Displaying positions of early and late LAT in LAT maps and correcting GUI of maps

Abstract

A system includes a display device, an input device, and a processor. The processor is configured to: (i) receive a set of data points representing a full range of EP parameters; (ii) in response to one or more predefined percentile ranges, generating a partial data EP map using only the data points belonging to the one or more predefined percentile ranges; (iii) displaying the partial data EP map to a user on the display device; (iv) receiving, via the input device, a selection of one or more outlier data points on the partial data EP map by the user belonging to one or more given percentile ranges; (v) regenerating an EP map using the set of data points without the selected outlier data points; and (vi) displaying the regenerated EP map to the user.

Description

Technical Field

[0001] The present invention generally relates to electrophysiological mapping and, more particularly, to the visualization of cardiac electrophysiological data points and maps. Background Art

[0002] An electrophysiological (EP) map of a patient's heart chamber is generated by placing electrodes in a region of the chamber tissue, acquiring the EP signals from that region, and then repeating the process for different regions. EP parameters are extracted from the EP signals of each measurement region and then these EP parameters are displayed on a graphical representation of the tissue, such as a three-dimensional (3D) rendering of the heart chamber.

[0003] Previously proposed EP mapping visualization methods in the patent literature aim to simplify the interpretation of EP maps. For example, U.S. Patent Application Publication 2022 / 0338783 describes a method that includes receiving a plurality of data points that include electrophysiological (EP) values measured at respective locations of at least a portion of a patient's organ. Some of the EP values are classified as outliers according to a defined criterion. A visual representation of at least a portion of the organ is derived from the plurality of data points. The visual representation uses corresponding colors to represent the EP values and visualizes fewer than all of the outliers by performing one or both of the following operations: (a) identifying outliers that deviate from corresponding neighboring EP values by less than a defined deviation and representing the outliers with a color that matches the neighboring EP values; and (b) setting a mapping for the visual representation that maps the EP values to colors and excludes at least some of the outliers.

[0004] As another example, U.S. Patent Application Publication 2022 / 0095942 describes a medical device that includes a probe configured to be inserted into a patient. The probe includes electrodes configured to contact tissue in a region within the body. The device further includes a display screen, a positioning tracking system, and a processor. The processor is configured to: acquire electrophysiological signals from the electrodes; extract electrophysiological parameters from the signals; calculate a measure of consistency of the electrophysiological parameters at each of these locations relative to a weighted median of the parameters extracted at neighboring locations; and render a map of the tissue to the display screen while superimposing a visual indication of the extracted electrophysiological parameters that meet a predefined consistency criterion on the map and automatically omitting from the map the electrophysiological parameters for which the consistency measure does not meet the criterion.

[0005] In conjunction with the accompanying drawings, a more complete understanding of the present disclosure will be achieved by the following detailed description of examples of the present disclosure, where: Brief Description of the Drawings

[0006] Figure 1Schematic illustration of a catheter-based electrophysiology (EP) mapping and ablation system according to an example of the present disclosure;

[0007] Figure 2 Schematic volumetric rendering of a LAT map of a heart chamber according to an example of the present disclosure, including highlighted outlier data points;

[0008] Figure 3 Flowchart schematically illustrating a method of correcting a LAT map by removing outlier data points using a GUI and an input device according to an example of the present disclosure; and

[0009] Figure 4 Flowchart schematically illustrating a method of correcting a LAT map by removing outlier data points using a GUI and an input device according to another example of the present disclosure. Detailed Description

[0010] Overview

[0011] During an electrophysiology (EP) mapping procedure, an EP map, such as a local activation time (LAT) map, is typically generated based on EP data captured at multiple locations within a heart chamber. The LAT map is a useful diagnostic tool when mapping ventricular premature beats (PVCs), atrial fibrillation, Wolff-Parkinson-White syndrome (WPW syndrome), atrioventricular reentrant tachycardia (AVRT), and atrioventricular nodal reentrant tachycardia (AVNRT).

