Optimizing Power Use in Glucose Monitoring Devices
11 patents in this list
Updated:
Continuous glucose monitoring (CGM) devices operate under strict power constraints, typically drawing from small batteries that must sustain reliable operation for 7-14 days. These devices need to maintain precise sensor readings, process data, and transmit measurements—operations that collectively consume 0.5-2mA during active periods, while staying within the capacity limits of compact batteries rated at 250-300mAh.
The fundamental challenge lies in balancing measurement accuracy and transmission reliability against the need to extend device lifetime within a confined power budget.
This page brings together solutions from recent research—including adaptive power management based on battery conditions, selective component disabling during transmission windows, self-powered sensor architectures, and intelligent data scheduling systems. These and other approaches help create practical solutions for extending sensor lifetime while maintaining measurement integrity.
1. Wearable Analyte Sensor System with Adaptive Battery Management and Predictive Life Estimation
Dexcom, Inc., 2023
Analyte sensor system worn by a user that monitors battery life and extends battery usage. The system measures battery power level and predicts remaining life based on usage assumptions. It then adjusts sensor operations like data transmission if the battery is low. This prolongs sensor system operation by skipping transmissions when the battery is low instead of draining it further.
2. Biometric Data Transmission System with Interval-Based Non-Receipt Check and Selective Data Request Mechanism
I-SENS, INC., 2023
Transmitting and receiving biometric information between a sensor and a device in a continuous monitoring system reduces the load of determining whether biometric information was received at every regular interval. Instead, it checks for unreceived data only at longer non-receipt intervals and selectively requests missing data if needed. This reduces processing and energy waste compared to constant checking.
3. Unitary Device Housing Integrated Glucose Meter and Mobile Interface
Tula Health, Inc., 2023
Integrated glucose monitoring system that combines a glucose meter, mobile device, and housing into a single unitary device for convenient and less invasive glucose monitoring. The integrated system eliminates the need for separate glucose meters and mobile devices. The housing surrounds both devices, providing easy access and management of supplies. The integrated system reduces discomfort, the spread of disease, and the burden of managing separate devices.
4. Medical Device with Component Deactivation Based on Battery Conditions and Data Transmission Phases
Abbott Diabetes Care Inc., 2022
Selectively disabling components of a medical device like a continuous glucose monitor during data transmission to reduce noise and improve signal quality. The device determines the battery temperature and charge level and disables components when thresholds are reached to prevent issues like desensitization or corruption. It also selectively disables components during data reception windows to reduce noise. This allows enhanced and more accurate signal transmission and reception.
5. Body-Attachable Glucose Monitoring Device with Touch and Light-Activated Connection Control Unit
I-SENS, INC., 2022
Body attachable glucose monitoring device that can be easily powered on and operated using light or touch commands instead of physical buttons. The device has a housing, sensor, PCB, battery, and connection control unit. The connection control unit generates a connection signal to electrically connect the battery and PCB based on user input from a touch panel or optical receiver. This allows powering the device before and after attachment without physical buttons. A blocking film covers the input to prevent accidental activation.
6. Device Power State Management Using External Stimuli and Adaptive Wireless Communication
ABBOTT DIABETES CARE INC., 2022
Efficiently changing the power state of devices like glucose sensors to reduce energy consumption while maintaining functionality. The techniques involve using external stimuli like light or magnetic fields to activate the device without powering on the entire circuitry. This allows activating the device before attaching it to the body. Wireless communications can also be used to adaptively change the power mode by monitoring the device and increasing the communication power until enough is supplied to transition to a higher power mode.
7. Multi-Analyte Continuous Monitoring System with Single Subcutaneous Probe for Glucose and Additional Analytes
PercuSense, Inc., 2022
A minimally invasive multi-analyte continuous glucose monitoring (MCGM) system that enables automated insulin delivery for diabetes management. The system uses a single probe inserted under the skin to continuously monitor glucose and at least one other analyte like lactate or ketones. Integrating multiple signals from the same probe reduces the burden compared to multiple sensor insertions. The combined biochemical and physical data allows automated insulin delivery algorithms to refine personalized treatment and anticipate glucose changes based on context like meals, exercise, stress, and sleep.
8. Data Transmission System with NFC Wake-Up and Power-Saving Modes for Continuous Glucose Monitors
DexCom, Inc., 2022
System for transmitting data from a continuous glucose monitor to a display device with power-saving features. The monitor and display communicate using a two-way channel. The monitor can be woken up from low-power sleep by the display using NFC. This reduces power compared to continuous transmission. The monitor can also detect excess current during sleep to determine if it's awake. The display can also request a transmission pause mode. The monitor can provide a reduced power state during this time. The display can also request adjustments to sensor data based on leakage current.
9. Glucose Sensor with Integrated Capacitor and Magnetically-Activated Power Latching Mechanism
Abbott Diabetes Care Inc., 2022
Self-powered glucose sensor that does not require a separate battery. The sensor has an integrated circuit with a capacitor to store charge from the sensor's electrical signals. When a nearby device with a strong magnetic field passes, it latches a switch to connect the capacitor to the circuit components. This provides power to process the stored sensor signals and transmit glucose levels using RFID. The sensor and electronics are sealed in a sterilizable housing.
10. Implantable Analyte Sensor with Internal Charge Storage and Inductive Wireless Communication System
Senseonics, Incorporated, 2021
Implantable sensor for continuous monitoring of analytes in body fluids like blood, saliva, etc. The sensor has an internal power source (charge storage device) and an inductive element for wireless communication. It can take measurements when not near an external power source by using internal power. When near the external device, it wirelessly transmits stored measurements. A scheduler issues autonomous measurement commands based on an internal clock to periodically measure when not near the external device. This allows continuous monitoring without relying solely on external power.
11. Handheld Diabetes Management Device with Separate Processors for Data Collection and User Interface Modules
Roche Diabetes Care, Inc., 2020
A handheld diabetes management device that separates the power consumption of the communications module from the user interface module to optimize battery life. The device has a separate processor for collecting and storing continuous glucose monitoring (CGM) data from a CGM device, and a separate processor for displaying the CGM data to the user. The CGM data collection processor operates at a lower power rate than the user interface processor to save battery. This allows asynchronous data collection and reporting to reduce power consumption.
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For CGM devices to last longer on batteries, provide a better user experience, and allow for smaller device designs, power consumption optimization is essential. Researchers and developers can greatly improve the functionality and performance of CGM devices by putting approaches like effective data management, component optimization, and creative power sources into practice.