Edge Wearable Craving Detection With Real-Time Physiological Sensing
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Solution Overview
Problem
Existing wearable devices fail to accurately monitor physiological signals to detect stress and cravings effectively, leading to a high risk of drug relapse in individuals post-treatment, and existing cloud-based systems face data redundancy and processing delays.
Innovation Solution
An edge-intelligent wearable device using physiological sensors, machine learning, and real-time processing to detect stress and cravings by analyzing three-dimensional motion, electrodermal response, and temperature, providing alerts to individuals and caregivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If cloud-based processing is used for wearable device data, then computing capacity and storage are improved, but data traffic increases causing data redundancy and processing delays
Solution Approach 1:
The patent segments the data processing function by dividing it between the wearable device (edge) and the cloud. The wearable device performs local processing of physiological signals using embedded processors, while only essential results or aggregated data are transmitted to the cloud. This segmentation reduces data traffic and processing delays while maintaining adequate computing capacity for time-sensitive craving detection.
Solution Approach 2:
The patent introduces an intermediary layer (edge computing infrastructure) between the wearable sensor and the cloud platform. This intermediary performs preliminary processing, filtering, and aggregation of data locally, reducing the burden on both the wearable device and the cloud system, thereby decreasing data redundancy and processing delays.
2Volume of stationary object
If cloud-based processing is used for wearable device data, then storage capacity is improved, but data traffic increases causing data redundancy
Solution Approach 1:
The patent applies preliminary action by performing data processing, filtering, and aggregation at the edge (wearable device or local server) before data is transmitted to the cloud for long-term storage. This preliminary processing eliminates redundant data locally, so only essential information is transmitted and stored in the cloud, reducing data redundancy while maintaining adequate storage capacity.
3Ease of operation
If known wearable sensors are used, then basic monitoring is achieved, but sufficient measurements for detecting stress likely to cause cravings are not provided
Solution Approach 1:
The patent merges multiple sensor types (accelerometers, gyroscopes, heart rate monitors, temperature sensors) and combines their data streams through integrated processing algorithms. This combination provides comprehensive physiological monitoring that accurately detects stress states and cravings, going beyond basic monitoring capabilities while maintaining ease of operation through unified device operation.
Solution Approach 2:
The patent monitors multiple physiological parameters simultaneously (motion patterns, heart rate variability, skin temperature, electrodermal activity) and analyzes changes in these parameters over time. By tracking parameter changes and their relationships, the system achieves accurate stress and craving detection, transforming basic monitoring data into precise psychological state assessment.
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 smart 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.