Wearable Sensor System for Medication Adherence Verification
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Solution Overview
Problem
Current methods for determining medication adherence are cumbersome and often inaccurate, particularly relying on self-reporting, which can lead to inefficiencies and inaccuracies in ensuring prescription medication compliance.
Innovation Solution
Wearable electronic devices equipped with chemical marker sensors, verification sensors, and additional biometric sensors that analyze sweat vapor to detect markers of therapeutic agents and their effects on the user, calculating a confidence level of medication adherence through a combination of sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If self-reporting methods are used to determine medication adherence, then the method is simple to implement, but the accuracy and reliability of medication adherence determination deteriorates
Solution Approach 1:
The patent replaces self-reporting mechanisms with objective sensor-based detection systems. Chemical sensors detect markers in sweat vapor, verification sensors confirm skin contact, and biometric sensors verify physiological responses, collectively substituting subjective self-reporting with objective automated measurement to resolve the accuracy-reliability contradiction
Solution Approach 2:
The patent introduces sweat vapor as an intermediary medium to carry chemical markers from the therapeutic agent. The sweat vapor acts as a carrier that bridges the gap between the medication taken by the user and the detection system, enabling indirect but accurate measurement of medication adherence without requiring direct self-reporting
2Measurement precision
If multiple sensors are used to detect medication adherence, then the measurement precision and reliability improve, but the device complexity increases
Solution Approach 1:
The patent divides the detection system into functionally independent sensor modules: chemical marker sensors for detecting medication markers, verification sensors for confirming skin contact, and biometric sensors for verifying physiological effects. This segmentation allows each sensor to perform its specific function with optimized complexity while contributing to overall system reliability
Solution Approach 2:
The patent combines multiple sensor types (chemical, verification, biometric) into an integrated wearable device that processes all sensor inputs through a single processor to generate a unified confidence level. This merging approach consolidates the complexity of multiple sensors into a coordinated system that achieves high measurement precision through synergistic sensor data
3Reliability
If objective sensor-based detection is used instead of self-reporting, then the reliability of medication adherence determination improves, but the ease of operation deteriorates
Solution Approach 1:
The wearable device performs self-service by automatically detecting medication adherence through its sensor system without requiring user intervention. The device autonomously collects data from chemical markers, verification sensors, and biometric sensors, processes the information, and generates confidence levels without needing the user to actively participate in the measurement process
4Adaptability or versatility
If multiple types of sensors are integrated into a single device, then the versatility and comprehensive monitoring capability improve, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent designs a universal wearable device platform that can accommodate multiple sensor types (chemical, verification, biometric) within a single integrated system. The device serves multiple functions including medication adherence detection, counterfeit identification, and physiological monitoring, making it a multi-functional platform that can be manufactured as a unified product
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
Provides a more accurate and user-friendly method to monitor medication adherence by detecting chemical markers in sweat vapor and correlating them with expected therapeutic effects, enhancing compliance monitoring and preventing counterfeit medication use.
Implementation Method 1
analyze perspiration in the form of sweat vapor of a user to determine concentration of one or more marker chemicals
Implementation Method 2
The verification sensor is configured to detect whether the system is less than a threshold distance from skin
Implementation Method 3
The ECG sensor is configured to detect a manifestation of an expected effect of the therapeutic agent on the user
Data Source
AI summary
A system includes chemical marker, verification, and third sensors. The chemical marker sensor is configured to detect one or more markers of a therapeutic agent in sweat vapor. The verification sensor is configured to detect whether the system is less than a threshold distance from skin. The third sensor is configured to detect a manifestation of an expected effect of the therapeutic agent on the heart rate of the user. The processor is communicatively coupled to the sensors and is configured to calculate a confidence level indicative of whether the user has taken the therapeutic agent based on the chemical marker sensor detecting the one or more markers in the sweat vapor, the verification sensor detecting that the system is less than the threshold distance from skin, and the third sensor detecting the manifestation of the expected effect of the therapeutic agent on the heart rate of the user.