Visual Monitoring System for Critical Conditions in Hospital Nursing Zones

Abstract

The present invention relates to a visual monitoring system for critical situations in hospital nursing partitions, comprising: a nurse station console for managing multiple camera execution terminals, and each camera execution terminal is responsible for monitoring a single different hospital bed partition. The nurse station console includes a voice playback device, a number display device, a wireless communication device, a liquid crystal display device, and a rescue box; a critical situation judgment device for obtaining respective reference visual intervals corresponding to respective bed image blocks corresponding to respective hospital beds in a real-time monitoring image of a certain hospital bed partition, and determining whether to issue a ward critical situation judgment instruction based on the mean square error values of the respective reference visual intervals. Through the present invention, a hardware platform for visual partition monitoring of a single nurse station for night duty can be built, and at the same time, according to the distribution state of the beds in the hospital bed partition, it can be determined whether there is a slight movement of the bed triggered by a patient, thereby reducing the probability of missed detection in high-risk scenarios.

Description

Technical Field

[0001] The present invention relates to the medical field, and in particular to a visual monitoring system for critical situations in hospital nursing partitions. Background Art

[0002] Digital image processing technology originated in the 1920s. At that time, a photograph was transmitted from London, UK to New York, USA via a submarine cable, and digital compression technology was adopted. First of all, digital image processing technology can help people understand the world more objectively and accurately. The human visual system can help humans obtain more than 3 / 4 of the information from the outside world, and images and graphics are the carriers of all visual information. Although the human eye has a high discrimination ability and can recognize thousands of colors, in many cases, the image is blurred or even invisible to the human eye. Through image enhancement technology, the blurred or even invisible image can be made clear and bright.

[0003] In the prior art, in a large-scale general hospital, a single nurse station on night duty usually needs to manage multiple ward partitions. The medical staff at the nurse station need to judge which patient in which ward partition has an abnormality through the emergency button pressed by the patient. Obviously, this triggering mechanism that highly depends on the patient's pressing has the probability and risk of delaying the patient's condition. Summary of the Invention

[0004] To solve the technical problems in the prior art, the present invention provides a visual monitoring system for critical situations in hospital nursing partitions, which builds a hardware platform for visual partition monitoring of a single nurse station on night duty. More importantly, it determines whether there is a slight movement of the bed triggered by the patient according to the distribution state of the beds in the ward partition, so as to add a more refined disposal channel for the identification of high-risk scenarios.

[0005] According to one aspect of the present invention, there is provided a visual monitoring system for critical situations in hospital nursing partitions, the system comprising:

[0006] A nurse station console for managing multiple camera execution terminals, and each camera execution terminal is responsible for monitoring a single different ward partition. Each ward partition is an independent enclosed room with a fixed number of multiple beds, and the multiple beds are evenly spaced in the corresponding enclosed room. The nurse station console includes a voice playback device, a number display device, a wireless communication device, a liquid crystal display device, and a rescue box body. The rescue box body includes a plurality of enclosed boxes for respectively placing a plurality of different types of medical rescue devices;

[0007] An evening identification component, provided at the nurse station console, for detecting whether the current time period is within the evening time interval, and accordingly sending an evening identification signal or a daytime identification signal;

[0008] The camera execution terminal is connected to the wireless communication device through a built-in wireless communication interface to obtain the evening identification signal or the daytime identification signal sent by the evening identification component, and when receiving the evening identification signal, performs a screen capture operation on the ward area responsible for monitoring to obtain a real-time monitoring screen;

[0009] The bed extraction device is set at the nurse station console and establishes a wireless communication connection with the camera execution terminal through the wireless communication device and the wireless communication interface, and is used for extracting each bed image block corresponding to each bed in the real-time monitoring screen;

[0010] The edge discrimination device is connected to the bed extraction device and is used for performing the following edge discrimination actions on every two adjacent bed image blocks: obtaining each pixel point constituting each bed image block and extracting a plurality of edge pixel points of the bed image block based on the position of each pixel point in the bed image block, taking the edge pixel points of one bed image block in the two adjacent bed image blocks as the first category pixel points, taking the edge pixel points of the other bed image block as the second category pixel points, obtaining the number of pixel points traversed by the shortest distance between any pair of first category pixel points and second category pixel points in the two adjacent bed image blocks, and taking the minimum value among the numbers of pixel points traversed corresponding to each pair of first category pixel points and second category pixel points as the reference visual interval between the two adjacent bed image blocks;

[0011] The danger situation judgment device is connected to the edge discrimination device and is used for obtaining the reference visual intervals corresponding to each bed image block corresponding to each bed in the real-time monitoring screen, and when the mean square deviation value of the reference visual intervals is greater than or equal to the set mean square deviation threshold, issuing a ward danger situation judgment instruction and issuing the number of the corresponding ward area.

