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Showing 1 to 12 of 12 entries
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High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition.

Computing in cardiology

Zenger B, Bergquist JA, Good WW, Steadman B, MacLeod RS.
PMID: 33969144
Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.188. Epub 2021 Feb 10.

Capturing cardiac electrical propagation or electrocardiographic images demands simultaneous, multidomain recordings of electrocardiographic signals with adequate spatial and temporal resolution. Available systems can be cost-prohibitive or lack the necessary flexibility to capture signals from the heart and torso. We...

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Zenger B, Bergquist JA, Good WW, et al. High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition. Comput Cardiol (2010). 2021;47doi: 10.22489/cinc.2020.188.
Zenger, B., Bergquist, J. A., Good, W. W., Steadman, B., & MacLeod, R. S. (2020). High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition. Computing in cardiology, 47. https://doi.org/10.22489/cinc.2020.188
Zenger, Brian, et al. "High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition." Computing in cardiology vol. 47 (2020). doi: https://doi.org/10.22489/cinc.2020.188
Zenger B, Bergquist JA, Good WW, Steadman B, MacLeod RS. High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition. Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.188. Epub 2021 Feb 10. PMID: 33969144; PMCID: PMC8106231.
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Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation.

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH

Bergquist JA, Coll-Font J, Zenger B, Rupp LC, Good WW, Brooks DH, MacLeod RS.
PMID: 34447971
Funct Imaging Model Heart. 2021 Jun;12738:493-502. doi: 10.1007/978-3-030-78710-3_47. Epub 2021 Jun 18.

Electrocardiographic imaging (ECGI) is an effective tool for noninvasive diagnosis of a range of cardiac dysfunctions. ECGI leverages a model of how cardiac bioelectric sources appear on the torso surface (the forward problem) and uses recorded body surface potential...

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Bergquist JA, Coll-Font J, Zenger B, et al. Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation. Funct Imaging Model Heart. 2021;12738:493-502doi: 10.1007/978-3-030-78710-3_47.
Bergquist, J. A., Coll-Font, J., Zenger, B., Rupp, L. C., Good, W. W., Brooks, D. H., & MacLeod, R. S. (2021). Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation. Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH, 12738493-502. https://doi.org/10.1007/978-3-030-78710-3_47
Bergquist, Jake A, et al. "Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation." Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH vol. 12738 (2021): 493-502. doi: https://doi.org/10.1007/978-3-030-78710-3_47
Bergquist JA, Coll-Font J, Zenger B, Rupp LC, Good WW, Brooks DH, MacLeod RS. Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation. Funct Imaging Model Heart. 2021 Jun;12738:493-502. doi: 10.1007/978-3-030-78710-3_47. Epub 2021 Jun 18. PMID: 34447971; PMCID: PMC8385662.
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Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia.

Computing in cardiology

Zenger B, Bergquist JA, Good WW, Rupp LC, MacLeod RS.
PMID: 33937431
Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.190. Epub 2021 Feb 10.

Electrocardiographic imaging (ECGI) based detection of myocardial ischemia requires an accurate formulation of the source model, which includes a relationship between extracellular and transmembrane potentials (TMPs). In this study, we used high-resolution intramural experimental recordings and forward modeling to...

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Zenger B, Bergquist JA, Good WW, et al. Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia. Comput Cardiol (2010). 2021;47doi: 10.22489/cinc.2020.190.
Zenger, B., Bergquist, J. A., Good, W. W., Rupp, L. C., & MacLeod, R. S. (2020). Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia. Computing in cardiology, 47. https://doi.org/10.22489/cinc.2020.190
Zenger, Brian, et al. "Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia." Computing in cardiology vol. 47 (2020). doi: https://doi.org/10.22489/cinc.2020.190
Zenger B, Bergquist JA, Good WW, Rupp LC, MacLeod RS. Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia. Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.190. Epub 2021 Feb 10. PMID: 33937431; PMCID: PMC8084598.
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Data-Driven Space-Filling Curves.

IEEE transactions on visualization and computer graphics

Zhou L, Johnson CR, Weiskopf D.
PMID: 33048752
IEEE Trans Vis Comput Graph. 2021 Feb;27(2):1591-1600. doi: 10.1109/TVCG.2020.3030473. Epub 2021 Jan 28.

Abstract-We propose a data-driven space-filling curve method for 2D and 3D visualization. Our flexible curve traverses the data elements in the spatial domain in a way that the resulting linearization better preserves features in space compared to existing methods....

