Implantable Glucose Sensor Feedback for Biofouling Compensation
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Solution Overview
Problem
Conventional implantable glucose sensors face challenges in accurately tracking blood glucose levels due to in vivo physiological responses such as 'dip and recover' and biofouling, which lead to transient sensitivity loss and inaccurate data, and existing technologies fail to reliably identify and compensate for these phenomena in real-time.
Innovation Solution
The implementation of a continuous glucose sensor system that includes a processor module to identify and respond to post-implantation transient sensitivity loss by detecting events like cessation of blood flow, vasospastic events, and biofouling, using electrodes and membranes with different configurations to measure and process sensor data, and release bio-active agents to mitigate these issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If implantable sensors are used to continuously detect blood glucose, then real-time monitoring capability is improved, but sensor accuracy deteriorates due to dip and recover phenomenon and biofouling
Solution Approach 1:
The system continuously monitors sensor signal characteristics and compares them against expected patterns to detect dip and recover events and biofouling. When anomalies are detected, the system adjusts or flags the glucose readings accordingly, providing real-time feedback correction to maintain measurement accuracy despite physiological interference
Solution Approach 2:
The system changes the parameters used for glucose calculation based on detected physiological states. When dip and recover is detected, the system modifies how sensor signals are interpreted or temporarily excludes affected readings. Similarly, when biofouling is detected through signal pattern analysis, the system adjusts measurement parameters or applies correction algorithms to compensate for the reduced sensor sensitivity
2Duration of action of stationary object
If implantable sensors are continuously operated, then continuous glucose data is obtained, but sensor sensitivity is reduced due to physiological responses and biofouling over time
Solution Approach 1:
The system performs preliminary detection of dip and recover patterns and biofouling conditions before they completely compromise sensor function. By early detection through continuous analysis of signal characteristics, the system can take corrective actions or flag data quality issues proactively, extending the reliable operational period of the sensor
Solution Approach 2:
The system continuously monitors sensor performance metrics and provides feedback to maintain sensitivity. When biofouling is detected through pattern recognition, the system adjusts measurement parameters or applies correction algorithms in real-time, allowing the sensor to maintain reliable sensitivity throughout its operational duration
3Measurement precision
If multiple sensor configurations are used to detect physiological events, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses a single sensor device that performs multiple functions: detecting glucose levels, monitoring blood flow changes through dip and recover patterns, and identifying biofouling conditions. By making the sensor system universal in its detection capabilities, multiple physiological parameters are monitored without proportionally increasing device complexity
Solution Approach 2:
The system combines detection of multiple physiological phenomena (glucose concentration, blood flow changes, biofouling) into a unified sensor platform. By merging these detection functions into one integrated system rather than separate devices, the overall complexity is reduced while maintaining comprehensive monitoring accuracy
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
The system provides more reliable and accurate real-time blood glucose monitoring by compensating for transient sensitivity loss and biofouling, ensuring prolonged sensor functionality and reducing the need for premature device replacement.
Implementation Method 1
a continuous glucose sensor configured to be implanted in a subcutaneous tissue of a host and to measure a glucose concentration therein, the continuous glucose sensor comprising: at least one electrode operatively connected to electronic circuitry configured to generate a signal representative of a concentration of glucose in a host
Data Source
AI summary
Disclosed herein are devices, systems, and methods for a continuous analyte sensor, such as a continuous glucose sensor. In certain embodiments disclosed herein, various in vivo properties of the sensor's surroundings can be measured. In some embodiments, the measured properties can be used to identify a physiological response or condition in the body. This information can then be used by a patient, doctor, or system to respond appropriately to the identified condition.