ECG Diagnosis Report Generation via Waveform Comparison
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Solution Overview
Problem
Existing diagnosis reports generated by wearable devices for arrhythmia detection have low readability due to the absence of clear visual comparisons between normal and abnormal heartbeat waveforms, making it difficult for users without professional knowledge to interpret the results.
Innovation Solution
A computer program and apparatus that obtain electrocardiography (ECG) data, determine abnormal heartbeat data, and generate a diagnosis report by combining normal and abnormal heartbeat waveforms to create an abnormality comparison image, displaying the difference between the two waveforms for improved readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a diagnosis report is generated based on ECG data and diagnosis results, then the diagnostic function is achieved, but the readability of the report is low because users cannot determine abnormal waveforms without professional knowledge
Solution Approach 1:
The patent segments the complex ECG analysis into distinct visual components: normal waveforms, abnormal waveforms, and comparison views. By dividing the diagnostic information into separable visual elements, users can easily identify abnormal portions without needing to understand the entire complex ECG signal, thus improving readability while maintaining diagnostic accuracy.
Solution Approach 2:
The patent adds a visual comparison dimension by displaying both normal and abnormal waveforms together in the same report. This dimensional approach allows users to intuitively understand abnormalities through visual contrast rather than requiring professional interpretation of single waveform data, effectively resolving the readability issue.
2Loss of information
If detailed ECG waveform data is provided in the diagnosis report, then complete diagnostic information is available, but users without professional knowledge cannot interpret the waveforms
Solution Approach 1:
The patent introduces an intermediary visual comparison mechanism that translates complex ECG waveform data into an easily interpretable format. By mediating between the raw ECG data and user understanding through side-by-side normal versus abnormal waveform displays, the system preserves complete diagnostic information while making it accessible to non-experts.
Solution Approach 2:
The patent uses visual differentiation (such as color coding or highlighting) to distinguish abnormal waveform portions from normal ones in the comparison display. This visual encoding allows users to quickly identify abnormalities without needing to understand the underlying ECG terminology or patterns, maintaining information completeness while improving interpretability.
Data Source
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AI summary
A diagnosis report generation method and apparatus, a terminal device, and a readable storage medium are provided. The method includes: obtaining electrocardiography ECG data, where the ECG data includes abnormal heartbeat data (301); obtaining, based on the ECG data, an abnormal heartbeat waveform corresponding to the abnormal heartbeat data (302); combining a normal heartbeat waveform and the abnormal heartbeat waveform to obtain an abnormality comparison image (303); and generating a diagnosis report based on the abnormality comparison image (304). The abnormal heartbeat waveform is obtained by extracting and analyzing the ECG data, so that the abnormal heartbeat waveform can be combined and compared with the normal heartbeat waveform, to obtain the abnormality comparison image for generating the diagnosis report. When viewing the diagnosis report, a user can intuitively determine, based on the abnormality comparison image in the diagnosis report, the abnormal heartbeat waveform and a difference between the abnormal heartbeat waveform and the normal heartbeat waveform. This improves readability of the diagnosis report.