Nurse call system and status judgment system

The nurse call system addresses the challenge of determining appropriate monitoring modes for patients by using a camera and condition determination unit to analyze patient images and adapt monitoring modes, thereby improving fall prevention.

JP7681489B2Active Publication Date: 2025-05-22AIPHONE CO LTD
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Patent Information

Application Number
JP2021161653
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-09-30
Publication Date
2025-05-22
Estimated Expiration
2041-09-30

AI Technical Summary

Technical Problem

Existing nurse call systems struggle to determine an appropriate monitoring mode for patients immediately after admission, as the patient's condition and range of movement are not fully understood.

Method used

A nurse call system equipped with a camera for capturing patient images, a condition determination unit to analyze these images and detect changes in the patient's condition, and a notification unit to alert nurses, which allows for adaptive monitoring mode selection based on the patient's condition.

Benefits of technology

Enables the nurse call system to determine an appropriate monitoring mode for patients, thereby enhancing the reliability of preventing falls or trips from the bed by adjusting detection modes based on the patient's condition.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a nurse call system which can determine a proper monitoring mode according to the state of a patient.SOLUTION: A nurse call system comprises: a nurse call slave unit; a nurse call master unit; a camera which images a patient on a bed from above the bed; and a state determination unit which analyzes a photographed image of the camera and detects the state change of the patient to output an attention state occurrence signal when the state change has occurred. The nurse call master unit has a notification unit which executes a notification operation by receiving the attention state occurrence signal. The state determination unit is configured to detect the state change of the patient in a first mode on the basis of the photographed image and confirm, with a nurse, whether to detect the state change in a second mode different from the first mode when the state change satisfies a first condition.SELECTED DRAWING: Figure 5
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Description

[Technical field]

[0001] The present invention relates to a nurse call system and a condition determination system. [Background technology]

[0002] When a patient or a person being cared for tries to get up or leave the bed, there is a risk of falling off the bed or tripping over. For this reason, Patent Documents 1 and 2 disclose a system in which a camera captures an image of a patient in bed, and if the captured image detects that the patient has sat up or left the bed, a warning signal is output from the corridor light to the nurse call master unit, and an image of the patient is displayed on the display unit of the nurse call master unit. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2014-090913 A [Patent Document 2] JP 2016-059704 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, when performing monitoring operations as disclosed in Patent Documents 1 and 2 on a patient immediately after admission, it may not be possible to determine an appropriate monitoring mode because the patient's condition and range of movement are not fully understood.

[0005] Therefore, an object of the present invention is to provide a nurse call system and a condition judgment system that can determine an appropriate monitoring mode according to the patient's condition. [Means for solving the problem]

[0006] In order to achieve the above object, the nurse call system of the present invention comprises: A nurse call system having a nurse call handset that is installed on a bed and allows a patient to call a nurse, and a nurse call master that is installed on a nurse station and responds to calls made by the nurse call handset, a camera for capturing an image of the patient on the bed from above the bed; a condition determination unit that analyzes the image captured by the camera to detect a change in the condition of the patient and outputs a warning condition generation signal when the change in condition occurs; Equipped with The nurse call master unit has an alarm unit that receives the attention state occurrence signal and executes an alarm operation, The condition determination unit is configured to detect the condition change in a first mode based on the captured image, and if the condition change satisfies a first condition, to confirm with the nurse whether to detect the condition change in a second mode different from the first mode.

[0007] According to this configuration, it is possible to provide a nurse call system that can determine an appropriate monitoring mode according to the patient's condition, thereby more reliably preventing the patient from falling or tipping over from the bed.

[0008] In addition, in the nurse call system of the present invention, The first condition may include a case where the number of times the state change is detected within a certain period of time is outside a predetermined threshold range.

[0009] If too many status changes are detected in the first mode, the nurse can be asked whether to start detecting status changes in a different mode, allowing the monitoring operation to be performed in a more appropriate monitoring mode.

[0010] In addition, in the nurse call system of the present invention, In the first mode, the status determination unit may detect movement of the patient on the bed, and determine that the status change has occurred when it detects that the movement has exceeded a predetermined range on the bed.

