Cardiac Wavefront Conduction Velocity From EP Time Gradients
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Solution Overview
Problem
Existing methods for calculating conduction velocity of cardiac activation wavefronts are inadequate, as they do not effectively utilize electrophysiological data to accurately determine spatial coordinates and local activation times, leading to inaccuracies in assessing cardiac tissue health.
Innovation Solution
A method involving the use of electrophysiological data points from a mapping catheter, defining neighboring points on a surface, and calculating conduction velocity as a norm function of a gradient for a linear function representing local activation time, allowing for precise determination of conduction velocity based on spatial coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to calculate conduction velocity, then the calculation process is simple, but the accuracy of conduction velocity determination is insufficient
Solution Approach 1:
The patent segments the electrophysiological data into discrete data points with specific spatial coordinates and local activation times. By dividing the continuous cardiac activation process into measurable discrete points, the method enables precise calculation of conduction velocity through gradient computation between neighboring points, thereby improving measurement accuracy without requiring complex additional hardware
Solution Approach 2:
The patent transitions from one-dimensional time-based measurements to three-dimensional spatial-temporal analysis by incorporating spatial coordinates (x, y, z) alongside local activation times. This dimensional expansion allows the construction of a activation time surface f(x,y) and computation of spatial gradients, significantly enhancing conduction velocity accuracy while maintaining computational feasibility through standard mathematical operations
2Reliability
If electrophysiological data points are used to define spatial coordinates and local activation times, then the assessment of cardiac tissue health is improved, but the data processing complexity increases
Solution Approach 1:
The patent employs self-service by utilizing the electrophysiological data points themselves to define both the spatial coordinates and local activation times required for analysis. The mapping catheter automatically collects and provides the necessary data, eliminating the need for separate measurement systems and reducing overall system complexity while improving assessment reliability through integrated multi-parameter measurement
Solution Approach 2:
The electrophysiological data points serve multiple functions simultaneously: they provide spatial location information, temporal activation information, and serve as the basis for gradient calculation. This multi-functionality of the data points improves cardiac tissue health assessment comprehensively while avoiding the need for separate dedicated measurement systems for each parameter, thereby controlling data processing complexity
Data Source
AI summary
A method for calculating conduction velocity of a cardiac activation wavefront from electrophysiological (“EP”) data points generated by a mapping system during a mapping procedure for a heart is provided. The method comprises for each EP data point comprising a local activation time, and position data defining a location within the heart corresponding to the local activation time: defining a neighborhood of EP points comprising the EP data point and a selection of neighboring EP data points; representing local activation time as a function f(x,y), where x and y our coordinates within a hyperplane defined to contain the neighborhood of EP data points based on the position data for each EP data point in the neighborhood; and calculating conduction velocity at the EP data point as a norm function of a gradient for the function f(x,y).