# US 2026/0096751 A1 · Weighted combination of analyte values for multiple sensing areas

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- Number: US 2026/0096751 A1
- Document ID: US20260096751A1
- Status: Published application
- Kind: A1
- Application number: 19/351,694
- Filed: 2025-10-07
- Published: 2026-04-09
- Earliest claimed: 2024-10-07
- Assignees: Senseonics, Incorporated
- Applicants: Senseonics, Incorporated
- Inventors: James Masciotti; Patricia Sanchez; Chad Hicks
- Web page: https://patentgrep.com/patent/US20260096751A1

## CPC

- A61B 5/14546: {for measuring analytes not otherwise provided for, e.g. ions, cytochromes}
- A61B 5/14503: {invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors (A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence)}
- A61B 5/1451: {for interstitial fluid}
- A61B 5/14532: {for measuring glucose, e.g. by tissue impedance measurement}
- A61B 5/14865: {invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors}
- G06F 17/18: for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)}
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

An analyte monitoring system, which includes an analyte sensor, may perform a method including generating first, second, and third sets of one or more analyte values using first, second, and third measurement electronics, respectively, of first, second, and third sensing areas (SAs), respectively, of the analyte sensor. The first, second, and third SAs may be different. The method may include determining a distribution value based on a plurality of sets of analyte values including the first, second, and/or third sets of analyte values, and the distribution value may indicate a distribution of the plurality of sets of analyte values. The method may include determining a combined analyte level based at least on the plurality of sets of analyte values and the distribution value.

## Claims

### Claim 1

A method performed by an analyte monitoring system comprising an analyte sensor, the method comprising:
generating a first set of one or more analyte values using first measurement electronics of a first sensing area (SA) of the analyte sensor;
generating a second set of one or more analyte values using second measurement electronics of a second SA of the analyte sensor, wherein the first and second SAs are different;
generating a third set of one or more analyte values using third measurement electronics of a third SA of the analyte sensor, wherein the first, second, and third SAs are different;
determining a distribution value based on a plurality of sets of analyte values including the first, second, and/or third sets of analyte values, wherein the distribution value indicates a distribution of the plurality of sets of analyte values; and
determining a combined analyte level based at least on the plurality of sets of analyte values and the distribution value.

### Claim 2 (depends on 1)

The analyte monitoring system of claim 1, wherein
the first set of analyte values includes a plurality of analyte values generated for different instances of time using the first measurement electronics of the first SA of the analyte sensor,
the second set of analyte values includes a plurality of analyte values generated for the different instances of time using the second measurement electronics of the second SA of the analyte sensor, and
the third set of analyte values includes a plurality of analyte values generated for the different instances of time using the third measurement electronics of the third SA of the analyte sensor.

### Claim 3 (depends on 1)

The method of claim 1, comprising:
determining whether the first set of analyte values satisfies a condition;
determining whether the second set of analyte values satisfies the condition;
determining whether the third set of analyte values satisfies the condition; and
based on determining that the first and second sets of analyte values do not satisfy the condition and the third set of analyte values satisfies the condition, not selecting the first and second SAs and selecting the third SA, wherein the combined analyte level is determined based on the selection of the third SA.

### Claim 4 (depends on 3)

The method of claim 3, wherein:
the analyte sensor comprises a plurality of SAs including the first, second, and third SAs,
the method comprises generating the plurality of set of analyte values using measurement electronics of the plurality of SAs of the analyte sensor,
determining the distribution value comprises:
calculating a first tendency value representing the third set of analyte values, and
calculating a second tendency value representing the plurality of sets of analyte values, and
whether the third set of analyte values satisfies the condition is determined based at least on the first tendency value, the second tendency value, and the distribution value.

### Claim 5 (depends on 4)

The method of claim 4, wherein:
the first tendency value is one of a mean or a median of the third set of analyte values,
the second tendency value is one of a mean or a median of the plurality of sets of analyte values, and
the distribution value is one of a standard deviation, an interquartile range, or an interdecile range of the plurality of sets of analyte values.

### Claim 6 (depends on 4)

The method of claim 4, wherein determining whether the third set of analyte values satisfies the condition comprises:
calculating a comparative value based on the first tendency value, the second tendency value, and the distribution value;
determining whether the comparative value is greater than a threshold value; and
determining that the third set of analyte values satisfies the condition based on whether the comparative value is greater than the threshold value.

