Mobile ECG Rhythm Graph Organization for Abnormality Detection
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Solution Overview
Problem
Existing systems for displaying ECG rhythm graphs on mobile devices are inefficient due to the overwhelming amount of data, small screen size, and the challenge of visually identifying abnormalities, leading to prolonged diagnosis times and potential inaccuracies.
Innovation Solution
A method for organizing and displaying ECG rhythm graphs on a mobile device by receiving ECG data, identifying abnormalities, ordering the graphs based on these abnormalities, and outputting a subset of graphs for display, allowing for focused visualization of clinically relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all lead rhythm graphs are displayed simultaneously on a mobile device screen, then complete ECG data is presented, but the small screen size makes it difficult to visualize waveform details and identify abnormalities
Solution Approach 1:
The ECG data is segmented into individual lead rhythm graphs that can be displayed separately. The system divides the complete 12-lead ECG into multiple single-lead views, allowing each waveform to be displayed at full resolution on the mobile device screen. This segmentation enables detailed visualization of waveform morphology while maintaining access to all ECG leads through sequential or selective display.
Solution Approach 2:
The system transitions from a two-dimensional simultaneous display of all leads to a time-dimensional sequential display. By organizing leads in a predetermined clinical order and allowing navigation through them, the system adds the dimension of time to the display paradigm, enabling detailed waveform visualization without requiring all leads to occupy screen space simultaneously.
2Quantity of substance
If all lead rhythm graphs are displayed at once, then complete data is available, but navigation time to identify abnormalities increases
Solution Approach 1:
The system performs preliminary organization of lead rhythm graphs in a predetermined clinical order based on abnormality detection algorithms. By pre-sorting and prioritizing leads according to clinical significance and detected abnormalities, the system reduces the time required for clinicians to navigate and interpret ECG data, presenting the most relevant leads first while maintaining access to the complete dataset.
3Quantity of substance
If multiple lead rhythm graphs are displayed simultaneously, then all data is visible, but the small mobile screen reduces ease of operation
Solution Approach 1:
The system extracts individual lead rhythm graphs from the complete multi-lead ECG dataset and presents them as separate, focused views. By taking out each lead for individual display rather than forcing simultaneous presentation of all leads, the system improves ease of operation on mobile devices while maintaining data completeness through systematic navigation and selection capabilities.
Data Source
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AI summary
Methods and systems are provided for organizing and displaying lead rhythm graphs of an electrocardiogram (ECG) on a mobile device. In an example, a method for a mobile device comprises receiving ECG data including a set of lead rhythm graphs, identifying an abnormality in one or more lead rhythm graphs of the set of lead rhythm graphs, ordering the set of lead rhythm graphs based on the abnormality to form an ordered set of lead rhythm graphs, such that a first lead rhythm graph of the ordered set of lead rhythm graphs includes a first waveform which includes the abnormality, and outputting for display a subset of lead rhythm graphs of the ordered set of lead rhythm graphs to a display device of a mobile device, wherein the subset of lead rhythm graphs includes at least the first lead rhythm graph.