Real-Time Cardiac Valve Function Modeling
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Solution Overview
Problem
Current methods for mitral valve repair, such as edge-to-edge repair, face challenges in determining the optimal number of devices needed to restore proper valve function during minimally invasive procedures, often relying on qualitative anatomical inspection and user-dependent measurements, which can lead to uncertainty and potential impairment of ventricular filling.
Innovation Solution
A system that uses real-time hemodynamic modeling based on continuous physiological data from sensors like electrocardiogram, blood pressure, and ultrasound to simulate and predict valve function, providing more accurate decision-making support during valve repair procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If edge-to-edge repair devices are placed to reduce mitral valve regurgitation, then retrograde flow into the atrium is reduced, but the orifice area is reduced which may impair ventricular filling
Solution Approach 1:
The system performs preliminary hemodynamic simulation and prediction before the actual repair procedure to determine the optimal number and placement of repair devices, avoiding the need for trial-and-error adjustments during the procedure that could further reduce orifice area
Solution Approach 2:
The system provides real-time feedback during the procedure by comparing actual hemodynamic measurements with simulated predictions, allowing the clinician to adjust the repair configuration to maintain adequate orifice area while achieving sufficient regurgitation reduction
2Measurement precision
If quantitative hemodynamic data is used to guide repair decisions, then decision accuracy is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system introduces a computational modeling intermediary that translates complex hemodynamic data into simplified visual representations and predictions, making the data interpretable for clinical decision-making without requiring the clinician to directly analyze complex raw data
Solution Approach 2:
The system creates a virtual copy (computational model) of the patient's cardiac system that can be manipulated and analyzed separately from the actual patient, allowing comprehensive hemodynamic assessment without adding physical complexity to the repair devices themselves
3Reliability
If real-time hemodynamic modeling is implemented during the procedure, then uncertainty in repair sufficiency is reduced, but procedure time and computational requirements increase
Solution Approach 1:
Computationally intensive hemodynamic modeling and optimization calculations are performed preliminarily before the procedure or during setup time, so that during the actual repair procedure only lightweight updates and comparisons are needed, minimizing time loss during the critical intervention phase
Solution Approach 2:
The system implements a dynamic modeling approach where the full hemodynamic model is built once, and then updated in real-time with minimal computational overhead as repair devices are deployed, allowing rapid assessment of repair sufficiency without recalculating the entire model
Data Source
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AI summary
The invention provides a system for determining a real-time valve function of a subject. The system comprises a processing unit adapted to: obtain a numerical model of a cardiac system, the numerical model being a 0D numerical model or a 1D numerical model, wherein the numerical model is adapted to receive physiological data as an input and output a simulated function of the cardiac system in real-time, wherein the simulated function of the cardiac system comprises a simulated function of a valve within the cardiac system. The processor is further adapted to obtain a continuous stream of physiological data from the subject; provide the continuous stream of physiological data as an input to the numerical model of the cardiac system, thereby generating a simulated real-time function of the cardiac system of the subject; and determine a real-time valve function of the subject based on the simulated real-time function of the cardiac system of the subject.