Electronic Apparatus for Follower-Based Glucose Alert Coordination
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Solution Overview
Problem
Existing continuous glucose monitoring systems (CGMS) do not effectively notify followers, such as guardians or medical personnel, about abnormal glucose levels of users, posing a risk if the user does not recognize the alerts promptly.
Innovation Solution
An electronic apparatus that receives glucose concentration data from a user's analyte monitoring device and sets alert conditions based on input from followers, transmitting alerts to their devices when predefined conditions are met, allowing for varied alert characteristics and priority-based notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alert notifications are provided only to the user, then the system complexity remains low, but the reliability of glucose monitoring decreases because the user may not recognize alerts promptly
Solution Approach 1:
The patent introduces a server as an intermediary component that receives alert conditions from followers, manages glucose data from the CGM device, and coordinates notification delivery. This mediator architecture enables multi-user alert distribution without requiring direct peer-to-peer communication between devices, thus improving reliability while maintaining manageable system complexity.
Solution Approach 2:
The notification system is segmented into distinct functional modules: the CGM device for glucose sensing, the server for data management and condition evaluation, and follower devices for alert delivery. This segmentation allows each component to perform its specialized function independently, improving overall system reliability while making the complex notification process manageable through modular design.
2Measurement precision
If multiple alert conditions are monitored with customized thresholds, then the measurement precision of glucose monitoring improves, but the device complexity increases due to multiple parameters and conditions
Solution Approach 1:
The system enables followers to self-configure their own alert conditions, thresholds, and notification preferences through the server interface. This self-service approach allows customized precision monitoring for each user without requiring complex centralized configuration management, as each follower independently manages their own alert parameters.
Solution Approach 2:
The system dynamically adjusts and monitors multiple glucose parameters including concentration thresholds, rate of change thresholds, and directional changes (rising/falling). By implementing flexible parameter management where thresholds can be customized per follower and per condition type, the system achieves high measurement precision while managing complexity through parameterized configurations rather than hard-coded rules.
3Speed
If real-time glucose monitoring is implemented with immediate alerts, then the speed of response to glucose abnormalities improves, but the energy consumption increases due to continuous monitoring and notification processes
Solution Approach 1:
The CGM device performs glucose measurements at periodic intervals rather than continuously, with the sensor taking readings every few minutes. This periodic sampling approach maintains real-time monitoring capability and fast alert response speed while significantly reducing energy consumption compared to continuous monitoring, as the device can enter low-power states between measurement cycles.
Solution Approach 2:
The system implements feedback mechanisms where the server evaluates glucose readings against alert conditions and only triggers notifications when conditions are met. This feedback-driven approach allows the system to maintain fast response speed by immediately notifying followers when abnormalities occur, while conserving energy by avoiding unnecessary processing and communication during normal glucose levels.
Data Source
AI summary
A method performed by an electronic apparatus is disclosed. The method comprises receiving information about a user's glucose concentration from an analyte monitoring device attached to the user's body, receiving an alert condition set by a follower of the user at the follower's device, determining whether the alert condition is satisfied based on the information about the user's glucose concentration, and controlling the follower's device to output an alert when the alert condition is satisfied.