[0011] According to this configuration, by adopting the bed edge movement detection mode, which is a strict monitoring mode, as the first mode, it is possible to closely monitor the condition of the patient.

[0012] In addition, in the nurse call system of the present invention, The occurrence of the state change in the first mode may include a state in which the patient's head or body is oriented away from the bed.

[0013] According to this configuration, by detecting whether the patient is facing outward in addition to moving to the edge of the bed, highly accurate detection with few false positives can be achieved.

[0014] In addition, in the nurse call system of the present invention, In the second mode, the state determination unit may determine that the state change has occurred when it detects the occurrence of at least one of the following states: the patient has sat up, the patient has sat on the edge of the bed, and the patient has left the bed.

[0015] According to this configuration, by adopting a sitting up mode, edge of bed detection mode, or bed exit detection mode, which have less stringent monitoring than the bed edge movement detection mode, as the second mode, the nurse can determine which monitoring mode is appropriate for the patient.

[0016] In addition, in the nurse call system of the present invention, the state determination unit is configured to detect the state change in a third mode or a fourth mode different from the first mode and the second mode when the state change satisfies a second condition based on the captured image, The state change in the second mode includes a state in which the patient sits up, the state change in the third mode includes the patient sitting on the edge of the bed; The state change in the fourth mode may include a state in which the patient leaves a bed.

[0017] According to this configuration, the second mode is a sitting-up mode with less stringent monitoring than the bed edge movement detection mode, the third mode is a sitting-up edge detection mode with less stringent monitoring than the sitting-up edge detection mode, and the fourth mode is a leaving-bed detection mode with even less stringent monitoring than the sitting-up edge detection mode, which can further contribute to determining an appropriate monitoring mode. Note that, as the second condition, for example, a case where the number of detections in the sitting-up edge detection mode within a certain period of time is equal to or greater than a threshold value can be considered.

[0018] In order to achieve the above object, the state determination system of the present invention comprises: A camera that captures an image of a person lying on a bed from above the bed; a state determination unit that analyzes an image captured by the camera to detect a change in the state of the person, and outputs a warning state generation signal when the state change occurs; a notification unit that receives the warning state occurrence signal and executes a notification operation; Equipped with The state determination unit is configured to detect the state change in a first mode based on the captured image, and if the state change satisfies a predetermined condition, to determine whether to detect the state change in a second mode different from the first mode.

[0019] This configuration makes it possible to provide a status determination system that can determine an appropriate monitoring mode according to the status of the person on the bed. Effect of the Invention

[0020] According to the present invention, it is possible to provide a nurse call system and a condition judgment system capable of determining an appropriate monitoring mode according to the condition of a patient. [Brief description of the drawings]

[0021] [Figure 1] 1 is a configuration diagram of a nurse call system according to the present invention. [Diagram 2]2 is a schematic diagram showing the arrangement of cameras provided in the nurse call system of FIG. 1. [Diagram 3] 2 is a functional block diagram of a camera provided in the nurse call system of FIG. 1. [Figure 4] 2 is a functional block diagram of a nurse call master unit provided in the nurse call system of FIG. 1. [Diagram 5] 11 is a flowchart for executing the monitoring operation of the nurse call system in this embodiment. [Figure 6] 6 is a flowchart showing operations executed subsequent to the flowchart in FIG. 5. [Figure 7] 11 is a diagram showing an example of an image captured by a camera when determining a change in a patient's condition. FIG. [Figure 8] FIG. 13 is a diagram showing an example of a captured image in a state where a patient has moved to the edge of the bed. [Figure 9] A figure showing the state in which an image of a patient transmitted from a camera is displayed on the display unit of a nurse call parent unit. [Figure 10] 10 is a diagram showing a state in which an operation screen for deciding whether or not to change the detection mode is displayed on the display unit in FIG. 9. FIG. [Figure 11] FIG. 13 is a diagram showing an example of a captured image when detecting a patient getting out of bed. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0022] Hereinafter, a nurse call system according to the present invention will be described with reference to the drawings.

