Stress Level Modeling With Hormonal and Questionnaire Data
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Solution Overview
Problem
Existing stress measurement methods fail to provide a holistic view of stress by integrating mental, physical, and physiological dimensions, often relying on isolated approaches that are limited in scope and prone to bias, and do not account for the dynamic nature of stress throughout the day.
Innovation Solution
A method and system that combines mental stress data from questionnaires, physical stress data from structured questions, and hormonal levels to derive a comprehensive stress reaction over time, validated using longitudinal stress reactions, enabling accurate and dynamic stress assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If isolated measurement approaches (wearable devices or questionnaires) are used to measure stress, then the measurement process is simple and quick, but the measurement precision and comprehensiveness are limited
Solution Approach 1:
The patent combines multiple isolated measurement approaches into a unified comprehensive stress assessment system. It integrates wearable device data (HRV, heart rate), questionnaire data (mental stress assessment), and hormonal biomarker data (cortisol, adrenaline) into a single cohesive stress level determination, thereby improving measurement precision without requiring each individual component to be overly complex
Solution Approach 2:
The system creates a universal stress measurement framework that can accommodate multiple data types from different sources (wearable devices, user inputs, laboratory tests). This multi-functional approach allows the same assessment methodology to evaluate various stress dimensions (acute stress, chronic stress, recovery) using diverse measurement tools, improving comprehensiveness while maintaining system flexibility
2Measurement precision
If single-point hormonal measurements are used, then the analysis process is simple and quick, but the measurement precision is insufficient to capture dynamic stress patterns
Solution Approach 1:
The patent implements continuous stress monitoring through multiple hormonal measurements taken at different time points (morning, evening, and during stress events). This continuous sampling approach captures the dynamic nature of stress hormones throughout the day, enabling precise identification of stress patterns and temporal variations while providing comprehensive stress profile data
Solution Approach 2:
The system uses longitudinal comparison of hormonal measurements to provide feedback about stress trends and patterns. By analyzing changes in cortisol and adrenaline levels across different time points and stress conditions, the system identifies stress responses and recovery patterns, improving measurement precision through iterative refinement of stress assessment based on observed temporal patterns
3Reliability
If subjective questionnaire data is collected, then the ease of operation is high, but the reliability is reduced due to bias and subjectivity
Solution Approach 1:
The patent merges subjective questionnaire data with objective physiological measurements (wearable device data and hormonal biomarkers) to create a more reliable stress assessment. The questionnaire provides contextual information about stressors and perceived stress, while the physiological data provides objective validation, thereby compensating for the biases and subjectivity inherent in self-reporting methods
Solution Approach 2:
The system uses physiological biomarkers (cortisol, adrenaline, HRV) as intermediaries that objectively reflect stress states. These biological markers serve as mediators between the subjective experience of stress and the measurement system, providing reliable, bias-free data that complements and validates self-reported questionnaire responses
Data Source
AI summary
A method for defining a stress level, the method including obtaining a first set of information related to mental stress from a user via a first questionary; obtaining a second set of information related to physical stress from the user via a second questionary; measuring a hormonal level at a first moment of time; using the first and second sets of information and the measured hormonal level to derive a stress reaction over a pre-defined period of time; validating the stress reaction using longitudinal stress reaction; and defining the stress level by modelling stress level from at least one of: the stress reaction from at least one of: the first and second questionaries; the validated stress reaction.