### Claim 7 (depends on 6)

The method of claim 6, wherein the comparative value is calculated as follows:
d
=
C
1
×
T
1
-
C
2
×
T
2
C
3
×
D
2
where d is the comparative value, C1 is a first constant, C2 is a second constant, C3 is a third constant, T1 is the first tendency value, T2 is the second tendency value, and D2 is the distribution value.

### Claim 8 (depends on 3)

The method of claim 3, wherein, if the third set of analyte values is determined to satisfy the condition, the distribution value is determined not based on the third set of analyte values.

### Claim 9 (depends on 1)

The method of claim 1, wherein determining the combined analyte level comprises:
calculating a first SA analyte level for the first SA based on the first set of analyte values;
determining a first weight for the first SA analyte level;
calculating a second SA analyte level for the second SA based on the second set of analyte values;
determining a second weight for the second SA analyte level;
calculating a third SA analyte level for the third SA based on the third set of analyte values; and
determining a third weight for the third SA analyte level;
wherein the combined analyte level is determined based on the first SA analyte level, the first weight, the second SA analyte level, the second weight, the third SA analyte level, and the third weight.

### Claim 10 (depends on 9)

The method of claim 9, wherein:
the first weight is determined based at least on:
the first SA analyte level;
a tendency value representing the plurality of sets of analyte values; and
the distribution value,
the second weight is determined based at least on:
the second SA analyte level;
the tendency value; and
the distribution value, and
the third weight is determined based at least on:
the third SA analyte level;
the tendency value; and
the distribution value.

### Claim 11 (depends on 10)

The method of claim 10, wherein:
the first weight has a negative correlation with a difference between the first SA analyte level and the tendency value increases;
the second weight has a negative correlation with a difference between the second SA analyte level and the tendency value increases; and
the third weight has a negative correlation with a difference between the third SA analyte level and the tendency value increases.

### Claim 12 (depends on 10)

The method of claim 10, wherein:
the tendency value is one of a mean or a median of the plurality of sets of analyte values, and
the distribution value is one of a standard deviation, an interquartile range, or an interdecile range of the plurality of sets of analyte values.

### Claim 13 (depends on 10)

The method of claim 10, wherein;
the
⁢
first
⁢
weight
=
f
⁢
(
C
1
×
AL
SA
⁢
1
-
C
2
×
CT
C
3
×
S
)
,
the
⁢
second
⁢
weight
=
f
⁢
(
C
1
×
AL
SA
⁢
2
-
C
2
×
CT
C
3
×
S
)
,
and
the
⁢
third
⁢
weight
=
f
⁢
(
C
1
×
AL
SA
⁢
3
-
C
2
×
CT
C
3
×
S
)
,
where C1 is a constant, ALSA1 is the first SA analyte level, ALSA2 is the second SA analyte level, ALSA3 is the third SA analyte level, C2 is a constant, CT is the tendency value, C3 is a constant determining how quickly the first, second, and third weights change depending on a difference between an SA analyte level and the tendency value, and S is the distribution value.

### Claim 14

An analyte monitoring system comprising:
an analyte sensor;
a user device, wherein the analyte monitoring system is configured to:
generate a first set of one or more analyte values using first measurement electronics of a first sensing area (SA) of the analyte sensor;
generate a second set of one or more analyte values using second measurement electronics of a second SA of the analyte sensor, wherein the first and second SAs are different;
generate a third set of one or more analyte values using third measurement electronics of a third SA of the analyte sensor, wherein the first, second, and third SAs are different;
determine a distribution value based on a plurality of sets of analyte values including the first, second, and/or third sets of analyte values, wherein the distribution value indicates a distribution of the plurality of sets of analyte values; and
determine a combined analyte level based at least on the plurality of sets of analyte values and the distribution value.

### Claim 15 (depends on 14)

The analyte monitoring system of claim 14, wherein
the first set of analyte values includes a plurality of analyte values generated for different instances of time using the first measurement electronics of the first SA of the analyte sensor,
the second set of analyte values includes a plurality of analyte values generated for the different instances of time using the second measurement electronics of the second SA of the analyte sensor, and
the third set of analyte values includes a plurality of analyte values generated for the different instances of time using the third measurement electronics of the third SA of the analyte sensor.

### Claim 16 (depends on 14)

The analyte monitoring system of claim 14, wherein the analyte monitoring system is configured to:
determine whether the first set of analyte values satisfies a condition;
determine whether the second set of analyte values satisfies the condition;
determine whether the third set of analyte values satisfies the condition; and
based on determining that the first and second sets of analyte values do not satisfy the condition and the third set of analyte values satisfies the condition, not select the first and second SAs and selecting the third SA, wherein the combined analyte level is determined based on the selection of the third SA.

