Video monitoring system

• US 9,934,427 B2
• Filed: 12/22/2014
• Issued: 04/03/2018
• Est. Priority Date: 09/23/2010
• Status: Active Grant

• Current Assignee: Stryker Corporation
• Original Assignee: Stryker Corporation
• Inventors: Derenne, Richard A., DeLuca, Richard Thomas
• Primary Examiner(s): Le, Peter D
• Application Number:
  US14/578,630
• Publication Number:
  US 20150109442A1
• Time in Patent Office: 1,198 Days
• CPC Class Codes: A61B 5/0013 Medical image data A61B1/00011, A61B6/56, A61B8/56 take precedence
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1115 Monitoring leaving of a patient support, e.g. a bed or a wheelchair
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/6889 Rooms
• CPC Class Codes: A61B 5/6892 Mats
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G06F 16/78 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0476 Cameras to detect unsafe condition, e.g. video cameras
• CPC Class Codes: G08B 21/245 Reminder of hygiene compliance policies, e.g. of washing hands
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04N 7/185 : from a mobile camera, e.g. for remote control

Abstract

A monitoring system includes cameras adapted to capture images and depth data of the images. A computer device processes the image signals and depth data from the cameras according to various software modules that monitor one or more of the following: (a) compliance with patient care protocols; (b) patient activity; (c) equipment usage; (d) the location and/or usage of assets; (e) patient visitation metrics; (f) data from other sensors that is integrated with the image and depth data; (g) gestures by the patient or caregivers that are used as signals or for controls of equipment, and other items. Alerts may be issued if any conditions of importance are detected.

Claims

1. A monitoring system comprising:

a camera adapted to capture images of at least a portion of a person support apparatus and output image data representative of the images;

a database containing fall prevention protocol data, the fall prevention protocol data defining a condition to be met by a caregiver prior to an occupant exiting the person support apparatus in order to reduce a fall risk of the occupant;

a user interface in communication with the database, the user interface adapted to allow the caregiver to enter a fall risk assessment of the occupant into the database, the fall risk assessment comprising a numeric scale generated from scores associated with a plurality of risk factors; and

a computer device in communication with the camera and the database, the computer device adapted to;

(1) use the image data to generate a score for at least one of the fall risk factors, (2) compare the score generated by the computer device to a corresponding score entered by the caregiver as part of the fall risk assessment, (3) issue an alert if the score generated by the computer device differs from the score entered by the caregiver by more than a predetermined amount, and (4) analyze the image data to determine if the condition has been met only if the fall risk assessment meets a threshold.

2. The monitoring system of claim 1 wherein the fall prevention protocol data includes a plurality of conditions to be met by the caregiver prior to the occupant exiting the person support apparatus, and wherein the computer device analyzes the image data to determine if all of the plurality of conditions have been met.

3. The monitoring system of claim 2 wherein the computer device is adapted to communicate an alert to the caregiver of the occupant if any one of the conditions has not been met.

4. The monitoring system of claim 1 wherein the computer device automatically determines if the conditions have been met if the fall risk assessment of the occupant has not been entered into the database.

5. The monitoring system of claim 1 wherein the condition is met if at least one of the following occurs:

multiple siderails of the person support apparatus are raised;

a fall risk indicator is present within a vicinity of the person support apparatus;

a personal object is within reach of the occupant;

no obstacles are present on a pathway from the persons support apparatus to a restroom, a height of the person support apparatus is below a threshold;

the occupant is wearing anti-slip footwear; and

a brake of the person support apparatus is activated.

6. The monitoring system of claim 1 wherein one of the fall risk factors is an IV/Heparin lock factor and the computer device scores the IV/Heparin lock factor with a first value if an IV/Heparin lock is being used with the occupant, and the computer device scores the IV/Heparin lock factor with a second value if no IV/Heparin lock is being used with the occupant.

7. The monitoring system of claim 1 wherein one of the fall risk factors is a gait factor and the computer device scores the gait factor with a first value if the occupant has a weak gait, and the computer device scores the gait factor with a second value if the occupant has a normal gait.

8. The monitoring system of claim 1 wherein the computer device is further adapted to repetitively generate the score for the at least one of the fall risk factors and provide notification if the score changes by more than a threshold.

