Mapping electrical activity on a model heart
US-2019261876-A1 · Aug 29, 2019 · US
US12507940B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12507940-B2 |
| Application number | US-202117379200-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 19, 2021 |
| Priority date | Jul 19, 2021 |
| Publication date | Dec 30, 2025 |
| Grant date | Dec 30, 2025 |
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A method includes receiving a plurality of data points including electrical activation (EA) values measured at respective positions in at least a portion of a surface of a cardiac chamber of a heart of a patient. Using a predefined EA value criterion, the EA values in a given region of the cardiac surface are classified into multiple distinct EA wave-fronts, and multiple layers of EA values are calculated for the given region, wherein each EA layer includes the EA values found to belong to a respective and contiguous EA wave-front. The multiple EA layers are overlayed on a graphical representation of the surface. The graphical representation with the multiple overlaid EA layers is displayed to a user, with a graphical indication distinguishing between the multiple EA layers.
Opening claim text (preview).
The invention claimed is: 1 . A method of catheter based electrical activation mapping, comprising: tracking, by a tracking system, electrodes on a catheter positioned at respective cardiac tissue locations in a given region of a surface of a cardiac chamber of a heart of a patient; acquiring a plurality of data points from the electrodes, the data points comprising electrical activation (EA) values measured at the respective cardiac tissue locations; generating multiple EA graphs by applying a graph connectivity criterion based on EA velocity thresholding, the EA velocity thresholding generating disconnected EA graph families of connected data points and assigning EA values to the disconnected EA graph families, wherein generating disconnected EA graph families comprises starting from one or more cardiac tissue positions and adding neighboring EA data points determined to be connected based on the graph connectivity criterion; generating multiple EA layers of disconnected EA graph families by applying EA value difference thresholding to the disconnected EA graph families constructing an EA map by aggregating the EA graph families indicating normal tissue in one or more EA layers and aggregating the EA graph families indicating abnormal tissue in one or more EA layers based on the EA value thresholding; overlaying the EA map with the multiple EA layers on a modeled surface of the cardiac chamber, with the EA layers indicating abnormal tissue and the EA layers indicating normal tissue partially overlapping each other; and displaying the EA map on the modeled surface of the cardiac chamber with the multiple overlaid EA layers to a user, with a graphical indication distinguishing between the EA layers identifying normal tissue and abnormal tissue. 2 . The method according to claim 1 , further comprising applying a propagation slowness criterion to differentiate EA graph families indicating normal tissue and the EA graph families indicating abnormal tissue. 3 . The method according to claim 2 , wherein the EA layers indicating abnormal tissue include EA graph families having a propagation velocity between data points below a threshold value. 4 . The method according to claim 3 , further including generating a time-varying multi-layered EA map showing the propagation velocity of the EA graph families. 5 . The method according to claim 1 , wherein the graph connectivity criterion specifies a maximal propagation slowness. 6 . The method according to claim 1 , further comprising interpolating over the EA values within each of the EA graphs. 7 . The method according to claim 1 , wherein the EA value thresholding specifies a minimum absolute value difference between adjacent LAT values. 8 . The method according to claim 1 , wherein defining the multiple EA layers comprises applying a voxel connectivity geometry algorithm. 9 . The method according to claim 1 , wherein displaying the EA map comprises displaying the multiple overlaid EA layers in an overlapping order set according to the EA value thresholding. 10 . The method according to claim 1 , wherein displaying the EA map comprises displaying each EA layer with a different color. 11 . The method according to claim 1 , wherein the EA values are local activation time (LAT) values. 12 . The method according to claim 1 , wherein the given region comprises a polygon in a polygonal mesh that models the surface of the cardiac chamber. 13 . A system, comprising: a catheter having electrodes positioned at respective cardiac tissue locations in a given region of a surface of a cardiac chamber of a heart of a patient; a tracking system for tracking the electrodes at the respective cardiac tissue locations in a given region of a surface of a cardiac chamber of a heart of a patient; an interface, which is configured to acquire a plurality of data points from the electrodes, the data points comprising electrical activation (EA) values measured at the respective cardiac tissue locations; and a processor, which is configured to perform: generating multiple EA graphs by applying a graph connectivity criterion based on EA velocity thresholding, the EA velocity thresholding generating disconnected EA graph families of connected data points and assigning EA values to the disconnected EA graph families, wherein generating disconnected EA graph families comprises starting from one or more cardiac tissue positions and adding neighboring EA data points determined to be connected based on the graph connectivity criterion; generating multiple EA layers of disconnected EA graph families by applying EA value difference thresholding to the disconnected EA graph families; constructing an EA map by aggregating the EA graph families indicating normal tissue in one or more EA layers and aggregating the EA graph families indicating abnormal tissue in one or more EA layers based on the EA value thresholding; overlaying the EA map with the multiple EA layers on a modeled surface of the cardiac chamber, with the EA layers indicating abnormal tissue and the EA layers indicating normal tissue partially overlapping each other; and displaying the EA map on the modeled surface of the cardiac chamber with the multiple overlaid EA layers to a user, with a graphical indication distinguishing between the EA layers identifying normal tissue and abnormal tissue. 14 . The system according to claim 13 , wherein the processor is configured to apply a propagation slowness criterion to differentiate EA graph families indicating normal tissue and the EA graph families indicating abnormal tissue. 15 . The system according to claim 14 , wherein the EA layers indicating abnormal tissue include EA graph families having a propagation velocity between data points below a threshold value. 16 . The system according to claim 15 , wherein the processor is configured to generate a time-varying multi-layered EA map showing the propagation velocity of the EA graph families. 17 . The system according to claim 13 , wherein the graph connectivity criterion specifies a maximal wave-front propagation slowness. 18 . The system according to claim 13 , the processor is further configured to interpolate over the EA values within each of the EA graphs. 19 . The system according to claim 13 , wherein the predefined EA value thresholding specifies a minimum absolute value difference between adjacent LAT values. 20 . The system according to claim 13 , wherein the processor is configured to define the multiple EA layers by applying a voxel connectivity geometry algorithm. 21 . The system according to claim 13 , wherein the processor is configured to display the EA map by displaying the multiple overlaid EA layers in an overlapping order set according to the predefined EA value thresholding. 22 . The system according to claim 13 , wherein the processor is configured to display the EA map by displaying each EA layer with a different color. 23 . The system according to claim 13 , wherein the EA values are local activation time (LAT) values. 24 . The system according to claim 13 , wherein the given region comprises a polygon in a polygonal mesh that models the surface.
Operational features · CPC title
Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots · CPC title
Catheters · CPC title
Potential distribution indication · CPC title
Holders for multiple electrodes, e.g. electrode catheters for electrophysiological study [EPS] · CPC title
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