TRIGGERED SENSOR DATA CAPTURE IN A MOBILE DEVICE ENVIRONMENT

• US 20180144100A1
• Filed: 11/18/2016
• Published: 05/24/2018
• Est. Priority Date: 11/18/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: CHALAS, Kathleen, FRY, Jonathan R., GSCHWIND, Michael, HOUSTON, John S., LEVENTHAL, Alexander C., TIDD, Cameron E., WINTER, Lahiruka S.
• Granted Patent: US 10,878,947 B2
• Time in Patent Office: Days
• CPC Class Codes: G08B 21/0453 worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G08B 25/08 using communication transmission lines G08B13/19658, G08B21/0286, G08B25/016 take precedence
• CPC Class Codes: G08B 25/10 using wireless transmission systems G08B25/009 takes precedence
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Triggered sensor data capture in a mobile device environment. A method monitors primary sensor data obtained from first wearable sensor device(s) to determine whether trigger condition(s) are met for triggering supplemental sensor data capture. Based on recognizing a health event, the method obtains health status input from a user, configures second wearable sensor device(s) to obtain supplemental sensor data that includes additional data in addition to the primary sensor data, and obtains the supplemental sensor data. The method provides the health status input and the obtained supplemental sensor data as correlated health event data of the health event for analysis. Based on the analysis, the method tunes at least one trigger condition of the trigger condition(s) to adjust a scope of supplemental sensor data capture.

Claims

1. A method comprising:

monitoring primary sensor data obtained from at least one first wearable sensor device of one or more wearable sensor devices to determine whether one or more trigger conditions are met for triggering supplemental sensor data capture;

based on recognizing a health event, obtaining self-perceived health status input from a user, configuring at least one second wearable sensor device of the one or more wearable sensor devices to obtain supplemental sensor data, the supplemental sensor data comprising additional data in addition to the primary sensor data, and obtaining the supplemental sensor data;

providing the self-perceived health status input and the obtained supplemental sensor data as correlated health event data of the health event for analysis; and

based on the analysis of the correlated health event data, tuning at least one trigger condition of the one or more trigger conditions to adjust a scope of supplemental sensor data capture.

2. The method of claim 1, wherein the health event comprises the user providing the self-perceived health status input, wherein the providing the self-perceived health status input by the user triggers the configuring the at least one second wearable sensor device and the obtaining the supplemental sensor data.

3. The method of claim 1, wherein the health event comprises determining that a trigger condition of the one or more trigger conditions has been met, and wherein the method further comprises prompting the user to provide the self-perceived health status input in response to at least one question soliciting the self-perceived health status input from the user, the at least one question selected based at least in part on the trigger condition.

4. The method of claim 3, wherein the determining that the trigger condition has been met uses reference data comprising at least one selected from the group consisting of:

medical history of the user, environmental factors, and a body of generally-accepted medical knowledge.

5. The method of claim 1, wherein a trigger condition of the one or more trigger conditions comprises one or more parameters, wherein the trigger condition is met based on the one or more parameters being satisfied.

6. The method of claim 5, wherein a parameter of the one or more parameters comprises a dynamic threshold, the dynamic threshold set dynamically based on statistical analysis of values of the primary sensor data, such that occurrence of a statistical outlier in the values of primary sensor data exceeds the dynamic threshold and satisfies the parameter.

7. The method of claim 1, further comprising, based on the analysis of the correlated health event data, creating or modifying a set of questions to solicit health status input from the user based on a trigger condition of the one or more trigger conditions being met.

8. The method of claim 1, wherein the health event is a first health event, and wherein the method further comprises:

recognizing a second health event based on a trigger condition of the one or more trigger conditions being met; and

based on determining that the second health event is recognized within a threshold amount of time after the recognizing the first health event, correlating the first health event and second health event as a single health event, wherein the obtained self-perceived health status input is associated with the single health event absent obtaining additional self-perceived health status input from the user until at least the threshold amount of time has lapsed.

9. The method of claim 1, further comprising determining a schedule for the providing the self-perceived health status input and the obtained supplemental sensor data, the schedule based at least in part on an urgency associated with the recognized health event.

