EP_SOLUTIONS_pt_24
For more information and if this dataset is used for analysis please refer to and cite the following publication:
Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
Species: Human
Keywords:
Software:
Papers To Cite When Using Dataset:
1) Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
2) Aras, Kedar & Good, Wilson & Tate, Jess & Burton, Brett & Brooks, Dana & Coll-Font, Jaume & Doessel, Olaf & Schulze, Walther H W & Potyagaylo, Danila & Wang, Linwei & Dam, Peter & MacLeod, Rob. (2015). Experimental Data and Geometric Analysis Repository-EDGAR. Journal of electrocardiology. 48. https://doi.org/10.1016/j.jelectrocard.2015.08.008
EP_SOLUTIONS_pt_26
For more information and if this dataset is used for analysis please refer to and cite the following publication:
Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
Species: Human
Keywords:
Software:
Papers To Cite When Using Dataset:
1) Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
2) Aras, Kedar & Good, Wilson & Tate, Jess & Burton, Brett & Brooks, Dana & Coll-Font, Jaume & Doessel, Olaf & Schulze, Walther H W & Potyagaylo, Danila & Wang, Linwei & Dam, Peter & MacLeod, Rob. (2015). Experimental Data and Geometric Analysis Repository-EDGAR. Journal of electrocardiology. 48. https://doi.org/10.1016/j.jelectrocard.2015.08.008
EP_SOLUTIONS_pt_27
For more information and if this dataset is used for analysis please refer to and cite the following publication:
Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
Species: Human
Keywords:
Software:
Papers To Cite When Using Dataset:
1) Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
2) Aras, Kedar & Good, Wilson & Tate, Jess & Burton, Brett & Brooks, Dana & Coll-Font, Jaume & Doessel, Olaf & Schulze, Walther H W & Potyagaylo, Danila & Wang, Linwei & Dam, Peter & MacLeod, Rob. (2015). Experimental Data and Geometric Analysis Repository-EDGAR. Journal of electrocardiology. 48. https://doi.org/10.1016/j.jelectrocard.2015.08.008
EP_SOLUTIONS_pt_33
For more information and if this dataset is used for analysis please refer to and cite the following publication:
Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
Species: Human
Keywords:
Software:
Papers To Cite When Using Dataset:
1) Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
2) Aras, Kedar & Good, Wilson & Tate, Jess & Burton, Brett & Brooks, Dana & Coll-Font, Jaume & Doessel, Olaf & Schulze, Walther H W & Potyagaylo, Danila & Wang, Linwei & Dam, Peter & MacLeod, Rob. (2015). Experimental Data and Geometric Analysis Repository-EDGAR. Journal of electrocardiology. 48. https://doi.org/10.1016/j.jelectrocard.2015.08.008
EP_SOLUTIONS_pt_36
For more information and if this dataset is used for analysis please refer to and cite the following publication:
Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
Species: Human
Keywords:
Software:
Papers To Cite When Using Dataset:
1) Potyagaylo D, Chmelevsky M et al. ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients, Frontiers Physiol 2019 (10)
2) Aras, Kedar & Good, Wilson & Tate, Jess & Burton, Brett & Brooks, Dana & Coll-Font, Jaume & Doessel, Olaf & Schulze, Walther H W & Potyagaylo, Danila & Wang, Linwei & Dam, Peter & MacLeod, Rob. (2015). Experimental Data and Geometric Analysis Repository-EDGAR. Journal of electrocardiology. 48. https://doi.org/10.1016/j.jelectrocard.2015.08.008
KIT-2020-SimVentrPacings-FiveSourceModels
This datasets contains excitation simulations of pacings at three locations in the ventricles (LV lateral wall, RV lateral wall and RV septal wall). Pacings were simulated under physiological conditions (no scars) and pathological conditions (various configurations of lines of block at the interventricular junction and round scar patches on the LV lateral wall). All simulations were performed on the same geometry. For each case, five different types of source signals are provided: Transmembrane voltages, epi- and endocardial extracellular potentials (EPs), pericardial EPs, epi- and endocardial equivalent single layer (ESL) sources and pericardial ESL sources. Source signals and corresponding forward matrices are provided for 3 different cardiac mesh resolutions.
These simulations were originally designed to study the occurence of artificial lines of block and the detection of real lines of block in ECGI-derived activation maps. However, they can also be used to compare different source models and resolutions on a common dataset.
Species: Human
Keywords: Simulated ventricular pacings, with and without scars, 5 surface source models, 3 resolutions, BEM
Software: SCIRun, map3d