CAPTURING DATA FOR INDIVIDUAL PHYSIOLOGICAL MONITORING

• US 20160188831A1
• Filed: 03/03/2016
• Published: 06/30/2016
• Est. Priority Date: 05/22/2007
• Status: Active Grant

• Current Assignee: Intellectual Ventures Fund 83 LLC (Intellectual Ventures LLC)
• Original Assignee: Intellectual Ventures Fund 83 LLC (Intellectual Ventures LLC)
• Inventors: Border, John N,, Kurtz, Andrew F., Gobeyn, Kevin M., Olson, Donald E.
• Granted Patent: US 10,192,033 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 3/10 Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/1176 Recognition of faces
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/442 Evaluating skin mechanical properties, e.g. elasticity, hardness, texture, wrinkle assessment
• CPC Class Codes: A61B 5/444 Evaluating skin marks, e.g. mole, nevi, tumour, scar
• CPC Class Codes: A61B 5/445 Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore
• CPC Class Codes: A61B 5/4547 Evaluating teeth
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/63 for local operation
• 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
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method for capturing images of an individual to determine wellness for such individual, including establishing baseline physiological data for the individual, and baseline capture condition data for the individual; detecting and identifying the presence of the individual in the image capture environment; providing semantic data associated with the individual; capturing one or more images of the individual during a capture event and determining the capture conditions present during the capture event; using the event capture conditions, the baseline physiological data for the individual and the baseline capture condition data to determine the acceptability of event captured images; and using the acceptable images and the semantic data in determining the wellness of the individual.

Claims

1. A method comprising:

receiving, via a processor, health data, semantic data, and identification from a subject;

receiving, via the processor, subject image data;

measuring, via the processor, environmental factors;

perform, via the processor, data analysis on the information received and the environmental factors;

determining, via the processor, nominal input capture parameters and wellness parameters; and

preparing, via the processor, a reference image based on the determined nominal input capture parameters, wellness parameters, and data analysis.

2. The method of claim 1, further comprising comparing a received image with the reference image.

3. The method of claim 2, further comprising determining possible causes and interventions of identified health issued based on comparing the received image with the reference image.

4. The method of claim 1, wherein preparing the reference image includes changing a range of variable capture conditions to prepare a collection of baseline data.

5. The method of claim 4, wherein the collection of baseline data includes a plurality of reference images.

6. The method of claim 1, further comprising generating reference image parameters to quantify physical attributes for reference features of the subject.

7. The method of claim 6, wherein reference features include distance between the eyes of the subject.

8. The method of claim 6, further comprising identifying the subject based at least in part on the reference image parameters.

9. A system comprising:

one or more processors configured to;

receive health data, semantic data, and identification from a subject;

receive subject image data;

measure environmental factors;

perform data analysis on the information received and the environmental factors;

determine nominal input capture parameters and wellness parameters; and

prepare a reference image based on the determined nominal input capture parameters, wellness parameters, and data analysis.

10. The system of claim 9, wherein the one or more processors are further configured to compare a received image with the reference image.

11. The system of claim 10, wherein the one or more processors are further configured to determine possible causes and interventions of identified health issued based on comparing the received image with the reference image.

12. The system of claim 9, wherein the preparation of the reference image includes changing a range of variable capture conditions to prepare a collection of baseline data.

13. The system of claim 12, wherein the collection of baseline data includes a plurality of reference images.

14. The system of claim 9, wherein the one or more processors are further configured to generate reference image parameters to quantify physical attributes for reference features of the subject.

15. A non-transitory computer-readable medium having instructions stored thereon, the instructions comprising:

instructions to receive health data, semantic data, and identification from a subject;

receive subject image data;

instructions to measure environmental factors;

instructions to perform data analysis on the information received and the environmental factors;

instructions to determine nominal input capture parameters and wellness parameters; and

instructions to prepare a reference image based on the determined nominal input capture parameters, wellness parameters, and data analysis.

16. The non-transitory computer-readable medium of claim 15, wherein instructions to prepare the reference image includes instructions to change a range of variable capture conditions to prepare a collection of baseline data.

17. The non-transitory computer-readable medium of claim 16, wherein the collection of baseline data includes a plurality of reference images.

18. The non-transitory computer-readable medium of claim 15, further comprising instructions to generate reference image parameters to quantify physical attributes for reference features of the subject.

19. The non-transitory computer-readable medium of claim 18, wherein reference features include distance between the eyes of the subject.

20. The non-transitory computer-readable medium of claim 19, further comprising instructions to identify the subject based at least in part on the reference image parameters.