Adaptive Blood Pressure Monitoring with Dynamic Baseline Adjustment
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Solution Overview
Problem
Traditional non-invasive blood pressure monitoring devices are often inaccurate and time-consuming, leading to extended patient wait times and decreased efficiency in healthcare settings, as they typically require inflating a cuff to high pressures and take several minutes to determine blood pressure measurements without adapting to variations in patient blood pressure.
Innovation Solution
A patient monitoring system that performs a series of value determinations in a closed-loop manner, inflating and deflating a cuff around a patient's limb to occlude a vessel, determining blood pressure values, and using a controller to adjust a baseline value based on differences within predetermined ranges, allowing for rapid and accurate estimation of blood pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional non-invasive blood pressure monitoring devices inflate a cuff to high pressures to ensure complete occlusion, then measurement reliability is improved, but measurement time increases and patient wait time extends
Solution Approach 1:
The system performs preliminary actions by taking a sequence of blood pressure measurements before determining the final estimate. Multiple measurements are collected during cuff inflation and deflation phases, allowing the system to establish a baseline and identify stabilized values before final calculation, thereby reducing the need for extended single measurements
Solution Approach 2:
The system dynamically adapts the measurement process by adjusting the number and timing of measurements based on observed blood pressure variations. The controller determines whether to take additional measurements or proceed to estimation based on the stability of observed values, making the measurement process flexible rather than fixed in duration
2Reliability
If the system takes a predetermined number of consecutive blood pressure measurements over several minutes, then measurement completeness is improved, but facility efficiency decreases due to extended patient wait times
Solution Approach 1:
The system performs partial measurements by taking only as many readings as necessary to establish stability rather than completing a full predetermined sequence. If blood pressure values stabilize within a predetermined range, the system can proceed to estimation with fewer measurements, avoiding unnecessary delays while maintaining measurement completeness
Solution Approach 2:
The system uses feedback from observed blood pressure variations to control the measurement process. The controller continuously monitors measured values against baseline and predetermined ranges, using this feedback to determine whether additional measurements are needed or whether the estimate can be determined, thereby optimizing measurement duration based on actual patient data
3Stability of the object's composition
If the system uses a fixed sequence of measurements without adapting to patient blood pressure variations, then measurement consistency is improved, but measurement accuracy decreases
Solution Approach 1:
The system dynamically adapts to patient blood pressure variations by adjusting the measurement sequence based on observed values. When blood pressure stabilizes within a predetermined range, the system recognizes this stability and can proceed with accurate estimation. The measurement process becomes flexible, adapting to the patient's physiological state rather than following a rigid fixed sequence
Solution Approach 2:
The controller uses feedback from each measurement to determine the next steps in the measurement sequence. By comparing measured values to baseline and evaluating whether they fall within predetermined ranges, the system receives continuous feedback about patient blood pressure stability, allowing it to maintain consistency in stable conditions while improving accuracy by adapting to variations when they occur
Data Source
AI summary
A method of determining a value indicative of a hemodynamic parameter of a patient includes performing a plurality of value determinations. Performing the plurality of value determinations includes determining a first value indicative of the hemodynamic parameter, determining, with a controller, a difference between the first value and a baseline associated with the first value, and replacing the baseline with the first value, in a memory of the controller, if the difference is outside of a predetermined range. The method also includes determining an estimate of the hemodynamic parameter based on acceptable values determined during the plurality of value determinations.