Metrics assessment system for health, fitness and lifestyle behavioral management

• US 9,400,872 B2
• Filed: 03/04/2010
• Issued: 07/26/2016
• Est. Priority Date: 03/05/2009
• Status: Active Grant

• Current Assignee: Fat Statz, LLC
• Original Assignee: Fat Statz, LLC
• Inventors: Mitbo, Dale E., McGilvery, Justin
• Primary Examiner(s): GISHNOCK, NIKOLAI A
• Application Number:
  US12/717,811
• Publication Number:
  US 20100227302A1
• Time in Patent Office: 2,336 Days
• Field of Search: 434/127, 434/262
• US Class Current: 1/1
• 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 a fitness biometric measuring hardware device connected to the server via a network, wherein user generated data is stored in a database in a manner that enables high feedback ratio interfaces that allow the user to reference a dynamic data set containing data related to multiple metrics for each of a set of other users, wherein users are individuals connected to the behavior management software via hardware and a network, the referenced dynamic data set being actively defined based on data flows from and to one or more of the other users with the behavioral management system via Internet-enabled devices, professional and consumer biometric devices, or third party professional and consumer biometric devices, and further allows the user to interact with the software to select from multiple filters to generate a filtered data subset of the referenced dynamic data set, the filtered data subset being based on the selection, such that the user is provided with multiple changeable positions and/or ranks, each of the changeable positions and/or ranks being based on a comparison of a value of a metric of the user generated data with values of the respective metric of the filtered data subset, wherein the high feedback ratio interfaces allow the user to simultaneously select multiple of the multiple filters such that the filtered data subset will be based on each of the simultaneously selected filters, wherein the biometric hardware device is selected from the group consisting of a body weight scale, a body composition scale, a pedometer and a heart rate monitor.

2. The system of claim 1, wherein the user generated data comprises at least one of biometric data and behavioral data.

3. The system of claim 2, wherein the user generated data is selected from the group consisting of weight, body fat percentage, miles run, and heart rate.

4. The system of claim 2, wherein the user generated data is selected from the group consisting of amount of exercise, intensity of exercise, and type of exercise.

5. The system of claim 1, wherein results for individuals one or more positions different from the user'"'"'s current position in a user selected group are provided.

6. The system of claim 1, wherein users are provided metric data from users one or more positions different from the user'"'"'s current position in a user selected group.