LIFEOTYPE MARKUP LANGUAGE

• US 20080320030A1
• Filed: 02/19/2008
• Published: 12/25/2008
• Est. Priority Date: 02/16/2007
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: JB IP Acquisitions LLC
• Inventors: Andre, David, Stivoric, John M., Teller, Eric, Monocello, John A.
• Application Number:
  US12/033,737
• Publication Number:
  US 20080320030A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0826 Detecting or evaluating apnoea events A61B5/4818 takes precedence
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/168 Evaluating attention deficit, hyperactivity
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• 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: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61M 2021/0027 : by the hearing sense
• CPC Class Codes: A61M 2021/005 : images, e.g. video
• CPC Class Codes: A61M 21/00 : Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
• CPC Class Codes: A61M 21/02 : for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021
• CPC Class Codes: G06F 16/24575 : using context
• CPC Class Codes: G06F 16/248 : Presentation of query results
• CPC Class Codes: G06F 16/25 : Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06F 16/285 : Clustering or classification
• CPC Class Codes: G06F 16/38 : Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/90344 : by using string matching techniques
• CPC Class Codes: G06N 20/00 : Machine learning
• CPC Class Codes: G06N 5/04 : Inference or reasoning models
• CPC Class Codes: G06Q 30/0242 : Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0251 : Targeted advertisements
• CPC Class Codes: G06Q 30/0269 : based on user profile or attribute
• CPC Class Codes: G06Q 30/0271 : Personalized advertisement
• CPC Class Codes: G06Q 30/0277 : Online advertisement
• CPC Class Codes: G06Q 40/08 : Insurance
• CPC Class Codes: G09B 19/00 : Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/00 : Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G16B 40/00 : ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
• CPC Class Codes: G16B 50/00 : ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 99/00 : Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• 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
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The methods and systems described herein may involve providing a standard syntax for specifying an item of lifeotype information, wherein the syntax includes at least one markup language tag, the tag specifying a type of information included in the lifeotype information. The methods and systems described herein may involve providing an item of lifeotype information, associating at least one tag with the item of lifeotype information, and documenting the lifeotype information, association and the at least one tag in a standard syntax. The methods and systems described herein may involve providing an item of lifeotype information, defining standard fields to be populated in connection with the item of lifeotype information, populating the standard fields, and aggregating the standard fields and lifeotype information across at least two items of lifeotype information.

Claims

1. A method of specifying lifeotype information, comprising:

providing a standard syntax for specifying an item of lifeotype information, wherein the syntax includes at least one markup language tag, the tag specifying a type of information included in the lifeotype information.

2. The method of claim 1, wherein the tag specifies a type of life byte.

3. The method of claim 1, wherein the tag specifies a type of life bit.

4. The method of claim 1, wherein the syntax is used as a document type definition for a markup language format for a lifeotype.

7. The method of claim 1, wherein the syntax enables the creation of lifeotypes.

8. The method of claim 1, wherein the syntax enables the processing of lifeotypes.

9. The method of claim 1, wherein the syntax enables the manipulation of lifeotypes.

14. The method of claim 1, wherein the at least one tag functions as a connector.

17. The method of claim 1, wherein the at least one tag links to other relevant data used in a particular derivation.

18. The method of claim 1, wherein the at least one tag links to measured values that are relevant to the lifeotype information.

23. The method of claim 1, wherein the tag documents at least one pattern relevant to the lifeotype information.

5-6. -6. (canceled)

10-13. -13. (canceled)

15-16. -16. (canceled)

19-22. -22. (canceled)

24-27. -27. (canceled)

28. A method, comprising:

providing an item of lifeotype information;

associating at least one tag with the item of lifeotype information; and

documenting the lifeotype information, association and the at least one tag in a standard syntax.

29. The method of claim 28, wherein the tag relates to a type of life byte.

30. The method of claim 28, wherein the tag relates to a type of life bit.

32. The method of claim 28, wherein the syntax enables the identification of lifeotypes.

40. The method of claim 28, wherein the at least one tag functions as a connector.

43. The method of claim 28, wherein the at least one tag links to other relevant data used in a particular derivation.

44. The method of claim 28, wherein the at least one tag links to measured values that are relevant to the lifeotype information.

49. The method of claim 28, wherein the tag documents at least one pattern relevant to the lifeotype information.

50. The method of claim 28, wherein the tag documents at least one sequence relevant to the lifeotype information.

31. (canceled)

33-39. -39. (canceled)

41-42. -42. (canceled)

45-48. -48. (canceled)

51-53. -53. (canceled)

54. A method, comprising:

providing an item of lifeotype information;

defining standard fields to be populated in connection with the item of lifeotype information;

populating the standard fields; and

aggregating the standard fields and lifeotype information across at least two items of lifeotype information.

55. The method of claim 54, wherein a standard field relates to a type of life byte.

56. The method of claim 54, wherein a standard field relates to a type of life bit.

58. The method of claim 54, wherein the fields enable the identification of lifeotypes.

64. The method of claim 54, wherein the fields enable interfacing with other systems.

66. The method of claim 54, wherein the fields function as a connector.

75. The method of claim 54, wherein at least one field documents at least one pattern relevant to the lifeotype information.

57. (canceled)

59-63. -63. (canceled)

65. (canceled)

67-74. -74. (canceled)

76-79. -79. (canceled)