GENERAL HEALTH AND WELLNESS MANAGEMENT METHOD AND APPARATUS FOR A WELLNESS APPLICATION USING DATA ASSOCIATED WITH A DATA-CAPABLE BAND

• US 20140125480A1
• Filed: 11/06/2012
• Published: 05/08/2014
• Est. Priority Date: 11/06/2012
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: AliphCom, Inc. (AliphCom Corp.)
• Inventors: Utter, Max Everett II
• Application Number:
  US13/670,426
• Publication Number:
  US 20140125480A1
• Time in Patent Office: Days
• US Class Current: 340/539.12
• 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 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices
• 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

General health and wellness management techniques and devices are described including receiving data representing an activity profile defining parameters upon which a target activity score is established, acquiring sensor data representing acquired parameters based on sensors in a wearable computing device, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the activity profile, establishing an ability profile using the values, the ability profile associated with a classification, calculating an activity score based on the values, detecting a difference between the activity score and the target activity score, modifying a rate at which the activity score accrues as a function of the difference, and presenting a representation of the activity score relative to the target activity score.

Claims

1. A method comprising:

receiving data representing a profile defining parameters upon which a target score is established based on one or more health-related activities, wherein receiving data representing the profile comprises;

obtaining data representing a value per unit of a parameter and a reference value representing a target number of units of the parameter, the parameter corresponding to the acquired parameter;

acquiring data representing one or more subsets of acquired parameters based on one or more sensors disposed in a wearable computing device, wherein acquiring data representing the acquired parameters comprises;

obtaining for an acquired parameter data representing a type of parameter and units of the acquired parameter;

determining data representing values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the profile;

calculating at a first processor a score based on data representing the values, the score representing an attained portion of the one or more health-related activities; and

causing presentation of a representation of the score relative to the target score.

2. The method of claim 1, further comprising:

causing generation of data representing a recommendation of a health-related activity based on the data representing the type of parameter and units of the acquired parameter, the recommendation of the health-related activity being configured to facilitate a reduction of the distance between the score and the target score; and

causing presentation of a representation of the recommendation of the health-related activity.

3. The method of claim 1, further comprising:

receiving data representing a health-related activity;

determining data representing at least one type of parameter and the units of the at least one type of parameter from the data representing the health-related activity; and

adjusting the score based on the subset of data representing the at least one type of parameter.

4. The method of claim 1, further comprising:

receiving data representing a medical condition;

determining at least one type of parameter and the units of the at least one type of parameter associated with the medical condition; and

causing generation of data representing a recommendation of a health-related activity based on the at least one type of parameter and the units of the at least one type of parameter associated with the medical condition.

5. The method of claim 4, wherein the recommended health-related activity is consumption of a consumable material.

6. The method of claim 4, wherein the recommended health-related activity is consumption of a consumable material component.

7. The method of claim 1, further comprising:

receiving data representing a planned health-related activity;

determining at least one type of parameter and the units of the at least one type of parameter associated with the planned health-related activity;

forming a predicted score based on the at least one type of parameter and the units of the at least one type of parameter associated with the planned health-related activity; and

causing generation of data representing a recommendation of a health-related activity based on a magnitude of a difference between the predicted score and the target score.

8. The method of claim 1, further comprising:

emphasizing the contribution of the type of parameter.

9. The method of claim 8, wherein emphasizing the contribution of the type of parameter comprises:

assigning a weight to amplify the value of the type of parameter and units of the parameter to induce modification of the quantity of the type of parameter and units of the parameter.

10. The method of claim 1, further comprising:

determining the data representing the type of parameter and the units of the acquired parameter is associated with either a positive or a negative value; and

adjusting the score either toward the target score based on the positive value or away from the target score based on the negative value.

11. The method of claim 1, wherein at least one type of parameter and units of the parameter is associated with an activity.

12. The method of claim 2, wherein at least one type of parameter and units of the parameter is associated with nutrition intake.

13. An apparatus comprising:

a first interface configured to receive data representing acquired parameters from one or more sensors, at least one sensor being disposed in a wearable computing device, the data representing acquired parameters including data representing a type of parameter and units of the acquired parameter;

a repository configured to store data representing a profile defining parameters upon which a target score is established, the data representing the profile including data representing a value per unit of a parameter and a reference value representing a target number of units of the parameter, the parameter corresponding to the acquired parameter;

a health and wellness module configured to receive data representing a subset of the acquired parameters and further configured to determine data representing values for the subset of the acquired parameters, the values representing a point value relative to reference values for the parameters set forth in the profile;

a conversion module comprising a score generator configured to calculate a score based on data representing the values; and

a status manager configured to cause presentation of a representation of the score.

14. The apparatus of claim 13, further comprising:

a processor configured to cause generation of data representing a recommendation of a health-related activity based on the data representing the type of parameter and units of the acquired parameter to facilitate a reduction of the distance between the score and the target score,

wherein the status manager is further configured to cause presentation of a representation of the recommendation of the health-related activity.

15. The apparatus of claim 13, wherein the health and wellness module is further configured to receive data representing a health-related activity,

wherein the processor is further configured to determine from the data representing the health-related activity a subset of data representing at least one type of parameter and the units of the at least one type of parameter,

wherein the score generator is further configured to adjust the score based on the at least one type of parameter.

16. The apparatus of claim 13, wherein the health and wellness module is further configured to receive data representing a medical condition,

wherein the processor is further configured to determine at least one type of parameter and the units of the at least on type of parameter associated with the medical condition and to cause generation of data representing a recommendation of a health-related activity based on the at least one type of parameter and the units of the at least one type of parameter associated with the medical condition.

17. The apparatus of claim 13, further comprising:

an emphasis engine configured to emphasize the contribution of a type of parameter.

18. The apparatus of claim 17, wherein the emphasis engine is further configured to assign a weight to amplify the value of the type of parameter to induce modification of the quantity of the type of parameter.

19. The apparatus of claim 13, wherein:

the health and wellness module is further configured to receive data representing a planned health-related activity and to determine at least one type of parameter and the units of the at least one type of parameter associated with the planned health-related activity,

wherein the score generator is further configured to form a predicted score based on the at least one type of parameter and the units of the at least one type of parameter associated with the planned health-related activity,

wherein the processor is further configured to cause generation of data representing a recommendation of a health-related activity based on a magnitude of a difference between the predicted score and the target score.

20. The apparatus of claim 13, wherein the processor is further configured to determine the data representing a type of parameter and units of the acquired parameter is associated with either a positive or a negative value, and the score generator is further configured to adjust the score either toward the target score based on the positive value or away from the target score based on the negative value.