Monitoring physiological conditions

• US 8,062,220 B2
• Filed: 08/18/2009
• Issued: 11/22/2011
• Est. Priority Date: 05/22/2007
• Status: Expired due to Fees

• Current Assignee: Monument Peak Ventures, LLC (Dominion Harbor Enterprises, LLC)
• Original Assignee: Eastman Kodak Company
• Inventors: Kurtz, Andrew F., Border, John N., Gobeyn, Kevin M., Olson, Donald E.
• Primary Examiner(s): Yao; Sam
• Assistant Examiner(s): SORIANO, BOBBY GILES
• Application Number:
  US12/542,780
• Publication Number:
  US 20090306484A1
• Time in Patent Office: 826 Days
• Field of Search: None
• US Class Current: 600/301
• 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 5/0064 Body surface scanning
• CPC Class Codes: A61B 5/0088 for oral or dental tissue
• CPC Class Codes: A61B 5/1075 for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer A61B8/0858 takes precedence
• 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: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A method for unobtrusive screening the well-being of a person using a plurality of sensing devices, including detecting the presence of a person; identifying and tracking the person; using sensing devices, which includes at least one camera, to unobtrusively sense one or more body parameters of the person; calculating and storing wellness parameters, which are derived from the sensed body parameter data; and automatically evaluating the well-being of the person based on current and prior semantic data including comparing the wellness parameters to previously determined wellness parameters for that person.

Claims

1. A method for unobtrusive screening of the well-being of a person using a plurality of sensing devices in a physiological monitoring system, comprising:

operating a physiological monitoring system in a fixed capture area, using the sensing devices, including at least one camera to capture images without control of ambient light exposure conditions;

automatically detecting the presence of a person during an image capture event;

identifying the person as a subject being monitored by the system and tracking the position and pose of the subject person;

associating known semantic data with the subject person;

using the sensing devices to automatically and unobtrusively sense one or more body parameters of the subject person from the image capture data obtained during the image capture events, while automatically determining the capture conditions, including the ambient light exposure and subject pose, as present during the capture events;

automatically analyzing the captured images and the capture condition data for a capture event to determine the acceptability of the captured images relative to defined capture criteria;

continuing image capture in an attempt to acquire acceptable images, until either such images are acquired or the subject person leaves the capture area;

calculating and storing wellness parameters, which are derived from the sensed body parameter data, including the image capture data, which have been determined acceptable relative to capture conditions; and

compiling a wellness record for the subject person and automatically evaluating the well-being of the subject person based on current and prior semantic data including comparing the wellness parameters to previously determined wellness parameters for that person.

2. The method according to claim 1 where the defined capture criteria are defined by acceptable ranges of capture variation.

3. The method according to claim 2 wherein the predefined capture criteria are determined by user privacy settings, user semantics data, the well-being parameters, and the capture parameters, either individually or in combination.

4. The method according to claim 1 wherein the semantic data includes personal data concerning physical characteristics, physiological conditions information of the person or the person'"'"'s family, personal behavior, or activity records.

5. The method according to claim 1 including automatically capturing an image of the person on an ongoing basis, without need for intervention or preparation by the person.

6. The method according to claim 1 including automatically capturing an image of a person by the camera on an ongoing basis, when initiated by the person, such that no further intervention or preparation is required of the person after initiation of the image capture.

7. The method according to claim 1 wherein the step of calculating wellness parameters includes normalizing the capture condition data or the body parameter data.

8. The method according to claim 1, wherein the sensing step includes providing a sensing device that is in physical contact with the person.

9. The method according to claim 1 wherein a sensing device is a microphone, which is used to detect voice and other audio data from the person.

10. The method according to claim 1, wherein sensing of one or more body parameters includes sensing biophysical markers, biochemical markers or emotional markers.

11. The method according to claim 10 wherein sensing biophysical markers includes sensing skin color, skin texture, moisture of skin, face, eyes, hair, neck, shoulders, mouth, hands, posture, or eye movement.

12. The method according to claim 10, wherein sensing emotional markers includes sensing expression or energy level.

13. An image-based system for monitoring physiological conditions of an individual on an ongoing basis, comprising;

an image capture device, provided in a fixed location, which can automatically capture image data of at least one individual during a capture event;

a user identification means which uses captured image data to recognize an individual as a subject being monitored for the capture event, thereby distinguishing a given subject person from non-subject persons or other subject persons;

providing known semantic data associated with the subject person;

a well-being image capture structure which quantifies the capture conditions present during the capture event, including the ambient light exposure conditions and the subject pose, and which screens the captured image data relative to predetermined image capture condition criteria to identify acceptable images;

an image normalization structure which corrects the captured image data for acceptable images to compensate for variations in the image capture conditions, to provide normalized image data;

record keeping means for compiling wellness records for all the known subjects;

a well-being assessment structure which analyzes the normalized image data relative to physiological conditions of the subject individual, or changes thereof, based upon the capture conditions and the semantic data of the subject individual, using data from the record keeping structure; and

output means for providing image data or well-being assessments of the individual.

14. The system according to claim 13, including an inference engine for deriving wellness information.

15. The system according to claim 14 wherein the inference engine employs additional analysis components, such as analytical algorithms, which are remotely supplied to the local physiological monitoring system.

16. The system as in claim 14 including a second inference engine that is located remotely to the physiological assessment system local to an individual.

17. The system as in claim 16 wherein the second inference engine initiates the local physiological assessment system to monitor the well-being of an individual relative to a new physiological condition or parameter.

18. The system according to claim 13 including means for remotely providing additional wellness parameter data or physiological condition data to the physiological assessment system.

19. The system according to claim 13 includes means for remotely storing wellness parameter data or physiological conditions data, for subject persons, from the physiological assessment system.

20. The system according to claim 13, wherein the image capture device includes;

a digital still camera, a video camera, or a camera with zoom features.

21. The system according to claim 13 wherein the image capture device captures images in the visible portion of the optical spectrum, the ultraviolet portion of the optical spectrum or the infrared portion of the optical spectrum, or combinations thereof.

22. The system according to claim 13, which further comprises means for providing illumination of the individual, the illumination being structured, polarized, or from the non-visible portions of the spectrum.

23. The system according to claim 13, further including one or more additional sensors for measuring physiological data of the individual.

24. The system according to claim 13, wherein the output means provides an alert signal including a visual alert or an audio alert.

25. The system according to claim 13, wherein the system utilizes one or more reference images of an individual.

26. The system according to claim 13, wherein the system utilizes a network, which supports system communications.