[0012] To generate a LAT map (also referred to as "electroanatomical mapping") of a patient's heart tissue, a physician positions a probe so that its electrodes contact the locations of the tissue regions. The probe acquires EP signals from various locations and then repeats the process in other regions. A processor analyzes the signals from each location within the regions from which the signals were acquired and extracts their LAT values. These LAT values are then overlaid on a 3D visual map of the region, for example, in a color-coded form, to form a LAT map for the physician to view. Such mapping can be performed in real time.

[0013] In a typical LAT mapping procedure, one catheter senses the activation wave (reference signal), while a mapping catheter measures the resulting activation (substrate signal). The processor annotates the reference signal and the corresponding substrate activation. Typically, hundreds of waveforms are acquired and annotated during the mapping procedure. Using these annotations, the processor calculates the corresponding LAT values between the reference signal and the corresponding substrate signal.

[0014] The LAT value varies significantly between a minimum and a maximum value depending on the location of the stromal tissue in the cardiac chamber. However, due to incorrect annotation, especially for more complex stromal signals, some incorrect LAT values occur. These values are referred to as "outliers" or "extreme values". For example, incorrect annotation occurs when the reference signal or stromal signal is split. Outliers that appear at the end of a portion of the cardiac cycle (i.e., within a given percentile of the shortest LAT value and within a given percentile of the longest LAT value) can cause the most significant errors in the color mapping created by you, for example, by distorting the color scale of the LAT map.

[0015] From a regional perspective, at some locations in the cardiac tissue region, the extracted LAT values may not be consistent with the LAT values at neighboring locations. Such outliers may be due to incorrect (automatic) annotation caused by, for example, a split EP signal at a location within the region.

[0016] As previously mentioned, outliers can have a significant impact on the visualization (e.g., coloring) of the LAT map, especially when the outlier points are located in regions with sparse data. In such cases, the LAT map will be misleading (e.g., incorrect scale). By visually distorting the LAT map, some outliers may provide incorrect information to the physician about the electrical conduction within the cardiac chamber.

[0017] The disclosed technology is based on the inventors' observation that outlier EP parameter data points (e.g., LAT) with very low or very high EP parameter values (within the full range of measured EP parameter values) can cause the greatest distortion of the LAT map (e.g., by distorting the color coding of EP activity). In the remainder of this disclosure, these outliers are generally referred to as "most significant outliers".

[0018] An example of the disclosure described herein provides a system that includes a processor configured to provide graphical user interface (GUI) functionality (e.g., scroll scale) using a display device and an input device (e.g., a device including a touch screen or a computer mouse), both of which are also provided. The GUI functionality allows the user to define a percentile range for one or more electrophysiological (EP) parameters. The processor receives a set of data points representing the full range of EP parameters. In response to the user-defined percentile range(s), the processor generates a partial data EP map using only the data points that belong to the one or more percentile ranges. The processor displays the partial data EP map to the user on the display device and then receives, via the input device, the user's selection of one or more outlier data points that belong to one or more given percentile ranges on the partial data EP map.

[0019] For example, the value of an EP parameter (e.g., LAT) can belong to the highest and lowest percentiles given in the entire dataset. Specifically for this example, the displayed LAT value can belong to the percentile range below 10% (i.e., the lowest 10% of values) and the percentile range above 90% (e.g., the highest 10% of values).

[0020] Since only a limited group of data points are displayed using the above techniques, it is easier for the user to identify and remove (e.g., delete from the dataset) the most significant outliers. Thus, the user can generate a corrected LAT map that is not distorted by the most significant outliers.

[0021] In another example, the processor uses a display device and an input device to provide GUI functionality that allows the user to define one or more percentile ranges of an EP parameter within a full range of a given EP parameter. The processor presents an EP map with the full range of EP parameter values on the display device. In response to the one or more percentile ranges defined by the user, the processor highlights the data points belonging to the one or more given percentile ranges on the EP map. Subsequently, the processor receives, via the input device, the user's selection of one or more outlier data points belonging to the one or more given percentile ranges on the highlighted EP map.