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Zhou L, Johnson CR, Weiskopf D. Data-Driven Space-Filling Curves. IEEE Trans Vis Comput Graph. 2021;27(2):1591-1600doi: 10.1109/TVCG.2020.3030473.
Zhou, L., Johnson, C. R., & Weiskopf, D. (2021). Data-Driven Space-Filling Curves. IEEE transactions on visualization and computer graphics, 27(2), 1591-1600. https://doi.org/10.1109/TVCG.2020.3030473
Zhou, Liang, et al. "Data-Driven Space-Filling Curves." IEEE transactions on visualization and computer graphics vol. 27,2 (2021): 1591-1600. doi: https://doi.org/10.1109/TVCG.2020.3030473
Zhou L, Johnson CR, Weiskopf D. Data-Driven Space-Filling Curves. IEEE Trans Vis Comput Graph. 2021 Feb;27(2):1591-1600. doi: 10.1109/TVCG.2020.3030473. Epub 2021 Jan 28. PMID: 33048752; PMCID: PMC8464196.
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Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism.

Journal of electrocardiology

Zenger B, Good WW, Bergquist JA, Rupp LC, Perez M, Stoddard GJ, Sharma V, MacLeod RS.
PMID: 34384615
J Electrocardiol. 2021 Nov-Dec;69:38-44. doi: 10.1016/j.jelectrocard.2021.07.007. Epub 2021 Jul 21.

BACKGROUND: Acute myocardial ischemia has several characteristic ECG findings, including clinically detectable ST-segment deviations. However, the sensitivity and specificity of diagnosis based on ST-segment changes are low. Furthermore, ST-segment deviations have been shown to be transient and spontaneously recover...

Cite
Zenger B, Good WW, Bergquist JA, et al. Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. J Electrocardiol. 2021;69:38-44doi: 10.1016/j.jelectrocard.2021.07.007.
Zenger, B., Good, W. W., Bergquist, J. A., Rupp, L. C., Perez, M., Stoddard, G. J., Sharma, V., & MacLeod, R. S. (2021). Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. Journal of electrocardiology, 6938-44. https://doi.org/10.1016/j.jelectrocard.2021.07.007
Zenger, Brian, et al. "Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism." Journal of electrocardiology vol. 69 (2021): 38-44. doi: https://doi.org/10.1016/j.jelectrocard.2021.07.007
Zenger B, Good WW, Bergquist JA, Rupp LC, Perez M, Stoddard GJ, Sharma V, MacLeod RS. Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. J Electrocardiol. 2021 Nov-Dec;69:38-44. doi: 10.1016/j.jelectrocard.2021.07.007. Epub 2021 Jul 21. PMID: 34384615; PMCID: PMC8664997.
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Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques.

Computing in cardiology

Bergquist JA, Zenger B, Good WW, Rupp LC, Bear LR, MacLeod RS.
PMID: 33937428
Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.458. Epub 2021 Feb 10.

Electrocardiographic imaging (ECGI) systems are still plagued by a myriad of controllable and uncontrollable sources of error, which makes studying and improving these systems difficult. To mitigate these errors, we developed a novel experimental preparation using a rigid pericardiac...

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Bergquist JA, Zenger B, Good WW, et al. Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques. Comput Cardiol (2010). 2021;47doi: 10.22489/cinc.2020.458.
Bergquist, J. A., Zenger, B., Good, W. W., Rupp, L. C., Bear, L. R., & MacLeod, R. S. (2020). Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques. Computing in cardiology, 47. https://doi.org/10.22489/cinc.2020.458
Bergquist, Jake A, et al. "Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques." Computing in cardiology vol. 47 (2020). doi: https://doi.org/10.22489/cinc.2020.458
Bergquist JA, Zenger B, Good WW, Rupp LC, Bear LR, MacLeod RS. Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques. Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.458. Epub 2021 Feb 10. PMID: 33937428; PMCID: PMC8082331.
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Improving Localization of Cardiac Geometry Using ECGI.

Computing in cardiology

Bergquist JA, Coll-Font J, Zenger B, Rupp LC, Good WW, Brooks DH, MacLeod RS.
PMID: 33937429
Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.273. Epub 2021 Feb 10.

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 method to localize the heart when body and heart surface potentials...

