GUI to display locations of early and late local activation times (LAT) in lat map and correct the map

Abstract

To visualize cardiac electrophysiological data points and maps.SOLUTION: 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 an EP parameter, (ii) responsively to one or more predefined percentile ranges, generate a partial-data EP map using only data points belonging to the one or more predefined percentile ranges, (iii) display the partial-data EP map to a user on the display device, (iv) receive from the user, via the input device, a selection on the partial-data EP map of one or more outlier data points belonging to one or more given percentile ranges, (v) regenerate the EP map using the set of data points without the selected outlier data points, and (vi) display the regenerated EP map to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Electrophysiological (EP) maps of a patient's heart chambers are generated by placing electrodes over a region of the chamber's tissue, acquiring the EP signal in that region, and then repeating this process for a different region. EP parameters are extracted from the EP signal in each region of measurement and then displayed on a graphical representation of the tissue, such as a three-dimensional (3D) rendering of the heart chamber.

[0003] Visualization methods for EP mapping have previously been proposed in the patent literature to facilitate interpretation of EP maps. For example, U.S. Patent Application Publication No. 2022 / 0338783 describes a method that includes receiving a plurality of data points containing electrophysiological (EP) values measured at respective locations in at least a portion of a patient's organ. Some of the EP values are classified as outliers according to defined criteria. A visual representation of at least the portion of the organ is derived from the plurality of data points. The visual representation represents the EP values with respective colors and visualizes some of the outliers by performing one or both of the following: (a) identifying outliers that deviate from their respective neighboring EP values by less than a defined deviation and representing these outliers using colors that match the neighboring EP values; and (b) configuring the visual representation with a mapping that maps the EP values to these colors and excludes at least some of the outliers.

[0004] As another example, U.S. Patent Application Publication No. 2022 / 0095942 describes a medical device including a probe configured to be inserted into a patient's body. The probe includes electrodes configured to contact tissue at a region within the body. The device further includes a display screen, a position tracking system, and a processor. The processor is configured to acquire electrophysiological signals from the electrodes, extract electrophysiological parameters from the signals, calculate a consistency measure of the electrophysiological parameters at each of the locations with respect to a weighted median of the extracted parameters at adjacent locations, render a map of the tissue on the display screen, overlay a visual indicator on the map of extracted electrophysiological parameters whose consistency measure meets a predetermined consistency criterion, and automatically omit from the map electrophysiological parameters whose consistency measure does not meet the criterion.

[0005] A more complete understanding of the present disclosure will be obtained from the following detailed description of the embodiments of the present disclosure when read in conjunction with the drawings. [Brief explanation of the drawings]

[0006] [Figure 1] FIG. 1 is a schematic, pictorial illustration of a catheter-based electrophysiological (EP) mapping and ablation system, according to an example of the present disclosure. [Figure 2] 1 is a schematic, pictorial, and stereoscopic rendering of a LAT map of a heart chamber with highlighted outlier data points, according to an example of the present disclosure. [Figure 3] 1 is a flowchart that schematically illustrates a method for correcting a LAT map by removing outlier data points using a GUI and an input device, according to an example of the present disclosure. [Figure 4] 10 is a flowchart that schematically illustrates a method for 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 OF THE INVENTION

[0007] overview During EP mapping procedures, EP maps, such as local activation time (LAT) maps, are often generated based on EP data captured at multiple locations within the cardiac chambers. LAT maps are useful diagnostic tools when mapping during premature ventricular contractions (PVCs), atrial flutter, Wolff-Parkinson-White syndrome (WPW), atrioventricular re-entry tachycardia (AVRT), and atrioventricular node re-entry tachycardia (AVNRT).

[0008] To generate an LAT map of a patient's cardiac tissue (also called "electroanatomical mapping"), a physician positions a probe so that its electrodes contact locations in a region of the tissue. The probe acquires EP signals from each location, and the process is then repeated on other regions. A processor analyzes the signal from each location within the acquired region and extracts its LAT value. The LAT values are then overlaid on a visual 3D map of the region, for example, as a color code, to form an LAT map that the physician can view. Such mapping can be performed in real time.

[0009] In a typical LAT mapping procedure, one catheter senses an excitation wave (the reference signal), while a mapping catheter measures the resulting excitation (the substrate signal). A processor annotates the reference signal and the excitation of each substrate. Typically, hundreds of waveforms are acquired and annotated during the mapping procedure. Using the annotations, the processor calculates each LAT value between the reference signal and each substrate signal.

