Stress Risk Prediction via Physiological Parameter Deviation
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Solution Overview
Problem
Current methods fail to accurately predict susceptibility to stress-related anxiety disorders and associated health outcomes in healthy individuals, lacking a simple and objective test for quantifying stress-related risk and long-term health consequences.
Innovation Solution
A method involving the measurement of at least three parameters - one sympathetic, one parasympathetic, and one hormonal parameter - during rest and stress conditions, with calculations to estimate and predict the risk of stress-related mood disorders by comparing measured and calculated values, using a standardized stress stimulus and control group data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current prediction methods are used, then susceptibility to stress-related anxiety disorders can be assessed, but the prediction accuracy is insufficient
Solution Approach 1:
The patent combines measurements from three different physiological systems (autonomous nervous system sympathetic parameter, autonomous nervous system parasympathetic parameter, and endocrine system hormonal parameter) into a unified prediction model. This multi-system integration allows for more accurate and reliable prediction of stress-related anxiety disorder susceptibility by capturing complementary aspects of the body's stress response.
2Reliability
If multiple parameters are measured during stress response, then prediction reliability improves, but the complexity of the testing procedure increases
Solution Approach 1:
The patent divides the stress response assessment into three distinct parameter categories (sympathetic, parasympathetic, and hormonal parameters), each measured independently during the stress response. This segmentation allows for systematic data collection and analysis while maintaining clear operational procedures for each parameter type, reducing overall procedural complexity.
Solution Approach 2:
The patent introduces a standardized stress stimulus as an intermediary element that triggers a consistent physiological response across all participants. This standardized stimulus serves as a controlled mediator between the testing procedure and the physiological measurements, ensuring reliability while simplifying the testing protocol through standardization.
3Ease of operation
If simple measurements are used, then ease of operation improves, but measurement precision deteriorates
Solution Approach 1:
The patent utilizes naturally occurring physiological parameters (heart rate variability for parasympathetic activity, skin conductance or similar for sympathetic activity, and cortisol or other hormone levels for endocrine response) that can be measured with relatively simple, non-invasive techniques. By selecting parameters that are both easily measurable and highly informative about stress response, the patent achieves high measurement precision without requiring complex instrumentation or procedures.
Data Source
AI summary
The present invention relates to a method to predict the risk of obtaining a stress related mood disorder or syndrome by a person, comprising a. Measuring at least three parameters comprising at least one sympathetic, one parasympathetic and one hormonal parameter during a stress response, said result of the measurement depicted as RS, RP and RH respectively; b. Estimate the value of one of these parameters by calculating it from the other two parameters; c. Predict the risk on basis of the deviation between calculated and measured value of the parameter that has been estimated in step b).