Improving localization of cardiac geometry using ECGI

JA Bergquist, J Coll-Font, B Zenger… - 2020 Computing in …, 2020 - ieeexplore.ieee.org
Introduction: Electrocardiographic imaging (ECGI) requires a model of the torso, and
inaccuracy in the position of the heart is a known source of error. We previously presented a …
被引用次数：8 相关文章
[HTML] nih.gov

[HTML][HTML] Improving Localization of Cardiac Geometry Using ECGI

JA Bergquist, J Coll-Font, B Zenger… - Computing in …, 2020 - ncbi.nlm.nih.gov
Methods: We used an iterative coordinate descent optimization to estimate the positions of
the heart for several consecutive heartbeats relying on the assumption that the epicardial …

Improving Localization of Cardiac Geometry Using ECGI.

JA Bergquist, J Coll-Font, B Zenger, LC Rupp… - Computing in …, 2020 - europepmc.org
Methods: We used an iterative coordinate descent optimization to estimate the positions of
the heart for several consecutive heartbeats relying on the assumption that the epicardial …

Improving Localization of Cardiac Geometry Using ECGI

JA Bergquist, J Coll-Font, B Zenger… - Computing in …, 2020 - pubmed.ncbi.nlm.nih.gov
Introduction Electrocardiographic imaging (ECGI) requires a model of the torso, and
inaccuracy in the position of the heart is a known source of error. We previously presented a …
[PDF] cinc.org

[PDF][PDF] Improving Localization of Cardiac Geometry Using ECGI

JA Bergquist, J Coll-Font, B Zenger, LC Rupp… - cinc.org
Introduction: Electrocardiographic imaging (ECGI) requires a model of the torso, and
inaccuracy in the position of the heart is a known source of error. We previously presented a …