Implantable Sensor Calibration Using Past Sensitivity Feedback
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Solution Overview
Problem
Conventional methods for calculating calibration sensitivity of sensors inserted into the body suffer from errors due to variations in sensor sensitivity over time and inaccuracies from reference biometric value errors, leading to unreliable biometric value monitoring in diabetic patients.
Innovation Solution
A method that stores past sensitivities and calculates calibration sensitivity using both current and past sensitivities, with additional reference biometric value validation within an allowable range, to accurately calibrate biometric values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration sensitivity is calculated using only current sensitivity and reference biometric value, then the calculation process is simple, but measurement precision deteriorates due to sensor sensitivity variations over time and reference value errors
Solution Approach 1:
The system performs preliminary actions by storing past sensitivity values and validating reference biometric values before calculating calibration sensitivity. This advance preparation allows the system to account for historical sensor behavior and potential errors in reference measurements, thereby improving calibration accuracy without adding complex real-time calculations during the actual measurement process.
Solution Approach 2:
The system implements feedback by using past sensitivity values and validated reference biometric values to calculate calibration sensitivity. This feedback mechanism allows the system to continuously improve its calibration accuracy by incorporating historical data and correcting for reference value errors, transforming a simple one-time calculation into an iterative process that adapts to sensor drift and measurement variations.
2Reliability
If reference biometric value is used without validation, then the calculation process is fast, but reliability deteriorates when reference value deviates from normal range or contains errors
Solution Approach 1:
The system performs preliminary validation of the reference biometric value against predetermined ranges before using it in calibration sensitivity calculations. This advance checking prevents erroneous or out-of-range reference values from compromising the reliability of calibration results, while the validation logic is structured to minimize time overhead by performing checks only when necessary.
Solution Approach 2:
The system converts the potential harm of reference value errors or deviations into a benefit by implementing validation mechanisms that detect and correct such errors. Instead of allowing erroneous reference values to propagate through calculations and compromise reliability, the validation process identifies these issues and either corrects them or triggers alternative calibration procedures, thereby improving overall system reliability.
3Adaptability or versatility
If sensor sensitivity varies over time, then the sensor adapts to different physiological conditions, but measurement precision deteriorates due to uncorrected sensitivity drift
Solution Approach 1:
The system implements feedback by continuously monitoring sensor responses and using past sensitivity values to calculate updated calibration sensitivities. This feedback mechanism allows the system to detect and compensate for sensor drift and physiological variations, maintaining measurement precision while preserving the sensor's ability to adapt to changing conditions through iterative calibration.
Solution Approach 2:
The system manages parameter changes by dynamically adjusting calibration sensitivity values based on past sensor behavior and current measurements. Instead of attempting to fix sensor drift, the system adapts to parameter changes by updating calibration parameters, allowing the sensor to maintain measurement precision despite varying physiological conditions and sensor characteristics over time.
Data Source
AI summary
The present disclosure relates to a method for calculating the calibration sensitivity of a sensor for insertion into the body and, more particularly, to a method for calculating calibration sensitivity, wherein a biometric value of a user can be accurately calibrated by overcoming an error in a biometric value measured through a sensor for insertion into the body, or an error in a reference biometric value measured through a biometric information measurement device, by storing past sensitivities and using at least one of the past sensitivities and a currently calculated sensitivity to calculate a calibration sensitivity of the sensor for insertion into the body, and the calibration sensitivity of the sensor for insertion into the body can be accurately calculated, even if there is an error in the reference biometric value or the reference biometric value temporarily deviates from the range of normal biometric values of the user, by determining whether the reference biometric value used to calculate the calibration sensitivity is within an allowable range.