St. Jude Medical, Cardiology Division, Inc.

Hypertension Diagnostics, Inc.

St Jude Medical, Atrial Fibrillation Division, Inc

Dennis J Morgan

Valtino X Afonso

Carlo Pappone

Don Curtis Deno

D Curtis Deno

Wenwen Li

Jay N Cohn

Erhan Erdemir

Charles F Chesney

Stanley M Finkelstein

Stéphane Massé

Jiazheng Shi

Chin-Ann Yang

Dongfeng Han

Steven J Kim

Christopher W Bratteli

Joshua C Bush

Karl Magtibay

Andrew L Von Duyke

Kumaraswamy Nanthakumar

Thomas P Hartley

Bernard M Graham

E Paul Maloney

Emma K Davis

Eric Steven Olson

Jeffrey A Schweitzer

Eric Jon Voth

Mark Hagfors

Michael Terry Riggs

Eugene A O'Rourke

Fred Randall Thornton

Donald C Deno

The disclosure relates generally to applications of Orientation Independent Sensing (OIS) and Omnipolar mapping Technology (OT) to various system, device and method embodiments as recited herein. Similarly, systems and methods suitable for supporting OIS and OT systems and methods are disclosed. Further, OIS and OT implementations that provide end user interfaces, diagnostic indicia and visual displays generated, in part, based on measured data or derived from measured data are also disclosed. Embodiments also describe applying optimization techniques to determine the greatest voltage difference of a local electric field associated with an electrode-based diagnostic procedure and a vector representation thereof. Various graphic user interface related features are also described to facilitate orientation and electrode clique signal display.

Orientation independent sensing, mapping, interface and analysis systems and methods

Electrophysiological activity can be mapped using sub-intervals of electrophsyiological signals. An electroanatomical mapping system receives a plurality of electrophsyiological signals (), each of which spans an activation interval. For each signal, the system identifies an initial event time within the activation interval, such as by identifying a time of maximum signal energy (), and defines a sub-interval about the initial event time (). The system then analyzes the sub-interval to identify one or more electrophysiological characteristics of the electrophysiological signal () and adds a corresponding electrophysiology data point to an electrophysiology map (). Advantageously, the sub-interval can extend outside of the activation interval, such that the instant teachings allow for capture and analysis of deflections that occur at or near the boundaries of the activation interval.

System and method for cardiac mapping

A map of cardiac activation wavefronts can be created from a plurality of mesh nodes, each of which is assigned a conduction velocity vector. Directed edges are defined to interconnect the mesh nodes, and weights are assigned to the directed edges, thereby creating a weighted directed conduction velocity graph. A user can select one or more points within the weighted directed conduction velocity graph (which do not necessarily correspond to nodes), and one or more cardiac activation wavefronts passing through these points can be identified using the weighted directed conduction velocity graph. The cardiac activation wavefronts can then be displayed on a graphical representation of the cardiac geometry.

Methods and systems for identifying and mapping cardiac activation wavefronts

Systems and methods for generating and displaying an electrophysiology (EP) map are provided. A system includes a device including at least one sensor configured to collect a set of location data points, and a computer-based model construction system coupled to the device and configured to generate a geometry surface model from the set of location data points, associate an EP parameter with each of a plurality of points on the geometry surface model to generate an EP map, calculate a confidence metric for the EP parameter associated with each point, and display the EP map based on the calculated confidence metrics.

Systems and methods for displaying EP maps using confidence metrics

An electrophysiology map, for example a map of arrhythmic substrate, can be generated by acquiring both geometry information and electrophysiology information pertaining to an anatomical region, and associating the acquired geometry and electrophysiology information as a plurality of electrophysiology data points. A user can select two (or more) electrophysiological characteristics for display, and can further elect to apply various filters to the selected electrophysiological characteristics. The user can also define various relationships (e.g., Boolean ANDS, ORs, and the like) between the selected and/or filtered characteristics. The user-selected filtering criteria can be applied to the electrophysiology data points to output various subsets thereof. These subsets can then be graphically rendered using various combinations of colorscale, monochrome scale, and iconography, for example as a three-dimensional cardiac electrophysiology model.

Methods and systems for generating integrated substrate maps for cardiac arrhythmias

Electrophysiological signals from a graphical representation of an electrophysiology map including a plurality of electrophysiology data points can be sorted by receiving user inputs specifying a number of virtual electrodes for a virtual catheter and defining a pathway of the virtual catheter. A corresponding number of virtual electrodes can be defined on the pathway of the virtual catheter, and one or more electrophysiology data points relevant to electrical activity at the virtual electrodes can be identified, allowing output of a graphical representation of electrophysiological signals corresponding to the identified electrophysiology data points. Relevant electrophysiology data points can be identified by applying one or more relevance criterion, such as a distance criterion, a bipole orientation criterion, a time criterion, and/or a morphology criterion.

System and method for sorting electrophysiological signals on virtual catheters

An efficient system for diagnosing arrhythmias and directing catheter therapies may allow for measuring, classifying, analyzing, and mapping spatial electrophysiological (EP) patterns within a body. The efficient system may further guide arrhythmia therapy and update maps as treatment is delivered. The efficient system may use a medical device having a high density of sensors with a known spatial configuration for collecting EP data and positioning data. Further, the efficient system may also use an electronic control system (ECU) for computing and providing the user with a variety of metrics, derivative metrics, high definition (HD) maps, HD composite maps, and general visual aids for association with a geometrical anatomical model shown on a display device.

System and method for diagnosing arrhythmias and directing catheter therapies

An electrophysiology map, for example a map of arrhythmic substrate, can be generated by acquiring both geometry information and electrophysiology information pertaining to an anatomical region, and associating the acquired geometry and electrophysiology information as a plurality of electrophysiology data points. A user can select two (or more) electrophysiological characteristics for display, and can further elect to apply various filters to the selected electrophysiological characteristics. The user can also define various relationships (e.g., Boolean ANDs, ORs, and the like) between the selected and/or filtered characteristics. The user-selected filtering criteria can be applied to the electrophysiology data points to output various subsets thereof. These subsets can then be graphically rendered using various combinations of colorscale, monochrome scale, and iconography, for example as a three-dimensional cardiac electrophysiology model.

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N. Crystal, MN, United States of America

Dennis J Morgan