[0023] FIG. 1 is a block diagram showing an example of a nurse call system 100 according to the present invention. As shown in FIG. 1, the nurse call system 100 includes a nurse call handset 1 installed at each bed in a hospital room for a patient to call a nurse and talk to, a corridor light 2 installed at the entrance of each hospital room and equipped with an indicator light 2a and a patient name display unit 2b for notifying the occurrence of a call from a patient, a nurse call master unit 3 installed at a nurse station for receiving and responding to a call from a patient, and a controller 4 for controlling communication between the devices. The nurse call system 100 further includes a camera 5 installed at each bed for capturing an image of a patient, a portable terminal 6 carried by a nurse for responding to a call from a patient, and a switchboard 7 for managing communication of the portable terminal 6 via a base station 8.

[0024] The corridor light 2, nurse call master unit 3, controller 4, camera 5, etc. are connected to the LAN via a HUB 10, and the nurse call slave unit 1 is connected to the corridor light 2 for each patient room via a transmission line L1. The switchboard 7 is connected to the controller 4 via a transmission line L2.

[0025] The nurse call handset 1 has a call button 1a and a plate handset 1b installed on a wall. The plate handset 1b has a connection part for the call button 1a and a communication part for communicating with a nurse.

[0026] Fig. 2 is a schematic diagram showing the arrangement of the camera 5. As shown in Fig. 2, the camera 5 is installed above the bed 9, more specifically, on the wall surface above the head of the patient M lying on the bed 9, and is installed so as to capture an image centered on the patient's head.

[0027] Fig. 3 shows a functional block diagram of the camera 5. As shown in Fig. 3, the camera 5 includes a camera CPU 21 that controls the camera 5, a state determination unit 22 that determines the state of the patient from the captured image, a storage unit 23 that stores various information, a communication interface (communication IF) 24 for connecting to other nurse call devices via a LAN via the HUB 10, an imaging unit 25, and an illumination unit 26.

[0028] The camera CPU 21 is configured, for example, by an electronic control unit (ECU). The electronic control unit includes a microcontroller including a processor and a memory, and other electronic circuits (for example, transistors, etc.). The processor is, for example, a central processing unit (CPU), a micro processing unit (MPU), and / or a graphics processing unit (GPU). The memory includes a read only memory (ROM) in which various control programs (for example, artificial intelligence (AI) programs, etc.) are stored, and a random access memory (RAM) in which various control data are temporarily stored. The processor is configured to load a program specified from the various control programs stored in the ROM onto the RAM, and to execute various processes in cooperation with the RAM.

[0029] The condition determination unit 22 detects a change in the patient's condition from the captured image of the camera 5. The change in the patient's condition is determined by extracting the shape of the patient based on the captured image. As an algorithm for extracting the shape of the patient, for example, a known moving object detection method, a classification method using features by SIFT (Scale Invariant Feature Transform) or SURF (Speed-Up Robust Features), or deep learning may be used. Alternatively, the state determination unit 22 may determine a change in the state of the patient by detecting information about the patient's human body skeleton shown in an image captured by the camera 5. Specifically, the state determination unit 22 estimates the patient's skeleton and joints based on the captured image. As a method for estimating the skeleton and joints, for example, an existing skeleton tracking technology can be used. Note that the state determination unit 22 may estimate one of the skeleton and joints of the target person as the skeleton information.

[0030] The storage unit 23 stores learning data, setting values, etc. as a database for determining the condition of a patient. In the example of FIG. 3, the state determination unit 22 and the storage unit 23 are provided separately from the camera CPU 21, but the camera CPU 21 may have the functions of the state determination unit 22 and the storage unit 23.

[0031] The imaging unit 25 is, for example, a camera module provided with a filter that also transmits infrared light. The illumination unit 26 is, for example, a light emitting element such as an infrared LED.

[0032] 1, the nurse call master unit 3 has a call section 3a equipped with a handset and an alarm section for talking to and broadcasting to patients, a display section 3b for displaying various information, and a board section 3c on which a list of patient information display sections K for each patient is displayed. The display section 3b is, for example, a 7-inch liquid crystal monitor, and is located near the call section 3a.

