Dynamic Color Scale GUI for Cardiac Mapping Data
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Solution Overview
Problem
Current cardiac mapping systems lack an efficient method to dynamically adjust the color scale based on collected data, leading to poor resolution and limited information about cardiac tissue conditions, as the color scale is often arbitrary and not data-driven.
Innovation Solution
A graphical user interface (GUI) is developed that allows users to interactively adjust the color scale using a histogram to ensure that only meaningful data ranges are colored, providing a more accurate representation of cardiac tissue conditions by displaying metrics associated with specific measurement points within the heart.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an arbitrary color scale is used for cardiac mapping, then the system is simple to operate, but the measurement precision and information quality about cardiac tissue conditions deteriorate
Solution Approach 1:
The color scale is made dynamic and adjustable through the GUI, allowing users to modify parameters such as color mapping ranges and thresholds in real-time based on the collected electro-anatomical data, rather than using a fixed arbitrary scale
Solution Approach 2:
The system provides visual feedback through the GUI displaying the actual data distribution and allowing users to adjust color scale parameters based on observed data patterns, creating a feedback loop that optimizes measurement precision
2Loss of information
If all metrics are displayed for every measurement point, then complete information is provided, but the information becomes overwhelming and difficult to interpret
Solution Approach 1:
The data presentation is segmented by allowing users to select specific measurement points and view their associated metrics separately, rather than displaying all metrics for all points simultaneously. This breaks down the overwhelming information into manageable segments
Solution Approach 2:
Different portions of the interface provide different levels of detail - the electro-anatomical map provides overview visualisation while selected measurement points provide detailed metric information, allowing users to access complete information when needed while maintaining ease of interpretation for general viewing
Data Source
AI summary
A method for a graphical user interface (GUI) of a computer system is provided. The method comprises displaying within a first portion the GUI, an electro-anatomical map of the heart, said electro-anatomical map comprising a plurality of measurement points within the heart for which data was collected; displaying a plurality of markers, each representing a respective one of said measurement points spatially in relation to the geometry of the heart within said first portion; determining, by a processor, user-selection of a particular measurement point within the heart through selection of its associated marker; responsive to said user-selection of the particular measurement point, retrieving at least one metric associated with said measurement point; and displaying in a second portion of the GUI, each retrieved metric associated with a particular measurement point within the heart.