Analyte Sensor Communication Modes for Battery Life Stability
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Solution Overview
Problem
Existing analyte sensors, particularly glucose monitors, face challenges in managing power consumption effectively, leading to inconsistent battery life and potential disruptions in continuous glucose monitoring, which is critical for diabetes management.
Innovation Solution
The implementation of advanced power management systems within analyte sensors, including configurable communication modes, nonvolatile memory for data storage, and rechargeable battery systems with triboelectric, piezoelectric, or RF charging circuits, along with supercapacitors to reduce battery strain during high-load periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication circuitry is continuously active to transmit glucose data, then communication reliability is improved, but battery power is depleted faster
Solution Approach 1:
The system implements periodic communication cycles where the wireless transmitter alternates between active transmission modes and low-power sleep modes. During each cycle, glucose data is transmitted at predetermined intervals rather than continuously, allowing the battery to conserve energy while maintaining necessary communication functionality for diabetes monitoring.
Solution Approach 2:
The communication system dynamically adjusts its operational state based on power availability and communication needs. The transmitter can switch between different communication modes (e.g., continuous, periodic, on-demand) and power levels, optimizing the balance between communication reliability and power consumption in real-time based on system conditions.
2Reliability
If high-power wireless transmission is used to ensure reliable data communication, then communication range and reliability are improved, but battery life is reduced
Solution Approach 1:
The system employs partial action by transmitting data at reduced power levels and lower frequencies than maximum capability. Instead of consistently using high-power transmission, the system uses just enough power to maintain acceptable communication reliability, thereby extending battery life while still fulfilling the monitoring function.
Solution Approach 2:
The communication system dynamically changes transmission parameters including power level, data rate, and frequency based on battery status and communication requirements. When battery charge is high, higher power transmission may be used; when battery is low, the system automatically reduces transmission power and adjusts other parameters to preserve battery life.
3Use of energy by moving object
If power management modes are dynamically switched based on battery charge, then energy efficiency is improved, but system complexity increases
Solution Approach 1:
The power management system operates autonomously, automatically monitoring battery charge levels and switching between power management modes without user intervention. The system self-adjusts communication frequency, transmission power, and processor activity based on real-time battery status, eliminating the need for complex user-configurable settings while maintaining energy efficiency.
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
This approach extends battery life, ensures consistent power availability for analyte monitoring, and optimizes energy usage based on real-time glucose levels and communication performance metrics, thereby enhancing the reliability of wearable glucose monitoring systems.
Implementation Method 1
a rechargeable battery system with triboelectric, piezoelectric, or RF charging circuits
Implementation Method 2
a rechargeable battery system with triboelectric, piezoelectric, or RF charging circuits
Implementation Method 3
supercapacitors to reduce battery strain during high-load periods
Data Source
AI summary
An analyte sensor system may include a first communication circuit configured to transmit a wireless signal in a first communication mode and a second communication mode, and a processor, wherein the processor determines whether a first condition is satisfied, the first condition relating to the sensor signal or to communication by the first communication circuit, and shifts the system to a second communication mode responsive to the first condition being satisfied.