Cardiac Cycle Selection for CRT Optimization
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Solution Overview
Problem
Current systems for cardiac resynchronization therapy (CRT) optimization rely heavily on invasive methods and require extensive computational resources, often using a single QRS complex for parameter determination, which can be inefficient and redundant.
Innovation Solution
A noninvasive system using external electrodes to monitor electrical activity, generate metrics from single-cycle and cycle-series submetrics, and select a representative cardiac cycle for further analysis, reducing computational costs and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single QRS complex is used for parameter determination, then the computational cost is reduced, but the measurement precision and reliability deteriorate due to potential irregular patterns and redundancy
Solution Approach 1:
The system performs preliminary analysis of multiple cardiac cycles to identify and eliminate those with irregular patterns (PVCs, PACs, fusion beats) before selecting the representative cycle for detailed parameter determination. This pre-screening process ensures that only high-quality cycles are used for final measurements, improving both efficiency and accuracy.
Solution Approach 2:
The system creates a representative copy of the cardiac cycle that best reflects the patient's conduction pattern under current pacing parameters. By selecting one representative cycle from multiple analyzed cycles, the system avoids redundant calculations while maintaining measurement precision through careful selection criteria based on cycle regularity and representativeness.
2Measurement precision
If multiple cardiac cycles are analyzed to select a representative cycle, then the measurement precision improves, but the computational cost and time increase
Solution Approach 1:
The analysis process is segmented into distinct stages: initial screening of multiple cycles for irregular patterns, identification of candidate representative cycles, and final selection based on representativeness criteria. This segmentation allows efficient processing by eliminating unsuitable cycles early without requiring exhaustive analysis of all cycles.
Solution Approach 2:
The system analyzes a limited number of cardiac cycles (excessive but not all possible cycles) to ensure adequate sampling for representative selection, rather than attempting to analyze every available cycle. This partial analysis approach provides sufficient statistical basis for selection while maintaining computational feasibility.
3Measurement precision
If invasive methods are used for CRT optimization, then the measurement precision improves, but the ease of operation and patient comfort worsen
Solution Approach 1:
The system replaces invasive mechanical measurement methods with noninvasive electrical signal analysis through ECG electrodes. By using surface electrodes to capture and analyze cardiac electrical activity, the system achieves accurate CRT optimization parameters without requiring invasive lead placement or surgical intervention, thereby improving patient comfort and ease of operation while maintaining measurement precision.
Data Source
AI summary
Systems and methods are described herein for selection of a cardiac cycle, or heartbeat, from a plurality of cardiac cycles monitored over time. The cardiac cycle may be selected using various metrics including a single-cycle metric and a cycle-series metric. Further, the selected cardiac cycle may be used for further cardiac analysis (for example, to generate electrical activation times).