[0010] LAT values vary widely between minimum and maximum values depending on the location of the stromal tissue within the cardiac chamber. However, some erroneous LAT values typically result from inaccurate annotation of more complex substrate signals. These values are called "outliers" or "outlying values." For example, inaccurate annotation occurs when the reference signal or substrate signal is segmented. Outliers that appear at the end of a portion of the cardiac cycle (i.e., within a given percentile of the shortest and longest LAT values) cause the most significant errors in the resulting color map, for example, by distorting the color scale of the LAT map.

[0011] Regionally, at some locations within a cardiac tissue region, the extracted LAT values may not be consistent with the LAT values at neighboring locations. Such outliers may result, for example, from fractionated EP signals at specific locations within the region, causing inaccurate (automatic) annotation.

[0012] As mentioned above, outliers can significantly affect the visualization (e.g., color coding) of the LAT map, especially when the outlier points are located in areas with sparse data. In such cases, the LAT map may be misleading (e.g., have an incorrect scale). By visually distorting the LAT map, some outliers may provide physicians with inaccurate information about electrical propagation within the heart chambers.

[0013] The disclosed techniques rely 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) cause the most distortion in the LAT map (e.g., by distorting the color-coding of EP activity). In the remainder of this disclosure, these outliers are often referred to as "most influential outliers."

[0014] One example of the disclosure described herein makes available a system including a processor configured to provide a graphical user interface (GUI) feature (e.g., a rolling scale) that allows a user to define one or more percentile ranges for an electrophysiological (EP) parameter using a similarly provided display device and input device (e.g., one with a touch screen or computer mouse). The processor receives a collection of data points representing the full range of the EP parameter. In response to the one or more percentile ranges defined by the user, the processor generates a partial data EP map using only the data points that fall within the one or more percentile ranges. The processor displays the partial data EP map to the user on the display device and then receives from the user, via the input device, a selection of one or more outlier data points on the partial data EP map that fall within the given one or more percentile ranges.

[0015] For example, an EP parameter (e.g., LAT) value may fall within a given highest and lowest percentile of the entire data set. Specifically for this example, the displayed LAT value may fall within a percentile range below 10% (i.e., the lowest 10% of values) and above 90% (e.g., the highest 10% of values).

[0016] Because only a limited set of data points is displayed using the above techniques, it becomes easier for the user to identify and remove (e.g., delete from the dataset) the most influential outliers, allowing the user to generate a corrected LAT map that is not distorted by the most influential outliers.

[0017] In another example, the processor provides a GUI function that uses a display device and an input device to allow a user to define one or more percentile ranges for an EP parameter within the full range of the given EP parameter. The processor presents an EP map having 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 data points on the EP map that belong to the given one or more percentile ranges. The processor then receives from the user via the input device a selection of one or more outlier data points on the highlighted EP map that belong to the given one or more percentile ranges.

[0018] In this example, data points with LAT values that belong to the high / low percentiles can be highlighted. Moreover, high and low LAT data points may be highlighted differently, which can make the user's work even easier.

[0019] The example system above allows a user to remove selected outlier data points using an input device, and after the selected outlier data points have been removed from the set, the processor automatically regenerates the EP map based on the "outlier-removed" set of data points.

[0020] System Description FIG. 1 is a schematic, pictorial illustration of a catheter-based electrophysiological (EP) mapping and ablation system 10 according to one example of the present disclosure.

[0021] The system 10 includes multiple catheters that are percutaneously inserted by a physician 24 through the patient's vascular system into a chamber or vasculature of the heart 12 (see inset 45). Typically, a delivery sheath catheter is inserted into a heart chamber, such as the left or right atrium, near a desired location within the heart 12. Multiple catheters are then inserted into the delivery sheath catheter to reach the desired location. The multiple catheters may include catheters dedicated to pacing, catheters for sensing intracardiac electrogram signals, catheters dedicated to ablation, and / or catheters dedicated to both EP mapping and ablation. The exemplary catheter 14 illustrated herein is configured to sense bipolar electrograms. To sense a target site in the heart 12, the physician 24 contacts a distal tip 28 (hereinafter also referred to as the "distal end assembly 28") of the catheter 14 with the heart wall. For ablation, the physician 24 similarly brings the distal end of an ablation catheter to the target site.

