Analyte Sensor Data Sync for On-Demand Low-Power Monitoring
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Solution Overview
Problem
Existing analyte monitoring devices lack efficient and user-controlled data communication methods for analyte information, particularly in vivo analyte sensors, which often require unnecessary power consumption and data loss due to unsynchronized user interactions.
Innovation Solution
In vivo analyte sensors with on-body electronics that communicate data on-demand through user-activated display devices, utilizing software algorithms and voice commands, and store data for up to 8 hours before transmission, allowing selective data retrieval and minimizing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous data transmission is implemented in analyte monitoring devices, then real-time analyte information is provided, but power consumption increases and data loss occurs due to unsynchronized user interactions
Solution Approach 1:
The system implements periodic data collection and storage at the sensor, with transmissions occurring only at scheduled intervals when the user activates the display device. This periodic action eliminates continuous power consumption while ensuring data is available for transmission at appropriate times, resolving the contradiction between reliability and power usage.
Solution Approach 2:
Data is collected, validated, and stored in advance at the sensor before transmission is needed. This preliminary action ensures data readiness without requiring continuous communication, reducing power consumption while maintaining data accuracy for when the user actually needs information.
2Reliability
If continuous data transmission is implemented in analyte monitoring devices, then real-time analyte information is provided, but data loss occurs due to unsynchronized user interactions
Solution Approach 1:
Data is collected, validated, and stored in advance at the sensor before transmission is needed. This preliminary action ensures data readiness without requiring continuous communication, reducing power consumption while maintaining data accuracy for when the user actually needs information.
Solution Approach 2:
The system includes synchronization mechanisms where the display device and sensor exchange timing information to coordinate data requests and transmissions. This feedback loop prevents data loss by ensuring the sensor knows when data is needed and transmits at the appropriate moment.
3Use of energy by moving object
If data is stored for extended periods before transmission, then power consumption is reduced, but data synchronization complexity increases
Solution Approach 1:
The sensor autonomously manages data storage, validation, and transmission scheduling without requiring complex external coordination. This self-service approach simplifies the overall system by embedding the synchronization logic within the sensor itself, reducing power consumption while managing complexity through decentralized intelligence.
Data Source
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AI summary
Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.