METHOD AND APPARATUS FOR MITIGATING BEHAVIOR ADVERSE TO A BIOLOGICAL CONDITION

• US 20180035953A1
• Filed: 08/04/2016
• Published: 02/08/2018
• Est. Priority Date: 08/04/2016
• Status: Active Grant

• Current Assignee: Welch Allyn Incorporated
• Original Assignee: Welch Allyn Incorporated
• Inventors: Quinn, David E., Stebbins, Kristen, Lane, John A., Meyerson, Craig M., Montambeau, Elaine C.
• Granted Patent: US 10,791,994 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/4266 sweat secretion
• CPC Class Codes: A61B 5/6833 Adhesive patches
• CPC Class Codes: 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
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Aspects of the subject disclosure may include, for example, a system for receiving sensor data associated with a monitored individual, generating from the sensor data an activity profile of the monitored individual, generating comparison data by comparing the activity profile of the monitored individual to a target activity profile, detecting from the comparison data, an activity of the one or more of activities performed by the monitored individual that can adversely affect a biological condition of the monitored individual, and submitting a notification to equipment utilized by an advisor of the monitored individual. Other embodiments are disclosed.

Claims

1. A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

obtaining a behavioral profile of a monitored individual to advise the monitored individual;

identifying a behavior category according to the behavioral profile of the monitored individual;

identifying, according to the behavior category, an advisor in a first entry in a database;

receiving, from a plurality of sensors, first sensor data associated with the monitored individual;

generating from the first sensor data an activity profile of the monitored individual, the activity profile including data associated with a plurality of activities performed by the monitored individual;

generating comparison data by comparing the activity profile of the monitored individual to a target activity profile;

detecting, from the comparison data, a first activity of the plurality of activities performed by the monitored individual that can adversely affect a biological condition of the monitored individual; and

responsive to the detecting, submitting a notification to first equipment utilized by the advisor, the notification presented at the first equipment with a selectable option to initiate a communication session with second equipment utilized by the monitored individual.

2. The machine-readable storage medium of claim 1, wherein the notification includes information associated with the first activity.

3. The machine-readable storage medium of claim 1, wherein the operations further comprise identifying a mitigation strategy to adjust the first activity.

4. The machine-readable storage medium of claim 3, wherein the notification includes one or more instructions associated with the mitigation strategy, the one or more instructions presented at the first equipment.

5. The machine-readable storage medium of claim 3, wherein the mitigation strategy comprises identifying a second activity that correlates to the first activity, and wherein the data associated with the mitigation strategy comprises instructions to adjust the second activity.

6. The machine-readable storage medium of claim 1, wherein the operations further comprise receiving a request from the first equipment utilized by the advisor, wherein the request is sent by the first equipment responsive to the selectable option being selected.

7. The machine-readable storage medium of claim 6, wherein the operations further comprise facilitating initiation of a communication session between the first equipment utilized by the advisor and the second equipment utilized by the monitored individual responsive to receiving the request.

8. The machine-readable storage medium of claim 1, wherein the first sensor data comprises image data associated with the individual, audio data associated with the individual, location data associated with the individual, activity data associated with the individual, or any combinations thereof.

9. The machine-readable storage medium of claim 1, wherein the detecting predicts that the first activity can adversely affect the biological condition of the individual, and wherein the biological condition has not occurred at a time of the detecting.

10. The machine-readable storage medium of claim 1, wherein the operations further comprise determining from second sensor data obtained from the plurality of sensors whether the first activity has been adjusted.

11. The machine-readable storage medium of claim 10, wherein the determining comprises:

determining a measure of adjustment of the first activity according to the second sensor data; and

comparing the measure of adjustment to a target adjustment.

12. The machine-readable storage medium of claim 11, wherein the operations further comprise:

monitoring one or more messages sent from the first equipment of the advisor to the second equipment of the monitored individual; and

determining, according to the comparing, an effectiveness of the one or more messages causing the monitored individual to adjust the first activity.

13. The machine-readable storage medium of claim 11, wherein the operations further comprise adjusting a resource of the second equipment utilized the monitored individual, adjusting a service accessible by the second equipment utilized the monitored individual, or a combination thereof according to the comparing.

14. The machine-readable storage medium of claim 11, wherein the operations further comprise identifying, according to the behavior category, an alternative advisor in a first entry in a database responsive to the measure of adjustment not conforming to the target adjustment.

15. The machine-readable storage medium of claim 11, wherein the operations further comprise identifying, according to the behavior category, an alternative advisor in a first entry in a database responsive to receiving from the second equipment of the monitored individual an unfavorable rating associated with the advisor.

16. The machine-readable storage medium of claim 1, wherein the operations further comprise:

identifying a mitigation strategy to adjust the first activity;

sending data associated with the mitigation strategy to the second equipment utilized by the monitored individual; and

responsive to the sending, determining from second sensor data obtained from the plurality of sensors whether the first activity has been adjusted.

17. A system, comprising:

a processor; and

a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising;

identifying, according to a behavior of a monitored individual, a first peer group to advise the monitored individual;

receiving, from a plurality of sensors, first sensor data associated with the monitored individual;

generating from the first sensor data an activity profile of the monitored individual, the activity profile including data associated with one or more activities performed by the monitored individual;

generating comparison data by comparing the activity profile of the monitored individual to a target activity profile;

detecting, from the comparison data, an activity of the one or more of activities performed by the monitored individual that can adversely affect a biological condition of the monitored individual; and

responsive to the detecting, submitting a notification to one or more communication devices utilized by the first peer group.

18. The system of claim 17, wherein the operations further comprise identifying a second peer group responsive to determining from user-generated input supplied by equipment utilized by the monitored individual or second sensor data received obtained from the plurality of sensors that the first peer group has not effectively adjusted the activity that can adversely affect the biological condition of the monitored individual.

19. A method, comprising:

receiving, from a system including a processor, sensor data associated with a monitored individual, the sensor data supplied by a plurality of sensors;

generating, by the system, from the sensor data an activity profile of the monitored individual, the activity profile including data associated with one or more activities performed by the monitored individual;

generating, by the system, comparison data by comparing the activity profile of the monitored individual to a target activity profile;

detecting, by the system, from the comparison data, an activity of the one or more of activities performed by the monitored individual that can adversely affect a biological condition of the monitored individual; and

responsive to the detecting, submitting, by the system, a notification to first equipment utilized by an advisor of the monitored individual.

20. The method of claim 19, wherein the advisor comprises an artificial intelligence machine, a plurality of individuals associated with a peer group, or any combinations thereof.