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).

  • Publication number: 20230290067
    Abstract: 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: Application
    Filed: May 16, 2023
    Publication date: September 14, 2023
    Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
  • Patent number: 11676340
    Abstract: 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: Grant
    Filed: June 6, 2022
    Date of Patent: June 13, 2023
    Assignee: The Regents of the University of California
    Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
  • Publication number: 20230026088
    Abstract: 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: Application
    Filed: June 6, 2022
    Publication date: January 26, 2023
    Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
  • Patent number: 11380055
    Abstract: 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: Grant
    Filed: March 7, 2019
    Date of Patent: July 5, 2022
    Assignee: The Regents of the University of California
    Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
  • Patent number: 10556113
    Abstract: 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: Grant
    Filed: June 19, 2015
    Date of Patent: February 11, 2020
    Assignee: The Regents of the University of California
    Inventors: Christopher T. Villongco, Jeffrey H. Omens, Andrew D. McCulloch, David E. Krummen
  • Publication number: 20190206127
    Abstract: 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: Application
    Filed: March 7, 2019
    Publication date: July 4, 2019
    Inventors: David E. Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
  • Patent number: 10319144
    Abstract: 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: Grant
    Filed: December 22, 2016
    Date of Patent: June 11, 2019
    Assignee: The Regents of the University of California
    Inventors: David E. Krummen, Andrew D. McCulloch, Christopher Villongco, Gordon Ho
  • Publication number: 20170209698
    Abstract: 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: Application
    Filed: June 19, 2015
    Publication date: July 27, 2017
    Inventors: Christopher T. Villongco, Jeffrey H. Omens, Andrew D. McCulloch, David E. Krummen
  • Publication number: 20170178403
    Abstract: 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: Application
    Filed: December 22, 2016
    Publication date: June 22, 2017
    Inventors: David E. Krummen, Andrew D. McCulloch, Christopher Villongco, Gordon Ho