9. The monitoring system of claim 1 wherein the computer device is further adapted to identify a location of the occupant'"'"'s face in the image data and automatically blur that location in the image data.

10. A monitoring system comprising:

a camera adapted to capture images of at least a portion of a person support apparatus and output image data representative of the images;

a database containing an exit detection algorithm for detecting, based on the image data, when an occupant of the person support apparatus may be about to exit the person support apparatus, the algorithm including at least one occupant movement threshold used in determining whether to issue an exit detection alert; and

a computer device in communication with the camera and the database, the computer device adapted to analyze the image data to determine if the occupant is engaged in at least one of eating and sleeping, and the computer device is further adapted to increase the threshold if the computer device determines that the occupant is so engaged, thereby requiring greater movement before the exit detection alert is issued.

11. The monitoring system of claim 10 wherein the computer device is further adapted to determine whether the person support apparatus is a chair or a bed based upon attribute data regarding a shape of a chair and a shape of a bed stored in the database.

12. The monitoring system of claim 11 wherein the database contains multiple exit detection algorithms, a first one of the multiple exit detection algorithms used when the person support apparatus is a chair, and a second one of the multiple exit detection algorithms used when the person support apparatus is a bed, and wherein the computer device is further adapted to select the first or second exit detection algorithm based upon whether the person support apparatus is a chair or bed.

13. The monitoring system of claim 10 wherein the computer device is located remotely from the person support apparatus, and the computer device is adapted to, when issuing the exit detection alert, transmit an exit detection message to the person support apparatus.

14. The monitoring system of claim 10 wherein the computer device is in communication with a clock and the computer device is adapted to change the threshold based upon a time of day.

15. The monitoring system of claim 10 wherein the database includes attribute data regarding a shape of an overbed table, and the computer device is adapted to utilize the attribute data to determine a position of the overbed table relative to the person support apparatus and to change the threshold based upon the position of the overbed table relative to the person support apparatus.

16. A monitoring system comprising:

a camera adapted to capture images of at least a portion of a person support apparatus and an occupant thereof, the camera adapted to output image data representative of the images; and

a computer device in communication with the camera and adapted to analyze the image data to determine if the following conditions are met;

(1) the occupant may be about to exit the person support apparatus, and (2) the occupant is standing;

the computer device further adapted to issue a first alert if the first condition is met and to issue a second alert if the second condition is met, the first alert being different from the second alert.

17. The monitoring system of claim 16 wherein the computer device is further adapted to determine if the occupant is walking and to issue a third alert if the occupant is walking, the third alert being different from both the first and second alerts.

18. The monitoring system of claim 16 wherein the computer device is in communication with the person support apparatus and adapted to transmit a first alert message to the person support apparatus when issuing the first alert and to transmit a second alert message to the person support apparatus when issuing the second alert.

19. The monitoring system of claim 16 wherein the computer device is in communication with a nurse call system and adapted to transmit a first alert message to the nurse call system when issuing the first alert and to transmit a second alert message to the nurse call system when issuing the second alert.

20. The monitoring system of claim 16 wherein the computer device is further adapted to analyze the image data to detect a presence of a caregiver and to stop the first or second alert after detecting the presence of the caregiver.

21. The monitoring system of claim 20 wherein stopping the first or second alert includes transmitting an alert silence message to the person support apparatus, and the person support apparatus reduces a volume of an alert sound in response thereto.

22. The monitoring system of claim 16 wherein the computer device is further adapted to determine if the occupant has fallen and to issue a third alert if the occupant has fallen, the third alert being different from both the first and second alerts.

23. The monitoring system of claim 22 wherein, if the occupant has fallen, the computer device is further adapted to determine how the occupant landed.

24. The monitoring system of claim 22 wherein, if the occupant has fallen, the computer device is further adapted to automatically retain the image data gathered over a range of time, the range of time extending from a moment prior to the fall to a moment after the fall.

25. The monitoring system of claim 22 wherein, if the occupant has fallen, the computer device is adapted to tag the image data corresponding to the fall with a plurality of parameters.

26. The monitoring system of claim 25 wherein the plurality of parameters includes at least one of the following:

an identification of what protocols were in place during the fall, where in the room the fall occurred, what activity the occupant was engaged in when the fall occurred, and how much time passed between the occupant exiting the person support apparatus and the fall.