CAMERAS FOR EMERGENCY RESCUE

• US 20140342331A1
• Filed: 11/08/2013
• Published: 11/20/2014
• Est. Priority Date: 05/17/2013
• Status: Active Grant

• Current Assignee: Zoll Medical Corporation (Asahi Kasei Corporation)
• Original Assignee: Zoll Medical Corporation (Asahi Kasei Corporation)
• Inventors: Freeman, Gary A.
• Granted Patent: US 10,420,701 B2
• Time in Patent Office: Days
• US Class Current: 434/265
• CPC Class Codes: A61H 31/005 with feedback for the user
• CPC Class Codes: A61N 1/3993 User interfaces for automatic external defibrillators
• CPC Class Codes: G06T 15/205 Image-based rendering
• CPC Class Codes: G06T 2207/10052 Images from lightfield camera
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/50 Depth or shape recovery
• CPC Class Codes: G06V 40/161 Detection; Localisation; Normalisation
• CPC Class Codes: G09B 23/288 for artificial respiration or heart massage
• CPC Class Codes: H04N 23/54 Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
• CPC Class Codes: H04N 23/698 for achieving an enlarged field of view, e.g. panoramic image capture

Abstract

A system includes a processor coupled to a memory. The processor and memory are configured to receive, from one or more cameras, multiple images of a victim undergoing a resuscitation event at a rescue scene; generate a representation of the rescue scene based on the received images; and determine a characteristic associated with the resuscitation event based on an analysis of the of the rescue scene.

Claims

1. A system comprising:

a processor coupled to a memory, the processor and memory configured to;

receive, from one or more cameras, multiple images of a victim undergoing a resuscitation event at a rescue scene;

generate a representation of the rescue scene based on the received images; and

determine a characteristic associated with the resuscitation event based on an analysis of the of the rescue scene.

2. The system of claim 1, wherein the representation of the rescue scene is a three-dimensional representation.

3. The system of claim 1, wherein generating the representation of the rescue scene includes removing information sufficient to identify the victim from the representation.

4. The system of claim 3, wherein removing information sufficient to identify the victim includes one or more of blurring facial features associated with the victim, removing facial features associated with the victim, and replacing a portion of a face associated with the victim with an anonymous representation of the victim.

5. The system of claim 1, wherein the processor and the memory are configured to detect a face of the victim based on at least one of an analysis of the images and an analysis of the representation of the rescue scene.

6. The system of claim 1, wherein the processor and the memory are configured to identify one or more objects at the rescue scene based on at least one of an analysis of one or more of the images and an analysis of the representation of the rescue scene.

7. The system of claim 1, wherein the representation includes an animated representation of the rescue scene.

8. The system of claim 1, wherein the processor and the memory are configured to determine a message for a rescuer based on the determined characteristic associated with the resuscitation event.

9. The system of claim 8, wherein the message includes information indicative of at least one of a medical status of the victim and a performance of one or more of the rescuers.

10. The system of claim 8, wherein the message includes at least one of a visual message and an audio message.

11. The system of claim 1, wherein determining a characteristic associated with the resuscitation event includes determining a task associated with each of multiple rescuers.

12. The system of claim 11, wherein the processor and the memory are configured to determine a message for a particular one of the rescuers based on the determined task associated with the particular one of the rescuers.

13. The system of claim 1, wherein determining a characteristic associated with the resuscitation event includes determining the characteristic while the victim is undergoing the resuscitation event.

14. The system of claim 1, wherein determining a characteristic associated with the resuscitation event includes determining a characteristic after the resuscitation event is finished.

15. The system of claim 1, wherein determining a characteristic associated with the resuscitation event includes determining a relative position of the victim and one of the rescuers at the rescue scene.

16. The system of claim 1, wherein determining a characteristic associated with the resuscitation event includes determining at least one of a rate and a depth of compressions delivered to the victim by a rescuer.

17. The system of claim 1, wherein determining a characteristic associated with the resuscitation event includes determining a metric indicative of at least one of an accuracy and an efficiency of a rescuer at the rescue scene.

18. The system of claim 1, wherein at least one of the one or more cameras is mounted on a rescuer at the rescue scene.

19. The system of claim 1, further comprising a wearable computing device that includes at least one of the one or more cameras.

20. The system of claim 1, wherein at least one of the one or more cameras is mounted on a medical device at the rescue scene.

21. A method comprising:

receiving, from one or more cameras, multiple images of a victim undergoing a resuscitation event at a rescue scene;

generating a representation of the rescue scene based on the received images; and

determining a characteristic associated with the resuscitation event based on an analysis of the of the rescue scene.

22. The method of claim 21, wherein the representation of the rescue scene is a three-dimensional representation.

23. The method of claim 21, wherein generating the representation of the rescue scene includes removing information sufficient to identify the victim from the representation.

24. The method of claim 23, wherein removing information sufficient to identify the victim includes one or more of blurring facial features associated with the victim, removing facial features associated with the victim, and replacing a portion of a face associated with the victim with an anonymous representation of the victim.

25. The method of claim 21, wherein determining a characteristic associated with the resuscitation event includes determining a task associated with each of multiple rescuers.

26. The method of claim 25, comprising determining a message for a particular one of the rescuers based on the determined task associated with the particular one of the rescuers.

27. The method of claim 21, wherein determining a characteristic associated with the resuscitation event includes determining a relative position of the victim and one of the rescuers at the rescue scene.

28. The method of claim 21, wherein determining a characteristic associated with the resuscitation event includes determining at least one of a rate and a depth of compressions delivered to the victim by a rescuer.

29. The method of claim 21, wherein determining a characteristic associated with the resuscitation event includes determining a metric indicative of at least one of an accuracy and an efficiency of a rescuer at the rescue scene.

30. A computer readable medium storing instructions for causing a computing device to:

receive, from one or more cameras, multiple images of a victim undergoing a resuscitation event at a rescue scene;

generate a representation of the rescue scene based on the received images; and

determine a characteristic associated with the resuscitation event based on an analysis of the of the rescue scene.