar