Determination and application of glucose sensor reliability indicator and/or metric

US2017143276A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017143276-A1
Application numberUS-201715422329-A
CountryUS
Kind codeA1
Filing dateFeb 1, 2017
Priority dateOct 28, 2010
Publication dateMay 25, 2017
Grant date

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Abstract

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Disclosed are a system and method for determining a metric and/or indicator of a reliability of a blood glucose sensor in providing glucose measurements. In one aspect, the metric and/or indicator may be computed based, at least in part, on an observed trend associated with signals generated by the blood glucose sensor.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method comprising: determining an indicator of reliability of an analyte sensor comprising a first pair of sensor elements of a first probe and a second pair of sensor elements of a second probe, wherein the indicator of reliability is based, at least in part, on a sensor integrity determination; and generating a sensor glucose signal and a sensor status signal based, at least in part, on the indicator of reliability. 2 . The method of claim 1 , wherein the sensor status signal comprises status signals for each sensor element of the first and second pairs of sensor elements. 3 . The method of claim 1 , wherein the sensor glucose signal is further based, at least in part, on signal values for each sensor element of the first and second pairs of sensor elements. 4 . The method of claim 3 , further comprising weighting the signal values for the first and second pairs of sensor elements. 5 . The method of claim 1 , wherein the sensor integrity determination is based, at least in part, on a trend metric or a noise metric, or a combination thereof. 6 . The method of claim 5 , wherein the trend metric is based, at least in part, on one or more detected non-physiological anomalies. 7 . The method of claim 5 , further comprising basing the sensor integrity determination on a voltage between two or more of the first and second pairs of sensor elements. 8 . The method of claim 5 , wherein the sensor integrity determination is also based, at least in part, on indications of past sensor behavior. 9 . The method of claim 1 , and further comprising transitioning a system from providing closed-loop continuous insulin infusion to a patient from an infusion pump to an open loop or manual operation based, at least in part, on the indicator of reliability. 10 . An apparatus comprising: an analyte sensor to generate signals responsive to a concentration of an analyte in a fluid, the analyte sensor comprising two or more pairs of sensor elements including at least a first pair of sensor elements of a first probe and a second pair of sensor elements of a second probe; one or more processors to: determine an indicator of reliability of the analyte sensor based, at least in part, on a sensor integrity determination; and generate a sensor glucose signal and a sensor status signal based, at least in part, on the indicator of reliability. 11 . The apparatus of claim 10 , wherein the sensor status signal comprises status signals for each sensor element of the first and second pairs of sensor elements. 12 . The apparatus of claim 10 , wherein the sensor glucose signal is also based, at least in part, on signal values for each sensor element of the first and second pairs of sensor elements. 13 . The apparatus of claim 12 , wherein the one or more processors are further configured to weight the signal values for the first and second pairs of sensor elements. 14 . The apparatus of claim 10 , wherein the one or more processors are further configured to determine the sensor integrity based, at least in part, on a trend metric or a noise metric, or a combination thereof. 15 . The apparatus of claim 14 , wherein the trend metric is based, at least in part, on one or more detected non-physiological anomalies. 16 . The apparatus of claim 14 , wherein the one or more processors are further configured to determine the sensor integrity based, at least in part. on a voltage between two or more of the first and second pairs of sensor elements. 17 . The apparatus of claim 14 , wherein the one or more processors are further configured to determine the sensor integrity based, at least in part, on indications of past sensor behavior. 18 . The apparatus of claim 10 , and further comprising an infusion pump, and wherein the one or more processors are further configured to initiate transition of a system from providing closed-loop continuous insulin infusion to a patient from the infusion pump to an open loop or manual operation based, at least in part, on the indicator of reliability. 19 . An apparatus comprising: means for determining an indicator of reliability of an analyte sensor comprising a first pair of sensor elements of a first probe and a second pair of sensor elements of a second probe, wherein the indicator of reliability is based, at least in part, on a sensor integrity determination; and means for generating a sensor glucose signal and a sensor status signal based, at least in part, on the indicator of reliability. 20 . The apparatus of claim 19 , and further comprising means for transitioning a system from providing closed-loop continuous insulin infusion to a patient from an infusion pump to an open loop or manual operation based, at least in part, on the indicator of reliability.

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Classifications

  • in combination with a needle set · CPC title

  • combined with drug delivery · CPC title

  • using feedback of body parameters, e.g. blood-sugar, pressure (measurement of body parameters A61B5/00) · CPC title

  • the body parameters being measured at, or proximate to, the infusion site · CPC title

  • Glucose concentration · CPC title

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What does patent US2017143276A1 cover?
Disclosed are a system and method for determining a metric and/or indicator of a reliability of a blood glucose sensor in providing glucose measurements. In one aspect, the metric and/or indicator may be computed based, at least in part, on an observed trend associated with signals generated by the blood glucose sensor.
Who is the assignee on this patent?
Medtronic Minimed Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/7221. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu May 25 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).