[0033] Fig. 4 shows a functional block diagram of the main parts of the nurse call master unit 3. As shown in Fig. 4, the nurse call master unit 3 includes a master unit CPU 31 that controls the entire nurse call master unit 3, a video processing unit 32, a touch panel 33 as an operation unit attached to the display unit 3b, and a setting unit 34. The nurse call master unit 3 further includes an information storage unit 35, an audio processing unit 37, a notification light 38, and a communication interface (communication IF) 39.

[0034] The image processor 32 controls the image or video displayed on the display unit 3b. Specifically, the image processor 32 processes the video of the patient M on the bed captured by the camera 5 to generate a display image to be displayed on the display unit 3b.

[0035] The touch panel 33 can receive operations by a nurse on the display unit 3b. The touch panel 33 functions as, for example, a setting unit 34 capable of setting a predetermined range on the bed detected by the condition determination unit 22, or a setting unit 34 capable of changing the display range of the patient image displayed on the display unit 3b.

[0036] Information storage unit 35 stores information about the correspondence between nurse call handset 1 and camera 5, various setting information, and further patient images, etc. Specifically, information storage unit 35 stores a correspondence table between nurse call handset 1 and bed number, a correspondence table between nurse call handset 1 and patient, a table of nurses in charge, patient information such as patient name and gender, a correspondence table between nurse call handset 1 and camera 5, etc.

[0037] The voice processing unit 37 processes the voice signal output by the communication unit 3a or input from the communication unit 3a. The notification light 38 is provided on the board unit 3c and notifies the caller by illuminating the caller. The communication IF 39 is an interface for connecting to other nurse call devices via a LAN.

[0038] The operation of the nurse call system 100 configured as above will be described in detail below with reference to Figs. 5 to 11. The operation of the corridor light 2 notifying the user in response to a call operation of the nurse call handset 1 and the operation of the nurse call master unit 3 or mobile terminal 6 responding to the call are the same as in the past, so the description will be omitted. The description will focus on the monitoring operation of judging the change in the patient's condition based on the captured image of the patient and monitoring the patient. Figs. 5 and 6 are flowcharts for executing the monitoring operation in this embodiment. The order of each process constituting the flowchart described below is random as long as no contradiction or inconsistency occurs in the process contents. Furthermore, the process executed by each device may be executed by another device as long as no contradiction occurs.

[0039] As shown in FIG. 5, first, a nurse performs a predetermined operation on the touch panel 33 to set the start of a monitoring operation for the patient for whom the camera 5 is installed (step S1).

[0040] In response to the setting for starting the monitoring operation in step S1, the master unit CPU 31 sets the camera 5 associated with the patient being monitored to a constant image capturing state, and starts the state determination unit 22 (step S2).

[0041] Next, the activated state determination unit 22 starts a detection operation in the bed edge movement detection mode for the video captured by the imaging unit 25 based on the learning data stored in the storage unit 23 (step S3). FIG. 7 is a diagram showing an example of an image captured by the camera 5 when determining a change in the patient's state. FIG. 8 is a diagram showing an example of an image captured when the patient has moved to the bed edge. In this example, the state determination unit 22 determines whether or not the patient has moved to the edge of the bed from a state in which the patient was lying down on the bed (i.e., in a supine position or a lateral position). Whether or not the patient has moved to the bed is determined, for example, from the position of the patient's head in the captured image. That is, as shown in FIG. 7, when the head of the patient M is located within a predetermined area below the captured image, it can be determined that the patient is lying down on the bed. Whether or not the patient M has moved to the bed edge is also determined, for example, from the position of the head of the patient M in the captured image. That is, when the head of the patient M has moved to the bed edge, it can be determined that the patient has moved to the bed edge as shown in FIG. 8.

[0042] Next, in the bed edge movement detection mode, the state determination unit 22 detects whether the patient has moved to the bed edge (step S4). If it is detected in step S4 that the patient has moved to the bed edge (Yes in step S4), the state determination unit 22 outputs an attention state generation signal to the nurse call master unit 3 and the control unit 4, and also transmits the captured image (patient video) of the camera 5 to the nurse call master unit 3 (step S5). Specifically, when the state determination unit 22 determines that the patient has moved to the bed edge, it outputs an attention state generation signal (an example of a first signal) to the nurse call master unit 3 and transmits the captured image (patient video data) of the patient.