[0022] In this example, the data points with LAT values belonging to the high / low percentiles can be highlighted. Additionally, the high LAT value data points and the low LAT value data points can be highlighted in different ways, which can further simplify the user's work.

[0023] The system in the above example allows the user to remove the selected outlier data points using the input device. When the selected outlier data points are removed from the set, the processor automatically regenerates the EP map based on the set of "outlier-cleared" data points.

[0024] System Description

[0025] Figure 1 is a schematic illustration of a catheter-based electrophysiology (EP) mapping and ablation system 10 according to an example of the present disclosure.

[0026] System 10 includes a plurality of catheters that are inserted by physician 24 through the patient's vasculature via the skin into a chamber or vascular structure of the heart 12 (as seen in illustration 45). Typically, a delivery sheath catheter is inserted into a heart chamber (such as the left atrium or right atrium) near the desired location in the heart 12. Subsequently, a plurality of catheters are inserted into the delivery sheath catheter to reach the desired location. The plurality of catheters can include a catheter dedicated to pacing, a catheter for sensing intracardiac electrogram signals, a catheter dedicated to ablation, and / or a catheter dedicated to both EP mapping and ablation. The exemplary catheter 14 shown herein is configured for sensing bipolar electrograms. Physician 24 places the distal end 28 of catheter 14 (also referred to hereinafter as distal end assembly 28) in contact with the heart wall for sensing a target site in the heart 12. For ablation, physician 24 similarly brings the distal end of the ablation catheter to the target site.

[0027] As shown in illustration 65, catheter 14 is an exemplary catheter that includes a basket-shaped distal end 28 that includes one, preferably a plurality of electrodes 26 that are optionally distributed on a plurality of splines 22 at the distal end 28 and are configured to sense IEGM signals. Catheter 14 can additionally include a position sensor 29 embedded in or near the distal end 28 on the shaft 46 of catheter 14 for tracking the position and orientation of the distal end 28. Optionally and preferably, position sensor 29 is a magnetic-based position sensor that includes three magnetic coils for sensing three-dimensional (3D) position and orientation. As shown, the distal end 28 also includes an expand / collapse rod 42 of the expandable assembly 28 that is mechanically connected to the basket assembly 28 at the distal edge 41 of the assembly 28.

[0028] The magnetic-based position sensor 29 can operate in conjunction with a position pad 25 that includes a plurality of magnetic coils 32 configured to generate a magnetic field in a predefined workspace. The real-time position of the distal end 28 of catheter 14 can be tracked based on the magnetic field generated by the position pad 25 and sensed by the magnetic-based position sensor 29. Details of magnetic-based position sensing techniques are described in U.S. Patents 5,391,199, 5,443,489, 5,558,091, 6,172,499, 6,239,724, 6,332,089, 6,484,118, 6,618,612, 6,690,963, 6,788,967, 6,892,091.

[0029] System 10 includes one or more electrode patches 38 that are positioned to contact the skin of patient 23 to establish a position reference for the position pad 25 and impedance-based tracking of electrodes 26. For impedance-based tracking, current is directed toward electrodes 26 and sensed at the electrode skin patches 38 such that the position of each electrode can be triangulated via the electrode patches 38. Details of impedance-based positioning tracking techniques are described in U.S. Patent Nos. 7,536,218, 7,756,576, 7,848,787, 7,869,865, and 8,456,182.

[0030] Recorder 11 displays on display device 27 cardiac signals 21 (e.g., electrograms acquired at separately tracked cardiac tissue locations) acquired using body surface ECG electrodes 18 and intracardiac electrograms acquired using electrodes 26 of catheter 14. Recorder 11 may include pacing capabilities for pacing the heart rhythm and / or may be electrically connectable to an independent pacemaker.