[0022] As seen in inset 65, catheter 14 is an exemplary catheter including a basket-like distal end 28 including one, and preferably multiple, electrodes 26, optionally distributed across multiple splines 22 at distal tip 28 and configured to sense IEGM signals. Catheter 14 may further include a position sensor 29 embedded in or near distal tip 28 on shaft 46 of catheter 14 to track the position and orientation of distal tip 28. Optionally and preferably, position sensor 29 is a magnetic-based position sensor including three magnetic coils for sensing three-dimensional (3D) position and orientation. As seen, distal tip 28 further includes a deployable / collapsible rod 42 of expandable assembly 28, which is mechanically connected to basket assembly 28 at a distal edge 41 of assembly 28.

[0023] The magnetic-based position sensor 29 may be operated in conjunction with a location pad 25 that includes a plurality of magnetic coils 32 configured to generate a magnetic field within a predetermined working volume. The real-time position of the distal tip 28 of the catheter 14 may be tracked based on the magnetic fields generated by the location pad 25 and sensed by the magnetic-based position sensor 29. Details of magnetic-based position sensing technology are described in U.S. Patent Nos. 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; and 6,892,091.

[0024] System 10 includes one or more electrode patches 38 positioned for skin contact with patient 23 to establish a position reference for location pads 25, as well as impedance-based tracking of electrodes 26. For impedance-based tracking, current is directed to electrodes 26 and sensed at electrode skin patches 38, thereby allowing the location of each electrode to be triangulated via electrode patches 38. Details of impedance-based position 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.

[0025] Recorder 11 displays cardiac signals 21 (e.g., electrograms acquired at each tracked cardiac tissue location) acquired using body surface ECG electrodes 18 and intracardiac electrograms acquired using electrodes 26 of catheter 14 on display device 27. Recorder 11 may include pacing capability for pacing the cardiac rhythm and / or may be electrically connected to a stand-alone pacer.

[0026] The workstation 55 includes a memory 57, a processor 56 unit having memory or storage loaded with appropriate operating software, and user interface functionality. The workstation 55 may optionally provide multiple functions, including (i) modeling the endocardial anatomy in three dimensions (3D) and rendering the model or EP map 20 for display on the display device 27, (ii) displaying activation sequences (or other data) compiled from recorded cardiac signals 21 in a representative visual representation or image superimposed on the rendered EP map 20 on the display device 27, (iii) displaying the real-time position and orientation of multiple catheters within the cardiac chambers, and (iv) displaying areas of interest, such as locations where ablation energy has been applied, on the display device 27. One commercially available product embodying elements of the system 10 is available as the CARTO™ 3 system, available from Biosense Webster, Inc., 31A Technology Drive, Irvine, CA 92618.

[0027] In the disclosed embodiment, the physician 23 uses the GUI 111 to generate the above-described partial data EP map (e.g., partial data LAT map) for percentiles of EP parameter values or to highlight portions of the EP map 20 according to percentiles of EP parameter values.

[0028] In the first case, the physician 24 uses the GUI 111 to select one or more given percentile ranges of EP parameter values from the full range of the given EP parameter values and requests that a partial data EP map be generated using only data points that fall within the given one or more percentile ranges. The processor 56 receives a set of data points representing the given full range of EP parameter values. Upon receiving the request from the user via the GUI 111, the processor 56 generates a partial data EP map and displays the partial data EP map to the user on the display device 27. The input device (e.g., one including the touchscreen 27 or computer mouse 112) is configured to allow the physician 23 to select one or more outlier data points on the partial data EP map that fall within the given one or more percentile ranges. The GUI 111 is further configured to allow the physician 24 to regenerate the EP map based on the set of data points after the selected outlier data points have been removed from the set.

[0029] As another example, physician 24 may use GUI 111 to select one or more percentile ranges of EP parameter values from the full range of the EP parameter values and request that data points belonging to the one or more percentile ranges be highlighted on the EP map. Processor 56 is configured to (i) present an EP map having the full range of EP parameter values on display device 27 and (ii) highlight data points belonging to the one or more percentile ranges on the EP map upon receiving a request from physician 24 via GUI 111. The input device is configured to allow physician 24 to select one or more outlier data points belonging to the one or more percentile ranges on the highlighted LAT map. Using input device 27, 112, the physician can remove some outliers and regenerate a corrected map.

