# US 10,478,131 B2 · Determining baseline contexts and stress coping capacity

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- Number: US 10,478,131 B2
- Document ID: US10478131B2
- Status: Granted
- Kind: B2
- Application number: 15/183,472
- Filed: 2016-06-15
- Published: 2017-03-16
- Granted: 2019-11-19
- Earliest claimed: 2015-07-16
- Assignees: Samsung Electronics Co., Ltd.
- Applicants: Samsung Electronics Company, Ltd.
- Inventors: Jawahar Jain; James Young; Cody Wortham; Sajid Sadi; Pranav Mistry
- Web page: https://patentgrep.com/patent/US10478131B2

## CPC

- A61B 5/7278: {Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals}
- A61B 5/0006: {ECG or EEG signals}
- A61B 5/0013: {Medical image data (A61B1/00011, A61B6/56, A61B8/56 take precedence)}
- A61B 5/0022: {Monitoring a patient using a global network, e.g. telephone networks, internet}
- A61B 5/02405: {Determining heart rate variability}
- A61B 5/02416: {using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence)}
- A61B 5/02438: {with portable devices, e.g. worn by the patient}
- A61B 5/0533: Measuring galvanic skin response
- A61B 5/165: {Evaluating the state of mind, e.g. depression, anxiety}
- A61B 5/352: Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
- A61B 5/486: {Biofeedback (using electroencephalography [EEG] A61B5/375)}
- A61B 5/4884: {inducing physiological or psychological stress, e.g. applications for stress testing}
- A61B 5/7203: {for noise prevention, reduction or removal}
- A61B 5/7225: {Details of analogue processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation (input circuits for detecting, measuring, or recording bioelectric or biomagnetic signals A61B5/30; specific diagnostic methods using bioelectric or biomagnetic signals A61B5/316)}
- A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor}
- A61B 5/7282: {Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818)}
- A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms}
- G16H 40/60: for the operation of medical equipment or devices
- G16H 40/63: for local operation
- G16H 40/67: for remote operation
- A61B 5/681: {Wristwatch-type devices}
- A61B 5/6833: {Adhesive patches}
- A61B 5/7257: {using Fourier transforms}
- A61B 5/7405: {using sound}
- A61B 5/742: {using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339)}
- A61B 5/7455: {characterised by tactile indication, e.g. vibration or electrical stimulation}
- A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick}
- A61B 2503/10: Athletes
- A61B 2560/0209: adapted for power saving
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## 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.

## Claims

### Claim 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.

### Claim 2 (depends on 1)

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.

### Claim 3 (depends on 1)

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.

### Claim 4 (depends on 3)

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

### Claim 5 (depends on 1)

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

### Claim 6 (depends on 1)

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

### Claim 7 (depends on 6)

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.

### Claim 8 (depends on 1)

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

### Claim 9 (depends on 1)

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

### Claim 10 (depends on 1)

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.

### Claim 11 (depends on 10)

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

### Claim 12 (depends on 10)

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.

### Claim 13 (depends on 1)

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.

### Claim 14 (depends on 1)

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.

### Claim 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.

### Claim 16 (depends on 15)

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

### Claim 17 (depends on 16)

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.

### Claim 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 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.

### Claim 19 (depends on 18)

The system of claim 18, wherein the health characteristic corresponds to an estimated stress level of the user.

### Claim 20 (depends on 19)

The system of claim 19, 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.