Wearable Stress Sensor Patch with Microfluidic Sweat Sampling
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Solution Overview
Problem
Current wearable sensors for stress monitoring lack effective continuous monitoring strategies and are unable to measure key biomarkers sufficiently due to limited biomarker detection, high power requirements, and fragility, making them unsuitable for long-term wear and accurate stress assessment.
Innovation Solution
A wearable assessment system with a sweat sensor patch integrated with a microfluidic sampling component and multiple sensors, including enzymatic biosensors and ion-selective sensors, that induces sweat production and analyzes metabolites and electrolytes, coupled with a smart device for real-time data analysis and stress assessment using machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensors are used for stress monitoring, then the device structure is simple, but the measurement precision of stress-related biomarkers is insufficient
Solution Approach 1:
The sensor system is segmented into multiple specialized sensors, each designed to detect specific biomarkers (cortisol, catecholamines, metabolites, electrolytes). This segmentation allows each sensor to be optimized for its specific target, improving measurement precision while managing complexity through modular design
Solution Approach 2:
The wearable device integrates multiple sensing functions into a single platform that can simultaneously monitor various stress-related biomarkers. This multi-functionality approach consolidates what would otherwise require separate devices, achieving comprehensive biomarker detection without proportionally increasing device complexity
2Duration of action of moving object
If existing sweat sensors are used, then the device can be worn, but the power consumption is high and duration of action is limited
Solution Approach 1:
The system employs periodic sweat induction through controlled electrical stimulation rather than continuous stimulation. This allows the sensors to sample biomarkers at intervals, significantly reducing power consumption while maintaining the ability to track stress responses over extended periods
Solution Approach 2:
The device maintains continuous monitoring capability through a combination of periodic sweat induction and continuous sensor readiness. The system remains in a low-power state between measurements but can quickly transition to active sensing when needed, ensuring continuous useful action without sustained high power consumption
3Reliability
If existing sensors are used, then the device can be manufactured, but the reliability for long-term wear is poor due to fragility
Solution Approach 1:
The sensor system is constructed using flexible substrates and thin-film technologies that can conform to the skin surface. This flexible construction dramatically improves reliability for long-term wear compared to rigid conventional sensors, while the thin-film fabrication methods enable scalable manufacturing
Solution Approach 2:
The device incorporates composite material structures combining flexible substrates, biocompatible coatings, and integrated sensor elements. These composite constructions enhance mechanical durability and reliability for continuous wear, while the modular composite structure facilitates standardized manufacturing processes
4Measurement precision
If a limited set of biomarkers is measured, then the device complexity is low, but the measurement precision of stress assessment is insufficient
Solution Approach 1:
The biomarker detection system is segmented into specialized sensor modules, each targeting specific stress-related substances (cortisol, catecholamines, metabolites, electrolytes). This segmentation enables comprehensive stress assessment through multiple biomarkers while managing complexity through modular sensor design
Solution Approach 2:
The wearable platform provides universal stress assessment capability by integrating multiple biomarker detection functions into a single device. This multi-functional approach enables comprehensive stress evaluation without requiring multiple separate devices, balancing assessment accuracy with device complexity
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
Enables continuous, non-invasive monitoring of stress-related biomarkers, providing accurate and reliable stress assessments over extended periods with improved stability and reduced power consumption, suitable for long-term wear and clinical applications.
Implementation Method 1
a sweat sensor patch adapted to adhere to and induce sweat production from a human patient's skin
Implementation Method 2
a microfluidic sampling component that includes multiple inlets that contact the human patient's skin and are configured to collect a sweat sample from the human patient's skin
Implementation Method 3
The wearable assessment system may include a metabolite detection logical circuit, which may include a metabolite sensor to identify concentrations of target metabolites in the sweat sample. In such embodiments, the metabolite sensor may be an enzymatic sensor.
Implementation Method 4
an electrolyte detection logical circuit, which may include an electrolyte sensor to identify concentrations of target electrolytes in a sweat sample
Data Source
AI summary
Systems and methods for a wearable stress response assessment system may include an iontophoresis module, a multi-inlet microfluidic sweat sampling component, and a sensor patch configured to detect concentrations of electrolytes and metabolites present in a sweat sample and monitor physiological signs prevalent in a human patient. An iontophoresis module may provide for stimulation of a biofluid sample. A biofluid may be a sweat sample. Stimulation may be achieved via electrostimulation and/or application of a stimulating agent. A microfluidic sweat sampling component may include adhesive and PDMS layers with carefully designed inlets and channels for efficient collection and sampling of biofluid. Enzymatic and ISE biosensors may quickly and accurately identify concentrations of key biomarkers present in a biofluid sample which may assess, in combination with monitored physiological signs, a human patient's stress response.