[0012] It can be seen that the present invention has at least the following remarkable technical effects: (1) A zonal visual monitoring mechanism is introduced for the nurse station console that simultaneously controls multiple ward zones. When it is detected that there are position deviations in multiple beds arranged at default uniform intervals within a certain ward zone, the said ward zone is regarded as an abnormal ward zone and key monitoring and handling are performed; (2) Based on the distribution state of the edge pixel points of each bed within the same ward zone, it is determined whether each bed has deviated from the default layout with uniform intervals. Specifically, for every two adjacent bed image blocks, each pixel point that constitutes each bed image block is obtained, and multiple edge pixel points of the bed image block are extracted based on the position of each pixel point in the bed image block. The edge pixel points of one bed image block among the two adjacent bed image blocks are used as the first category of pixel points, and the edge pixel points of the other bed image block are used as the second category of pixel points. The number of pixel points traversed by the shortest distance between any pair of the first category of pixel points and the second category of pixel points in the two adjacent bed image blocks is obtained. The minimum value among the numbers of traversed pixel points corresponding to each pair of the first category of pixel points and the second category of pixel points is used as the reference visual interval between the two adjacent bed image blocks. At the same time, the reference visual intervals corresponding to each bed image block corresponding to each bed in the real-time monitoring screen are obtained. When the mean square error value of the reference visual intervals is greater than or equal to the set mean square error threshold, it is determined that the ward area is abnormal and the number of the corresponding ward zone is issued. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The following will describe the implementation embodiments of the present invention with reference to the drawings, where:

[0014] Figure 1 FIG. is a structural block diagram of a visual monitoring system for hospital nursing area crisis according to the first embodiment of the present invention.

[0015] Figure 2 FIG. is a structural block diagram of a visual monitoring system for hospital nursing area crisis according to the second embodiment of the present invention.

[0016] Figure 3 FIG. is a structural block diagram of a visual monitoring system for hospital nursing area crisis according to the third embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The following will refer to the drawings to describe in detail the implementation embodiments of the visual monitoring system for hospital nursing area crisis of the present invention.

[0018] The nurses' station, also known as the nurses' workbench, or the nurses' guidance desk or guidance desk. In English, it is "Nurses station". The nurses' station is the large front desk that people can directly see after entering the outpatient department of the hospital. It represents the image and grade of the hospital or medical institution, and should achieve the concept of being kind and elegant. The nurses' station is divided into three types: arc-shaped, U-shaped, and straight-line type.

[0019] The arc-shaped nurses' station is suitable for the lobby of the outpatient building of the hospital. The specifications are also divided into large and small. The small one is generally called the guidance desk. The U-shaped nurses' station is suitable for the lobby of the inpatient building of the hospital and other examination floors. The straight-line nurses' station is suitable for other floors above the second floor, or the ward floors in small spaces.

[0020] In the prior art, in a large-scale general hospital, a single nurses' station on night duty usually needs to manage multiple ward areas. The medical staff at the nurses' station need to judge which patient in which ward area has an abnormality through the emergency button pressed by the patient. Obviously, this triggering mechanism that relies heavily on the patient's pressing has the probability and risk of delaying the condition.

[0021] In order to overcome the above deficiencies, the present invention constructs a visual monitoring system for critical conditions in hospital nursing areas, which can effectively solve the corresponding technical problems.