[0030] The system 10 may include an ablation energy generator 50 adapted to deliver ablation energy to one or more electrodes at the distal tip 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 direct current pulses used to effect irreversible electroporation (IRE), or a combination thereof.

[0031] The patient interface unit (PIU) 30 is an interface configured to establish electrical communication between the catheters, electrophysiology equipment, power supply, and workstation 55 to control the operation of system 10 and to receive EA signals from the catheters. The electrophysiology equipment of system 10 may include, for example, multiple catheters, location pads 25, body surface ECG electrodes 18, electrode patches 38, ablation energy generator 50, and recorder 11. Optionally and preferably, PIU 30 additionally includes processing capability for performing real-time calculations of catheter position and executing ECG calculations.

[0032] In some embodiments, processor 56 typically comprises a general-purpose computer that is programmed with software to perform the functions described herein. The software may be downloaded to the computer in electronic form, for example, over a network, or alternatively or additionally, may be provided and / or stored on non-transitory, tangible media, such as magnetic, optical, or electronic memory.

[0033] This configuration of system 10 is presented as an example to illustrate the particular problem addressed by embodiments of the present disclosure and to demonstrate the application of these embodiments in improving the performance of such systems. However, embodiments of the present disclosure are in no way limited to this particular type of exemplary system, and the principles described herein may be applied to other types of medical systems as well. For example, other multi-electrode catheter types, such as a multi-arm OCTARAY™ catheter or a flat catheter, may be used.

[0034] Outlier data points for early and late local activation times 2 is a schematic, pictorial, volumetric rendering 300 of a local activation time (LAT) map 301 of a heart chamber with highlighted outlier data points 303, according to one example of the present disclosure. While the map 301 is mostly generated from a large set of well-defined data points 305, a few influential outlier data points 301 may distort the entire LAT map 301, thereby compromising its diagnostic value.

[0035] 2 may contain many outliers, but some of the outliers that fall in the lower 10% and higher 90% percentiles are likely to be the most influential. Thus, by highlighting the data points that fall in those percentiles, including outlier data point 303, it becomes much easier for a user to remove the most influential outliers from among those highlighted.

[0036] In another example, the processor may highlight both the lowest and highest percentile outlier data points differently, which may make it easier for a user to remove the most influential outliers from among these highlighted outliers.

[0037] In some embodiments, the processor highlights outlier data points detected based on one or more of the following outlier detection algorithms: outlier detection using Inter Quartile Range (IQR), Z-score, modified Z-score, Local Outliers Finder (LOF), and Density-Based Spatial Clustering for Application with Noise (DBSCAN).

[0038] In another example, the processor automatically rotates the map so that the physician can view the highlighted area.

[0039] In the example of Figure 2, the EP values (e.g., LAT) of the data points are visualized using different gray levels drawn from a predetermined gray scale. In actual implementations, the EP values are typically represented using colors drawn from a color palette, although gray scale implementations are also feasible. In the context of this disclosure and claims, different gray levels are considered different colors, and references to colors and gray levels are used interchangeably.

[0040] Method for displaying the location of early and late LAT in a LAT map and for correcting the map 3 is a flow chart that generally illustrates a method for correcting a LAT map by removing outlier data points using GUI 111 and graphical input device 112, according to one example of the present disclosure. The process executes an algorithm that begins with processor 56 receiving a set of LAT data points in data reception step 402.

[0041] Next, when a percentile is defined by a user (e.g., physician 24) and requested by physician 24 using GUI 111, the processor generates a partial data LAT map in partial data LAT map generation step 404 based only on data points that belong to the selected percentile.

[0042] In an identifying most influential outlier step 406, the physician 24 identifies (eg, selects) the most influential outlier on the partial data LAT map.

[0043] In response to this selection, processor 56 removes the most influential outliers from the data set in an outlier removal step 408. The processor automatically generates a corrected LAT map from the outlier-corrected set in a LAT map regeneration step 410.

[0044] Finally, in a display LAT map step 412, processor 56 displays the corrected LAT map to physician 24.

[0045] The method described in Figure 3 applies to any EP parameter that has a range and outliers, such as excitation voltage.

[0046] 4 is a flow chart that generally illustrates a method for correcting a LAT map by removing outlier data points using a GUI 111 graphical input device 112, according to another example of the present disclosure. The process executes an algorithm that begins with processor 56 receiving a LAT map in map reception step 502.

