Vektor Medical, Inc.

University of California

The Vektor Group, Inc.

Christopher T Villongco

David E Krummen

Andrew D McCulloch

Gordon Ho

Alexander Michael Monko

Jeffrey H Omens

Sanjiv Narayan

Adarsh Krishnamurthy

Roy Kerckhoffs

Kurt Hoffmayer

Andrew D Mcculloch

Jeffrey Omens

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

Augmentation of images with source locations

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.

Computational simulations of anatomical structures and body surface electrode positioning

User interface for presenting simulated anatomies of an electromagnetic source

A non-invasive method for cardiac arrhythmia risk stratification may include identifying, based at least on an electrical recording of a patient, a cardiac depolarization simulation and a cardiac repolarization simulation corresponding to an electrical recording of a patient. One or more regions of increased spatial repolarization gradient in which a first area of a myocardium of the patient exhibits a first repolarization rate that differs from a second repolarization rate of a second area of the myocardium by an amount then divided by the spatial distance between the two regions, by a threshold value may be determined based on the cardiac depolarization simulation and the cardiac repolarization simulation. A risk of cardiac arrhythmia for the patient may be determined based a magnitude of the increased spatial repolarization gradient. Moreover, a treatment plan for the patient may be determined based on the magnitude and/or location of the increased spatial repolarization gradient.

Computational cardiac depolarization and repolarization simulation library mapping for non-invasive arrhythmia risk stratification

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.

Computational localization of fibrillation sources

Bootstrapping a simulation-based electromagnetic output of a different anatomy

Classification relating to atrial fibrillation based on electrocardiogram and non-electrocardiogram features

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. In alternative embodiments, provided are products comprising a remote communication device for remotely and operably interacting with a programmable implantable cardioverter-defibrillator (ICD) or CRT-D including a defibrillator in case defibrillation is needed, an implantable defibrillator, a dual-chamber defibrillator or a single-chamber defibrillator, or a CRT-P where there is no defibrillator but the CRT-P has a pacing system alone without the defibrillator.

Compositions, devices and methods for diagnosing heart failure and for patient-specific modeling to predict outcomes of cardiac resynchronization therapy

A system is provided for displaying heart graphic information relating to sources and source locations of a heart disorder to assist in evaluation of the heart disorder. A heart graphic display system provides an intra-cardiogram similarity ('ICS') graphic and a source location (“SL”) graphic. The ICS graphic includes a grid with the x-axis and y-axis representing patient cycles of a patient cardiogram with the intersections of the patient cycle identifiers indicating similarity between the patient cycles. The SL graphic provides a representation of a heart with source locations indicated. The source locations are identified based on similarity of a patient cycle to library cycles of a library cardiogram of a library of cardiograms.

Heart graphic display system

Identify ablation pattern for use in an ablation

A system is provided for displaying heart graphic information relating to sources and source locations of a heart disorder to assist in evaluation of the heart disorder. A heart graphic display system provides an intra-cardiogram similarity ('ICS') graphic and a source location ('SL') graphic. The ICS graphic includes a grid with the x-axis and y-axis representing patient cycles of a patient cardiogram with the intersections of the patient cycle identifiers indicating similarity between the patient cycles. The SL graphic provides a representation of a heart with source locations indicated. The source locations are identified based on similarity of a patient cycle to library cycles of a library cardiogram of a library of cardiograms.

Growing community of inventors

San Diego, CA, United States of America

Christopher T Villongco