Home Patent Forecast® Sectors Log In   Contact  
How it works Patent Forecast® Sectors Insights
Menu
Enjoy your FREE PREVIEW which shows only 2022 data and 25 documents. Contact Patent Forecast for full access.        

AI Biotech/Diagnostics: Cardio


  1. Home
  2. News and Insights
  3. Companies
  4. Patents
  5. Applications
  6. Visualization
  7. Download
  8. Subscribe
  9. History
  1. Home
  2. Menu
  3. Patents

Search All Patents in AI Biotech/Diagnostics: Cardio


Patent US10216909


Issued 2019-02-26

Health Monitoring

Technical solutions are described for monitoring health of a user by a healthcare system. An example computer-implemented method includes accessing a current image of the user. The computer-implemented method also includes determining a healthcare routine for the user. The computer-implemented method also includes generating a modified image of the user, where the modified image includes a predicted effect of the healthcare routine. The computer-implemented method also includes displaying, for viewing by the user, the modified image, and information about the healthcare routine.



Much More than Average Length Specification


View the Patent Matrix® Diagram to Explore the Claim Relationships

USPTO Full Text Publication >

3 Independent Claims

  • 1. A system for monitoring a health of a user, the system comprising: an image capture device configured to capture multispectral images; a memory; and a processor coupled with the memory and the image capture device, wherein the processor is configured to: in response to an occurrence of a scheduled activity time of the user: determine a geographic location of the user; and select a first exercise routine for the user from a list of exercise routines that is specifically populated for the user based on a health record of the user, the first exercise routine is selected based on a key performance indicator of the first exercise routine being the maximum among the exercise routines from the list of exercise routines, the key performance indicator based on the geographic location; receive activity-tracking data of the user from a wearable computing device; determine a calorie outtake of the user based on the activity-tracking data, which includes calories used for the first exercise routine; in response to an occurrence of a scheduled eating time of the user: determine a geographic location of the user; determine a number of calories to be consumed by the user based on the calorie outtake of the user; and identify an eating place for the user within a predetermined vicinity of the geographic location, the eating place serving a food-item with the number of calories to be consumed by the user; capture a multispectral image of a food-item; determine a caloric-value of the food-item based on the multispectral image of the food-item; output the caloric-value of the food-item as calorie-intake of the user; access a current image of the user that comprises a picture of a body of the user; generate a modified image of the user, wherein the modified image of the user reflects a predicted change in the body of the user based on the calorie-intake caused by consuming the food-item using a metabolic model of the user based on health records of the user; and display the modified image of the user.

  • 9. A computer program product for monitoring a health of a user, the computer program product comprising a non-transitory computer readable storage medium, the computer readable storage medium comprising computer executable instructions, wherein the computer readable storage medium comprises instructions to: in response to an occurrence of a scheduled activity time of the user: determine a geographic location of the user; and select a first exercise routine for the user from a list of exercise routines that is specifically populated for the user based on a health record of the user, the first exercise routine is selected based on a key performance indicator of the first exercise routine being the maximum among the exercise routines from the list of exercise routines, the key performance indicator based on the geographic location; receive activity-tracking data of the user from a wearable computing device; determine a calorie outtake of the user based on the activity-tracking data, which includes calories used for the first exercise routine; in response to an occurrence of a scheduled eating time of the user: determine a geographic location of the user; determine a number of calories to be consumed by the user based on the calorie outtake of the user; and identify an eating place for the user within a predetermined vicinity of the geographic location, the eating place serving a food-item with the number of calories to be consumed by the user; capture a multispectral image of a food-item; determine a caloric-value of the food-item based on the multispectral image of the food-item; and output the caloric-value of the food-item as calorie-intake of the user; determine a calorie-outtake of the user based on monitored physical activity of the user; access a current image of the user that comprises a picture of a body of the user; generate a modified image of the user using a metabolic model of the user, wherein the modified image of the user reflects a predicted change in the body of the user based on a difference in the calorie-intake caused by consuming the food-item and the monitored physical activity of the user, the metabolic model determines the predicted change using current measurements of a body mass index and a muscle/fat composition of the user and empirical health records of the user; and display the modified image of the user.

  • 15. A computer-implemented method for monitoring a health of a user, the method comprising: in response to an occurrence of a scheduled activity time of the user: determining a geographic location of the user; and selecting a first exercise routine for the user from a list of exercise routines that is specifically populated for the user based on a health record of the user, the first exercise routine is selected based on a key performance indicator of the first exercise routine being the maximum among the exercise routines from the list of exercise routines, the key performance indicator based on the geographic location; receiving activity-tracking data of the user from a wearable computing device; determining a calorie outtake of the user based on the activity-tracking data, which includes calories used for the first exercise routine; in response to an occurrence of a scheduled eating time of the user: determining a geographic location of the user; determining a number of calories to be consumed by the user based on the calorie outtake of the user; and identifying an eating place for the user within a predetermined vicinity of the geographic location, the eating place serving a food-item with the number of calories to be consumed by the user; determining a caloric-value of a food-item based on a multispectral image of the food-item; measuring a weight of the food-item; determining a calorie-intake of the user based on the weight and caloric-value of the food-item; determine a calorie-outtake of the user based on monitored physical activity of the user; generating a modified image of the user, wherein the modified image reflects a predicted change in a portrait of the user caused by a difference in the calorie-intake from the food-item and the monitored physical activity of the user, the predicted change is determined using a metabolic model of the user based on health records of the user; and displaying the modified image of the user.