Sympathetic Arousal Estimation via Physiological Correlation Engine
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Solution Overview
Problem
Current methods for determining stress levels in individuals are either expensive, time-consuming, or unreliable, such as cortisol testing and subjective questionnaires, and wearable devices often provide inaccurate data due to post-processing issues.
Innovation Solution
A method and system that utilize physiological data like galvanic skin response, skin blood perfusion, and heart rate data to estimate sympathetic nervous activity levels through a correlation engine trained with empirical data from multiple subjects, allowing for real-time stress quantification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cortisol levels are measured through laboratory analysis, then stress level determination is possible, but the method is expensive and time-consuming
Solution Approach 1:
The patent replaces the mechanical/chemical laboratory analysis system with an optical/electrical sensing system. Wearable devices use photoplethysmography (PPG) sensors to detect physiological signals (blood volume changes, heart rate variability) that correlate with stress levels, eliminating the need for laboratory-based cortisol analysis while providing real-time results
Solution Approach 2:
The patent creates a functional copy of the cortisol testing capability using indirect physiological markers. Instead of measuring cortisol directly, the system measures correlated physiological responses (heart rate variability, skin conductance, blood volume pulse) that reflect sympathetic nervous system activation, providing equivalent stress assessment information without laboratory analysis
2Ease of manufacture
If questionnaire methods are used to assess stress levels, then the approach is simple and inexpensive, but the results are unreliable and highly subjective
Solution Approach 1:
The patent introduces physiological signals as an intermediary between the subject's stress state and the measurement system. Rather than relying on subjective self-reporting, the wearable device objectively captures physiological responses (heart rate variability, galvanic skin response, blood volume pulse) that serve as reliable mediators of stress level, eliminating subjectivity while maintaining simplicity
3Ease of operation
If wearable devices measure heart rate, breathing rate, and blood pressure, then the method can be used in ambulatory environment, but the data requires post-processing that reduces correlation with sympathetic arousal
Solution Approach 1:
The patent segments the physiological measurement into multiple independent channels (PPG for blood volume pulse and heart rate variability, galvanic skin response for sympathetic activation, respiratory rate from chest motion). Each channel captures a different aspect of stress response, and their combined analysis provides more precise correlation with sympathetic arousal than any single measure alone
Solution Approach 2:
The patent creates a composite measurement approach by combining multiple physiological signal types (optical PPG signals, electrical GSR signals, mechanical respiratory signals) into a unified stress assessment. This composite methodology leverages the complementary information from different physiological systems to achieve higher correlation with sympathetic arousal than individual measures
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a fast, reliable, and inexpensive means to accurately estimate stress levels in real-time, improving upon existing methods by using a correlation engine to process physiological data and correlate it with sympathetic nervous activity signals for precise stress assessment.
Implementation Method 1
obtaining physiological data from the subject, the physiological data including at least one of galvanic skin response data
Implementation Method 2
skin blood perfusion data, and heart rate data
Data Source
AI summary
A method (100) for estimating sympathetic arousal of a subject, the method (100) comprising the steps of: obtaining physiological data (500) from the subject (102), the physiological data (500) including at least one of galvanic skin response data, skin blood perfusion data, and heart rate data of the subject; processing the physiological data (500) to determine one or more features of the physiological data (500); providing the one or more features of the physiological data (500) to a correlation engine (300), the correlation engine (300) configured to correlate the one or more features of the physiological data (500) with a database (400) representing sympathetic nervous activity signals to estimate a sympathetic nervous activity level of the subject; and generating an output of the estimated sympathetic nervous activity level of the subject.