Automated pace-mapping for cardiac arrhythmia detection
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Solution Overview
Problem
Current methods for identifying arrhythmogenic foci associated with ventricular tachycardia are time-consuming and inaccurate, particularly for patients with unstable ventricular tachycardia, as they require extensive mapping procedures and manual comparison of ECG patterns.
Innovation Solution
The method automates the detection of ventricular tachycardia foci by numerically comparing induced signals with pace-mapped signals using mathematical techniques such as correlation analysis and principal component analysis, allowing for the identification of arrhythmogenic foci for potential ablation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual comparison of ECG patterns is used to identify arrhythmogenic foci, then measurement precision may be maintained, but loss of time increases significantly
Solution Approach 1:
The patent replaces manual visual comparison of ECG patterns with an automated computer-based system that uses signal processing algorithms to compare pace-mapped ECG signals with clinical arrhythmia ECG signals. This substitution of mechanical/manual analysis with automated computational analysis dramatically reduces procedure time while maintaining or improving identification accuracy through consistent, objective measurement.
Solution Approach 2:
The patent transforms the analysis from qualitative visual assessment to quantitative parameter-based comparison by extracting specific ECG signal parameters (morphology, timing intervals, amplitude characteristics) and comparing them numerically. This parameter-based approach enables automated processing and reduces subjectivity while improving measurement precision through consistent application of comparison criteria.
2Measurement precision
If extensive mapping procedures are performed to identify arrhythmogenic foci, then measurement precision improves, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent extracts and isolates the critical comparison function from the overall mapping system, creating a dedicated automated analysis module that specifically compares ECG signal parameters. This extraction allows the complex mapping procedures to be performed while the analysis burden is handled by a specialized subsystem, reducing the operational complexity for clinicians while maintaining high measurement precision.
Solution Approach 2:
The patent introduces a computer-based signal processing system as an intermediary between data acquisition and clinical decision-making. This intermediary automatically processes the extensive mapping data, performs parameter extraction and comparison, and presents results to clinicians, thereby managing system complexity while improving measurement precision through systematic analysis.
3Productivity
If automated signal comparison is implemented, then productivity increases, but measurement precision may deteriorate
Solution Approach 1:
The patent creates detailed digital copies of ECG signals with preserved morphological and temporal characteristics, allowing automated systems to analyze exact replicas of the clinical arrhythmia patterns. This copying approach enables rapid automated comparison while maintaining measurement precision by ensuring the digital representations faithfully reproduce the original signal features for accurate parameter extraction and comparison.
Data Source
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AI summary
Ventricular tachycardia signals are induced in a living subject. Pace-mapped signals are then obtained from multiple points within the ventricle, and automatically compared numerically with the induced signals. Recognition of a high degree of cross correlation between the induced signals and one or more of the pace-mapped signals identifies arrhythmogenic foci or pathways, which may then be ablated, so that the the arrhythmia becomes non-inducible.