Catheter Stability Assessment for Accurate Electrical Signal Mapping
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Solution Overview
Problem
Existing catheter-based medical diagnosis techniques fail to account for and correct irrelevant data collected during suboptimal scenarios, leading to inaccurate medical assessments.
Innovation Solution
A determination engine using machine learning and artificial intelligence to determine catheter stability, process electrical signals, and assign positions in space based on stability, enhancing data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the catheter is allowed to move freely during data collection, then the ease of operation is improved, but the measurement precision deteriorates due to irrelevant data collected during suboptimal scenarios
Solution Approach 1:
The system performs preliminary stability assessment before data collection by analyzing catheter position over a predefined period. This preliminary action identifies whether the catheter is stable enough for accurate measurements, preventing collection of irrelevant data from suboptimal positions while maintaining operational flexibility
Solution Approach 2:
The system continuously monitors catheter position and provides feedback on stability status. By comparing current position with historical position data, the system determines whether the catheter has remained stable, enabling real-time quality assessment of collected electrical signals without restricting catheter movement
2Measurement precision
If the catheter position is strictly controlled to ensure stability, then the measurement precision is improved, but the device complexity increases due to additional stability determination mechanisms
Solution Approach 1:
The system uses the catheter's own position data, already being collected for navigation purposes, to perform self-assessment of stability. By analyzing the temporal consistency of position information that already exists in the system, no additional sensors or complex stabilization mechanisms are required
Solution Approach 2:
The determination engine performs multiple functions using the same position data: it enables stability assessment, validates data quality, and supports diagnostic decisions. This multi-functionality approach avoids adding separate systems while achieving precise measurement through intelligent data processing
3Quantity of substance
If all electrical signals are collected and stored regardless of catheter stability, then the quantity of data is increased, but the loss of information increases due to inclusion of irrelevant data from unstable positions
Solution Approach 1:
The system extracts and identifies relevant data by analyzing catheter position stability over time. Electrical signals collected during unstable periods are separated from those collected during stable periods, allowing selective retention of only the diagnostically relevant information while discarding irrelevant data from suboptimal positions
Data Source
AI summary
A method for determining catheter stability is provided. The method is implemented by a determination engine stored as processor executable code in a memory coupled to one or more processors The method includes determining stability with respect to movement of a catheter and receiving electrical signals captured by the catheter in correlation to the stability. The method also include assigning a position in space to the electrical signals based on the stability.