[0047] Next, when a percentile is defined by a user (e.g., physician 24) and requested by physician 24 using GUI 111, the processor, in data point percentile highlighting step 504, highlights only those data points on the LAT map that belong to the selected percentile.

[0048] In an identification step 506 of the most influential outliers, the physician 24 identifies (eg, selects) the most influential outliers on the highlighted LAT map.

[0049] In response to the selection, processor 56 removes the most influential outliers from the data set used in generating the LAT map in step 502, in an outlier removal step 508. The processor automatically generates a corrected LAT map from the outlier-corrected set, in a LAT map regeneration step 510.

[0050] Finally, in a display LAT map step 512, processor 56 displays the corrected LAT map to physician 24.

[0051] The method described in Figure 4 applies to any EP parameter that has a range and outliers, such as excitation voltage.

[0052] Although the disclosed techniques are presented as applied primarily to LAT maps, they can be applied, mutatis mutandis, to other types of EP maps, such as bipolar and unipolar voltage maps, or other EP maps that display EP parameters with outliers within a given range of EP parameter values. [Example]

[0053] Example 1 The 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 a full range of an EP parameter, (ii) generate a partial data EP map in response to one or more predetermined percentile ranges using only the data points that fall within the one or more predetermined percentile ranges, (iii) display the partial data EP map to a user on the display device (27), (iv) receive from the user via the input device (112) a selection of one or more outlier data points on the partial data EP map that fall within the one or more predetermined percentile ranges, (v) regenerate the EP map using the set of data points that does not include the selected outlier data points, and (vi) display the regenerated EP map to the user.

[0054] Example 2 The system (10) of Example 1, wherein the processor (56) is further configured to provide a graphical user interface (GUI) function (111) that allows a user to define one or more percentile ranges for electrophysiological (EP) parameters using the display device (27) and the input device (112).

[0055] Example 3 3. The system of any one of the preceding examples, wherein the GUI function is a button on the GUI that, when pressed, causes the processor to generate the partial data EP map.

[0056] Example 4 The system (10) of any one of Examples 1 to 3, wherein the GUI functionality (111) is further configured to differently highlight data points belonging to different percentile ranges on the partial data EP map.

[0057] Example 5 10. The system of claim 1, wherein the processor is further configured to apply one or more automated outlier detection algorithms to highlight outlier data points.

[0058] Example 6 6. The system (10) of any one of Examples 1 to 5, wherein the processor is further configured to rotate the map so that the physician can view the highlighted outlier data points.

[0059] Example 7 7. The system (10) of any one of Examples 1 to 6, wherein the input device (112) is further configured to allow a user to remove selected outlier data points.

[0060] Example 8 8. The system of any one of Examples 1 to 7, wherein the processor is configured to automatically regenerate the EP map based on the set of data points after the selected outlier data points are removed from the set.

[0061] Example 9 9. The system (10) of any one of Examples 1 to 8, wherein the input device (112) comprises one of a touch screen and a computer mouse.

[0062] Example 10 The system (10) according to any one of Examples 1 to 9, wherein the EP parameter is local activation time (LAT).

[0063] Example 11 The system (10) according to any one of Examples 1 to 10, wherein the EP map is an LAT map.

[0064] Example 12 The system (10) includes a display device (27), an input device (112), and a processor (56). The processor (56) is configured to (i) present, on the display device (27), an EP map (301) having a full range of EP parameter values, (ii) highlight data points that belong to one or more given percentile ranges on the EP map in response to one or more predetermined percentile ranges, and (iii) receive, from a user via the input device (112), a selection of one or more outlier data points (303) that belong to the given one or more percentile ranges on the highlighted EP map (301).

[0065] Example 13 13. The system of claim 12, wherein the processor is further configured to apply one or more automated outlier detection algorithms to highlight outlier data points.

[0066] Example 14 The system (10) of Examples 12 or 13, wherein the processor (56) is further configured to provide a graphical user interface (GUI) function (111) that allows a user to define one or more percentile ranges for electrophysiological (EP) parameters using the display device (27) and the input device (112).

[0067] Example 15 14. The system of example 13, wherein the GUI function is a virtual button on the GUI that causes the processor to highlight the EP map upon pressing the button.

[0068] Example 16 A system described in any of Examples 12 to 15, wherein the processor (56) is further configured to rotate the EP map so that the physician can view the highlighted data points.

