ECG Morphology Matching Algorithm for Arrhythmia Identification
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Solution Overview
Problem
Existing methods for mapping heart regions causing arrhythmia inaccurately include signals from ectopic beats and morphological changes, leading to distorted visualization and difficulty in identifying arrhythmia mechanisms.
Innovation Solution
An ECG morphology matching algorithm that selects an initial set of ECG signals as a template, performs cross-correlation with subsequent signals within defined time windows, and incorporates arrhythmia locations into a heart map when a correlation coefficient exceeds a threshold, distinguishing arrhythmia-caused heartbeats from others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all ECG signals are included in the arrhythmia map, then the map coverage is complete, but the accuracy of arrhythmia identification deteriorates due to inclusion of ectopic beats and morphological variations
Solution Approach 1:
The patent applies parameter changes by comparing morphological parameters of ECG signals against template signals. The system changes parameters such as correlation coefficients and morphological similarity metrics to distinguish arrhythmia-causing signals from ectopic beats and normal variations, thereby improving identification accuracy while maintaining manageable complexity through automated parameter-based filtering
Solution Approach 2:
The patent uses copying by creating template ECG signals from representative arrhythmia beats and using these templates to compare against subsequent signals. This template-based approach allows the system to identify matching morphologies without manually analyzing each signal, resolving the contradiction between accuracy and complexity
2Measurement precision
If ECG signals are compared without time window constraints, then the morphological matching is more flexible, but the precision of arrhythmia localization deteriorates
Solution Approach 1:
The patent applies segmentation by dividing the ECG signal comparison into specific time windows around key features such as QRS complexes. This segmentation allows precise localization of arrhythmia events while maintaining flexibility within each time window, resolving the contradiction between precision and adaptability
Solution Approach 2:
The patent uses preliminary action by pre-defining time windows and template signals before comparing subsequent ECG signals. This preliminary setup enables both precise localization through fixed time windows and morphological flexibility through template matching, simultaneously achieving both measurement precision and adaptability
3Productivity
If real-time ECG signal processing is performed, then the arrhythmia detection speed is improved, but the computational complexity increases
Solution Approach 1:
The patent applies taking out by extracting only the essential morphological features and comparing them against templates, rather than processing entire ECG signals in real-time. This extraction approach maintains fast detection speed while reducing computational complexity by focusing only on relevant signal characteristics
Solution Approach 2:
The patent uses copying of template signals to enable rapid comparison without complex real-time analysis. By storing pre-processed templates and comparing against them, the system achieves real-time detection performance with reduced computational burden, resolving the contradiction between productivity and complexity
Data Source
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AI summary
A method, including selecting an initial set of electrocardiograph (ECG) signals taken over a single heartbeat of a human subject, the set having respective morphologies to be used as a template for an arrhythmia of the subject, and receiving a subsequent set of ECG signals taken over a subsequent heartbeat of the human subject. The method also includes performing a cross-correlation between the initial set and the subsequent set, so as to generate a correlation coefficient that is a measure of a goodness of fit between geometries of the initial set and the subsequent set, and, when the correlation coefficient exceeds a threshold coefficient, accepting the subsequent heartbeat as having been caused by the arrhythmia.