QUANTITATIVE DIET TRACKING AND ANALYSIS SYSTEMS AND DEVICES

• US 20180240358A1
• Filed: 02/20/2018
• Published: 08/23/2018
• Est. Priority Date: 02/17/2017
• Status: Active Grant

• Current Assignee: Mindful Projects, LLC
• Original Assignee: Mindful Projects, LLC
• Inventors: Crepp, Justin
• Granted Patent: US 10,565,897 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A63B 2220/17 Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/836 Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2230/062 used as a control parameter for the apparatus
• CPC Class Codes: A63B 2230/203 used as a control parameter for the apparatus
• CPC Class Codes: A63B 2230/206 used as a control parameter for the apparatus
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: A63B 24/0075 Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• 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: 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
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The present disclosure provides a system that quantitatively tracks an individual'"'"'s diet and exercise using smart devices (phones, watches, and other wearables). Unlike existing programs, which work in energy units (calories), the present system works in mass units (grams) and satisfies the fundamental physics law of conservation of mass. Food ingested is tracked as well as exercise in order to place the user on a quantitative, custom diet that safely and effectively results in weight loss. In addition to rigorously treating the problem of weight loss by addressing the physics that underlies diet and exercise, the system empirically learns about the user over time such that performance may be optimized.

Claims

1. A system for generating a dietary plan including macronutrient mass value units, wherein the system comprises:

a controller;

a memory coupled to the controller, wherein the memory is configured to store program instructions executable by the controller;

wherein in response to executing the program instructions, the controller is configured to;

receive weight data and a goal weight value from a user;

receive dietary data and exercise data;

generate at least two macronutrient values based on the received dietary data, the exercise data, weight data, and the goal weight or BMI,

wherein a first macronutrient value is a maximum amount of a first macronutrient the user can consume in order to achieve the goal weight in a first time length, wherein a second macronutrient value is a maximum amount of the first macronutrient the user can consume in order to achieve the goal weight in a second time length, wherein the first time length is greater than the second time length; and

display the two generated macronutrient values on the user interface.

2. The system of claim 1, wherein the controller is further configured to receive via a user interface user profile information, wherein the user profile information includes age, race, gender, weight, height, blood pressure, cholesterol, or combinations thereof, wherein the at least two macronutrient values are based on user profile information.

3. The system of claim 1, wherein the first macronutrient value is a maximum amount of the first macronutrient the user can consume in order to achieve a weight maintenance goal.

4. The system of claim 1, wherein the dietary data is received from the user.

5. The system of claim 1, wherein the controller is further configured to determine at least one of glycemic index, glycemic score, glycemic load, insulin index, insulin score, or insulin load based on the dietary data.

6. The system of claim 1, wherein the dietary data is received automatically from a food tracking system.

7. The system of claim 1, wherein the exercise data is received from the user.

8. The system of claim 1, wherein the exercise data is received automatically from a fitness tracking system including an accelerometer or heart rate monitor.

9. The system of claim 8, wherein the fitness tracking system obtains a number of steps, distance exercised, heart rate, or combinations thereof.

10. The system of claim 1, wherein the exercise data is heart rate data.

11. The system of claim 1, wherein the exercise data is heart rate data, wherein the heart rate data is automatically uploaded from a heart rate sensor in communication with the controller.

12. The system of claim 1, wherein the controller is configured to determine a consumed mass value based on the input dietary data.

13. The system of claim 1, wherein the controller is configured to determine a carbon dioxide mass loss based on the exercise data, wherein determining the macronutrient values is based on the carbon dioxide mass loss.

14. The system of claim 13, wherein the exercise data is a number of steps.

15. The system of claim 1, wherein the fitness tracking system calculates carbon dioxide expelled by the user based on heart rate data.

16. The system of claim 1, wherein the first macronutrient value corresponds with a macronutrient value required to maintain the present weight value, wherein the second macronutrient value corresponds with a macronutrient value required to achieve the goal weight with a low intensity effort,

wherein the controller is configured to generate a third macronutrient value and a fourth macronutrient value, wherein the macronutrient values are based on the received the dietary data, the exercise data, the present weight, and the goal weight,

wherein a third macronutrient value corresponds with a macronutrient value required to achieve the goal weight with a medium intensity effort,

wherein a fourth macronutrient value corresponds with a macronutrient value required to achieve the goal weight with a high intensity effort.

17. The system of claim 1, wherein the controller is further configured to generate an exercise program based on the received dietary data, the exercise data, the weight data, and the goal weight.

18. The system of claim 1, wherein the controller is further configured to modify the generated at least two macronutrient values based on the most recent input dietary data, exercise data, and weight data.

19. The system of claim 1, wherein the controller calculates a CO₂ exhalation value based on measured mass loss as a function of time.

20. The system of claim 1, wherein the macronutrient value is a carbohydrate value, protein value, fat value, fiber value, sugar value, water value, glycemic index, glycemic score, glycemic load, insulin index, insulin score, insulin load, satiety index, and/or combinations thereof.