Continuous Analyte Monitoring Alert-State Backfilling After Signal Loss

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Solution Overview

Problem

Conventional analyte monitoring systems experience reduced accuracy and alert fatigue due to signal loss events, leading to delayed or redundant alerts, which can negatively impact patient health and trust in the monitoring system.

Innovation Solution

Implementing retrospective analysis of cached backfill data at the analyte sensor system to update the current alert state and associated conditions after a signal loss event, ensuring accurate alert generation and reducing unnecessary processing burdens.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If the monitoring system continues to collect analyte data during signal loss events, then data availability is improved, but processing burden and potential alert accuracy issues worsen

Engineering Contradiction:

Improveanalyte data availabilityVSAvoidprocessing burden

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The analyte sensor system performs preliminary actions by collecting and caching analyte data locally during signal loss events before reconnection occurs. This preliminary data collection ensures data availability without requiring real-time processing during the signal loss period, thereby reducing the processing burden on the monitoring system while maintaining continuous data availability.

Inventive Principle:

Principle #10Preliminary action

2Loss of time

If alerts are generated based on cached backfill data after signal loss, then alert timeliness is improved, but alert accuracy may worsen due to incomplete data

Engineering Contradiction:

Improvealert delayVSAvoidalert accuracy

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The monitoring system implements feedback by comparing alerts generated from cached backfill data with subsequent analyte data received after reconnection. This feedback mechanism allows the system to verify and potentially correct alert accuracy by validating against complete data sets, thereby maintaining alert timeliness while improving accuracy through iterative verification.

Inventive Principle:

Principle #23Feedback

3Loss of information

If the system processes all cached backfill data upon reconnection, then data completeness is improved, but processing time and energy consumption worsen

Engineering Contradiction:

Improvedata completenessVSAvoidprocessing energy

Core Design Contradiction:

Loss of informationVSUse of energy by stationary object

Solution Approach 1:

The system extracts and processes only the critical portions of cached backfill data that are necessary for maintaining alert accuracy, rather than processing all cached data. This selective extraction approach ensures data completeness for essential alert-related information while significantly reducing the processing time and energy consumption associated with handling complete data sets.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20250339106A1Systems and methods for ensuring an accuracy of an analyte device by performing alert state backfilling

Publication Date: 2025.11.06 DEXCOM INC

AI summary

The present disclosure provides systems, methods, and devices for recovery and/or adjustment of an alert state of a continuous analyte monitoring system following signal loss events associated with wireless connections between an analyte sensor system and a display device. Certain embodiments of the present disclosure describe a continuous analyte monitoring system that may retrospectively analyze cached backfill data and update a current alert state and associated conditions and/or settings on a display device after a signal loss event according to one or modes of operation.