Dynamic Electroanatomical Mapping With Adaptive Sampling
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Solution Overview
Problem
Current electroanatomical mapping systems rely on fixed parameter values for data collection, which can be suboptimal as they are based on assumptions and may impede rapid data collection in some areas of the heart while being too detailed in others, leading to inefficient mapping procedures.
Innovation Solution
The system dynamically adjusts mapping processes based on catheter context characteristics such as velocity, position, and orientation, allowing for adaptive sampling and interpolation rates to optimize data collection according to the specific anatomical region and movement of the catheter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed parameter values are used for data collection, then the mapping process is simple and reliable, but the mapping precision and efficiency deteriorate because the parameters cannot adapt to different anatomical regions and catheter velocities
Solution Approach 1:
The patent implements dynamic parameter adjustment where the sampling rate and interpolation degree are automatically modified based on real-time catheter velocity and anatomical region. The system transitions from static fixed parameters to dynamic adaptive parameters that respond to operational conditions, thereby improving mapping precision without requiring manual complexity adjustment.
Solution Approach 2:
The system changes physical or operational parameters (sampling rate, interpolation degree) based on detected catheter context characteristics. When the catheter moves faster or enters specific anatomical regions, the system automatically adjusts these parameters to optimize data collection quality, resolving the contradiction between precision and complexity.
2Measurement precision
If high sampling rates and interpolation degrees are applied throughout, then surface detail and mapping precision improve, but data collection time increases and productivity decreases
Solution Approach 1:
The patent applies different processing parameters to different anatomical regions and motion contexts. High sampling rates and interpolation degrees are applied locally only when needed (e.g., in critical anatomical regions or when catheter velocity is low), while lower parameters are used in less critical areas or during rapid movements, thereby maintaining surface detail where important and improving overall productivity.
Solution Approach 2:
The system applies high processing intensity partially only when necessary rather than excessively throughout the entire mapping process. By detecting catheter context characteristics, the system selectively applies high sampling rates and interpolation only in specific situations, avoiding unnecessary processing time while maintaining precision where required.
3Productivity
If low sampling rates and interpolation degrees are used, then data collection speed improves, but webbing effects increase and surface detail deteriorates
Solution Approach 1:
The system uses feedback from catheter position and velocity detection to dynamically adjust sampling rates and interpolation degrees. When the catheter moves slowly or enters regions requiring high detail, the system increases sampling rate and interpolation degree through feedback control, preventing webbing effects and maintaining surface detail while allowing high-speed mapping when appropriate.
4Productivity
If adaptive parameter adjustment is implemented, then mapping efficiency and precision improve, but the device complexity and computational requirements increase
Solution Approach 1:
The system performs self-adjustment of parameters based on automatically detected catheter context characteristics. The mapping system monitors its own operational state (catheter velocity, position) and autonomously modifies sampling rates and interpolation degrees without external intervention, improving efficiency while keeping the complexity management internal to the system itself.
Data Source
AI summary
A system to generate an electroanatomical map of patient's heart is disclosed. The system includes a catheter including an electrode to detect physiological signals from within the patient's heart and a location sensor to generate location signals representative of a location of the catheter within the patient's heart, a display device, and a controller. The controller determines a catheter context characteristic based on the location signals, collects the physiological signals according to a collection parameter. The collection parameter is based on the determined catheter context characteristic. The controller further collects anatomical location signals corresponding to a measurement location associated with each of the physiological signals and generates, on the display device, a three-dimensional representation of the patient's heart based on the physiological signals and the anatomical location signals.