Cardiac Model Alignment Using Coronary Sinus Catheter Sensors
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Solution Overview
Problem
Current medical procedures for aligning cardiac models with the position of the heart are susceptible to model drift and catheter drift due to physical movements of the heart during procedures, leading to inaccurate representations.
Innovation Solution
A method and system using a coronary sinus catheter with proximal, medial, and distal position sensors to determine positional changes and dynamically align a cardiac model by calculating positional change vectors based on signals from these sensors, allowing for linear and rotational shifts of the model to reflect actual heart position and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a cardiac model is constructed from position data gathered from sensors on a medical device, then the model can represent heart position and orientation, but the model becomes susceptible to model drift and catheter drift due to physical movements of the heart during procedures
Solution Approach 1:
The system dynamically updates the cardiac model by continuously tracking position changes of multiple sensors on the catheter. The model is adjusted in real-time based on measured positional changes, transforming the static model into a dynamic representation that adapts to heart movement during procedures.
Solution Approach 2:
The system uses feedback from multiple position sensors to detect drift and continuously corrects the cardiac model position. By monitoring sensor positions throughout the procedure and comparing them to the initial model, the system provides continuous feedback to maintain alignment between the model and actual heart position.
2Measurement precision
If multiple position sensors are used on the catheter to track heart movement, then the system can detect positional changes more accurately, but the device complexity increases
Solution Approach 1:
The system divides the catheter into multiple segments with individual position sensors at different locations (proximal, medial, distal). This segmentation allows the system to detect both translational and rotational movements of the catheter by tracking the relative positions of the segmented sensor locations.
Solution Approach 2:
The system uses an intermediary computational process that processes sensor data from multiple locations to calculate the position of a point of interest on the catheter. By using the relative positions of multiple sensors as intermediaries, the system can derive accurate position information without requiring direct measurement at every point.
3Reliability
If the cardiac model is dynamically updated based on sensor position changes, then the alignment accuracy is maintained throughout the procedure, but the computational processing requirements increase
Solution Approach 1:
The system performs partial updates to the cardiac model by calculating only the necessary positional adjustments based on sensor changes. Rather than completely reconstructing the model, the system applies incremental corrections to the existing model, reducing computational overhead while maintaining accuracy.
Data Source
AI summary
A method (94) for aligning a cardiac model can include receiving (95) an initial position signal from three position sensors (17, 39, 40) disposed along a distal end of a coronary sinus catheter (13) positioned in a coronary sinus (41) of a heart (10). The method (94) can include receiving (96) a subsequent position signal from the three position sensors (17, 39, 40). The method (94) can include determining (97) a positional change vector based on a change in position between an initial position associated with the initial position signal and a subsequent position associated with the subsequent position signal. The method (94) can include shifting (98) a point of interest associated with a cardiac model, using the positional change vector. The method (94) can include dynamically aligning (100) the cardiac model based on an updated position of the three position sensors (17, 39, 40).