[0043] Next, the nurse call master unit 3 that has received the caution state occurrence signal issues an alarm sound from the alarm unit included in the communication unit 3a (step S6). In addition to issuing an alarm sound from the alarm unit, the notification light 38 may be illuminated to notify the occurrence of the caution state.

[0044] Next, the nurse call master unit 3 reads the camera ID information included in the signal under the control of the master unit CPU 31, identifies the patient who sent the notification by referring to the information storage unit 35, displays the patient information of the identified patient on the display unit 3b, and displays the transmitted image on the display unit 3b (step S7). The nurse call master unit 3 also stores the patient image data transmitted from the camera 5 in the information storage unit 35.

[0045] Fig. 9 is a diagram showing a state in which the image of the patient transmitted from the camera 5 is displayed on the display unit 3b. As shown in Fig. 9, the display unit 3b is provided with a source information display unit D1 that displays source information such as the hospital room number P1, the patient name P2, and further the medical department P3, a video display unit D2 that displays the image of the patient, and a message display unit D3. The message display unit D3 displays, for example, "Caution behavior has occurred," to indicate that the image is being displayed due to the occurrence of a caution state. 9 is an image captured by camera 5 when the patient's movement to the edge of the bed is detected. Also, an operation button D4 for automatically starting recording of the video is provided on the right side of the screen of display unit 3b.

[0046] Next, the state determination unit 22 determines whether the number of detections of movement to the bed edge within a certain period of time is equal to or greater than a threshold value (step S8). In step S8, if it is determined that the number of detections of movement to the bed edge is not equal to or greater than the threshold value, that is, is less than the threshold value (No in step S8), the state determination unit 22 returns the process to step S4 and continues the detection operation in the bed edge movement detection mode.

[0047] On the other hand, in step S8, if it is determined that the number of times movement to the edge of the bed is detected within a certain period of time is greater than or equal to the threshold value (Yes in step S8), the status determination unit 22 sends a mode confirmation signal to the nurse call parent unit 3 to determine whether or not a mode change is necessary to determine whether or not to change the detection mode (step S9).

[0048] Next, the nurse call master unit 3 that has received the mode confirmation signal displays a mode change screen for deciding whether or not to change the detection mode on the display unit 3b after completing the call response (step S10). FIG. 10 is a diagram showing the display unit 3b in a state in which the mode change screen for deciding whether or not to change the detection mode is displayed. As shown in FIG. 10, in step S10, for example, the message display unit D3 displays a message saying "10 detections occurred in one hour. Do you want to change the detection mode?", a mode change button B1 displaying "Change to getting up detection mode", a mode non-change button B2 displaying "Continue behavior recognition without change", and a mode non-change button B3 displaying "Confirm current bed edge movement detection mode".

[0049] Next, the nurse call master unit 3 detects whether or not a nurse or the like has touched the mode change buttons B1 to B3 (step S11). If the nurse has not touched the mode change buttons B1 and B3 or has touched the mode non-change button B2 (No. 1 in step S11), the nurse call master unit 3 sends a signal to the status determination unit 22 not to change the detection mode, and the status determination unit 22 then returns the process to step S4 and continues the detection operation in the bed end movement detection mode.

[0050] On the other hand, if the nurse touches the mode change button B1 (Yes in step S11), the state determination unit 22 starts a detection operation in the sitting up detection mode (step S12). That is, the state determination unit 22 changes the detection mode from the bed end movement detection mode to the sitting up detection mode. Also, if the nurse touches the mode not change button B3 (No2 in step S11), the state determination unit 22 confirms the bed end movement detection mode (step S13) and does not display the mode change screen thereafter.

[0051] 6, in the rising detection mode, the state determination unit 22 detects whether the patient has risen up (step S14). The state determination unit 22 determines whether the patient has risen up by detecting that the patient has raised the upper body from a lying state on the bed. In step S14, if it is detected that the patient is in a sitting up state (Yes in step S14), the state judgment unit 22 outputs a warning state occurrence signal to the nurse call parent unit 3 and the control unit 4, and also transmits the image captured by the camera 5 (patient video) to the nurse call parent unit 3 (step S15).