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Bergquist JA, Coll-Font J, Zenger B, et al. Improving Localization of Cardiac Geometry Using ECGI. Comput Cardiol (2010). 2021;47doi: 10.22489/cinc.2020.273.
Bergquist, J. A., Coll-Font, J., Zenger, B., Rupp, L. C., Good, W. W., Brooks, D. H., & MacLeod, R. S. (2020). Improving Localization of Cardiac Geometry Using ECGI. Computing in cardiology, 47. https://doi.org/10.22489/cinc.2020.273
Bergquist, Jake A, et al. "Improving Localization of Cardiac Geometry Using ECGI." Computing in cardiology vol. 47 (2020). doi: https://doi.org/10.22489/cinc.2020.273
Bergquist JA, Coll-Font J, Zenger B, Rupp LC, Good WW, Brooks DH, MacLeod RS. Improving Localization of Cardiac Geometry Using ECGI. Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.273. Epub 2021 Feb 10. PMID: 33937429; PMCID: PMC8082332.
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Photographic High-Dynamic-Range Scalar Visualization.

IEEE transactions on visualization and computer graphics

Zhou L, Rivinius M, Johnson CR, Weiskopf D.
PMID: 32175863
IEEE Trans Vis Comput Graph. 2020 Jun;26(6):2156-2167. doi: 10.1109/TVCG.2020.2970522. Epub 2020 Mar 13.

We propose a photographic method to show scalar values of high dynamic range (HDR) by color mapping for 2D visualization. We combine (1) tone-mapping operators that transform the data to the display range of the monitor while preserving perceptually...

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Zhou L, Rivinius M, Johnson CR, et al. Photographic High-Dynamic-Range Scalar Visualization. IEEE Trans Vis Comput Graph. 2020;26(6):2156-2167doi: 10.1109/TVCG.2020.2970522.
Zhou, L., Rivinius, M., Johnson, C. R., & Weiskopf, D. (2020). Photographic High-Dynamic-Range Scalar Visualization. IEEE transactions on visualization and computer graphics, 26(6), 2156-2167. https://doi.org/10.1109/TVCG.2020.2970522
Zhou, Liang, et al. "Photographic High-Dynamic-Range Scalar Visualization." IEEE transactions on visualization and computer graphics vol. 26,6 (2020): 2156-2167. doi: https://doi.org/10.1109/TVCG.2020.2970522
Zhou L, Rivinius M, Johnson CR, Weiskopf D. Photographic High-Dynamic-Range Scalar Visualization. IEEE Trans Vis Comput Graph. 2020 Jun;26(6):2156-2167. doi: 10.1109/TVCG.2020.2970522. Epub 2020 Mar 13. PMID: 32175863; PMCID: PMC8500312.
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Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds.

Computing in cardiology

Good WW, Zenger B, Bergquist JA, Rupp LC, Gillette K, Plank G, MacLeod RS.
PMID: 33937430
Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.279. Epub 2021 Feb 10.

Acute myocardial ischemia compromises the ordered electrical activation of the heart, however, because of sampling limitations, volumetric changes in activation have not been measured. We used a large-animal experimental model and high-resolution volumetric mapping to study the effects of...

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Good WW, Zenger B, Bergquist JA, et al. Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds. Comput Cardiol (2010). 2021;47doi: 10.22489/cinc.2020.279.
Good, W. W., Zenger, B., Bergquist, J. A., Rupp, L. C., Gillette, K., Plank, G., & MacLeod, R. S. (2020). Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds. Computing in cardiology, 47. https://doi.org/10.22489/cinc.2020.279
Good, Wilson W, et al. "Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds." Computing in cardiology vol. 47 (2020). doi: https://doi.org/10.22489/cinc.2020.279
Good WW, Zenger B, Bergquist JA, Rupp LC, Gillette K, Plank G, MacLeod RS. Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds. Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.279. Epub 2021 Feb 10. PMID: 33937430; PMCID: PMC8082333.
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Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism.

Journal of electrocardiology

Zenger B, Good WW, Bergquist JA, Rupp LC, Perez M, Stoddard GJ, Sharma V, MacLeod RS.
PMID: 34384615
J Electrocardiol. 2021 Nov-Dec;69:38-44. doi: 10.1016/j.jelectrocard.2021.07.007. Epub 2021 Jul 21.

BACKGROUND: Acute myocardial ischemia has several characteristic ECG findings, including clinically detectable ST-segment deviations. However, the sensitivity and specificity of diagnosis based on ST-segment changes are low. Furthermore, ST-segment deviations have been shown to be transient and spontaneously recover...

