PERSONALIZED HEALTH COACHING SYSTEM
Systems and methods for a comprehensive and personalized approach to health and lifestyle coaching are described. The system may determine health metrics of a user based on detected physiological parameters. The health metrics may be used to determine health recommendations and transmit feedback to the user based on user compliance with the recommendations.
1 . (canceled)
2 . A health coaching system comprising:
a glucose sensor configured to measure a plurality of blood glucose values of a user; and
one or more hardware processors, the one or more hardware processors configured to:
correct bias in the plurality of measured glucose values based on a glucose sensitivity of the user;
receive input pertaining to a glucose-changing event;
determine a glucose response score based on the user's glucose sensitivity and the input pertaining to the glucose-changing event; and
output to a display a recommendation relating to the glucose-changing event based on the glucose response score.
3 . The health coaching system of claim 2 , wherein the glucose-changing event comprises consumption of food or a beverage or a physical activity.
4 . The health coaching system of claim 2 , wherein the one or more hardware processors is configured to generate a glucose prediction based at least in part on the glucose response score, and wherein the one or more hardware processors is configured to output the glucose prediction to the display.
5 . The health coaching system of claim 2 , wherein the input pertaining to a glucose-changing event is entered by the user into a user device, and wherein the one or more hardware processors is configured to receive the user input from the user device.
6 . The health coaching system of claim 2 , wherein the input pertaining to a glucose-changing event is automatically measured by a physiological sensor, and wherein the one or more hardware processors is configured to determine occurrence of the glucose-changing event based on the input.
7 . The health coaching system of claim 2 , wherein the one or more hardware processors is configured to classify the user's glucose sensitivity based on classification measurements, wherein the classification measurements comprise at least three glucose measurements.
8 . The health coaching system of claim 7 , wherein classification measurements are sampled at a frequency of 5-7 minutes.
9 . The health coaching system of claim 7 , wherein the classification measurements are sampled over a period of 2.5 hours or less.
10 . The health coaching system of claim 7 , wherein the one or more hardware processors comprises a neural network having at least three layers configured to classify the user's glucose sensitivity.
11 . The health coaching system of claim 2 , wherein the recommendation comprises at least one similar food or beverage to avoid.
12 . The health coaching system of claim 2 , wherein the recommendation comprises at least one food or beverage to substitute.
13 . The health coaching system of claim 2 , wherein the recommendation comprises an activity recommendation.
14 . The health coaching system of claim 13 , wherein the activity recommendation comprises a length and type of activity.
15 . The health coaching system of claim 2 , wherein the one or more hardware processors is further configured to output the glucose response score to a meal log of the display.
16 . The health coaching system of claim 2 , wherein the blood glucose sensor is a non-invasive blood glucose sensor.
17 . A method of providing health coaching recommendations to a user, the method comprising:
measuring, using a glucose sensor, a plurality of blood glucose values of a user;
correcting bias in the plurality of measured glucose values based on a glucose sensitivity of the user;
receiving input pertaining to a glucose-changing event;
determining a glucose response score based on the user's glucose sensitivity and the input pertaining to the glucose-changing event; and
outputting to a display a recommendation relating to the glucose-changing event based on the glucose response score.
18 . The method of claim 17 , wherein the glucose-changing event comprises consumption of food or a beverage or a physical activity.
19 . The method of claim 18 , wherein the determining a glucose response score is based at least in part on a glycemic index specific to the food, beverage, or physical activity.
20 . The method of claim 17 , wherein correcting bias in the plurality of measured glucose values is further based on lifestyle factors of the user.
21 . The method of claim 17 , wherein the glucose response score is a grade on an alphanumeric grading scale.