3D Vector Loop Analysis for Micro Scar Detection in ECG
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Solution Overview
Problem
Current methods for diagnosing arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C) are limited in accurately assessing the risk of sudden cardiac death (SCD) due to the complex geometry of the right ventricle and the difficulty in detecting mild or localized forms of the disease, especially in asymptomatic individuals and athletes, as existing EKG and ultrasound techniques lack sufficient sensitivity and specificity.
Innovation Solution
The method involves vector analysis of electrocardiograms to quantify micro scars in three-dimensional vector loops, which represent deviations from an ideal curve, allowing for the early identification of ARVD/C by analyzing the shape and trajectory of electrical heart dipoles, enabling timely recognition of individuals at risk of SCD, even in healthy populations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional EKG and ultrasound techniques are used for diagnosis, then the diagnostic process is simple and accessible, but the sensitivity and specificity for detecting ARVD/C are insufficient
Solution Approach 1:
The patent transitions from traditional two-dimensional EKG analysis to three-dimensional vector loop analysis. By representing cardiac electrical activity as vectors in three-dimensional space (X, Y, Z coordinates) rather than simple waveforms, the method captures spatial information about depolarization patterns that reveals micro scars and ARVD/C pathology with higher sensitivity while maintaining compatibility with standard EKG recording equipment.
Solution Approach 2:
The invention changes the analytical parameters from conventional EKG wave amplitude and duration to vector magnitude, direction, and spatial trajectory in three-dimensional space. By calculating vector loops from standard EKG leads and analyzing their geometric properties (area, shape, orientation), the method extracts new diagnostic information that improves detection accuracy without requiring additional hardware.
2Measurement precision
If vector analysis in three-dimensional space is implemented, then detection accuracy for micro scars improves, but computational complexity increases
Solution Approach 1:
The patent segments the cardiac depolarization process into discrete vector components that can be calculated from standard EKG leads. By dividing the QRS complex into multiple time points and calculating vector coordinates at each point, the method builds three-dimensional loops through systematic segmentation of temporal and spatial data, making the computation manageable while achieving high precision in micro scar detection.
Solution Approach 2:
The invention creates a mathematical model (copy) of the three-dimensional cardiac electrical field based on two-dimensional EKG recordings. By using transformation equations to generate virtual vector loop data from standard lead recordings, the method achieves three-dimensional analysis capability without requiring physical three-dimensional sensors, thus reducing computational complexity while maintaining accuracy.
3Reliability
If early identification of ARVD/C is performed in asymptomatic individuals, then prevention of sudden cardiac death is improved, but false positive rates may increase
Solution Approach 1:
The patent incorporates feedback mechanisms where the three-dimensional vector loop characteristics are continuously refined and compared against established normal ranges. By using multiple parameters (vector magnitude, loop area, spatial orientation, temporal progression) rather than single metrics, the system provides redundant verification that reduces false positives while maintaining high sensitivity for early ARVD/C detection in asymptomatic populations.
Data Source
AI summary
A method for vector analysis of an electrocardiogram for assessment of risk of sudden cardiac death includes receiving data about electrical activity of heart of a subject recorded on electrocardiogram device, generating a vector cardiogram based on the data, analyzing the vector cardiogram to determine arrhythmogenic right ventricular dys-plasia/cardiomyopathy to identify a presence of a micro-scar in a three-dimensional vector loop of the vector cardiogram, determining a risk of SCD for the subject based on the identification of the presence of a micro-scar, and storing the risk in a database.