SYSTEM AND METHOD OF APPROXIMATING CALORIC ENERGY INTAKE AND/OR MACRONUTRIENT COMPOSITION

• US 20140169400A1
• Filed: 11/21/2013
• Published: 06/19/2014
• Est. Priority Date: 12/19/2012
• Status: Abandoned Application

• Current Assignee: Access Business Group International LLC (Alticor Incorporated)
• Original Assignee: Access Business Group International LLC (Alticor Incorporated)
• Inventors: Baarman, David W., Runyon, Matthew K., Dean, Cody D., Kuyvenhoven, Neil W.
• Application Number:
  US14/085,861
• Publication Number:
  US 20140169400A1
• Time in Patent Office: Days
• US Class Current: 374/45
• CPC Class Codes: A61B 2560/0247 for compensation or correction of the measured physiological value
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/22 Ergometry; Measuring muscular strength or the force of a muscular blow exercising apparatus A63B21/00 ; measuring of work or force in general G01L
• CPC Class Codes: A61B 5/4266 sweat secretion
• CPC Class Codes: A61B 5/4306 for evaluating the female reproductive systems, e.g. gynaecological evaluations
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/6815 Ear
• CPC Class Codes: G01N 25/00 Investigating or analyzing materials by the use of thermal means G01N3/00 - G01N23/00 take precedence

Abstract

Systems and methods for approximating caloric energy intake and/or macronutrient composition using thermogenesis. The system may include one or more sensors for tracking body temperature over a period of time, and may include a processor configured to determine caloric energy intake and/or macronutrient composition based on body temperature. The system may be configured to normalize body temperature readings to compensate for factors other than thermogenesis that might affect core body temperature. The system may include one or more sensors for measuring normalization factors, and a processor for normalizing raw body temperature readings based on the measured normalized factors. The method may include the steps of: (a) collecting body temperature data, (b) normalizing the raw body temperature data and (c) determining caloric energy intake and/or macronutrient composition from the normalized data. The system may be configured to account for user calibration data when characterizing macronutrient composition.

Claims

1. An apparatus for estimating caloric energy intake of a meal comprising:

a body temperature sensor configured to provide body temperature readings;

an ambient temperature sensor configured to provide ambient temperature readings;

a physical activity sensor configured to provide physical activity readings; and

a processor configured to provide normalized temperature readings by normalizing said body temperature readings as a function of said ambient temperature readings and said physical activity readings, said processor configured to compute caloric energy intake as a function of said normalized body temperature readings.

2. The apparatus of claim 1 wherein said processor is configured to take body temperature readings for a period of time associated with a meal.

3. The apparatus of claim 2 wherein said processor is configured to compute caloric energy intake as a function of a total thermal response of the meal, a thermogenic maximum of the meal and a time-to-thermic maximum of the meal.

4. The apparatus of claim 1 wherein said body temperature sensor, said ambient temperature sensor, said physical activity sensor and said processor are contained in a personal device capable of being worn by an individual.

5. The apparatus of claim 1 wherein said body temperature sensor includes a plurality of body temperature sensors disposed at different locations.

6. The apparatus of claim 5 wherein at least one of said body temperature sensors is remote from said processor, said remote body temperature sensor having a wireless communication system for wirelessly communication said body temperature readings to said processor.

7. The apparatus of claim 1 wherein said physical activity sensor includes a three-axis accelerometer.

8. The apparatus of claim 1 wherein said processor includes predetermined calibration data representing the user'"'"'s response to macronutrients, said processor configured to compute caloric energy intake as a function of said normalized body temperature readings and said calibration data.

9. The apparatus of claim 1 wherein said processor is disposed in a device;

and

said body temperature sensor is disposed in a remote sensor separate from said device, said remote sensor being configured to be fitted into the user'"'"'s ear.

10. The apparatus of claim 9 wherein said remote sensor includes a wireless communication circuit for communicating said body temperature readings to said device.

11. The apparatus of claim 10 wherein said remote sensor includes a data storage for storing said body temperature readings.

12. A system for determining caloric energy intake of food consumed by an individual comprising:

a body temperature sensor arranged to take raw body temperature readings reflective of core body temperature of the individual;

a first normalization factor sensor, said first normalization factor sensor configured to take first normalization factor readings reflective of a first factor other than a thermic effect of food that can impact core body temperature of the individual;

a processor configured to provide normalized temperature readings by normalizing said raw body temperature readings as a function of said first normalization factor readings, said processor configured to compute caloric energy intake as a function of said normalized body temperature readings.

13. The system of claim 12 wherein said first normalization factor sensor includes at least one of an ambient temperature sensor and a physical activity sensor.

14. The system of claim 12 further including a second normalization factor sensor, said second normalization factor sensor configured to take second normalization factor readings reflective of a second factor different from said first factor and other than a thermic effect of food that can impact core body temperature of the individual.

15. The system of claim 14 wherein said first normalization factor sensor is an ambient temperature sensor and said second normalization factor sensor is a physical activity sensor.

16. The system of claim 12 wherein said body temperature sensor is configured to take body temperature readings for a period of time associated with a meal.

17. The system of claim 16 wherein said processor is configured to compute caloric energy intake as a function of a total thermal response of the meal, a thermogenic maximum of the meal and a time-to-thermic maximum of the meal.

