System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability
View Patent ↗A nutrition and activity management system is disclosed that monitors energy expenditure of an individual through the use of a body-mounted sensing apparatus. The apparatus is particularly adapted for continuous wear. The system is also adaptable or applicable to measuring a number of other physiological parameters and reporting the same and derivations of such parameters. A weight management embodiment is directed to achieving an optimum or preselected energy balance between calories consumed and energy expended by the user. An adaptable computerized nutritional tracking system is utilized to obtain data regarding food consumed, Relevant and predictive feedback is provided to the user regarding the mutual effect of the user's energy expenditure, food consumption and other measured or derived or manually input physiological contextual parameters upon progress toward said goal.
1. A system to provide feedback for an individual's weight-loss goal, said system comprising:
a. a wearable sensor device for detecting data; and
b. a processing unit in electronic communication with said sensor device, said processing unit configured to accomplish the following steps, thus providing said feedback:
(i) derive physiological and contextual data of the individual from data detected by said sensor device;
(ii) prompt said individual to establish a weight-loss goal;
(iii) generate a first suggestion to engage in an activity to assist said individual to achieve said weight-loss goal;
(iv) determine weight-loss;
(v) generate a second suggestion to engage in an activity to assist said individual to achieve said weight-loss goal if said weight-loss goal is not progressing toward the goal;
wherein said second suggestion is based upon a determination of whether or not the individual complied with said first suggestion; and
wherein said determination of whether or not the individual complied with said first suggestion is based on said derived physiological and contextual data of the individual.
2. The system of claim 1 , wherein said processing unit is further configured to derive an energy balance from said detected data.
3. The system of claim 2 , wherein the energy balance is derived from daily caloric intake and energy expenditure.
4. The system of claim 3 , wherein said feedback comprises the effect of daily caloric intake and energy expenditure upon each other.
5. The system of claim 2 , wherein said processing unit is configured to utilize said energy balance to track and predict changes in human physiological parameters.
6. The system of claim 1 , wherein said processing unit is further configured to identify a pattern of behavior from said detected data, to determine whether said pattern affects said user's progress, and to adapt said identified pattern of behavior.
7. The system of claim 6 , wherein said pattern is recorded for future review.
8. The system of claim 7 , wherein said processing unit is further configured to analyze said recorded patterns to detect one of: (i) current and (ii) future patterns of negative, positive and neutral human physiological status parameters.
9. The system of claim 8 , wherein said analysis of recorded patterns are based on one of (i) data from the individual's personal history and (ii) aggregate data of other individuals.
10. The system of claim 1 , further comprising a database comprising data.
11. The system of claim 10 , wherein said database includes patterns of physiological data.
12. The system of claim 10 , wherein said database includes patterns of contextual data.
13. The system of claim 10 , wherein said database includes patterns of activity data derived from said detected data.
14. The system of claim 10 , wherein said processing unit is further configured to analyze said data in database to establish data patterns.
15. The system of claim 14 , wherein said processing unit is further configured to instruct said system to store said data patterns.
16. The system of claim 15 , wherein said processing unit is further configured to compare stored data patterns to detected data to identify and categorize said detected data into additional data patterns.
17. The system of claim 15 , wherein said processing unit is further configured to (i) compare stored data patterns to detected data to identify such detected data as being similar to at least one of said stored data patterns and (ii) predict future data.
18. The system of claim 17 , wherein said processing unit is configured to generate output based upon said prediction of said future data.
19. The system of claim 18 , wherein said output is an alarm.
20. The system of claim 18 , wherein said output is a report.
21. The system of claim 18 , wherein said output is utilized as input by another device.
22. The system of claim 1 , wherein said processing unit is further configured to utilize said feedback for the purpose of establishing an initial assessment for a health modification plan.
23. The system of claim 22 , wherein said processing unit is further configured to utilize said feedback for assessing interim status of progress toward said health modification plan.
24. The system of claim 1 , wherein said first suggestion comprises a plan.
25. The system of claim 1 , further comprising an algorithm stored in a memory of the processing unit, the algorithm configured to calculate weight loss or weight gain using inputs from at least one of the sensor and the individual.
26. The system of claim 1 , wherein said processing unit is further configured to derive energy expenditure data from said detected data.
27. The system of claim 26 , wherein said processing unit is further configured to utilize said energy expenditure data to track and predict changes in the individual's human physiological parameters.
28. The system of claim 1 , wherein the system is configured for use in the management of at least one of sleep, pregnancy,. diabetes, cardiovascular disease, wellness, and stress.
29. The system of claim 1 , wherein said sensor device comprises at least one of a weight scale and a glucose monitor.