Heart Sensor Output Processing Using Windkessel Model
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Solution Overview
Problem
Existing methods for continuous monitoring of arterial blood pressure and flow in critically ill patients are hindered by the operation of heart assist devices, which disrupt accurate data collection and require complex synchronization with cardiac cycles.
Innovation Solution
A method using the Windkessel arterial flow model to derive simulated aortic blood pressure by manipulating arterial flow parameters, allowing for continuous monitoring and compensation for the effects of heart assist devices, enabling accurate blood flow and pressure monitoring even when the device is operative.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If a pressure line connected to a pressure transducer is introduced into an artery for continuous monitoring, then continuous pressure signal monitoring is achieved, but the operation of heart assist devices disturbs accurate monitoring
Solution Approach 1:
The patent uses a mathematical model (Windkessel model) as an intermediary to estimate arterial blood pressure and blood flow from ventricular pressure measurements. This model acts as a mediator that translates the disturbed aortic pressure signal into accurate estimates of actual physiological parameters, resolving the contradiction between continuous monitoring and measurement accuracy during heart assist device operation
Solution Approach 2:
The patent replaces direct mechanical pressure measurement in the aorta with a computational model that calculates blood pressure and flow from ventricular pressure data. This substitution of mechanical measurement with mathematical modeling allows continuous monitoring without the disturbances caused by heart assist device operation in the aortic pressure signal
2Measurement precision
If heart assist device operation is synchronized with cardiac cycles for accurate monitoring, then measurement accuracy improves, but system complexity increases
Solution Approach 1:
The mathematical model automatically adapts to heart assist device operation by using the ventricular pressure signal characteristics itself to drive the Windkessel model calculations. The system serves itself by using the available ventricular pressure data without requiring external synchronization signals or complex coordination with the heart assist device controller, thereby maintaining measurement accuracy while minimizing system complexity
Data Source
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AI summary
The disclosure relates to a method and system for processing a heart sensor output, wherein a blood flow and a simulated aortic blood pressure are derived from a sensed blood pressure using an arterial flow model and values for arterial flow parameters. The simulated aortic blood pressure is matched to a part of the sensed blood pressure in the cardiac cycle by manipulating at least one of the values for the arterial flow parameters of the arterial flow model.