Multiple Sensors for Biometric Analysis

• US 20170000391A1
• Filed: 07/01/2016
• Published: 01/05/2017
• Est. Priority Date: 07/01/2015
• Status: Abandoned Application

• Current Assignee: Verily Life Sciences LLC (Alphabet Inc.)
• Original Assignee: Verily Life Sciences LLC (Alphabet Inc.)
• Inventors: Wasson, Jaclyn Leverett, Biederman, William James, Otis, Brian, Liu, Zenghe
• Application Number:
  US15/200,998
• Publication Number:
  US 20170000391A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: 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
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6828 Leg
• CPC Class Codes: A61B 5/6846 specially adapted to be brought in contact with an internal body part, i.e. invasive
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Systems and methods are described that relate to a plurality of sensors configured to measure a physiological parameter. Each sensor of the plurality of sensors may be removably attached to an exterior surface of a living body. A controller may be configured to receive sensor data from the plurality of sensors. The sensor data may be indicative of the physiological parameter. The controller may correlate the sensor data to provide correlated data that is indicative of the physiological parameter. Based at least on the correlated data, the controller may determine a health state. The controller may further provide an indication based on the determined health state.

Claims

1. A system comprising:

a plurality of sensors for measuring a physiological parameter, wherein at least one sensor of the plurality of sensors is configured for removable attachment to a respective location on an exterior surface of a living body; and

a controller comprising a memory and a processor, wherein the memory stores instructions that are executable by the processor to cause the controller to perform operations comprising;

receiving, from a first sensor of the plurality of sensors, first sensor data indicative of the physiological parameter;

receiving, from a second sensor of the plurality of sensors, second sensor data indicative of the physiological parameter;

correlating the first sensor data and the second sensor data to provide correlated data, wherein the correlated data is indicative of the physiological parameter;

determining a health state based on the correlated data; and

providing an indication based on the determined health state.

2. The system of claim 1, wherein at least one sensor of the plurality of sensors is configured for removable attachment to the living body via a transdermal patch.

3. The system of claim 2, wherein the transdermal patch comprises at least two sensors of the plurality of sensors.

4. The system of claim 1, wherein the physiological parameter comprises a concentration of an analyte.

5. The system of claim 4, wherein the analyte comprises glucose.

6. The system of claim 5, wherein the health state is a hyperglycemic state or a hypoglycemic state, and wherein the indication comprises a high glucose alert or a low glucose alert.

7. The system of claim 1, wherein the plurality of sensors are configured to communicate with the controller via at least one of:

a near field communication (NFC) link, a BLUETOOTH Low Energy (BLE) link, an ultra high frequency (UHF) radio frequency identification (RFID) link, or a WiFi link.

8. The system of claim 1, wherein correlating the first sensor data and the second sensor data to provide correlated data comprises discounting the first sensor data based on an operational state of the first sensor.

9. A system comprising:

a plurality of sensors, wherein a first sensor of the plurality of sensors is configured for implantation into a living body, wherein the first sensor is configured to detect a first physiological parameter, wherein a second sensor of the plurality of sensors is configured for removable attachment to a respective location on an exterior surface of the living body, wherein the second sensor is configured to detect a second physiological parameter; and

a controller comprising a memory and a processor, wherein the memory stores instructions that are executable by the processor to cause the controller to perform operations comprising;

receiving, from the first sensor, first sensor data indicative of the first physiological parameter;

receiving, from the second sensor, second sensor data indicative of the second physiological parameter;

adjusting the second sensor data based on the first sensor data to provide adjusted data, wherein the adjusted data is indicative of the second physiological parameter;

determining a health state based on the adjusted data; and

providing an indication based on the health state.

10. The system of claim 9, wherein the second sensor is configured for removable attachment to the living body via a transdermal patch.

11. The system of claim 10, wherein the transdermal patch comprises at least two sensors of the plurality of sensors.

12. The system of claim 9, wherein the second physiological parameter comprises a concentration of an analyte.

13. The system of claim 12, wherein the analyte comprises glucose.

14. The system of claim 13, wherein the health state is a hyperglycemic state or a hypoglycemic state, and wherein the indication comprises a high glucose alert or a low glucose alert.

15. The system of claim 9, wherein the plurality of sensors are configured to communicate with the controller via at least one of:

a near field communication (NFC) link, a BLUETOOTH Low Energy (BLE) link, an ultra high frequency (UHF) radio frequency identification (RFID) link, or a WiFi link.

16. The system of claim 12, wherein the first physiological parameter comprises a body temperature.

17. A method comprising:

receiving, from a first sensor of a plurality of sensors, first sensor data indicative of a physiological parameter;

receiving, from a second sensor of the plurality of sensors, second sensor data indicative of the physiological parameter, wherein at least one sensor of the plurality of sensors is removably attached to a respective location on an exterior surface of a living body;

correlating the first sensor data and the second sensor data to provide correlated data, wherein the correlated data is indicative of the physiological parameter;

determining a health state based on the correlated data; and

providing an indication based on the determined health state.

18. The method of claim 17, wherein at least one sensor of the plurality of sensors is removably attached to the living body via a transdermal patch.

19. The method of claim 18, wherein the transdermal patch comprises at least two sensors of the plurality of sensors.

20. The method of claim 17, wherein the physiological parameter comprises a concentration of an analyte.

21. The method of claim 20, wherein the analyte comprises glucose.

22. The method of claim 21, wherein the health state is a hyperglycemic state or a hypoglycemic state, and wherein the indication comprises a high glucose alert or a low glucose alert.

23. The method of claim 17, wherein the plurality of sensors are configured to communicate with the controller via at least one of:

a Near Field Communication (NFC) link, a BLUETOOTH Low Energy (BLE) link, an ultra high frequency (UHF) radio frequency identification (RFID) link, or a WiFi link.