[0052] Next, the nurse call master unit 3 that has received the attention state occurrence signal issues an alarm sound from the alarm unit provided in the communication unit 3a, and displays the captured image transmitted from the camera 5 on the display unit 3b (step S16).

[0053] Next, the state determination unit 22 determines whether the number of times the patient has risen within a certain period of time is equal to or greater than a threshold value (step S17). If it is determined in step S17 that the number of times the patient has risen is less than the threshold value (No in step S17), the state determination unit 22 returns the process to step S14 and continues the detection operation in the rise detection mode.

[0054] On the other hand, in step S17, if it is determined that the number of times rising is detected within a certain period of time is equal to or greater than the threshold (Yes in step S17), the state determination unit 22 transmits a mode confirmation signal to the nurse call master unit and determines whether or not the detection mode should be changed (step S18). The determination of whether or not the detection mode should be changed is performed in the same manner as in steps S9 to S11 above.

[0055] In step S18, when it is determined that the detection mode should be changed (Yes in step S18), the state determination unit 22 starts a detection operation in the edge-sitting detection mode (step S19). That is, the state determination unit 22 changes the detection mode from the sitting-up detection mode to the edge-sitting detection mode. In addition, in step S18, if the nurse touches or otherwise operates the non-mode change button B3 (No. 2 in step S18), the status determination unit 22 confirms the sitting up detection mode (step 20) and does not thereafter display the mode change screen.

[0056] Next, in the edge-sitting detection mode, the state determination unit 22 detects whether the patient is sitting on the edge of the bed (step S21). Whether the patient on the bed is sitting on the bed with his / her feet off the bed is determined based on the bed area information detected from the captured image and the patient's posture information estimated from the captured image. Specifically, the state determination unit 22 acquires position information of specific parts of the patient's upper body, for example, three points of the neck, right pelvis, and left pelvis, from the captured image, and determines whether the patient is sitting on the edge of the bed based on the position information and the bed area information.

[0057] In step S21, if the patient is detected to be in a sitting position (Yes in step S21), the state determination unit 22 outputs a warning state occurrence signal to the nurse call parent unit 3 and the control unit 4, and also transmits the image captured by the camera 5 (patient video) to the nurse call parent unit 3 (step S22).

[0058] Next, the nurse call master unit 3 that has received the attention state occurrence signal issues an alarm sound from the alarm unit provided in the communication unit 3a, and displays the captured image transmitted from the camera 5 on the display unit 3b (step S23).

[0059] Next, the state determination unit 22 determines whether the number of times the edge-sitting state is detected within a certain period of time is equal to or greater than a threshold (step S24). If it is determined in step S24 that the number of times the edge-sitting state is detected is less than the threshold (No in step S24), the state determination unit 22 returns the process to step S21 and continues the detection operation in the edge-sitting detection mode.

[0060] On the other hand, in step S24, if it is determined that the number of times the edge-sitting state is detected within a certain period of time is equal to or greater than the threshold (Yes in step S24), the state determination unit 22 transmits a mode confirmation signal to the nurse call master unit and determines whether or not the detection mode should be changed (step S25). The determination of whether or not the detection mode should be changed is performed in the same manner as in steps S9 to S11 above.

[0061] In step S25, when it is determined that the detection mode should be changed (Yes in step S25), the state determination unit 22 starts a detection operation in the bed exit detection mode (step S26). That is, the state determination unit 22 changes the detection mode from the edge-sitting detection mode to the bed exit detection mode. The determination of whether the patient has left the bed (bed exit state) is made based on whether the patient has moved outside the specific area E. That is, the state determination unit 22 determines that bed exit has occurred when the patient has moved outside the specific area E. In addition, in step S25, if the nurse touches the non-mode change button B3 (No. 2 in step S25), the state determination unit 22 confirms the edge-sitting detection mode (step 27) and does not display the mode change screen thereafter.