[0031] Workstation 55 includes a memory 57, a processor 56 unit with a memory or storage device in which appropriate operating software is loaded, and user interface capabilities. Workstation 55 may provide a plurality of functions, optionally including: (i) three-dimensional (3D) modeling of endocardial anatomy and rendering a model or EP map 20 for display on display device 27; (ii) displaying on display device 27 an activation sequence (or other data) compiled from the recorded cardiac signals 21 with representative visual markers or images superimposed on the rendered EP map 20; (iii) displaying the real-time positions and orientations of a plurality of catheters within the cardiac chambers; and (iv) displaying relevant sites on display device 27, such as where ablation energy has been applied. A commercial product embodying the elements of system 10 may be CARTO TM 3System, available from Biosense Webster, Inc., 31A Technology Drive, Irvine, CA 92618.

[0032] In the disclosed example, physician 23 uses GUI 111 to generate a partial data EP map (e.g., partial data LAT map) as described above to achieve a percentile of an EP parameter value or to highlight a portion of EP map 20 based on a percentile of an EP parameter value.

[0033] In the first case, physician 24 uses GUI 111 to select given parameter EP values within one or more given percentile ranges from a full range of given EP parameter values, and commands the generation of a partial data EP mapping graph that uses only data points belonging to the one or more given percentile ranges. The processor 56 receives a set of data points representing the given full range of EP parameter values. After receiving the command issued by the user via GUI 111, the processor 56 generates the partial data EP mapping graph and presents the partial data EP mapping graph to the user on the display device 27. The input device (e.g., a device including the touch screen 27 or the computer mouse 112) is configured to enable physician 23 to select one or more outlier data points belonging to the one or more given percentile ranges on the partial data EP mapping graph. GUI 111 is further configured to allow physician 24 to regenerate the EP mapping graph based on the set after the selected outlier data points are removed from the set of data points.

[0034] For another example, physician 24 uses GUI 111 to select given parameter EP values within one or more given percentile ranges from a full range of given EP parameter values, and commands the highlighting of data points belonging to the one or more given percentile ranges on the EP mapping graph. The processor 56 is configured to: (i) present an EP mapping graph with the given full range of EP parameter values on the display device 27, and (ii) highlight data points belonging to the one or more given percentile ranges on the EP mapping graph after receiving the command issued by physician 24 via GUI 111. The input device is configured to enable physician 24 to select outlier data points belonging to the one or more given percentile ranges on the highlighted LAT mapping graph. The physician can use the input device (27, 112) to remove some outliers and regenerate a corrected mapping graph.

[0035] The system 10 may include an ablation energy generator 50 that is adapted to conduct ablation energy to one or more electrodes at the distal end of a catheter configured for ablation. The energy generated by the ablation energy generator 50 may include, but is not limited to, radiofrequency (RF) energy or pulsed field ablation (PFA) energy (including monopolar or bipolar high voltage DC pulses to be used to achieve irreversible electroporation (IRE)), or a combination thereof.

[0036] The patient interface unit (PIU) 30 is an interface configured to establish electrical communication between the catheter, the electrophysiology equipment, the power supply, and the workstation 55 to control the operation of the system 10 and receive EA signals from the catheter. The electrophysiology equipment of the system 10 may include, for example, a plurality of catheters, position pads 25, body surface ECG electrodes 18, electrode patches 38, an ablation energy generator 50, and a recorder 11. Optionally and preferably, the PIU 30 further includes processing capabilities for performing real-time calculations of catheter positions and for performing ECG calculations.

[0037] In some examples, processor 56 generally includes a general-purpose computer that is programmed in software to perform the functions described herein. The software can be downloaded to the computer electronically via a network, for example, or alternatively or additionally, it can be set up and / or stored on a non-transitory tangible medium such as magnetic memory, optical memory, or electronic memory.

[0038] This configuration of system 10 is shown by way of example to illustrate certain problems solved by examples of the present disclosure and to demonstrate the application of these examples in enhancing the performance of such systems. However, the examples of the present disclosure are in no way limited to this particular class of exemplary systems, and the principles described herein can be similarly applied to other types of medical systems. For example, other types of multi-polar catheters can be used, such as multi-arm OCTARAY TM catheters or flat catheters.

