Physiological Parameter Estimation via Regression Analysis
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Solution Overview
Problem
Existing methods for monitoring physiological parameters, such as blood pressure, result in intermittent measurements, leading to a lack of continuous monitoring.
Innovation Solution
An estimating device that receives intermittent measurements of a first physiological parameter and higher-frequency measurements of additional parameters, using regression analysis to calculate and present estimated values of the first parameter, simulating continuous monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physiological parameter measurements are performed intermittently at a lower frequency, then measurement reliability is improved, but monitoring continuity deteriorates
Solution Approach 1:
The patent creates estimated value data as a copy or surrogate of the actual measured physiological parameter values. By using regression analysis to generate estimated values from related physiological parameters, the system produces continuous monitoring data that replicates the appearance of continuous measurement without performing actual continuous measurements, thus maintaining measurement reliability while achieving monitoring continuity.
Solution Approach 2:
The patent introduces estimated value data as an intermediary between actual intermittent measurements. This intermediary data, generated through regression analysis using related physiological parameters, bridges the gaps between intermittent measurements and creates the appearance of continuous monitoring, resolving the contradiction between measurement reliability and monitoring continuity.
2Duration of action of moving object
If physiological parameter measurements are performed at a higher frequency to achieve continuous monitoring, then monitoring continuity is improved, but device complexity increases
Solution Approach 1:
Instead of performing actual high-frequency measurements that would increase device complexity, the patent generates estimated value data as a copy. This approach achieves continuous monitoring appearance by calculating estimated values from existing measurements and related parameters, avoiding the need for complex high-frequency measurement hardware and processing systems.
Solution Approach 2:
The patent replaces the mechanical measurement system with a computational estimation system. Rather than using hardware to perform continuous physical measurements, the system uses regression analysis and data processing to generate estimated values, substituting complex mechanical measurement infrastructure with simpler computational methods.
3Device complexity
If intermittent measurements are performed at a lower frequency, then device complexity is reduced, but information completeness deteriorates
Solution Approach 1:
The patent generates estimated value data as a copy to fill information gaps. By using regression analysis to create estimated values based on related physiological parameters, the system compensates for the information loss inherent in intermittent measurements, maintaining information completeness while keeping device complexity low.
Solution Approach 2:
The system uses feedback from related physiological parameters to generate estimated values. By continuously monitoring related parameters and using them in regression analysis, the system compensates for information loss in the primary physiological parameter, maintaining information completeness without requiring frequent direct measurements.
Data Source
AI summary
A first input interface receives measured values of non-invasive blood pressure of a subject intermittently at a first frequency. A second input interface receives measured values of pulse wave transit time of the subject at a second frequency higher than the first frequency. A processor executes regression analysis processing based on the measured values received until when a measured value acquired by Nth (N is an integer that is no less than 2) measurement of the non-invasive blood pressure is received to acquire a regression equation in which the measured value is set as an explanatory variable. An information presenting device visibly presents estimated values of the non-invasive blood pressure calculated with the regression equation and the measured values, until a measured value acquired by (N+1)th measurement of the non-invasive blood pressure is received.