Cite
Zenger B, Good WW, Bergquist JA, et al. Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. J Electrocardiol. 2021;69:38-44doi: 10.1016/j.jelectrocard.2021.07.007.
Zenger, B., Good, W. W., Bergquist, J. A., Rupp, L. C., Perez, M., Stoddard, G. J., Sharma, V., & MacLeod, R. S. (2021). Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. Journal of electrocardiology, 6938-44. https://doi.org/10.1016/j.jelectrocard.2021.07.007
Zenger, Brian, et al. "Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism." Journal of electrocardiology vol. 69 (2021): 38-44. doi: https://doi.org/10.1016/j.jelectrocard.2021.07.007
Zenger B, Good WW, Bergquist JA, Rupp LC, Perez M, Stoddard GJ, Sharma V, MacLeod RS. Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. J Electrocardiol. 2021 Nov-Dec;69:38-44. doi: 10.1016/j.jelectrocard.2021.07.007. Epub 2021 Jul 21. PMID: 34384615; PMCID: PMC8664997.
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Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism.

Journal of electrocardiology

Zenger B, Good WW, Bergquist JA, Rupp LC, Perez M, Stoddard GJ, Sharma V, MacLeod RS.
PMID: 34384615
J Electrocardiol. 2021 Nov-Dec;69:38-44. doi: 10.1016/j.jelectrocard.2021.07.007. Epub 2021 Jul 21.

BACKGROUND: Acute myocardial ischemia has several characteristic ECG findings, including clinically detectable ST-segment deviations. However, the sensitivity and specificity of diagnosis based on ST-segment changes are low. Furthermore, ST-segment deviations have been shown to be transient and spontaneously recover...

Cite
Zenger B, Good WW, Bergquist JA, et al. Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. J Electrocardiol. 2021;69:38-44doi: 10.1016/j.jelectrocard.2021.07.007.
Zenger, B., Good, W. W., Bergquist, J. A., Rupp, L. C., Perez, M., Stoddard, G. J., Sharma, V., & MacLeod, R. S. (2021). Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. Journal of electrocardiology, 6938-44. https://doi.org/10.1016/j.jelectrocard.2021.07.007
Zenger, Brian, et al. "Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism." Journal of electrocardiology vol. 69 (2021): 38-44. doi: https://doi.org/10.1016/j.jelectrocard.2021.07.007
Zenger B, Good WW, Bergquist JA, Rupp LC, Perez M, Stoddard GJ, Sharma V, MacLeod RS. Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism. J Electrocardiol. 2021 Nov-Dec;69:38-44. doi: 10.1016/j.jelectrocard.2021.07.007. Epub 2021 Jul 21. PMID: 34384615; PMCID: PMC8664997.
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Effect of Myocardial Fiber Direction on Epicardial Activation Patterns.

Computing in cardiology

Rupp LC, Good WW, Bergquist JA, Zenger B, Gillette K, Plank G, MacLeod RS.
PMID: 33937432
Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.399. Epub 2021 Feb 10.

Fiber structure governs the spread of excitation in the heart, however, little is known about the effects of physiological variability in the fiber orientation on epicardial activation. To investigate these effects, we used computer simulation to compare ventricular activation...

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Rupp LC, Good WW, Bergquist JA, et al. Effect of Myocardial Fiber Direction on Epicardial Activation Patterns. Comput Cardiol (2010). 2021;47doi: 10.22489/cinc.2020.399.
Rupp, L. C., Good, W. W., Bergquist, J. A., Zenger, B., Gillette, K., Plank, G., & MacLeod, R. S. (2020). Effect of Myocardial Fiber Direction on Epicardial Activation Patterns. Computing in cardiology, 47. https://doi.org/10.22489/cinc.2020.399
Rupp, Lindsay C, et al. "Effect of Myocardial Fiber Direction on Epicardial Activation Patterns." Computing in cardiology vol. 47 (2020). doi: https://doi.org/10.22489/cinc.2020.399
Rupp LC, Good WW, Bergquist JA, Zenger B, Gillette K, Plank G, MacLeod RS. Effect of Myocardial Fiber Direction on Epicardial Activation Patterns. Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.399. Epub 2021 Feb 10. PMID: 33937432; PMCID: PMC8084599.
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Showing 1 to 12 of 12 entries