Patents by Inventor Andrew D. McCulloch

Andrew D. McCulloch 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: 20240047064
    Abstract: A method may include generating, based on a plurality of electrophysiology simulations such as electrical and/or electromechanical activation maps, one or more atlases including an activation time (AT) atlas and a vectorcardiogram (VCG) atlas. The atlases may be generated by applying a dimensionality reduction technique to include one or more modes of variation present in the electrophysiology simulations. The atlases may be applied to match a clinical vectorcardiogram of a patient to a simulated vectorcardiogram associated with an activation map included in the electrophysiology simulations. At least one of a diagnosis or treatment for the patient may be determined based on the activation map. Related systems and computer program products are also provided.
    Type: Application
    Filed: December 22, 2021
    Publication date: February 8, 2024
    Inventors: Kevin Vincent, Andrew D. McCulloch
  • 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: 11189092
    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 18, 2019
    Date of Patent: November 30, 2021
    Assignee: The Regents of the University of California
    Inventors: David 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: 20190304183
    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 18, 2019
    Publication date: October 3, 2019
    Inventors: David Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
  • 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
  • Publication number: 20130323761
    Abstract: In alternative embodiments, the invention provides methods for predicting or diagnosing a heart disease or a defect in cardiac muscle contractility in an individual, or a defect in rate of cardiac muscle twitch relaxation and/or ventricular torsion, or detecting a cardiac trauma, in an individual or in a cardiac cell, or (by testing) a serum or a blood sample. In alternative embodiments, the invention provides methods for screening for a composition that can treat, ameliorate, prevent or reverse a heart disease or a congestive heart failure in an individual, or a defect in cardiac muscle contractility, or a defect in rate of cardiac muscle twitch relaxation and/or ventricular torsion in an individual or a cardiac muscle cell.
    Type: Application
    Filed: November 9, 2011
    Publication date: December 5, 2013
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Farah Sheikh, Andrew D. McCulloch, Ju Chen