[0039] Outlier data points of early and late local activation times

[0040] Figure 2 is a schematic volume rendering 300 of a local activation time (LAT) map 301 of a heart chamber according to an example of the present disclosure, which includes highlighted outlier data points (303). Although the map 301 is mainly generated from a vast majority of well-defined data points 305, some significant outlier data points 301 can distort the entire LAT map 301, thereby reducing its diagnostic value.

[0041] Although Figure 2 the LAT maps can include many outliers, those values that fall within the ranges below the 10th percentile and above the 90th percentile are likely to be the most significant. Thus, highlighting the data points belonging to these percentiles, including the outlier data points 303, makes it easier for the user to remove the most significant outliers among these highlights.

[0042] In another example, the processor highlights the outlier data points belonging to the lowest percentile and the highest percentile in a different way, which can make it easier for the user to remove the most significant outliers among these highlights.

[0043] In some examples, the processor highlights the outlier data points detected based on one or more of the following outlier detection algorithms: outlier detection using the interquartile range (IQR), Z-score, modified Z-score, local outlier factor (LOF), and density-based spatial clustering of applications with noise (DBSCAN).

[0044] In another example, the processor automatically rotates the map so that the physician can see the highlighted area.

[0045] InFigure 2 In the example of , the EP value of the data points (e.g., LAT) is visualized by using different gray levels selected from a predefined gray scale. In a practical implementation, the EP value is typically represented by a color selected from a certain color palette, although a gray-scale implementation is also feasible. In the context and claims of the present disclosure, different gray levels are considered different colors, and the references to colors and gray levels can be used interchangeably.

[0046] Method for displaying the positions of early and late LATs in the LAT mapping diagram and correcting the mapping diagram

[0047] Figure 3 is a flowchart schematically illustrating a method for correcting a LAT mapping diagram by removing outlier data points using a GUI111 and a graphical input device 112 according to an example of the present disclosure. The algorithm executed by this process first receives a set of LAT data points by a processor 56 in a data receiving step 402.

[0048] Next, according to the percentile defined by a user (e.g., physician 24) and the command issued by the physician 24 using the GUI111, the processor generates a partial data LAT mapping diagram based only on the data points belonging to the selected percentile in a partial data LAT mapping diagram generation step 404.

[0049] In a most significant outlier identification step 406, the physician 24 identifies (e.g., selects) the most significant outlier on the partial data LAT mapping diagram.

[0050] In response to this selection, the processor 56 removes the most significant outlier from the data set in an outlier removal step 408. In a LAT mapping diagram regeneration step 410, the processor automatically generates a corrected LAT mapping diagram from the outlier-corrected set.

[0051] Finally, in a LAT mapping diagram display step 412, the processor 56 displays the corrected LAT mapping diagram to the physician 24.

[0052] Figure 3 The method described in is applicable to any EP parameter having a range and outliers, such as activation voltage.

[0053] Figure 4 is a flowchart schematically illustrating a method for correcting a LAT mapping diagram by removing outlier data points using a GUI111 and a graphical input device 112 according to another example of the present disclosure. The algorithm executed by this process first receives a LAT mapping diagram by a processor 56 in a mapping diagram receiving step 502.

[0054] Next, in data point percentile highlighting step 504, according to the percentile defined by the user (e.g., physician 24) and the command issued by physician 24 using GUI 111, the processor highlights only the data points on the LAT mapping diagram that belong to the selected percentile.

[0055] In the most significant outlier identification step 506, physician 24 identifies (e.g., selects) the most significant outlier on the highlighted LAT mapping diagram.

[0056] In response to this selection, in outlier removal step 508, processor 56 removes the most significant outlier from the dataset used to generate the LAT mapping diagram in step 502. In LAT mapping diagram regeneration step 510, the processor automatically generates a corrected LAT mapping diagram from the outlier-corrected set.

[0057] Finally, in LAT mapping diagram display step 512, processor 56 displays the corrected LAT mapping diagram to physician 24.

