LAT Map GUI for Outlier Detection and Correction
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Solution Overview
Problem
Existing electrophysiological (EP) mapping techniques are distorted by outlier data points, particularly those with very low or very high values, which skew the LAT map and provide misleading information about cardiac electrical propagation.
Innovation Solution
A system with a graphical user interface (GUI) and input device allows users to define percentile ranges, generate partial-data EP maps, highlight outlier data points, and remove them to regenerate a corrected map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all EP data points are displayed on the LAT map, then complete information is provided, but the map becomes distorted by outlier values and provides misleading information
Solution Approach 1:
The patent segments the data display process into multiple stages: initial display of all data points, identification of outliers through user interaction or automated algorithms, and subsequent display of corrected data. This segmentation allows the system to maintain information completeness while eliminating distortion from outliers.
Solution Approach 2:
The patent extracts and removes outlier data points from the LAT map display. The system identifies extreme values (e.g., earliest and latest activation times) and excludes them from the final visualization, thereby eliminating their distorting effect while preserving the integrity of the majority of data points.
2Productivity
If automated outlier removal is implemented, then map correction is efficient, but user control and verification are reduced
Solution Approach 1:
The patent implements a dynamic system that adapts to user preferences and procedural context. The outlier removal mechanism can operate in automated mode for efficiency or switch to manual mode for user control, allowing the system to be flexible and responsive to different operational requirements.
Solution Approach 2:
The system incorporates feedback mechanisms where user actions (such as selecting regions or confirming outlier removal) are processed and reflected in subsequent map displays. This feedback loop maintains user control while preserving the efficiency benefits of automated processing.
3Ease of operation
If manual outlier identification is required, then user control is maximized, but time consumption and complexity increase
Solution Approach 1:
The patent performs preliminary identification and highlighting of potential outliers before final user confirmation. By pre-processing the data to flag suspicious values, the system reduces the time required for manual review while maintaining user control over the final decision.
Solution Approach 2:
The system uses color coding to visually distinguish outlier data points from normal data on the LAT map. This visual enhancement makes manual identification faster and more intuitive, reducing the time burden on users while preserving their control over the correction process.
Data Source
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AI summary
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 the EP parameter, (ii) responsively to one or more pre-defined 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.