Catheter Velocity Filtering for Motion-Stable Electro-Anatomical Mapping
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Solution Overview
Problem
Current methods for electro-anatomical mapping fail to account for the complex and asynchronous nature of cardiac and respiratory motions, leading to inconsistencies in signal quality and accuracy due to noise and artifacts introduced by heart and respiratory movements.
Innovation Solution
An apparatus and method that utilize catheter velocity to filter potential signals by deriving a velocity signal from position data, identifying local minimum velocities, and processing position signals using a motion filter based on minimum velocity times and positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional signal collection methods are used during EA mapping, then the process is simple and fast, but signal quality deteriorates due to motion artifacts from cardiac and respiratory movements
Solution Approach 1:
The system performs preliminary actions by deriving velocity signals from position data before signal filtering, identifying periods of minimal motion in advance. This allows the motion filter to process potential signals during optimal time windows before artifacts are introduced, improving signal quality without requiring complex real-time intervention during signal acquisition.
Solution Approach 2:
A velocity signal is introduced as an intermediary between position data and signal filtering. This intermediate parameter enables the system to characterize catheter motion and identify minimal motion periods, which then guides the motion filter processing. The velocity signal acts as a mediator that translates positional information into actionable filtering criteria.
2Measurement precision
If motion filtering is applied to all signals, then signal accuracy improves, but processing time increases
Solution Approach 1:
Instead of applying motion filtering to all potential signals uniformly, the system applies filtering selectively based on velocity-derived criteria. By identifying periods of minimal motion through velocity analysis, the system applies filtering only when necessary to achieve acceptable signal accuracy, avoiding unnecessary processing time for signals already acquired during stable periods.
Solution Approach 2:
The system dynamically adjusts signal processing based on real-time velocity characteristics. The motion filter application is not static but adapts to the instantaneous motion state of the catheter, applying filtering only when velocity thresholds indicate significant motion artifacts are present, thereby optimizing the balance between accuracy and processing time.
3Object-affected harmful factors
If velocity-based filtering is implemented, then motion artifact reduction improves, but computational requirements increase
Solution Approach 1:
The signal processing is segmented into distinct stages: velocity derivation from position data, identification of minimal motion periods, and conditional application of motion filtering. This segmentation allows the system to process only the necessary portions of the signal chain, reducing overall computational requirements while maintaining effective motion artifact reduction through targeted filtering.
Data Source
AI summary
An apparatus and method for filtering a potential signal using catheter velocity during electro-anatomical mapping. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to derive at least a velocity signal from the at least a position signal. The memory instructs the processor to identify, using the at least a velocity signal, a local minimum velocity. The memory instructs the processor to process, using a motion filter, the at least a position signal as a function of the at least a minimum velocity time and the at least a minimum velocity position.