Determining baseline contexts and stress coping capacity

Patent metadata

Field	Value
Publication number	US-10478131-B2
Application number	US-201615183472-A
Country	US
Kind code	B2
Filing date	Jun 15, 2016
Priority date	Jul 16, 2015
Publication date	Nov 19, 2019
Grant date	Nov 19, 2019

Abstract

A method for monitoring a health characteristic of a user based on one or more biological measurements may include selecting a context from a plurality of contexts, each context corresponding to a baseline health value, and each context being defined by a plurality of recorded events each comprising one or more of repeated biological states, repeated user activity, or space-time coordinates of the user, and then monitoring the health characteristic of the user based on one or more bio-sensing measurements in comparison to the baseline health value corresponding to the selected context.

First claim

What is claimed is:

1. A method for monitoring a health characteristic of a user based on one or more biological measurements, comprising:
determining a current context of a user;
accessing a plurality of contexts for the user, wherein:
each of the plurality of contexts identifies a context-specific baseline health value; and
each of the plurality of contexts is defined at least in part by a plurality of recorded events each comprising one or more of repeated biological states, repeated user activity, or space-time coordinates of the user;

identifying from the plurality of contexts a predefined user context corresponding to the current context of the user;
monitoring the health characteristic of the user based on one or more bio-sensing measurements in comparison to the context-specific baseline health value corresponding to the identified predefined user context;
detecting, based on monitoring the health characteristic, a plurality of event pairs, each event pair comprising:
a first event corresponding to the health characteristic of the user being within a first pre-defined variability zone; and
a second event corresponding to the health characteristic of the user being within a second pre-defined variability zone;

determining, for each event pair, an amount of time between the first and second event; and
determining a context-specific health-resiliency measurement specific to the user, the identified predefined user context, and the health characteristic by averaging over the plurality of event pairs the determined amount of time between the first and second events.

2. The method of claim 1 , wherein the one or more bio-sensing measurements comprises one or more health measurements received from one or more sensors of an electronic device of the user.

3. The method of claim 1 , wherein determining the current context of the user comprises:
receiving a plurality of current-context measurements from an electronic device of the user; and
determining the current context based on one or more of the received current-context measurements.

4. The method of claim 3 , wherein the current context is automatically determined by the electronic device of the user.

5. The method of claim 1 , wherein the context-specific baseline health value identified by each of the plurality of contexts is user-specific.

6. The method of claim 1 , wherein the health characteristic corresponds to an estimated stress level of the user.

7. The method of claim 6 , wherein the context-specific baseline health value corresponds to a baseline stress level of the user for that particular one of the plurality of contexts.

8. The method of claim 1 , wherein the health characteristic corresponds to an estimated heart rate of the user.

9. The method of claim 1 , wherein the health characteristic corresponds to an estimated heart-rate variability (HRV) of the user.

10. The method of claim 1 , further comprising:
generating a first context by identifying a pattern of repeated biological states or repeated activity of the user based on the bio-sensing measurements; and
determining a baseline health value associated with the first context.

11. The method of claim 10 , wherein an electronic device of the user automatically generates the first context based on the identified patterns.

12. The method of claim 10 , wherein an electronic device of the user automatically detects one or more new contexts that are different than any of the plurality of contexts.

13. The method of claim 1 , wherein the health characteristic is stored on an electronic device of the user or on another device associated with the electronic device.

14. The method of claim 1 , wherein:
the health characteristic corresponds to an estimated stress level of the user;
the first event is associated with a stress event;
the second event is associated with a relaxation event; and
the health-resiliency measurement is a measurement of the amount of time it takes for the user to recover from the stress event to the relaxation event.

15. One or more computer-readable non-transitory storage media embodying software for monitoring a health characteristic of a user based on one or more biological measurements, that is operable when executed to:
determine a current context of a user;
access a plurality of contexts for the user, wherein:
each of the plurality of contexts identifies a context-specific baseline health value; and
each of the plurality of contexts is defined at least in part by a plurality of recorded events each comprising one or more of repeated biological states, repeated user activity, or space-time coordinates of the user;

identify from the plurality of contexts a predefined user context corresponding to the current context of the user;
monitor the health characteristic of the user based on one or more bio-sensing measurements in comparison to the context-specific baseline health value corresponding to the identified predefined user context;
detect, based on monitoring the health characteristic, a plurality of event pairs, each event pair comprising:
a first event corresponding to the health characteristic of the user being within a first pre-defined variability zone; and
a second event corresponding to the health characteristic of the user being within a second pre-defined variability zone;

determine, for each event pair, an amount of time between the first and second event; and
determine a context-specific health-resiliency measurement specific to the user, the identified predefined user context, and the health characteristic by averaging over the plurality of event pairs the determined amount of time between the first and second events.

16. The media of claim 15 , wherein the health characteristic corresponds to an estimated stress level of the user.

17. The media of claim 16 , wherein:
the first event is associated with a stress event;
the second event is associated with a relaxation event; and
the health-resiliency measurement is a measurement of the amount of time it takes for the user to recover from the stress event to the relaxation event.

18. A system comprising: one or more processors; and a non-transitory memory coupled to the processors comprising instructions executable by the processors for monitoring a health characteristic of a user based on one or more biological measurements, the processors operable when executing the instructions to:
determine a current context of a user;
access a plurality of contexts for the user, wherein:
each of the plurality of contexts identifies a context-specific baseline health value; and
each of the plurality of contexts is defined at least in part by a plurality of recorded events each comprising one or more of repeated biological states, repeated user activity, or space-time coordinates of the user;

identify from the plurality of contexts a predefined user context corresponding to the current context of the user;
monitor the health characteristic of the user based on one or more bio-sensing measurements in comparison to the context-specific baseline health value corresponding to the identified predefined user context;
detect, based on monitoring the health characteristic, a plurality of event pairs, each event pair comprising:
a first event corresponding to the health characteristic of the user being within a first pre-defined variability zone; and
a second event corresponding to the health characteristic of the user being within a second pre-defined variability zone;

determine, for each event pair, an amount of t

Assignees

• Samsung Electronics Co Ltd

Inventors

• Jain Jawahar
• Young James
• Wortham Cody
• Sadi Sajid
• Mistry Pranav

Classifications

• A61B5/02416 Primary

  using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence) · CPC title

• A61B5/742

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

• A61B5/7405

  using sound · CPC title

• A61B5/6833

  Adhesive patches · CPC title

• A61B5/7203

  for noise prevention, reduction or removal · CPC title