Abstract: An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Abstract: An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Abstract: An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Abstract: An animated cardiac activation map can be created by simulating particle flow over a three-dimensional representation of a cardiac surface. In particular, an electroanatomical mapping system can simulate and display particle flow through a conduction velocity map for the cardiac surface, with the conduction velocity map defining a conduction velocity vector field over the cardiac surface. Particles may be spawned randomly and/or according to a local activation timing map for the cardiac surface. Likewise, particle simulation may be displayed for a preset time interval and/or for a time interval determined by the local activation timing map. Particle simulation may also end if a particle encounters a line of block. Regions of dispersion or breakout can also be identified using the conduction velocity vector field.

Abstract: Pulmonary vein isolation has become a first-line treatment for symptomatic drug refractory atrial fibrillation (AF). In the context of PVI procedures, linear ablation lesions are delivered in order to achieve PV isolation. Electrophysiological maps from data collected by high density (HD) grid catheters can be used to identify conduction gaps associated within circumferential pulmonary vein isolation lesions.

Abstract: A method of displaying a virtual electrogram for a virtual bipole includes receiving a plurality of electrophysiological signals from a respective plurality of electrodes carried by a multi-dimensional catheter; using the received electrophysiological signals to compute a plurality of virtual electrograms associated with a respective plurality of virtual bipoles, each having a corresponding virtual bipole orientation; selecting a virtual bipole orientation; and displaying the virtual electrogram associated with the virtual bipole having the selected virtual bipole orientation. Aspects of the disclosure can be executed through a graphical user interface of an electroanatomical mapping system that also incorporates a visualization processor.

Abstract: An electroanatomical mapping system can map electrical activation of tissue, and in particular create a slow conduction map, using a plurality of electrophysiology data points, each including local activation timing information, by computing a slow conduction metric for each point using the local activation timing information. The slow conduction metric can be used to classify points as no conduction points, slow conduction points, and normal conduction points, and the results can be graphically expressed, including as an animated representation of an activation wavefront propagating along a three-dimensional anatomical surface model.

Abstract: Electrophysiological activity can be mapped using sub-intervals of electrophysiological signals. An electroanatomical mapping system receives a plurality of electrophysiological signals (402), 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 (404), and defines a sub-interval about the initial event time (406). The system then analyzes the sub-interval to identify one or more electrophysiological characteristics of the electrophysiological signal (408) and adds a corresponding electrophysiology data point to an electrophysiology map (410). 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.

Abstract: An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Abstract: An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Abstract: The present disclosure provides an electrophysiology system to facilitate visualizing a proximity of at least one catheter electrode to a 3D geometry of a biological tissue. The system includes a computing device including at least one processor in communication with a memory, wherein the processor is configured to determine the proximity between the at least one catheter electrode and the biological tissue using at least one measurement. The system further includes a display device configured to display the 3D geometry of the biological tissue and a visual effect illustrating the proximity between the at least one catheter electrode and the biological tissue.

Abstract: A method of displaying a virtual electrogram for a virtual bipole includes receiving a plurality of electrophysiological signals from a respective plurality of electrodes carried by a multi-dimensional catheter; using the received electrophysiological signals to compute a plurality of virtual electrograms associated with a respective plurality of virtual bipoles, each having a corresponding virtual bipole orientation; selecting a virtual bipole orientation; and displaying the virtual electrogram associated with the virtual bipole having the selected virtual bipole orientation. Aspects of the disclosure can be executed through a graphical user interface of an electroanatomical mapping system that also incorporates a visualization processor.

Abstract: An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Abstract: An electrophysiology map can be generated from a plurality of electrophysiology data points added automatically in response to defined inclusion criteria. Inclusion criteria can generally be grouped into two categories: location-based (e.g., velocity, distance moved, dwell time, and proximity) and rhythm-based (e.g., cycle length and EKG matching). As each electrophysiology data point is collected, it can be tested against one or more defined inclusion criteria, and added to the electrophysiology map when it satisfies all such criteria. Inclusion criteria can also be employed to generate the geometric model underlying the electrophysiology map.