[0069] Example 17 19. The system (10) of any of Examples 12 to 18, wherein the processor (56) is configured to automatically regenerate the EP map (300) after the selected outlier data points (303) are removed from the set.

[0070] Example 18 The method includes receiving a set of data points representing a full range of an EP parameter. In response to one or more predetermined percentile ranges, a partial data EP map is generated using only the data points that fall within the one or more predetermined percentile ranges. The EP map is displayed to a user on a display device (27). A selection of one or more outlier data points on the partial data EP map that fall within the given one or more percentile ranges is received from the user via an input device (112). The EP map is regenerated using a set of data points that does not include the selected outlier data points. The regenerated map is displayed to the user.

[0071] Example 19 The method includes presenting an EP map (301) having a full range of EP parameter values on a display device (27). Data points belonging to the given one or more percentile ranges are highlighted on the EP map (301) in response to one or more predetermined percentile ranges. A selection of one or more outlier data points (303) belonging to the given one or more percentile ranges is received from a user via an input device (112) on the highlighted EP map. The EP map is regenerated using a set of data points that does not include the selected outlier data points. The regenerated map is displayed to the user.

[0072] Although the examples described herein primarily address cardiac diagnostic applications, the methods and systems described herein may also be used in other medical applications.

[0073] It will be understood that the above-described embodiments are given by way of example, and that the present disclosure is not limited to what is particularly shown and described hereinabove. Rather, the scope of the present disclosure includes both combinations and subcombinations of the various features described above, as well as variations and modifications thereof that would occur to one skilled in the art upon reading the foregoing description and that are not disclosed in the prior art.

[0074] [Embodiment] (1) A system comprising: A display device; An input device; a processor, the processor receiving a set of data points representing a full range of the EP parameter; generating a partial data EP map in response to one or more predetermined percentile ranges using only data points that fall within said one or more predetermined percentile ranges; displaying the partial data EP map to a user on the display device; receiving a selection of one or more outlier data points on the partial data EP map from the user via the input device, the outlier data points belonging to one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; The system is configured to display the regenerated EP map to the user. (2) The system of embodiment 1, wherein the processor is further configured to provide a graphical user interface (GUI) function that allows a user to define the one or more percentile ranges of electrophysiological (EP) parameters using the display device and the input device. (3) The system of claim 1, wherein the GUI function is a button on the GUI that causes the processor to generate the partial data EP map by pressing the button. (4) The system of embodiment 1, wherein the GUI functionality is further configured to differently highlight data points belonging to different percentile ranges on the partial data EP map. (5) The system of embodiment 1, wherein the processor is further configured to apply one or more automatic outlier detection algorithms to highlight the outlier data points.

[0075] (6) The system of claim 5, wherein the processor is further configured to rotate the map so that the physician can view the highlighted outlier data points. (7) The system of claim 1, wherein the input device is further configured to allow the user to remove selected outlier data points. (8) The system of embodiment 4, wherein the processor is configured to automatically regenerate the EP map based on the set of data points after the selected outlier data points have been removed from the set. (9) The system of claim 1, wherein the input device comprises one of a touch screen and a computer mouse. (10) The system described in embodiment 1, wherein the EP parameter is local activation time (LAT).

[0076] (11) The system described in embodiment 1, wherein the EP map is a LAT map. (12) A system comprising: A display device; An input device; a processor, the processor presenting an EP map having a full range of EP parameter values on the display device; In response to one or more predetermined percentile ranges, highlighting data points on the EP map that fall within the one or more given percentile ranges; receiving from the user via the input device a selection of one or more outlier data points on the highlighted EP map that belong to one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; The system is configured to display the regenerated EP map to the user. (13) The system of embodiment 12, wherein the processor is further configured to apply one or more automated outlier detection algorithms to highlight the outlier data points. (14) The system of embodiment 12, wherein the processor is further configured to provide a graphical user interface (GUI) function that allows a user to define the one or more percentile ranges of electrophysiological (EP) parameters using the display device and the input device. (15) The system of embodiment 14, wherein the GUI function is a button on the GUI that causes the processor to highlight the EP map by pressing the button.

[0077] (16) The system of embodiment 14, wherein the GUI functionality is further configured to differently highlight data points belonging to different percentile ranges on the EP map. (17) The system of claim 12, wherein the processor is further configured to rotate the map so that the physician can view the highlighted data points. (18) The system of claim 12, wherein the input device is further configured to allow the user to remove selected outlier data points. (19) The system of embodiment 12, wherein the processor is configured to automatically regenerate the EP map after the selected outlier data points are removed from the set. (20) The system of claim 12, wherein the input device comprises one of a touch screen and a computer mouse.

