Wearable Sensor System for Craving Detection via Physiological Signals
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Solution Overview
Problem
Current wearable sensors are inadequate in detecting stress and cravings that may lead to drug use relapse in individuals recovering from addiction, as they primarily monitor heart rate and activity without providing sufficient measurements for stress detection.
Innovation Solution
A wearable sensor system that uses physiological signals such as three-dimensional body movement, Electro Dermal Response, heart rate, and skin temperature, combined with advanced signal processing and machine learning, to detect stress and cravings, and provides alerts to healthcare providers or individuals when risk thresholds are reached.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If commercially available wearable sensors are used to monitor heart rate and activity, then basic health monitoring is achieved, but detection of stress and cravings is insufficient
Solution Approach 1:
The patent combines multiple sensing modalities (accelerometer, temperature sensor, EDR sensor) into a single wearable device, integrating their functions to achieve comprehensive stress and craving detection while maintaining a unified user interface and data processing system
Solution Approach 2:
The wearable device is designed to perform multiple functions: monitoring heart rate, detecting stress through physiological signals, identifying cravings, and providing intervention alerts, making it a multi-functional health monitoring system that addresses various aspects of addiction recovery
2Reliability
If multiple physiological parameters are monitored to detect stress and cravings, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex detection task into distinct functional modules: acceleration data processing, temperature monitoring, EDR signal analysis, and integrated craving detection algorithms, allowing each module to be optimized independently while contributing to overall system reliability
Solution Approach 2:
The patent introduces an intermediary processing layer that aggregates data from multiple sensors and applies machine learning algorithms to translate complex physiological signals into interpretable craving and stress indicators, reducing the complexity burden on the user interface
3Loss of time
If continuous real-time monitoring is implemented, then early intervention capability is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic sampling of physiological parameters with adaptive intervals, intensifying monitoring when stress indicators are detected and reducing sampling rates during stable periods, thereby enabling timely intervention while conserving battery energy
Solution Approach 2:
The wearable device includes automated alert generation and notification systems that self-activate when craving thresholds are exceeded, eliminating the need for continuous user interaction and reducing the energy cost of manual monitoring and intervention initiation
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
The system effectively monitors and predicts cravings and drug use relapse with high accuracy, enabling early intervention and support through continuous real-time data processing and alerts, with a correlation of 0.89 for accelerometer measurements and 0.92 for average heart rate values in tests.
Implementation Method 1
measuring an individual's physiological signals... three-dimensional body movement... accelerometer measurements
Implementation Method 2
Electro Dermal Response (EDR)... galvanic skin response
Implementation Method 3
skin temperature... temperature data
Data Source
AI summary
A wearable physiological monitoring system comprises commercially available off-the shelf components. With the growth of interrelated systems of computing devices, mechanical and digital machines, objects, animals or people connected by the Internet, there is a significant interest in the use of wearable sensors such as cell watches, and cell phones. These wearable sensors may be used to monitor physiological signals and provide health information. An edge-intelligent Internet based wearable assists in substance-abuse detection by monitoring and interpreting an individual's physiological signals on continuous basis. The wearable device helps in monitoring cravings and substance abuse of the individual and help the healthcare provider to start an early intervention as required. The proposed system is developed as a dedicated substance abuse wearable system. An example of a wearable device is a medical quality wearable which yielded a correlation of 0.89 for accelerometer measurements and 0.92 for average heart rate measurements in tests.