[0022] The present invention has at least the following several significant technical effects: (1) Introduce a partition visual monitoring mechanism for the nurses' station console that simultaneously controls multiple ward areas. When it is detected that there is a position deviation in multiple beds arranged at default evenly spaced intervals in a certain ward area, regard the ward area as an abnormal ward area and perform key monitoring and disposal; (2) Judge whether each bed has deviated from the default layout of the original even interval based on the distribution state of the edge pixel points of each bed in the same ward area. Specifically, for every two adjacent bed image blocks, obtain each pixel point that constitutes each bed image block and extract multiple edge pixel points of the bed image block based on the position of each pixel point in the bed image block. Take the edge pixel points of one bed image block in the two adjacent bed image blocks as the first category of pixel points, and take the edge pixel points of the other bed image block as the second category of pixel points. Obtain the number of pixel points traversed by the shortest distance between any pair of first category pixel points and second category pixel points in the two adjacent bed image blocks. Take the minimum value among the respective traversed pixel point numbers corresponding to each pair of first category pixel points and second category pixel points as the reference visual interval between the two adjacent bed image blocks. At the same time, obtain the respective reference visual intervals corresponding to each bed image block corresponding to each bed in the real-time monitoring screen, and when the mean square error value of the respective reference visual intervals is greater than or equal to the set mean square error threshold, judge that the ward area is abnormal and issue the number of the corresponding ward area.

[0023] Figure 1 It is a structural block diagram of a visual monitoring system for hospital nursing area emergencies shown according to the first embodiment of the present invention. The system includes:

[0024] A nurse station console for managing multiple camera execution terminals, and each camera execution terminal is responsible for monitoring a single different hospital bed area. Each hospital bed area is an independent enclosed room with a fixed number of multiple hospital beds, and the multiple hospital beds are evenly spaced in the corresponding enclosed room. The nurse station console includes a voice playback device, a number display device, a wireless communication device, a liquid crystal display device, and a rescue box body. The rescue box body includes multiple enclosed boxes for respectively placing multiple different types of medical rescue devices;

[0025] An evening identification component, arranged at the nurse station console, for detecting whether the current time period is within the evening time interval, and accordingly sending an evening identification signal or a daytime identification signal;

[0026] A camera execution terminal, connected to the wireless communication device through a built-in wireless communication interface to obtain the evening identification signal or the daytime identification signal sent by the evening identification component, and when receiving the evening identification signal, performing a picture capture operation on the hospital bed area it is responsible for monitoring to obtain a real-time monitoring picture;

[0027] A bed body extraction device, arranged at the nurse station console and establishing a wireless communication connection with the camera execution terminal through the wireless communication device and the wireless communication interface, for extracting each bed image block corresponding to each hospital bed in the real-time monitoring picture;

[0028] An edge discrimination device, connected to the bed body extraction device, for performing the following edge discrimination actions on every two adjacent bed image blocks: obtaining each pixel point constituting each bed image block and extracting multiple edge pixel points of the bed image block based on the position of each pixel point in the bed image block, taking the edge pixel points of one bed image block among the two adjacent bed image blocks as the first category pixel points, taking the edge pixel points of the other bed image block as the second category pixel points, obtaining the number of pixel points traversed by the shortest distance between any pair of first category pixel points and second category pixel points in the two adjacent bed image blocks, and taking the minimum value among the respective traversed pixel point numbers corresponding to each pair of first category pixel points and second category pixel points as the reference visual interval between the two adjacent bed image blocks;

[0029] A danger situation judgment device, connected to the edge identification device, is used to obtain respective reference visual intervals corresponding to respective image blocks of each hospital bed in the real-time monitoring screen, and when the mean square error value of the respective reference visual intervals is greater than or equal to a set mean square error threshold, issue a ward danger situation judgment instruction and issue the number of the corresponding hospital bed partition;

[0030] As Figure 1 shown, the present invention includes N camera execution terminals corresponding to N different hospital bed partitions respectively, where N is a natural number greater than 1.

[0031] Next, the specific structure of the hospital nursing partition danger situation visual monitoring system of the present invention will be further described.

[0032] Figure 2 It is a structural block diagram of the hospital nursing partition danger situation visual monitoring system shown according to the second embodiment of the present invention. Referring to Figure 1-2 , the hospital nursing partition danger situation visual monitoring system shown in the second embodiment of the present invention may further include:

[0033] A time zone analysis component, connected to the evening identification component, is used to determine the time zone where the evening identification component is located based on the current positioning data of the evening identification component;

[0034] Detecting whether the current time period is within the evening time interval and accordingly sending an evening identification signal or a daytime identification signal includes: detecting whether the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, and accordingly sending an evening identification signal or a daytime identification signal;

[0035] Detecting whether the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component and accordingly sending an evening identification signal or a daytime identification signal includes: when it is detected that the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, sending an evening identification signal;

[0036] Detecting whether the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component and accordingly sending an evening identification signal or a daytime identification signal includes: when it is detected that the current time period is not within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, sending a daytime identification signal;

[0037] Among them, the evening time interval can be the distance between two whole-hour time periods, for example, from 6 o'clock local time on the current day to 6 o'clock local time on the next day.