10. A computer program product comprising:

a computer readable storage medium readable by a processor and storing instructions for execution by the processor for performing a method comprising;

monitoring primary sensor data obtained from at least one first wearable sensor device of one or more wearable sensor devices to determine whether one or more trigger conditions are met for triggering supplemental sensor data capture;

based on recognizing a health event, obtaining self-perceived health status input from a user, configuring at least one second wearable sensor device of the one or more wearable sensor devices to obtain supplemental sensor data, the supplemental sensor data comprising additional data in addition to the primary sensor data, and obtaining the supplemental sensor data;

providing the self-perceived health status input and the obtained supplemental sensor data as correlated health event data of the health event for analysis; and

based on the analysis of the correlated health event data, tuning at least one trigger condition of the one or more trigger conditions to adjust a scope of supplemental sensor data capture.

11. The computer program product of claim 10, wherein the health event comprises the user providing the self-perceived health status input, wherein the providing the self-perceived health status input by the user triggers the configuring the at least one second wearable sensor device and the obtaining the supplemental sensor data.

12. The computer program product of claim 10, wherein the health event comprises determining that a trigger condition of the one or more trigger conditions has been met, and wherein the method further comprises prompting the user to provide the self-perceived health status input in response to at least one question soliciting the self-perceived health status input from the user, the at least one question selected based at least in part on the trigger condition.

13. The computer program product of claim 10, wherein a trigger condition of the one or more trigger conditions comprises one or more parameters, wherein the trigger condition is met based on the one or more parameters being satisfied, and wherein a parameter of the one or more parameters comprises a dynamic threshold, the dynamic threshold set dynamically based on statistical analysis of values of the primary sensor data, such that occurrence of a statistical outlier in the values of primary sensor data exceeds the dynamic threshold and satisfies the parameter.

14. The computer program product of claim 10, wherein the method further comprises, based on the analysis of the correlated health event data, creating or modifying a set of questions to solicit health status input from the user based on a trigger condition of the one or more trigger conditions being met.

15. The computer program product of claim 10, wherein the health event is a first health event, and wherein the method further comprises:

recognizing a second health event based on a trigger condition of the one or more trigger conditions being met; and

based on determining that the second health event is recognized within a threshold amount of time after the recognizing the first health event, correlating the first health event and second health event as a single health event, wherein the obtained self-perceived health status input is associated with the single health event absent obtaining additional self-perceived health status input from the user until at least the threshold amount of time has lapsed.

17. The computer system of claim 10, wherein the health event comprises the user providing the self-perceived health status input, wherein the providing the self-perceived health status input by the user triggers the configuring the at least one second wearable sensor device and the obtaining the supplemental sensor data.

18. The computer system of claim 10, wherein the health event comprises determining that a trigger condition of the one or more trigger conditions has been met, and wherein the method further comprises prompting the user to provide the self-perceived health status input in response to at least one question soliciting the self-perceived health status input from the user, the at least one question selected based at least in part on the trigger condition.

19. The computer system of claim 10, wherein a trigger condition of the one or more trigger conditions comprises one or more parameters, wherein the trigger condition is met based on the one or more parameters being satisfied, and wherein a parameter of the one or more parameters comprises a dynamic threshold, the dynamic threshold set dynamically based on statistical analysis of values of the primary sensor data, such that occurrence of a statistical outlier in the values of primary sensor data exceeds the dynamic threshold and satisfies the parameter.

20. The computer system of claim 10, wherein the method further comprises, based on the analysis of the correlated health event data, creating or modifying a set of questions to solicit health status input from the user based on a trigger condition of the one or more trigger conditions being met.

16. A computer system comprising:

a memory; and

a processing unit in communication with the memory, wherein the computer system is configured to perform a method, the method comprising;

monitoring primary sensor data obtained from at least one first wearable sensor device of one or more wearable sensor devices to determine whether one or more trigger conditions are met for triggering supplemental sensor data capture;

based on recognizing a health event, obtaining self-perceived health status input from a user, configuring at least one second wearable sensor device of the one or more wearable sensor devices to obtain supplemental sensor data, the supplemental sensor data comprising additional data in addition to the primary sensor data, and obtaining the supplemental sensor data;

providing the self-perceived health status input and the obtained supplemental sensor data as correlated health event data of the health event for analysis; and

based on the analysis of the correlated health event data, tuning at least one trigger condition of the one or more trigger conditions to adjust a scope of supplemental sensor data capture.