IP Library Granted Patent US 11,495,110
Granted Patent B2
US 11,495,110 · App. 16/900,350 · Granted Nov 8, 2022

Systems and methods for detecting a medical emergency event

Inventor: Jason Victor (San Francisco, CA)
Assignee: BLUEOWL, LLC
G08B21/043H04W4/90H04W4/026H04W4/027
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Quick Facts
Patent No.
US 11,495,110
App. No.
16/900,350
Filed
Jun 12, 2020
Granted
Nov 8, 2022
Kind
B2
Art Unit
2685
USPC
340/539.12
Abstract

A computer-implemented method for detecting medical emergency events may include, via one or more processors, data sensors, and/or transceivers: (1) obtaining sensor data indicative of kinetic actions of a user; (2) analyzing the sensor data to associate the sensor data with a one or more kinetic actions of the user; (3) comparing the one or more kinetic actions of the user with a model of kinetic actions to determine whether the one or more kinetic actions correspond with the model of kinetic actions, with the model being indicative of a medical emergency event; and (4) upon determining that the one or more kinetic actions correspond with the model, contacting medical emergency responders to request medical emergency services for the user. As such, medical emergency events being experienced by a user can be detected, and medical emergency responders may be quickly contacted to provide essential emergency medical services to the individual.

Claims (27)

1. A computer-implemented method for detecting medical emergency events, the computer-implemented method comprising:

analyzing sensor data, via one or more processing elements, to determine if a user has experienced a kinetic action in a form of the user falling to a ground and the user impacting the ground, wherein the kinetic action is indicated by one or more accelerometers measuring a plurality of quick, alternating changes in acceleration;

comparing, via the one or more processing elements, the kinetic action of the user with a model of kinetic actions to determine whether the kinetic action is indicative of a medical emergency event; and

upon determining that the kinetic action is indicative of the medical emergency event, contacting, via one or more transceivers, a medical emergency responder to request a medical emergency service for the user.

2. The computer-implemented method of claim 1 , wherein the sensor data comprises orientation data.

3. The computer-implemented method of claim 1 , wherein the sensor data comprises geolocation data.

4. The computer-implemented method of claim 1 , wherein the one or more processors comprises a processor of a mobile electronic device.

5. The computer-implemented method of claim 4 , wherein the mobile electronic device is selected from one of the following: a smartphone, a tablet, a phablet, smart glasses, and a smartwatch.

6. The computer-implemented method of claim 4 , wherein the mobile electronic device comprises a smartphone.

7. The computer-implemented method of claim 1 , wherein the model of kinetic actions comprises a sequential-action model.

8. The computer-implemented method of claim 7 , wherein the sequential-action model is representative of a sequence of kinetic actions.

9. The computer-implemented method of claim 8 , wherein the sequence of kinetic actions represented by the sequential-action model comprises the following:

the user falling to the ground, the user impacting the ground, and the user remaining motionless.

10. The computer-implemented method of claim 9 , wherein the kinetic action of falling to the ground represented by the sequential-action model includes falling under an acceleration having a magnitude that corresponds to earth's gravitational acceleration.

11. The computer-implemented method of claim 9 , wherein the kinetic action of impacting the ground represented by the sequential-action model includes impacting the ground with a specified impact force.

12. The computer-implemented method of claim 9 , wherein the kinetic action of remaining motionless represented by the sequential-action model includes remaining motionless for at least a predetermined period of time.

13. The computer-implemented method of claim 12 , wherein the predetermined period of time is 5 seconds.

14. The computer-implemented method of claim 1 , wherein the medical emergency event is selected from one or more of the following: a heart attack, a stroke, and a high-velocity impact.

15. The computer-implemented method of claim 7 , wherein the kinetic action of the user corresponds with the sequential-action model if the kinetic action of the user sequentially matches the kinetic actions represented by the sequential-action model.

16. The computer-implemented method of claim 1 , wherein the kinetic action of the user comprises the user falling to the ground and the user remaining motionless.

17. The computer-implemented method of claim 1 , wherein the kinetic action of the user comprises the user remaining motionless.

18. A system for detecting medical emergency events, said system comprising:

one or more data sensors configured to obtain sensor data indicative of kinetic actions of a user; and

a computing device comprising one or more processing elements and one or more transceivers, wherein said computing device is configured to—

analyze the sensor data, via the one or more processing elements, to determine if the user has experienced a kinetic action in a form of the user falling to a ground and the user impacting the ground, wherein the kinetic action is indicated by one or more accelerometers measuring a plurality of quick, alternating changes in acceleration;

compare, via the one or more processing elements, the kinetic action of the user with a model of kinetic actions to determine whether the kinetic actions is indicative of a medical emergency event; and

upon determining that the kinetic action is indicative of the medical emergency event, contact, via the one or more transceivers, a medical emergency responder to request a medical emergency service for the user.

Assignments (2)
CHANGE OF NAME Recorded May 29, 2024
From: BLUEOWL, LLC
To: QUANATA, LLC
Reel/Frame 067558/0600 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 19, 2021
From: VICTOR, JASON
To: BLUEOWL, LLC
Reel/Frame 056901/0189 →
Continuity (5)
Continuation 16682535 · Nov 13, 2019
Continuation 16405472 · May 7, 2019
Continuation 15961320 · Apr 24, 2018
Provisional Application 62491447 · Apr 28, 2017
Related Publication 20200312113A1 · Oct 1, 2020
Cited By (1)
US 12,573,283