[0038] Figure 3 is a structural block diagram of a visual monitoring system for critical situations in hospital care zones shown in the third embodiment of the present invention. Referring to Figure 1-3 , the visual monitoring system for critical situations in hospital care zones shown in the third embodiment of the present invention may further include:

[0039] An image encoding component, one is provided for each hospital bed zone and is connected to the corresponding camera execution terminal, and is used for performing image compression encoding processing on the real-time monitoring screen before the real-time monitoring screen of the corresponding camera execution terminal is output;

[0040] As Figure 3 shown, the present invention includes N image encoding components to respectively correspond to N different hospital bed zones, and N is a natural number greater than 1;

[0041] Among them, the N image encoding components are respectively connected to the N camera execution terminals.

[0042] In the visual monitoring system for critical situations in hospital care zones according to any embodiment of the present invention:

[0043] The camera execution terminal is further used for pausing the screen capture operation of the hospital bed zone responsible for monitoring when receiving a daytime identification signal.

[0044] In the visual monitoring system for critical situations in hospital care zones according to any embodiment of the present invention:

[0045] The voice playback device is connected to the critical situation judgment device and is used for playing corresponding voice alarm information when receiving a ward critical situation judgment instruction.

[0046] In the visual monitoring system for critical situations in hospital care zones according to any embodiment of the present invention:

[0047] The number display device is connected to the critical situation judgment device and is used for displaying the number of the corresponding hospital bed zone received in the mode of an infrared LED lamp array when receiving a ward critical situation judgment instruction.

[0048] And in the visual monitoring system for critical situations in hospital care zones according to any embodiment of the present invention:

[0049] The liquid crystal display device is connected to the critical situation judgment device and is used for switching to display the real-time monitoring screen corresponding to the number of the corresponding hospital bed zone when receiving a ward critical situation judgment instruction

[0050] In addition, in the hospital nursing area crisis visual monitoring system, extracting each bed image block corresponding to each bed in the real-time monitoring screen includes: extracting each bed image block corresponding to each bed in the real-time monitoring screen based on the matching result between the bed factory pattern and the real-time monitoring screen;

[0051] In the hospital nursing area crisis visual monitoring system, extracting each bed image block corresponding to each bed in the real-time monitoring screen based on the matching result between the bed factory pattern and the real-time monitoring screen includes: the area ratio of each extracted bed image block occupying the real-time monitoring screen exceeds a set ratio limit.

[0052] By using the hospital nursing area crisis visual monitoring system of the present invention, in view of the technical problem of missed detection of high-risk scenarios during night duty in the prior art for a single nurse station, a hardware platform for visual partition monitoring of a single nurse station for night duty can be built, and at the same time, according to the distribution state of the beds in the bed partitions, it is determined whether there is a slight movement of the beds triggered by patients, thereby reducing the probability of missed detection of high-risk scenarios.

[0053] Therefore, the descriptions of the shapes and the like disclosed above are exemplary descriptions for easy understanding of the present invention and are not used to limit the present invention. Therefore, the description using component names excluding part or all of the limitations on their shapes, materials, etc. is also included in the present invention.