[0078] (21) The system described in embodiment 12, wherein the EP parameter is LAT and the EP map is a LAT map. (22) A method comprising: receiving a set of data points representing a full range of an EP parameter; generating a partial data EP map according to one or more predetermined percentile ranges using only data points that fall within said one or more predetermined percentile ranges; displaying the partial data EP map to a user on a display device; receiving, from the user via an input device, a selection of one or more outlier data points on the partial data EP map that fall within one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; and displaying the regenerated EP map to the user. (23) The method of embodiment 22, comprising providing a graphical user interface (GUI) function that allows a user to define the one or more percentile ranges of electrophysiological (EP) parameters using the display device and the input device. (24) The method of embodiment 23, wherein the GUI function is a button on the GUI that generates the partial data EP map when pressed. (25) The method of embodiment 23, comprising using the GUI function to differently highlight data points that fall within different percentile ranges on the partial data EP map.

[0079] (26) The method of embodiment 22, comprising applying one or more automated outlier detection algorithms to highlight the outlier data points. (27) The method of claim 26, further comprising rotating the map so that the physician can view the highlighted outlier data points. (28) The method of claim 22, further comprising using the input device to enable the user to remove selected outlier data points. (29) The method of embodiment 28, further comprising automatically regenerating the EP map based on the set of data points after the selected outlier data points have been removed from the set. 30. The method of claim 22, wherein the input device comprises one of a touch screen and a computer mouse.

[0080] (31) The method described in embodiment 22, wherein the EP parameter is local activation time (LAT). (32) The method of embodiment 1, wherein the EP map is a LAT map. (33) A method comprising: presenting an EP map having a full range of EP parameter values on a display device; In response to one or more predetermined percentile ranges, highlighting data points on the EP map that fall within the one or more given percentile ranges; receiving, from the user via an input device, a selection of one or more outlier data points on the highlighted EP map that fall within one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; and displaying the regenerated EP map to the user. (34) The method of embodiment 33, comprising applying one or more automated outlier detection algorithms to highlight the outlier data points. (35) The method of embodiment 33, comprising providing a graphical user interface (GUI) function that allows a user to define the one or more percentile ranges of electrophysiological (EP) parameters using the display device and the input device.

[0081] (36) The method of embodiment 35, wherein the GUI feature is a button on the GUI that causes the processor to highlight the EP map by pressing the button. (37) The method of embodiment 35, comprising using the GUI function to differently highlight data points that fall within different percentile ranges on the partial data EP map. (38) The method of embodiment 33, further comprising rotating the map so that the physician can view the highlighted data points. (39) The method of embodiment 33, comprising using the input device to enable the user to remove selected outlier data points. (40) The method of embodiment 33, comprising automatically regenerating the EP map after the selected outlier data points are removed from the set.

[0082] (41) The method of embodiment 33, wherein the input device comprises one of a touch screen and a computer mouse. (42) The method described in embodiment 33, wherein the EP parameter is LAT and the EP map is a LAT map.

Claims

1. 1. A system comprising: A display device; An input device; a processor, the processor receiving a set of data points representing a full range of EP parameters; generating a partial data EP map in response to one or more predetermined percentile ranges using only data points that fall within the one or more predetermined percentile ranges; Displaying the partial data EP map to a user on the display device; receiving a selection of one or more outlier data points on the partial data EP map from the user via the input device, the outlier data points belonging to one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; The system is configured to display the regenerated EP map to the user.

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

3. The system of claim 1 , wherein the GUI feature is a button on the GUI that, when pressed, causes the processor to generate the partial data EP map.

4. The system of claim 1 , wherein the GUI functionality is further configured to differently highlight data points that fall within different percentile ranges on the partial data EP map.

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

6. The system of claim 5 , wherein the processor is further configured to rotate the map so that the physician can view the highlighted outlier data points.

