Information processing method

• US 9,965,583 B2
• Filed: 09/24/2013
• Issued: 05/08/2018
• Est. Priority Date: 09/25/2012
• Status: Active Grant

• Current Assignee: Verily Life Sciences LLC (Alphabet Inc.)
• Original Assignee: Verily Life Sciences LLC (Alphabet Inc.)
• Inventors: Saeedi, Ehsan, Amirparviz, Babak
• Primary Examiner(s): Jackson, Gary
• Assistant Examiner(s): JIAN, SHIRLEY XUEYING
• Application Number:
  US14/035,413
• Publication Number:
  US 20140088881A1
• Time in Patent Office: 1,687 Days
• Field of Search: 600300-301, 705 2- 3
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• 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 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/1477 non-invasive
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6821 Eye
• CPC Class Codes: G01K 13/20 Clinical contact thermometers for use with humans or animals
• CPC Class Codes: G02C 7/04 Contact lenses for the eyes disinfection or sterilisation of contact lenses A61L12/00
• CPC Class Codes: G16B 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Systems, apparatus and methods including a contact lens that facilitates collection and/or processing of information associated with sensed features are provided. In one aspect, a system can include a contact lens and an analysis component external to the contact lens. The contact lens can include: a substrate; and a circuit, disposed on or within the substrate. The circuit can include: a plurality of sensors configured to sense respective features associated with a wearer of the contact lens; and a communication component configured to communicate information indicative of sensed features. The analysis component can be configured to: receive the information indicative of the sensed features; and generate statistical information based, at least, on the information indicative of the sensed features.

Claims

1. A contact lens, comprising:

a substrate;

a circuit comprising;

a glucose sensor configured to sense glucose features associated with a wearer of the contact lens, wherein the sensor is configured to be powered by a portable radio frequency (RF) device external to the contact lens;

a microprocessor configured to determine glucose information based, at least in part, on the sensed glucose features;

a memory configured to store the glucose information;

an analysis component configured to generate statistical information based, at least, on sensed glucose features, wherein the statistical information comprises information associated with a recommendation; and

a communication component configured to transmit, to the RF device, at least, one of;

glucose information or the recommendation.

2. The contact lens of claim 1, wherein the recommendation comprises information indicative of a service adapted to provide dietary options or healthcare to the wearer of the contact lens, wherein the recommendation is based, at least, on the glucose information.

3. A method, comprising:

receiving power, at a plurality of sensors on a contact lens, from a device external to the contact lens;

sensing, via the plurality of sensors, a respective plurality of features associated with a wearer of the contact lens; and

receiving, by an analysis component on the contact lens, information indicative of sensed features and general health information of the wearer of the contact lens;

wherein the analysis component comprises a microprocessor and a memory storing computer-executable instructions for execution by the microprocessor, and can;

perform statistical analysis, based, at least in part, on a regression analysis of the information indicative of sensed features and the general health information of the wearer of the contact lens, wherein the statistical analysis is performed at a frequency;

predict a future health condition of the wearer of the contact lens based, at least in part, on the regression analysis; and

update the frequency at which subsequent statistical analysis is performed, wherein the frequency is updated based, at least in part, on a previously-performed statistical analysis, and the subsequent statistical analysis is performed based, at least in part, on subsequently received information indicative of features sensed on the contact lens.

4. The method of claim 3, wherein the receiving power is performed during a predefined time interval, and the sensing is performed during the predefined time interval during which the power is received.

5. The method of claim 3, wherein the plurality of features comprise at least one of cholesterol concentration, glucose concentration, temperature level or potential hydrogen (pH) level.

6. The method of claim 3, wherein the receiving power from the device comprises receiving from at least one device selected from the group consisting of smart phone, tablet computer, laptop, head-mounted display device, and radio frequency (RF) reader.

7. The method of claim 3, further comprising:

making a recommendation based, at least in part, on the information indicative of features sensed on the contact lens and the general health information of a wearer of the contact lens, wherein the recommendation comprises a recommended action to avoid a future health condition predicted by the statistical analysis component.

8. A contact lens, comprising:

a substrate; and

a circuit, disposed on or within the substrate, and comprising a plurality of sensors that can sense respective features associated with a wearer of the contact lens; and

an analysis component comprising a microprocessor and a memory storing computer-executable instructions for execution by the microprocessor, and wherein the analysis component can;

receive, from the plurality of sensors, the information indicative of sensed features;

generate statistical information based, at least, on a regression analysis of the information indicative of sensed features, wherein the statistical information is generated at a frequency;

predict a future health condition of the wearer of the contact lens based, at least in part, on the regression analysis; and

update the frequency at which subsequent statistical information is generated, wherein the frequency is updated based, at least in part, on previously-generated statistical information, and wherein the subsequent statistical information is generated based, at least in part, on subsequently received information indicative of features sensed on the contact lens.

9. The contact lens of claim 8, further comprising a radio frequency antenna configured to receive radio frequency signals to power the plurality of sensors for a predefined time interval.

10. The contact lens of claim 9, wherein the analysis component can further operate the radio frequency antenna to transmit at least one of the generated statistical information or the predicted future health condition.

11. The contact lens of claim 9, wherein the plurality of sensors are further configured to sense the respective features when the radio frequency antenna is receiving radio frequency signals to power the plurality of sensors.

12. The contact lens of claim 8, wherein the analysis component can further receive general health information input by the wearer of the contact lens and perform statistical analysis based, at least in part, on the general health information.

13. The contact lens of claim 8, wherein the analysis component is further configured to generate information indicative of a recommendation based, at least in part, on the information indicative of features sensed on the contact lens, wherein the recommendation comprises a recommended action to avoid a future health condition predicted by the statistical analysis component.