18. The system of claim 12 wherein said processor includes predetermined calibration data representing the user'"'"'s response to macronutrients, said processor configured to compute caloric energy intake as a function of said normalized body temperature readings and said calibration data.

19. The system of claim 12 wherein said processor is disposed in a personal device capable of being worn by a user;

and

said body temperature sensor is disposed in a remote sensor separate from said personal device, said remote sensor being configured to be fitted into the user'"'"'s ear.

20. The system of claim 19 wherein said remote sensor includes a wireless communication circuit for communicating said body temperature readings to said personal device.

21. The system of claim 20 wherein said remote sensor includes a data storage for storing said body temperature readings.

22. A method for determining caloric energy intake of a meal, comprising the steps of:

measuring body temperature readings of a user;

normalizing the body temperature readings based on at least one normalization factor, the normalization factor being a factor impacting the body temperature readings other than thermic effect of food; and

computing caloric energy intake of the meal from the normalized body temperature readings.

23. The method of claim 22 wherein said step of normalizing includes the steps of sensing ambient temperature and adjusting the measured body temperature readings as a function of the sensed ambient temperature.

24. The method of claim 22 wherein said step of normalizing includes the steps of sensing physical activity of the user and adjusting the measured body temperature readings as a function of the sensed physical activity.

25. The method of claim 22 wherein said step of normalizing includes the steps of sensing time of day and adjusting the measured body temperature readings as a function of the sensed time of day.

26. The method of claim 22 wherein said step of normalizing includes the steps of sensing UV exposure and adjusting the measured body temperature readings as a function of the sensed UV exposure.

27. The method of claim 22 wherein said step of normalizing includes the steps of sensing user sweat level and adjusting the measured body temperature readings as a function of the sensed user sweat level.

28. The method of claim 22 wherein said step of normalizing includes the steps of:

sensing ambient temperature;

adjusting the measured body temperature readings as a function of the sensed ambient temperature;

sensing physical activity of the user; and

adjusting the measured body temperature readings as a function of the sensed physical activity.

29. The method of claim 28 wherein said step of sensing ambient temperature includes collecting temperature readings from a plurality of temperature sensors located at different positions on the user'"'"'s body.

30. The method of claim 29 wherein said step of sensing physical activity includes the step of collecting readings from an accelerometer.

31. The method of claim 29 wherein said step of sensing physical activity includes the step of collecting readings from a three-axis accelerometer.

32. The method of claim 22 wherein said step of computing caloric energy intake includes determining a ratio of at least two different macronutrients.

33. The method of claim 22 wherein said step of computing caloric energy intake includes determining a ratio of fat, protein and carbohydrates in a meal.

34. The method of claim 22 wherein said step of computing caloric energy intake includes computing caloric intake as a function of said ratio of fat, protein and carbohydrates in a meal.

35. A method of computing caloric energy intake of a user for a meal, comprising the steps of:

measuring raw body temperature readings of the user;

measuring physical activity of the user;

measuring ambient temperature of an environment around the user;

normalizing the raw body temperature readings of the user based on the measured physical activity of the user and the measured ambient temperature; and

computing caloric energy intake as a function of the normalized body temperature readings.

36. The method of claim 35 wherein said step of computing caloric energy intake includes the steps of:

developing a temperature profile;

determining a total thermal response of the meal from the temperature profile;

determining a thermogenic maximum of the meal from the temperature profile;

determining a time-to-thermic maximum of the meal from the temperature profile; and

determining caloric energy intake as a function of the total thermal response, the thermogenic maximum and the time-to-thermic maximum.

37. The method of claim 35 wherein said step of computing caloric energy intake includes the steps of:

developing a temperature profile;

determining a total thermal response from the temperature profile for each of fats, carbohydrates and proteins;

determining a thermogenic maximum from the temperature profile for each of fats, carbohydrates and proteins;

determining a time-to-thermic maximum from the temperature profile for each of fats, carbohydrates and proteins; and

determining caloric energy intake as a function of the total thermal response, the thermogenic maximum and the time-to-thermic maximum for each of fats, carbohydrates and proteins.

38. The method of claim 37 further including the steps of:

determining a total thermal response of the meal as a function of the total thermal response for each of fats, carbohydrates and proteins;

determining a thermogenic maximum of the meal as a function of the thermogenic maximum of fats, carbohydrates and proteins;

determining a time-to-thermic maximum of the meal as a function of the time-to-thermic maximum of fats, carbohydrates and proteins; and

determining caloric energy intake as a function of the total thermal response of the meal, the thermogenic maximum of the meal and the time-to-thermic maximum of the meal.

39. The method of claim 38 further including the steps of determining a relative contribution of fats, carbohydrates and proteins to the total thermal response of the meal, the thermogenic maximum of the meal and the time-to-thermic maximum of the meal;

and

wherein said step of determining caloric energy intake as a function of the total thermal response of the meal, the thermogenic maximum of the meal and the time-to-thermic maximum of the meal includes the step of accounting of the relative contribution of fat, carbohydrates and proteins.

40. The method of claim 38 further including the step of determining calibration data representative of a relative contribution of fats, carbohydrates and proteins to the total thermal response of the meal, the thermogenic maximum of the meal and the time-to-thermic maximum of the meal;

and

wherein said step of determining caloric energy intake includes determining caloric energy intake as a function of the total thermal response of the meal, the thermogenic maximum of the meal and the time-to-thermic maximum of the meal calibrated by the calibration data.