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

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

9. The system of claim 1 , wherein the input device comprises one of a touch screen and a computer mouse.

10. The system of claim 1 , wherein the EP parameter is local activation time (LAT).

11. The system of claim 1 , wherein the EP map is a LAT map.

12. 1. A system comprising: A display device; An input device; a processor, the processor presenting an EP map on the display device having a full range of EP parameter values; responsive to one or more predetermined percentile ranges, highlighting on the EP map data points that fall within the one or more given percentile ranges; receiving from the user via the input device a selection of one or more outlier data points on the highlighted EP map that belong to one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; The system is configured to display the regenerated EP map to the user.

13. The system of claim 12 , wherein the processor is further configured to apply one or more automated outlier detection algorithms to highlight the outlier data points.

14. 13. The system of claim 12, wherein the processor is further configured to provide a graphical user interface (GUI) function that allows a user to define the one or more percentile ranges of electrophysiological (EP) parameters using the display device and the input device.

15. The system of claim 14 , wherein the GUI feature is a button on the GUI that, when pressed, causes the processor to highlight the EP map.

16. The system of claim 14 , wherein the GUI functionality is further configured to differently highlight data points that fall within different percentile ranges on the EP map.

17. The system of claim 12 , wherein the processor is further configured to rotate the map so that the physician can view the highlighted data points.

18. The system of claim 12 , wherein the input device is further configured to allow the user to remove selected outlier data points.

19. The system of claim 12 , wherein the processor is configured to automatically regenerate the EP map after the selected outlier data points are removed from the set.

20. The system of claim 12 , wherein the input device comprises one of a touch screen and a computer mouse.

21. The system of claim 12 , wherein the EP parameter is a LAT and the EP map is a LAT map.

22. 1. A method comprising: receiving a set of data points representing a full range of an EP parameter; generating a partial data EP map in response to one or more predetermined percentile ranges using only data points that fall within the one or more predetermined percentile ranges; displaying the partial data EP map to a user on a display device; receiving, from the user via an input device, a selection of one or more outlier data points on the partial data EP map that fall within one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; and displaying the regenerated EP map to the user.

23. 23. The method of claim 22, comprising providing a graphical user interface (GUI) function that allows a user to define the one or more percentile ranges of electrophysiological (EP) parameters using the display device and the input device.

24. 24. The method of claim 23, wherein the GUI feature is a button on the GUI, pressing of which generates the partial data EP map.

25. 24. The method of claim 23, including using the GUI functionality to differently highlight data points that fall within different percentile ranges on the partial data EP map.

26. 23. The method of claim 22, comprising applying one or more automated outlier detection algorithms to highlight the outlier data points.

27. 27. The method of claim 26, including rotating the map so that the physician can view the highlighted outlier data points.

28. 23. The method of claim 22, comprising using the input device to enable the user to remove selected outlier data points.

29. 30. The method of claim 28, comprising automatically regenerating the EP map based on the set of data points after the selected outlier data points have been removed from the set.

30. 23. The method of claim 22, wherein the input device comprises one of a touch screen and a computer mouse.

31. 23. The method of claim 22, wherein the EP parameter is local activation time (LAT).

32. The method of claim 1 , wherein the EP map is a LAT map.

33. 1. A method comprising: presenting an EP map having a full range of EP parameter values on a display device; In response to one or more predetermined percentile ranges, highlighting data points on the EP map that fall within the one or more given percentile ranges; receiving, from the user via an input device, a selection of one or more outlier data points on the highlighted EP map that fall within one or more given percentile ranges; regenerating the EP map using the set of data points that does not include the selected outlier data point; and displaying the regenerated EP map to the user.

34. 34. The method of claim 33, comprising applying one or more automated outlier detection algorithms to highlight the outlier data points.

35. 34. The method of claim 33, comprising providing a graphical user interface (GUI) function that allows a user to define the one or more percentile ranges of electrophysiological (EP) parameters using the display device and the input device.

36. 36. The method of claim 35, wherein the GUI feature is a button on the GUI that, upon pressing, causes the processor to highlight the EP map.

37. 36. The method of claim 35, including using the GUI functionality to differently highlight data points that fall within different percentile ranges on the partial data EP map.

38. 34. The method of claim 33, including rotating the map so that the physician can view the highlighted data points.

39. 34. The method of claim 33, comprising enabling the user to remove selected outlier data points using the input device.

40. 34. The method of claim 33, comprising automatically regenerating the EP map after the selected outlier data points are removed from the set.

41. 34. The method of claim 33, wherein the input device comprises one of a touch screen and a computer mouse.

42. 34. The method of claim 33, wherein the EP parameter is a LAT and the EP map is a LAT map.

Images