### Claim 17 (depends on 16)

The analyte monitoring system of claim 16, wherein:
the analyte sensor comprises a plurality of SAs including the first, second, and third SAs,
the analyte monitoring system is configured to generate the plurality of set of analyte values using measurement electronics of the plurality of SAs of the analyte sensor,
determining the distribution value comprises:
calculating a first tendency value representing the third set of analyte values, and
calculating a second tendency value representing the plurality of sets of analyte values, and
whether the third set of analyte values satisfies the condition is determined based at least on the first tendency value, the second tendency value, and the distribution value.

### Claim 18 (depends on 17)

The analyte monitoring system of claim 17, wherein:
the first tendency value is one of a mean or a median of the third set of analyte values,
the second tendency value is one of a mean or a median of the plurality of sets of analyte values, and
the distribution value is one of a standard deviation, an interquartile range, or an interdecile range of the plurality of sets of analyte values.

### Claim 19 (depends on 17)

The analyte monitoring system of claim 17, wherein determining whether the third set of analyte values satisfies the condition comprises:
calculating a comparative value based on the first tendency value, the second tendency value, and the distribution value;
determining whether the comparative value is greater than a threshold value; and
determining that the third set of analyte values satisfies the condition based on whether the comparative value is greater than the threshold value.

### Claim 20 (depends on 19)

The analyte monitoring system of claim 19, wherein the comparative value is calculated as follows:
d
=
C
1
×
T
1
-
C
2
×
T
2
C
3
×
D
2
where d is the comparative value, C1 is a first constant, C2 is a second constant, C3 is a third constant, T1 is the first tendency value, T2 is the second tendency value, and D2 is the distribution value.

### Claim 21 (depends on 16)

The analyte monitoring system of claim 16, wherein, if the third set of analyte values is determined to satisfy the condition, the distribution value is determined not based on the third set of analyte values.

### Claim 22 (depends on 14)

The analyte monitoring system of claim 14, wherein determining the combined analyte level comprises:
calculating a first SA analyte level for the first SA based on the first set of analyte values;
determining a first weight for the first SA analyte level;
calculating a second SA analyte level for the second SA based on the second set of analyte values;
determining a second weight for the second SA analyte level;
calculating a third SA analyte level for the third SA based on the third set of analyte values; and
determining a third weight for the third SA analyte level;
wherein the combined analyte level is determined based on the first SA analyte level, the first weight, the second SA analyte level, the second weight, the third SA analyte level, and the third weight.

### Claim 23 (depends on 22)

The analyte monitoring system of claim 22, wherein:
the first weight is determined based at least on:
the first SA analyte level;
a tendency value representing the plurality of sets of analyte values; and
the distribution value,
the second weight is determined based at least on:
the second SA analyte level;
the tendency value; and
the distribution value, and
the third weight is determined based at least on:
the third SA analyte level;
the tendency value; and
the distribution value.

### Claim 24 (depends on 23)

The analyte monitoring system of claim 23, wherein:
the first weight has a negative correlation with a difference between the first SA analyte level and the tendency value increases;
the second weight has a negative correlation with a difference between the second SA analyte level and the tendency value increases; and
the third weight has a negative correlation with a difference between the third SA analyte level and the tendency value increases.

### Claim 25 (depends on 23)

The analyte monitoring system of claim 23, wherein:
the tendency value is one of a mean or a median of the plurality of sets of analyte values, and
the distribution value is one of a standard deviation, an interquartile range, or an interdecile range of the plurality of sets of analyte values.

### Claim 26 (depends on 23)

The analyte monitoring system of claim 23, wherein;
the
⁢
first
⁢
weight
=
f
⁢
(
C
1
×
AL
SA
⁢
1
-
C
2
×
CT
C
3
×
S
)
,
the
⁢
second
⁢
weight
=
f
⁢
(
C
1
×
AL
SA
⁢
2
-
C
2
×
CT
C
3
×
S
)
,
and
the
⁢
third
⁢
weight
=
f
⁢
(
C
1
×
AL
SA
⁢
3
-
C
2
×
CT
C
3
×
S
)
,
where C1 is a constant, ALSA1 is the first SA analyte level, ALSA2 is the second SA analyte level, ALSA3 is the third SA analyte level, C2 is a constant, CT is the tendency value, C3 is a constant determining how quickly the first, second, and third weights change depending on a difference between an SA analyte level and the tendency value, and S is the distribution value.