Sensor measurement value calibration using sensor calibration data and a performance model
US-11938303-B2 · Mar 26, 2024 · US
US12453816B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12453816-B2 |
| Application number | US-202318132321-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 7, 2023 |
| Priority date | Sep 12, 2019 |
| Publication date | Oct 28, 2025 |
| Grant date | Oct 28, 2025 |
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Medical devices and related systems and methods are provided. A method of controlling medication delivery based on sensor input involves obtaining a measurement parameter representing an electrical response of a first instance of a sensing element to a physiological condition of a person. The measurement parameter is converted into a calibrated measurement parameter using calibration data specific to the first instance of the sensing element. The method further involves determining a measurement value using the calibrated measurement parameter as input to a performance model. The performance model is derived from historical calibrated measurement parameters and corresponding reference values. The historical calibrated measurement parameters are from other instances of the sensing element. A command is then determined based on the measurement value and sent to a medical device. The command causes the medical device to deliver a dose of medication influencing the physiological condition of the person.
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What is claimed is: 1. A system comprising: one or more processors; and memory storing instructions which, when executed by the one or more processors, cause performance of: obtaining a measurement parameter representing an electrical response of a first instance of a sensing element to a physiological condition of a person; converting the measurement parameter into a calibrated measurement parameter using calibration data specific to the first instance of the sensing element, wherein the calibration data is based on a fabrication process measurement performed with respect to a location of the first instance of the sensing element on a substrate; determining a measurement value using the calibrated measurement parameter as input to a performance model, wherein the performance model is derived from historical calibrated measurement parameters and corresponding reference values, and wherein the historical calibrated measurement parameters are from other instances of the sensing element; and sending a command to a medical device based on the measurement value, the command configured to cause the medical device to deliver a dose of medication influencing the physiological condition of the person. 2. The system of claim 1 , wherein the measurement parameter is indicative of an interstitial glucose level of the person, and wherein the measurement value represents an estimate of the interstitial glucose level. 3. The system of claim 2 , wherein the reference values comprise blood glucose measurements. 4. The system of claim 1 , wherein: the historical calibrated measurement parameters correspond to measurements from a group of patients; the performance model is derived from relationships between the historical calibrated measurement parameters, the reference values, and personal data characterizing individual patients; and the performance model is configured to map a dataset to the measurement value, the dataset comprising the calibrated measurement parameter in combination with personal data characterizing the person. 5. The system of claim 4 , wherein personal data includes at least one of age, gender, height, weight, body mass index, or demographic data. 6. The system of claim 1 , wherein: the calibration data specific to the first instance of the sensing element was generated prior to obtaining the measurement parameter, using a calibration model associated with the sensing element; the historical calibrated measurement parameters are based on additional calibration data specific to the other instances of the sensing element; and the additional calibration data was also generated using the calibration model. 7. The system of claim 1 , wherein the fabrication process measurement was performed when the first instance of the sensing element was fabricated. 8. The system of claim 7 , wherein the first instance of the sensing element was fabricated on the substrate together with a second instance of the sensing element. 9. The system of claim 1 , wherein the memory and the one or more processors are components of an electronic device having the first instance of the sensing element. 10. The system of claim 9 , wherein the memory comprises a data storage element storing the calibration data specific to the first instance of the sensing element. 11. The system of claim 10 , wherein the memory also stores the performance model. 12. A method of controlling medication delivery based on sensor input, the method comprising: obtaining, by an electronic device, a measurement parameter representing an electrical response of a first instance of a sensing element to a physiological condition of a person; converting, by one or more processors of the electronic device, the measurement parameter into a calibrated measurement parameter using calibration data specific to the first instance of the sensing element, wherein the calibration data is based on a fabrication process measurement performed with respect to a location of the first instance of the sensing element on a substrate; determining, by the one or more processors, a measurement value using the calibrated measurement parameter as input to a performance model, wherein the performance model is derived from historical calibrated measurement parameters and corresponding reference values, and wherein the historical calibrated measurement parameters are from other instances of the sensing element; and sending a command to a medical device based on the measurement value, the command configured to cause the medical device to deliver a dose of medication influencing the physiological condition of the person. 13. The method of claim 12 , wherein the measurement parameter is indicative of an interstitial glucose level of the person, and wherein the measurement value represents an estimate of the interstitial glucose level. 14. The method of claim 13 , wherein the reference values comprise blood glucose measurements. 15. The method of claim 12 , wherein: the historical calibrated measurement parameters correspond to measurements from a group of patients; the performance model is derived from relationships between the historical calibrated measurement parameters, the reference values, and personal data characterizing individual patients; and the performance model is configured to map a dataset to the measurement value, the dataset comprising the calibrated measurement parameter in combination with personal data characterizing the person. 16. The method of claim 15 , wherein personal data includes at least one of age, gender, height, weight, body mass index, or demographic data. 17. The method of claim 12 , wherein: the calibration data specific to the first instance of the sensing element was generated prior to obtaining the measurement parameter, using a calibration model associated with the sensing element; the historical calibrated measurement parameters are based on additional calibration data specific to the other instances of the sensing element; and the additional calibration data was also generated using the calibration model. 18. The method of claim 12 , wherein the fabrication process measurement was performed when the first instance of the sensing element was fabricated. 19. The method of claim 18 , wherein the first instance of the sensing element was fabricated on the substrate together with a second instance of the sensing element. 20. The method of claim 12 , wherein the calibration data specific to the first instance of the sensing element is stored in a memory of the electronic device.
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