[0058] Figure 4 The method described in is applicable to any EP parameter with a range and outliers, such as activation voltage.

[0059] Although the disclosed technology is mainly presented as being applied to the LAT mapping diagram, after making the necessary adjustments, this technology can also be applied to other types of EP mapping diagrams, such as bipolar and unipolar voltage mapping diagrams, or any other EP mapping diagram that displays an EP parameter with outliers within a given range of EP parameter values.

[0060] Examples

[0061] Example 1

[0062] A system (10) includes a display device (27), an input device (112), and a processor (56). The processor (56) is configured to: (i) receive a set of data points representing the full range of an EP parameter; (ii) in response to one or more predefined percentile ranges, generate a partial data EP mapping diagram using only the data points that belong to the one or more predefined percentile ranges; (iii) display the partial data EP mapping diagram to a user on the display device (27); (iv) receive, via the input device (112), a selection by the user of one or more outlier data points belonging to one or more given percentile ranges on the partial data EP mapping diagram; (v) regenerate the EP mapping diagram using the set of data points without the selected outlier data points; and (vi) display the regenerated EP mapping diagram to the user.

[0063] Example 2

[0064] The system (10) according to Embodiment 1, wherein the processor (56) is further configured to provide a graphical user interface (GUI) function (111) using the display device (27) and the input device (112), the GUI function allowing a user to define one or more percentile ranges of electrophysiological (EP) parameters.

[0065] Example 3

[0066] The system (10) according to any one of Embodiments 1 and 2, wherein the GUI function (111) is a button on the GUI, by pressing which the processor (56) generates the partial data EP mapping diagram.

[0067] Example 4

[0068] The system (10) according to any one of Embodiments 1 to 3, wherein the GUI function (111) is further configured to highlight data points belonging to different percentile ranges in different ways on the partial data EP mapping diagram.

[0069] Example 5

[0070] The system (10) according to Embodiment 1, wherein the processor (56) is further configured to apply one or more automatic outlier detection algorithms to highlight outlier data points.

[0071] Example 6

[0072] The system (10) according to any one of Embodiments 1 to 5, wherein the processor is further configured to rotate the mapping diagram so that a physician can see the highlighted outlier data points.

[0073] Example 7

[0074] The system (10) according to any one of Embodiments 1 to 6, wherein the input device (112) is further configured to allow a user to remove a selected outlier data point.

[0075] Example 8

[0076] The system (10) according to any one of Embodiments 1 to 7, wherein the processor (56) is configured to automatically regenerate the EP mapping diagram based on the set after the selected outlier data point is removed from the data point set.

[0077] Example 9

[0078] The system (10) according to any one of embodiments 1 to 8, wherein the input device (112) includes one of a touch screen and a computer mouse.

[0079] Example 10

[0080] The system (10) according to any one of embodiments 1 to 9, wherein the EP parameter is the local activation time (LAT).

[0081] Example 11

[0082] The system (10) according to any one of embodiments 1 to 10, wherein the EP mapping diagram is a LAT mapping diagram.

[0083] Example 12

[0084] A system (10) includes a display device (27), an input device (112), and a processor (56). The processor (56) is configured to: (i) present an EP mapping diagram (301) with a full range of EP parameter values on the display device (27); (ii) highlight data points belonging to one or more given percentile ranges on the EP mapping diagram in response to one or more predefined percentile ranges; and (iii) accept, via the input device (112), a user's selection of one or more outlier data points (303) belonging to one or more given percentile ranges on the highlighted EP mapping diagram (301).

[0085] Example 13

[0086] The system (10) according to embodiment 12, wherein the processor (56) is further configured to apply one or more automatic outlier detection algorithms to highlight the outlier data points (303).

[0087] Example 14

[0088] The system (10) according to any one of embodiments 12 and 13, wherein the processor (56) is further configured to provide a graphical user interface (GUI) function (111) using the display device (27) and the input device (112), and the GUI function allows a user to define one or more percentile ranges of electrophysiological (EP) parameters.

