Patents by Inventor David E. Krummen
David E. Krummen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20260127743Abstract: A method may include identifying a simulated three-dimensional representation corresponding to an internal anatomy of a subject based on a match between a computed two-dimensional image corresponding to the simulated three-dimensional representation and a two-dimensional image depicting the internal anatomy of the subject. Simulations of the electrical activities measured by a recording device with standard lead placement and nonstandard lead placement may be computed based on the simulated three-dimensional representation. A clinical electrogram and/or a clinical vectorgram for the subject may be corrected based on a difference between the simulations of electrical activities to account for deviations arising from patient-specific lead placement as well as variations in subject anatomy and pathophysiology.Type: ApplicationFiled: September 26, 2025Publication date: May 7, 2026Inventors: David E. Krummen, Christopher J. T. Villongco
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Patent number: 12543996Abstract: A method for localizing the source of an arrhythmia within a heart wall is disclosed. The method involves accessing an indication of the source location of the arrhythmia within the endocardium. A normal vector is generated that is normal to the endocardium at the source location in the direction of the epicardium layer. An activation vector indicating the direction of electrical force of the heart during an initial stage of depolarization is determined. The depth angle between the normal vector and the activation vector is determined, and the depth of the source location within the heart wall is indicated based on a depth angle.Type: GrantFiled: August 1, 2024Date of Patent: February 10, 2026Assignees: THE VEKTOR GROUP, INC., The Regents of the University of CaliforniaInventors: David E. Krummen, Robert Joseph Krummen, Christopher J. T. Villongco
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Publication number: 20250378642Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: ApplicationFiled: August 22, 2025Publication date: December 11, 2025Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Publication number: 20250325218Abstract: A method for localizing the source of an arrhythmia within a heart wall is disclosed. The method involves accessing an indication of the source location of the arrhythmia within the endocardium. A normal vector is generated that is normal to the endocardium at the source location in the direction of the epicardium layer. An activation vector indicating the direction of electrical force of the heart during an initial stage of depolarization is determined. The depth angle between the normal vector and the activation vector is determined, and the depth of the source location within the heart wall is indicated based on a depth angle.Type: ApplicationFiled: August 1, 2024Publication date: October 23, 2025Inventors: David E. Krummen, Robert Joseph Krummen, Christopher J. T. Villongco
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Publication number: 20250329113Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: ApplicationFiled: May 2, 2025Publication date: October 23, 2025Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Patent number: 12322044Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: GrantFiled: September 25, 2024Date of Patent: June 3, 2025Assignee: The Regents of the University of CaliforniaInventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Publication number: 20250014283Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: ApplicationFiled: September 25, 2024Publication date: January 9, 2025Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Patent number: 12131424Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: GrantFiled: May 16, 2023Date of Patent: October 29, 2024Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIAInventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Publication number: 20230290067Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: ApplicationFiled: May 16, 2023Publication date: September 14, 2023Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Patent number: 11676340Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: GrantFiled: June 6, 2022Date of Patent: June 13, 2023Assignee: The Regents of the University of CaliforniaInventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Publication number: 20230026088Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: ApplicationFiled: June 6, 2022Publication date: January 26, 2023Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Patent number: 11380055Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: GrantFiled: March 7, 2019Date of Patent: July 5, 2022Assignee: The Regents of the University of CaliforniaInventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Patent number: 10556113Abstract: In some example embodiments, there may be provided a method. The method may include receiving three-dimensional image data representative of a heart; receiving electrical data representative of an electrophysiology of the heart; and generating, based on the received three-dimensional image data and the received electrical data, a computational model of the heart. Related systems and articles of manufacture may also be provided.Type: GrantFiled: June 19, 2015Date of Patent: February 11, 2020Assignee: The Regents of the University of CaliforniaInventors: Christopher T. Villongco, Jeffrey H. Omens, Andrew D. McCulloch, David E. Krummen
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Publication number: 20190206127Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: ApplicationFiled: March 7, 2019Publication date: July 4, 2019Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
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Patent number: 10319144Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: GrantFiled: December 22, 2016Date of Patent: June 11, 2019Assignee: The Regents of the University of CaliforniaInventors: David E. Krummen, Andrew D. McCulloch, Christopher Villongco, Gordon Ho
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Publication number: 20170209698Abstract: In some example embodiments, there may be provided a method. The method may include receiving three-dimensional image data representative of a heart; receiving electrical data representative of an electrophysiology of the heart; and generating, based on the received three-dimensional image data and the received electrical data, a computational model of the heart. Related systems and articles of manufacture may also be provided.Type: ApplicationFiled: June 19, 2015Publication date: July 27, 2017Inventors: Christopher T. Villongco, Jeffrey H. Omens, Andrew D. McCulloch, David E. Krummen
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Publication number: 20170178403Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.Type: ApplicationFiled: December 22, 2016Publication date: June 22, 2017Inventors: David E. Krummen, Andrew D. McCulloch, Christopher Villongco, Gordon Ho