Cardiac Map Point Cycle Length Equalization
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Solution Overview
Problem
Current cardiovascular navigation systems face challenges in equalizing cardiac cycle lengths between different map points during cardiac mapping procedures, leading to variability in data analysis and visualization.
Innovation Solution
The method involves utilizing processors to acquire and equalize cycle lengths among map points through data processing techniques such as compression, truncation, and rotation, ensuring consistent analysis and visualization of cardiac events across the heart chamber.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cardiac mapping is performed at multiple map points with different native cycle lengths, then comprehensive cardiac coverage is achieved, but variability in data analysis and visualization occurs
Solution Approach 1:
The patent applies parameter changes by resampling cardiac signal data at a standardized rate regardless of the native cycle length at each map point. This transforms the temporal parameter of the signals to enable consistent comparison across different locations while preserving the underlying cardiac morphology and characteristics.
Solution Approach 2:
The system dynamically adjusts the analysis framework to accommodate varying cycle lengths by using flexible resampling techniques. The methodology adapts to each map point's native rhythm while harmonizing the data representation, allowing the system to handle dynamic physiological variations without compromising measurement precision.
2Measurement precision
If cycle lengths are equalized through data processing, then data analysis consistency is improved, but processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual cycle-length matching procedures with automated digital signal processing. By using computational resampling algorithms, the system achieves cycle length equalization through software-based time-axis transformation rather than cumbersome procedural adjustments.
Solution Approach 2:
The methodology changes the temporal parameter of the cardiac signals by resampling them at a common rate. This parameter transformation standardizes the time-axis across all map points, enabling consistent data analysis while the processing complexity is managed through systematic algorithmic approaches.
3Measurement precision
If standard resampling is applied to equalize cycle lengths, then data consistency is achieved, but physiological relevance of prolonged cycles may be lost
Solution Approach 1:
The patent applies partial action by resampling only to the extent necessary for consistent comparison, rather than fundamentally altering the physiological characteristics. The methodology preserves the essential morphological features and relative timing relationships while achieving sufficient standardization for meaningful data integration across map points.
Data Source
AI summary
A method and system are provided for equalizing cycle lengths among different map points during mapping studies. Different embodiments may be applicable to different circumstances and physiological settings. A compression embodiment encapsulates the entire behavior of a map point throughout its native cycle length. A truncation and rotation embodiment, and an extension and rotation embodiment allow for a more physiologically-relevant processing of the motion data.