IP Library › Granted Patent US 11,439,304
Granted Patent B2
US 11,439,304 · App. 16/038,737 · Granted Sep 13, 2022

Systems and methods including electrolyte sensor fusion

Inventors: Jeffrey E. Stahmann (Ramsey, MN); Yingbo Li (Shanghai, CN); Michael John Kane (St. Paul, MN)
Assignee: Cardiac Pacemakers, Inc.
A61B5/0006A61B5/1473A61B5/14546A61B5/283A61B5/333A61B5/686G01N27/3273A61B5/0031A61B5/14532A61B5/14539A61B5/7278G01N27/413G01N27/4167
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Quick Facts
Patent No.
US 11,439,304
App. No.
16/038,737
Granted
Sep 13, 2022
Kind
B2
Abstract

Embodiments herein relate to systems and methods for combining data from different types of sensors. In an embodiment, a medical system is included. The medical system can include a first sensor configured to produce a first value for an analyte and a second sensor different than the first sensor, the second sensor configured to produce a second value for the analyte. The medical system can also include a controller configured to receive the first and second values. The controller can create a blended analyte value from the first value and second value. Other embodiments are included herein.

Claims (37)

1. A medical system comprising

a first sensor configured to produce a first value for an analyte, wherein the analyte is an electrolyte;

a second sensor configured to produce a second value for the analyte, wherein the second sensor is a different type of sensor than the first sensor; and

a controller configured to receive the first and second values;

wherein the controller triggers a measurement change of the second sensor based on the first value for the analyte and;

wherein the first sensor and the second sensor are implantable;

wherein the first sensor has a faster response time than the second sensor;

wherein the first sensor is an implantable electrical ECG sensor; and

wherein the second sensor is an implantable diffusion based optical chemical sensor.

2. The medical system of claim 1 , wherein the measurement change is selected from the group consisting of sampling frequency, measurement schedule, measurement intensity, and turning the sensor on or off.

3. The medical system of claim 1 , wherein data from the first sensor is used for trend analysis of data from the second sensor.

4. The medical system of claim 1 , wherein data from the second sensor is used for trend analysis of data from the first sensor.

5. The medical system of claim 1 , wherein the controller creates a blended analyte value from the first value and second value.

6. The medical system of claim 5 , wherein the blended analyte value is created using a method that reduces at least one of sensor offset errors, sensor gain errors and sensor latency.

7. The medical system of claim 1 , wherein the first sensor is faster reacting than the second sensor.

8. The medical system of claim 1 , wherein the faster response time of the first sensor comprises a response time of from 1 second to 5 minutes, and wherein the response time comprises a time until a steady-state level of sensor response is achieved after a change in the intrinsic value being measure.

9. The medical system of claim 1 , wherein the chemical sensor is configured to detect an analyte of interest from the in vivo environment that has diffused into the optical chemical sensor and caused a detectable change in the optical properties of the chemical sensor.

10. A medical system comprising

a first sensor configured to produce a first value for an analyte, wherein the analyte is an electrolyte;

a second sensor configured to produce a second value for the analyte, wherein the second sensor is a different type of sensor than the first sensor; and

a controller configured to receive the first and second values;

wherein the controller triggers a measurement change of the second sensor based on the first value for the analyte;

wherein the measurement change is selected from the group consisting of sampling frequency, measurement schedule, and measurement intensity; and

wherein the first sensor is an implantable electrical ECG sensor and the second sensor is an implantable diffusion based optical chemical sensor; and

wherein the first sensor has a faster response time than the second sensor.

11. The medical system of claim 10 , wherein data from the first sensor is used for trend analysis of data from the second sensor.

12. The medical system of claim 10 , wherein data from the second sensor is used for trend analysis of data from the first sensor.

13. The medical system of claim 10 , wherein the controller creates a blended analyte value from the first value and second value.

14. A medical system comprising

a first sensor configured to produce a first value for an analyte, wherein the analyte is an electrolyte;

a second sensor configured to produce a second value for the analyte, wherein the second sensor is a different type of sensor than the first sensor; and

a controller configured to receive the first and second values;

wherein the controller triggers a measurement change of the second sensor based on the first value for the analyte; and

wherein the first sensor is an implantable electrical ECG sensor and the second sensor is an implantable diffusion based optical chemical sensor; and

wherein the first sensor has a faster response time than the second sensor.

15. The medical system of claim 14 , wherein the controller creates a blended analyte value by using the first value to normalize the second value or by using the second value to normalize the first value.

16. The medical system of claim 15 , wherein the blended analyte value is created using a method that reduces at least one of sensor offset errors, sensor gain errors and sensor latency as compared with values from the first sensor and second sensor standing alone.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 2, 2018
From: STAHMANN, JEFFREY E.; LI, YINGBO; KANE, MICHAEL JOHN
To: CARDIAC PACEMAKERS, INC.
Reel/Frame 046539/0026 →
Priority Claims (1)
CN 201710681567.3 · Aug 10, 2017 · national
Continuity (1)
Related Publication 20190046032A1 · Feb 14, 2019
Cited By (2)
US 12,551,145 US 12,727,793