Personalized dynamic feedback control of body weight

• US 9,569,483 B2
• Filed: 01/30/2013
• Issued: 02/14/2017
• Est. Priority Date: 01/30/2012
• Status: Active Grant

• Current Assignee: United States Secretary of Health and Human Services is the head of the United States Department of Health and Human Services
• Original Assignee: The United States of America As Represented By The Secretary of Agriculture
• Inventors: Hall, Kevin Dennis
• Primary Examiner(s): Ly, Cheyne D
• Application Number:
  US13/754,058
• Publication Number:
  US 20130198214A1
• Time in Patent Office: 1,476 Days
• Field of Search: 702/19, 707/758
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

The present subject matter relates to a personalized weight management program incorporating dynamic feedback control using a validated mathematical model of metabolism and weight change. In general, the subject matter provides a system for repeated monitoring of one or more parameters such as, for example, body weight, physical activity, diet, eating behavior, or various other physiological and behavioral measurements, and using the parameter(s) to calculate an objective and personalized measure of adherence to a prescribed intervention, iteratively update mathematical model parameters, and adjust the prescribed intervention based on revised model predictions. Such a dynamic feedback control methodology can improve adherence to weight management interventions and result in greater weight loss and improved weight maintenance. The present subject matter also relates to a novel, cost-effective, weight management tool that could be widely disseminated through the internet and mobile computing platforms.

Claims

1. A personalized weight management system for monitoring and managing body weight, comprising:

at least one processor;

a data base for storing;

a weight management record for an individual or for each one of a plurality of individuals, each weight management record corresponding to weight management data comprising current body weight for an individual; and

a personal weight metabolism model record for an individual or for each one of a plurality of individuals, each personal weight metabolism model record corresponding to a particular mathematical model of metabolism that predicts future changes in weight for an individual; and

a weight management application comprising modules executable by the at least one processor to;

receive a weight management request, the weight management request comprising current weight management data comprising body weight for a particular individual;

retrieve a corresponding personal weight metabolism model for the particular individual from the data base in response to the management request, the personal weight metabolism model comprising an equation that calculates one or more expected weight parameter comprising expected body weight for the particular individual based on current body weight;

calculate at least one new weight parameter comprising expected body weight for using the corresponding personal weight metabolism model based on the current body weight data;

compare the new weight parameter to the expected parameter to determine an adherence status for the particular individual with a defined intervention program; and

generate a feedback signal to achieve weight management comprising attaining a desired body weight for the particular individual.

2. The system of claim 1 wherein the defined intervention program is selected from the group consisting of diet intervention, exercise, psychological intervention, surgery, medication administration, alteration of sleep or circadian rhythmicity, and a combination thereof.

3. The system of claim 1 wherein the weight management data further comprises accelerometer data for the particular individual.

4. The system of claim 1 wherein the weight management request is received from a remote computing device via a communication network.

5. The system of claim 1 wherein the remote computing device is at least one member selected from a group consisting of a personal computer, a lap top computer, a personal digital assistant, an energy sensing device, a weight sensing device, and a combination thereof.

6. The system of claim 5 wherein the weight management data is supplemented by data generated by the energy sensing device, the energy sensing device providing a measurement of weight management data selected from at least one physiological measurement, at least one behavioral measurement, and a combination thereof.

7. The system of claim 5 wherein the energy sensing device provides weight management data selected from the group consisting of metabolic heat, body composition, oxygen consumption, carbon dioxide production, isotopic tracer dilution, isotopic tracer turnover, urinary metabolites, blood metabolites, blood hormone levels, physical activity, exercise, heart rate, blood pressure, food selection, diet adherence, eating behavior, step number, accelerometer data, and a combination thereof.

8. The system of claim 5 wherein the weight management data is generated by the weight sensing device.

9. The system of claim 1 wherein the modules executable by the at least one processor are further configured to transmit the feedback signal to the remote computing device via the communication network for display.

10. The system of claim 1 wherein the feedback signal to achieve weight management comprises dietary management program adjustments, required behavior adjustments, a projected weight loss trajectory range at the particular individual'"'"'s current adherence status, prescriptions for specific modifications to the intervention required to achieve a desired goal weight, or a combination thereof.

11. The system of claim 1 wherein the adherence status comprises at least one of:

a projection of whether the particular individual is on track to meet a personal weight goal; and

one or more corrective dietary and/or physical activities to place the particular individual back on track to meet the weight goal.

12. A method for monitoring and managing the weight of an individual, comprising:

receiving a weight management request at at least one processor, the weight management request comprising current weight management data comprising current body weight for a particular individual;

retrieving a corresponding personal weight metabolism model for a particular individual from a data base in response to the weight management request, the data base storing a plurality of personal weight metabolism model records, each personal weight metabolism model record comprising body weight for the particular individual and corresponding to a particular mathematical model of metabolism that predicts future changes in body weight for an individual or for each of a plurality of individuals, the personal weight metabolism model comprising an equation that calculates one or more expected weight parameter comprising expected body weight for the particular individual based on current body weight;

calculating at least one new weight parameter comprising expected body weight at the at least one processor for the corresponding personal weight metabolism model based on the current body weight;

comparing the new weight parameter to the expected parameter at the at least one processor to determine an adherence status for the particular individual with a defined intervention program; and

generating, at at least one processor, a feedback signal to achieve weight management comprising attaining a desired body weight for the particular individual.

13. The method of claim 12 wherein the defined intervention program is selected from the group consisting of diet intervention, exercise, psychological intervention, surgery, medication administration, alteration of sleep or circadian rhythmicity, and a combination thereof.

14. The method of claim 12 wherein the weight management data further comprises accelerometer data for the particular individual.

15. The method of claim 12 wherein the weight management data received from a weight sensing device via a communication network.

16. The method of claim 12 wherein the weight management data is received from a remote computing device via a communication network.

17. The method of claim 12 further comprising transmitting the feedback signal to the remote computing device via the communication network for display.

18. The method of claim 12 wherein the feedback signal comprises a message or generated report that informs the particular individual of required dietary management program adjustments, required behavior adjustments, a projected weight loss trajectory range at the s particular individual'"'"'s current adherence status, prescriptions for specific modifications to the intervention required to achieve a desired goal weight.

19. The method of claim 12 wherein:

the weight management request is received from and energy sensing device the via a communication network;

the weight management data is supplemented by data generated by the energy sensing device; and

the weight management data is selected from at least one physiological measurement, at least one behavioral measurement, or a combination thereof.

20. The method of claim 12 wherein the weight management data is selected from the group consisting of metabolic heat, body composition, oxygen consumption, carbon dioxide production, isotopic tracer dilution, isotopic tracer turnover, urinary metabolites, blood metabolites, blood hormone levels, physical activity, exercise, heart rate, blood pressure, food selection, diet adherence, eating behavior, step number, and accelerometer data, and a combination thereof.