[0089] Example 15

[0090] The system (10) according to embodiment 13, wherein the GUI function (111) is a virtual button on the GUI, and by pressing the button, the processor highlights the EP mapping diagram.

[0091] Example 16

[0092] The system according to any one of embodiments 12 to 15, wherein the processor (56) is further configured to rotate the EP mapping diagram so that a physician can view the highlighted outlier data points.

[0093] Example 17

[0094] The system (10) according to any one of embodiments 12 to 18, wherein the processor (56) is configured to automatically regenerate the EP mapping diagram (300) after the selected outlier data points (303) are removed from the set.

[0095] Example 18

[0096] A method, the method includes receiving a set of data points representing a full range of EP parameters. In response to one or more predefined percentile ranges, generating a partial data EP mapping diagram using only the data points belonging to the one or more predefined percentile ranges. Displaying the partial data EP mapping diagram to a user on a display device (27). Receiving, via an input device (112), the user's selection of one or more outlier data points belonging to one or more given percentile ranges on the partial data EP mapping diagram. Regenerating an EP mapping diagram using the set of data points without the selected outlier data points. Displaying the regenerated EP mapping diagram to the user.

[0097] Example 19

[0098] A method, the method includes presenting an EP mapping diagram (301) having a full range of EP parameter values on a display device (27). In response to one or more predefined percentile ranges, highlighting the data points belonging to one or more given percentile ranges on the EP mapping diagram (301). Receiving, via an input device (112), the user's selection of one or more outlier data points (303) belonging to one or more given percentile ranges on the highlighted EP mapping diagram. Regenerating an EP mapping diagram using the set of data points without the selected outlier data points. Displaying the regenerated EP mapping diagram to the user.

[0099] Although the embodiments described herein are mainly directed to cardiac diagnostic applications, the methods and systems described herein can also be used in other medical applications.

[0100] It should be understood that the above embodiments are cited by way of example, and the present disclosure is not limited to what is specifically shown and described above. On the contrary, the scope of the present disclosure includes combinations and sub - combinations of the various features described above, as well as their variations and modifications, which will occur to those skilled in the art upon reading the above description and which are not disclosed in the prior art.

Claims

1. A system, the system comprising: A display device; An input device; And A processor, the processor being configured to: Receive a set of data points representing a full range of electrophysiological (EP) parameters; In response to one or more predefined percentile ranges, generate a partial data EP mapping using only the data points belonging to the one or more predefined percentile ranges; Display the partial data EP mapping on the display device to the user; Receive, via the input device, the user's selection of one or more outlier data points belonging to one or more given percentile ranges on the partial data EP mapping; Regenerate the EP mapping using the set of data points without the selected outlier data points; and Display the regenerated EP mapping to the user.

2. The system according to claim 1, wherein The processor is further configured to provide graphical user interface (GUI) functionality using the display device and the input device, the GUI functionality allowing the user to define one or more percentile ranges of EP parameters.

3. The system according to claim 1, wherein, The GUI functionality is a button on the GUI, by pressing which the processor generates the partial data EP mapping.

4. The system according to claim 1, wherein The GUI functionality is further configured to highlight data points belonging to different percentile ranges in different ways on the partial data EP mapping.

5. The system according to claim 1, wherein, The processor is further configured to apply one or more automatic outlier detection algorithms to highlight the outlier data points.

6. The system according to claim 5, wherein, The processor is further configured to rotate the mapping so that a physician can see the highlighted outlier data points.

7. The system according to claim 1, wherein The input device is further configured to allow the user to remove the selected outlier data points.

8. The system according to claim 4, wherein, The processor is configured to automatically regenerate the EP mapping based on the set after the selected outlier data points are removed from the set of data points.

9. The system according to claim 1, wherein The input device includes one of a touch screen and a computer mouse.

10. The system according to claim 1, wherein, The EP parameter is a local activation time (LAT).

11. The system according to claim 1, wherein The EP mapping is a LAT mapping.

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