3D Basket Catheter Mapping Resolution via Far-Field Interference Removal
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Solution Overview
Problem
Current intracorporeal medical devices, such as catheters, face limitations in accurately detecting and mapping cardiac electrophysiology due to limited electrode resolution and interference from far-field electrical activity, which hinders precise diagnostic and therapeutic procedures.
Innovation Solution
A medical device system featuring a flexible catheter with a three-dimensional basket structure carrying multiple electrodes, coupled with a processing system that analyzes and combines high-resolution data from localized regions to generate detailed cardiac maps, allowing for accurate detection of near-field signals and reducing interference from far-field artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple electrodes are used to increase mapping resolution, then measurement precision improves, but device complexity increases
Solution Approach 1:
The catheter is divided into multiple segments or sections, each containing a subset of electrodes. This allows the complex multi-electrode array to be managed in modular sections, reducing overall device complexity while maintaining high measurement precision through the combined data from all segments.
Solution Approach 2:
The patent transitions from two-dimensional electrode arrays to three-dimensional configurations, arranging electrodes in complex spatial patterns that maximize mapping resolution. This dimensional change allows more electrodes to be packed efficiently in space without linearly increasing device complexity.
2Measurement precision
If electrodes are placed closer together to increase resolution, then measurement precision improves, but far-field interference increases
Solution Approach 1:
The patent extracts and removes far-field electrical artifacts from the detected signals through signal processing techniques. By separating the harmful far-field components from the useful near-field cardiac signals, the system maintains high detection resolution while eliminating interference that would otherwise corrupt the measurements.
Solution Approach 2:
The system uses feedback mechanisms to continuously monitor and adjust for far-field interference. By comparing signals from multiple electrodes and using reference measurements, the system dynamically compensates for far-field artifacts, maintaining measurement precision even when electrodes are closely spaced.
3Measurement precision
If signal processing is enhanced to reduce interference, then measurement precision improves, but device complexity increases
Solution Approach 1:
The signal processing system is designed to be self-calibrating and self-adjusting. The processing algorithms automatically adapt to different physiological conditions and interference patterns without requiring manual intervention or complex external control systems, thereby improving signal accuracy while limiting the increase in overall device complexity.
Data Source
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AI summary
Medical devices and methods for using medical devices are disclosed. An example mapping medical device may include a catheter shaft with a plurality of electrodes. The catheter shaft may be coupled to a processor. The processor may be capable of collecting a first set of signals from a first location, collecting a second set of signals from a second location, characterizing the first set of signals over a first time period, characterizing the second set of signals over a second time period, comparing the first set of signals to the second set of signals and matching a first signal from the first set of signals with a second signal from the second set of signals.