RR Interval ECG Distribution Display via Polar Coordinate Transformation
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Solution Overview
Problem
Current RR interval analysis tools in dynamic electrocardiogram systems primarily focus on numerical statistics, making it difficult to visually identify relationships between heart rhythm attributes and detect arrhythmia events effectively.
Innovation Solution
An RR interval ECG data distribution display method that extracts RR intervals from dynamic electrocardiograms, divides them into sub-intervals, performs cumulative summation of heartbeat types, and displays the results in a distribution diagram to visually represent heartbeat information, improving the identification of abnormal heart rhythm events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If RR interval analysis uses traditional histogram or scatter plot methods, then numerical statistics can be obtained, but visual identification of heart rhythm relationships and arrhythmia detection is difficult
Solution Approach 1:
The patent transforms the traditional one-dimensional RR interval numerical data into a two-dimensional polar coordinate system. The RR interval value becomes the radial distance from the origin, while the heartbeat type becomes the angular position. This dimensional transformation enables visual representation of both the magnitude and category of RR intervals simultaneously, allowing doctors to identify heart rhythm relationships and detect arrhythmia patterns through visual inspection of the polar bar chart rather than numerical analysis.
2Loss of information
If RR interval data is displayed in detailed numerical form, then complete information is provided, but the efficiency of identifying abnormal heart rhythm events is reduced
Solution Approach 1:
The patent employs color coding in the polar bar chart to represent different heartbeat types and arrhythmia conditions. Each heartbeat type (sinus rhythm, atrial fibrillation, ventricular tachycardia, etc.) is assigned a distinct color. This color differentiation allows doctors to quickly identify abnormal heart rhythm events by visual scanning of color patterns in the chart, dramatically improving diagnostic efficiency while preserving complete RR interval information through the maintained polar coordinate structure.
Solution Approach 2:
By organizing RR interval data in a polar coordinate system with angular segmentation for different heartbeat types and radial extension for interval values, the patent creates a visual framework that preserves all numerical information while enabling rapid visual assessment. The polar format naturally groups related data points and highlights anomalies through spatial distribution patterns, allowing efficient arrhythmia identification without information loss.
Data Source
AI summary
The present invention discloses an RR interval ECG data distribution display method. The RR interval ECG data distribution display method includes: extracting an RR interval from a dynamic electrocardiogram, and dividing the RR interval according to the preset time interval to obtain N sub-RR intervals; obtaining the ECG data of the RR interval, wherein the ECG data includes at least two heartbeat types and the number of heartbeats corresponding to each of the heartbeat types; traversing the ECG data of each of the sub-RR intervals, and performing the cumulative summation operation on the number of heartbeats corresponding to the same heartbeat type to obtain the number of heartbeats of each heartbeat type in the N sub-RR intervals; and displaying the number of heartbeats of each heartbeat type and the heartbeat types in the N sub-RR intervals in the form of a distribution diagram.