Wearable Patch Replacement Timing via Sweat Parameter Monitoring
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Solution Overview
Problem
Current wearable patches in clinical settings are often replaced prematurely due to factors like skin irritation, adhesive weakening, reagent depletion, and battery corrosion, leading to sub-optimal replacement timing that can result in unnecessary replacements or critical failures.
Innovation Solution
A wearable patch system equipped with sensors to measure sweat parameters such as volume, pH, sodium, potassium, and chloride levels, which a controller uses to determine the optimal replacement time by comparing these parameters to thresholds, providing an indication for replacement based on the total exposure time and value thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patches are replaced on a fixed schedule, then monitoring continuity is maintained, but well-functioning patches are unnecessarily replaced which increases time consumption and cost
Solution Approach 1:
The system performs preliminary assessment of patch condition through sweat parameter monitoring before replacement is actually needed. By tracking cumulative sweat exposure and comparing it to threshold values, the system predicts when a patch will fail and schedules replacement just before that point, avoiding both premature and delayed replacement.
Solution Approach 2:
The system continuously monitors sweat parameters (volume, pH, sodium, potassium, chloride) and provides feedback on patch condition. This feedback loop allows dynamic adjustment of replacement timing based on actual patch degradation rather than fixed schedules, optimizing both reliability and resource utilization.
2Loss of time
If patches are replaced on an ad hoc basis when they fail, then replacement time is reduced, but patch failure may occur at critical moments compromising patient safety
Solution Approach 1:
The system performs preliminary assessment of patch condition through sweat parameter monitoring before replacement is actually needed. By tracking cumulative sweat exposure and comparing it to threshold values, the system predicts when a patch will fail and schedules replacement just before that point, avoiding both premature and delayed replacement.
Solution Approach 2:
The system creates a safety buffer by monitoring multiple sweat parameters and using cumulative exposure assessment. This allows prediction of patch failure with sufficient lead time, cushioning against unexpected failures at critical moments while avoiding unnecessary early replacements.
3Reliability
If overall exposure to sweat is used as an end of life indicator, then replacement timing is improved, but patches are replaced significantly earlier than necessary
Solution Approach 1:
The system moves from using a single parameter (overall sweat exposure) to monitoring multiple sweat parameters simultaneously (volume, pH, sodium, potassium, chloride). By assessing the combined effect of these parameters through cumulative exposure assessment, the system achieves more accurate prediction of actual patch failure points, extending patch lifetime while maintaining reliability.
Solution Approach 2:
The system combines multiple sweat parameter measurements into a composite assessment of patch condition. Rather than relying on any single parameter, the integrated evaluation of volume, pH, and electrolyte concentrations provides a more accurate indicator of when the patch will actually fail, preventing premature replacement.
4Measurement precision
If multiple sweat parameters are monitored, then replacement timing precision is improved, but device complexity increases
Solution Approach 1:
The system uses a multi-functional sensor array that monitors multiple sweat parameters (volume, pH, sodium, potassium, chloride) simultaneously. These same sensors serve dual purposes: detecting patch degradation conditions and providing data for cumulative exposure assessment, thereby improving measurement precision without proportionally increasing complexity.
Solution Approach 2:
The system divides the monitoring function into separate specialized sensors for different sweat parameters (volume sensors, pH sensors, electrolyte sensors). This segmentation allows each sensor to be optimized for its specific function while the controller integrates their outputs, achieving high measurement precision through modular design rather than a single complex sensor.
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 system allows for more precise timing of patch replacements, avoiding unnecessary early replacements and ensuring continuous monitoring by determining the optimal replacement window based on multiple sweat parameters, thus improving patient safety and reducing costs.
Implementation Method 1
measure sweat parameters such as volume, pH, sodium, potassium, and chloride levels
Data Source
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AI summary
A wearable patch system comprises a sensor (14) for measuring at least one sweat parameter, and a controller (16) for indicating the need to replace the patch. The controller is configured to receive the at least one sweat parameter and compare the at least one sweat parameter to a first threshold. The controller is also configured to determine the replacement information based on the total amount of time during which the at least one sweat parameter exceeds the first threshold; and/or a value indicative of the at least one sweat parameter in respect of the total amount of time during which the at least one sweat parameter exceeds the first threshold. The controller is further configured to output an indication that the wearable patch needs (12) replacing based on the replacement information.