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).
-
Patent number: 12042250Abstract: In alternative embodiments, provided are compositions, medical devices or products of manufacture, systems, diagnostic tools, and methods, including computer implemented methods, for predicting the response of patients with dyssynchronous heart failure (DHF) to cardiac resynchronization therapy (CRT), comprising: measuring or determining the fraction of the LV/septum performing negative work (MNW); and measuring or determining the coefficient of variation of external work density (COVW), wherein the MNW fraction performing negative work and coefficient of variation COVW (sd/mean) correlated strongly with observed reduction in end-systolic volume after CRT.Type: GrantFiled: November 14, 2014Date of Patent: July 23, 2024Assignee: The Regents of the University of CaliforniaInventors: Andrew D. McCulloch, Adarsh Krishnamurthy, Christopher Villongco, David Krummen, Sanjiv Narayan, Jeffrey Omens, Roy Kerckhoffs
-
Publication number: 20240047064Abstract: 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: ApplicationFiled: December 22, 2021Publication date: February 8, 2024Inventors: Kevin Vincent, Andrew D. McCulloch
-
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
-
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
-
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
-
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
-
Patent number: 11189092Abstract: 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 18, 2019Date of Patent: November 30, 2021Assignee: The Regents of the University of CaliforniaInventors: David Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
-
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
-
Publication number: 20190304183Abstract: 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 18, 2019Publication date: October 3, 2019Inventors: David Krummen, Andrew D. McCulloch, Christopher T. Villongco, Gordon Ho
-
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
-
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
-
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
-
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
-
Publication number: 20130323761Abstract: 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: ApplicationFiled: November 9, 2011Publication date: December 5, 2013Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIAInventors: Farah Sheikh, Andrew D. McCulloch, Ju Chen