Claims

1. A visual monitoring system for critical situations in hospital nursing partitions, characterized in that, The system includes: A nurse station console for managing multiple camera execution terminals, where each camera execution terminal is responsible for monitoring a single different hospital bed partition. Each hospital bed partition is an independent enclosed room with a fixed number of multiple hospital beds, and the multiple hospital beds are evenly spaced within the corresponding enclosed room. The nurse station console includes a voice playback device, a number display device, a wireless communication device, a liquid crystal display device, and a rescue box body. The rescue box body includes multiple enclosed boxes for respectively placing multiple different types of medical rescue devices; An evening identification component, arranged at the nurse station console, for detecting whether the current time period is within the evening time interval, and accordingly sending out an evening identification signal or a daytime identification signal; A camera execution terminal, connected to the wireless communication device through a built-in wireless communication interface to obtain the evening identification signal or the daytime identification signal sent by the evening identification component, and when receiving the evening identification signal, performing a picture capture operation on the hospital bed partition it is responsible for monitoring to obtain a real-time monitoring picture; A bed body extraction device, arranged at the nurse station console and establishing a wireless communication connection with the camera execution terminal through the wireless communication device and the wireless communication interface, for extracting the respective bed image blocks corresponding to each hospital bed in the real-time monitoring picture; Wherein, the respective bed image blocks corresponding to each hospital bed in the real-time monitoring picture are extracted based on the matching result between the factory pattern of the hospital bed and the real-time monitoring picture; Wherein, the area ratio of each extracted bed image block in the real-time monitoring picture exceeds a set ratio limit; An edge discrimination device, connected to the bed body extraction device, for performing the following edge discrimination actions on every two adjacent bed image blocks: obtaining each pixel point constituting each bed image block and extracting multiple edge pixel points of the bed image block based on the position of each pixel point in the bed image block, taking the edge pixel points of one bed image block among the two adjacent bed image blocks as the first category of pixel points, taking the edge pixel points of the other bed image block as the second category of pixel points, obtaining the number of pixel points traversed by the shortest distance between any pair of the first category of pixel points and the second category of pixel points in the two adjacent bed image blocks, and taking the minimum value among the respective traversed pixel point numbers corresponding to each pair of the first category of pixel points and the second category of pixel points as the reference visual interval between the two adjacent bed image blocks; A danger situation judgment device, connected to the edge discrimination device, for obtaining the respective reference visual intervals corresponding to the respective bed image blocks corresponding to each hospital bed in the real-time monitoring picture, and when the mean square error value of the respective reference visual intervals is greater than or equal to a set mean square error threshold, sending out a ward danger situation judgment instruction and sending out the number of the corresponding hospital bed partition; 2. The hospital care area crisis visual monitoring system according to claim 1, characterized in that The system further includes: A time zone analysis component, connected to the evening identification component, for determining the time zone where the evening identification component is located based on the current positioning data of the evening identification component.

3. The hospital care area crisis visual monitoring system according to claim 2, wherein: Detecting whether the current time period is within the evening time interval and accordingly sending an evening identification signal or a daytime identification signal includes: detecting whether the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, and accordingly sending an evening identification signal or a daytime identification signal.

4. The hospital care area crisis visual monitoring system according to claim 3, wherein: Detecting whether the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, and accordingly sending an evening identification signal or a daytime identification signal includes: when it is detected that the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, sending an evening identification signal.

5. The hospital care area crisis visual monitoring system according to claim 4, wherein: Detecting whether the current time period is within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, and accordingly sending an evening identification signal or a daytime identification signal includes: when it is detected that the current time period is not within the evening time interval based on the current time information and the time zone where the evening identification component is located determined by the time zone analysis component, sending a daytime identification signal.

6. The visual monitoring system for hospital care area emergencies according to any one of claims 1-5, characterized in that The system further includes: An image encoding component, one is provided for each hospital bed area and is connected to the corresponding camera execution terminal, and is used for performing image compression encoding processing on the real-time monitoring image before the real-time monitoring image of the corresponding camera execution terminal is output.

7. The hospital care area crisis visual monitoring system according to any one of claims 1-5, wherein: The camera execution terminal is further used for suspending the image capture operation of the hospital bed area under its monitoring when receiving a daytime identification signal.

8. The hospital care area crisis visual monitoring system according to any one of claims 1-5, wherein: The voice playback device is connected to the crisis judgment device and is used for playing a corresponding voice alarm message when receiving a ward area crisis judgment instruction.

9. The hospital care area crisis visual monitoring system according to any one of claims 1-5, wherein: The number display device is connected to the crisis judgment device and is used for displaying the number of the corresponding hospital bed area received in the form of an infrared LED lamp array when receiving a ward area crisis judgment instruction.

10. The hospital care area crisis visual monitoring system according to any one of claims 1-5, wherein: The liquid crystal display device is connected to the crisis judgment device and is used for switching to display the real-time monitoring image corresponding to the number of the corresponding hospital bed area when receiving a ward area crisis judgment instruction.

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