METRICS ASSESSMENT SYSTEM FOR HEALTH, FITNESS AND LIFESTYLE BEHAVIORAL MANAGEMENT

• US 20100227302A1
• Filed: 03/04/2010
• Published: 09/09/2010
• Est. Priority Date: 03/05/2009
• Status: Active Grant

• Current Assignee: Fat Statz, LLC
• Original Assignee: Fat Statz, LLC
• Inventors: McGilvery, Justin, Mitbo, Dale E.
• Granted Patent: US 9,400,872 B2
• Time in Patent Office: Days
• US Class Current: 434/236
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/4872 Body fat
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G09B 19/0038 Sports
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: G09B 7/06 of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A software and hardware system is described that enables effective lifestyle management by providing a dynamic assessment of a user'"'"'s physical and behavioral metrics via a high feedback ratio interface.

Claims

1. A behavioral management system comprising:

software residing on a server and hardware connected to the server via a network, wherein user generated data is entered into the system and organized and stored in a database in a manner that enables high feedback ratio interfaces, such that a user is provided with a position and/or rank determined by comparing an individual user'"'"'s current data to an active data set.

2. The system of claim 1, wherein the hardware is selected from the group consisting of an Internet-enabled device, a biometric device with bidirectional integration, and a biometric device with unidirectional integration.

3. The system of claim 1, wherein the hardware is selected from the group consisting of a body weight scale, a body composition scale, a pedometer and a heart rate monitor.

4. The system of claim 1, wherein the user generated data is of a type selected from the group consisting of biometric data, behavioral data, and expression data.

5. The system of claim 4, wherein the biometric data is selected from the group consisting of weight, body fat percentage, height, age, blood pressure reading, injury status, miles run, calories consumed and nutritional intake.

6. The system of claim 4, wherein the behavioral data is selected from the group consisting of user login frequency, recording activity percentage, amount of exercise, intensity of exercise, type of exercise and time of day meal eaten.

7. The system of claim 4, wherein the expression data is selected from the group consisting of opinions, preferences, feelings, moods, energy level, comments and diary entries.

8. The system of claim 4, wherein the expression data is selected from the group consisting of a user-generated motivation profile or a user-generated obstacle profile.

9. The system of claim 1, wherein the high feedback ratio interface allows the user to reference additional data generated through simultaneous cross-referencing of multiple metrics.

10. The system of claim 1, wherein the user can select a combination of filters to alter the active data set, thereby affecting the user'"'"'s position and/or rank.

11. A behavioral management system comprising a body composition scale having an Internet-enabled CPU and software running on the CPU, wherein individual test data obtained from the scale is organized and stored in a database, and wherein the system allows individual users to relate their individual test data against a reference data set which comprises an aggregate record of all individual test data, such that a user is provided with a position and/or rank within that reference data set.

12. The system of claim 11, wherein the system further comprises a high feedback ratio interface that allows the user to reference additional data generated through simultaneous cross-referencing of multiple metrics.

13. The system of claim 11, wherein the user can select one or more filters to alter the reference data set, thereby affecting the relationship between the individual test data and the reference data set, resulting in a different position and/or rank within the altered reference data set.

14. The system of claim 11, wherein the individual test data is body weight.

15. The system of claim 11, wherein the individual test data is body fat percentage.

16. The system of claim 13, wherein the filter is selected from the group consisting of gender, height, and age.