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Consumer-oriented biometrics data management and analysis system

  • US 10,453,562 B2
  • Filed: 05/08/2014
  • Issued: 10/22/2019
  • Est. Priority Date: 05/08/2014
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving, by a server device, a set of information including pluralities of data points for each of manually entered health-related data for a user, automatically collected health-related data for the user, and medical test results for the user, wherein the server device receives the automatically collected health-related data periodically via a network from a wearable health-tracking device worn by the user;

    in response to receiving the set of information, integrating, by the server device, the manually entered health-related data for the user, the automatically collected health-related data for the user, and the medical test results for the user into a comprehensive health profile for the user, wherein integrating the manually entered health-related data for the user, the automatically collected health-related data for the user, and the medical test results for the user into the comprehensive health profile for the user comprises;

    (i) determining a health-related correlation between diet, medication intake, and reported mood of the user, wherein the health-related correlation indicates an extent to which respective data points related to the diet, medication intake, and reported mood of the user vary together,(ii) adding an indication of the health-related correlation to the comprehensive health profile for the user,(iii) performing, by an analytics engine, goodness-of-fit tests between (a) a series of blood sugar levels from the user measured at points in time after the user has eaten, and (b) curves representing each of a normal blood sugar response after eating, a pre-diabetic blood sugar response after eating, and a diabetic blood sugar response after eating, wherein the series of blood sugar levels from the user is part of the one or more of the manually entered health-related data for the user, the automatically collected health-related data for the user, and the medical test results for the user,(iv) based on the goodness-of-fit tests, concluding, by the analytics engine, that the series of blood sugar levels from the user indicates the normal blood sugar response after eating, the pre-diabetic blood sugar response after eating, or the diabetic blood sugar response after eating,(v) adding an indication of the conclusion to the comprehensive health profile for the user,(vi) determining one or more longitudinal trends regarding one or more of the manually entered health-related data for the user, the automatically collected health-related data for the user, and the medical test results for the user, wherein the one or more longitudinal trends include a longitudinal trend of a weight of the user that indicates that the user gains weight during a particular season,(vii) adding an indication of the one or more longitudinal trends to the comprehensive health profile for the user, and(viii) determining, by the analytics engine, a seasonal diet and exercise recommendation for the user based on the longitudinal trend; and

    upon a request made on behalf of the user, providing, by the server device, part of the comprehensive health profile, including a result of the goodness-of-fit tests or the seasonal diet and exercise recommendation, to the user.

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