[0062] Fig. 11 is a diagram showing an example of a captured image when it is determined that the patient has left the bed. As shown in Fig. 11, the state determination unit 22 sets a specific area E in the image data for determining whether the patient has left the bed. Specifically, the state determination unit 22 draws four lines T1 to T4 along the contour of the bed 9, and sets the area inside the four lines T1 to T4 as the specific area E. The positions of the lines T1 to T4 are stored in the storage unit 23. For example, the state determination unit 22 determines that the patient has left the bed when the patient moves to the left of the left line T1, or to the right of the right line T2.

[0063] As described above, the nurse call system 100 according to the present embodiment includes the nurse call handset 1, the corridor light 2, the nurse call master 3 installed in the nurse station, and the camera 5 that captures an image of a patient on a bed from above the bed. The nurse call system 100 further includes a state determination unit 22 that analyzes the captured image of the camera 5 to detect a change in the patient's state and outputs an attention state generation signal when a state change occurs. The nurse call master 3 includes a call unit 3a (an example of a notification unit) that receives the attention state generation signal and performs an alarm operation. The state determination unit 22 is configured to detect a change in the patient's state in a bed end movement detection mode (an example of a first mode) based on the captured image, and detect the state change in, for example, a rising detection mode (an example of a second mode) when the change in the patient's state satisfies a predetermined condition (an example of a first condition). The predetermined condition includes a case where the number of detections of a change in the patient's state in the bed end movement detection mode in a certain period of time exceeds a predetermined threshold. This configuration can provide a nurse call system that can determine an appropriate monitoring mode according to the state of the patient. For example, if the bed end movement detection mode, which is the strictest monitoring mode, is adopted as the first mode, and if the number of detections of changes in the patient's condition in this bed end movement detection mode is too many, the bed end movement detection mode, which is one level more lenient than the bed end movement detection mode, is started to detect changes in the patient's condition, so that the monitoring operation can be performed in an appropriate monitoring mode. This makes it possible to more reliably prevent the patient from falling or tipping over from the bed.

[0064] In the above embodiment, the bed edge movement detection mode is first adopted, and when the number of detections in the bed edge movement detection mode is equal to or greater than a threshold value, the detection mode is changed in the order of the sitting up detection mode (an example of the second mode), the edge sitting detection mode (an example of the third mode), and the bed leaving detection mode (an example of the fourth mode). However, this is not limiting. For example, the sitting up detection mode may be adopted as the first mode. In this way, when the number of detections of the patient's condition change in the adopted detection mode falls outside the predetermined threshold range, that is, when the number of detections of the patient's condition change in the adopted detection mode is too high, the detection of the condition change in a different mode is started, so that the monitoring operation can be performed in a more appropriate monitoring mode.

[0065] In the above embodiment, the camera 5 is installed above the head of the patient lying on the bed, but the mounting position of the camera 5 may be any position above the bed, for example, the camera 5 may be installed above the feet of the patient lying on the bed. By capturing an image from above the bed, the image captured from above the bed does not change even if there is a person around the bed, so that malfunctions can be prevented.

[0066] 8, the occurrence of a change in the patient's condition in the bed edge movement detection mode may include a state in which the patient's head or body faces outward from the bed. With this configuration, by detecting whether the patient is facing outward in addition to the movement of the patient to the bed edge, highly accurate detection with fewer false positives can be achieved.

[0067] In the above embodiment, the status determination unit 22 is provided in the camera 5, but the present invention is not limited to this example. A dedicated server may be configured to constantly receive the video from the camera 5, and the status determination unit 22 may be provided in the server.

[0068] In addition, the nurse call master unit 3 may further include a setting unit that allows the specific area E, which is set according to the bed shape, to be manually changed.

[0069] In addition, the patient image displayed on the image display section D2 of the display unit 3b is not limited to one image, and when overlapping attention state occurrence signals are transmitted from multiple cameras 5, multiple corresponding images may be displayed on the display unit 3b.

[0070] The control unit 4 that receives the attention state occurrence signal sent from the state determination unit 22 may refer to the information storage unit 35 of the nurse call master unit 3 to obtain the associated nurse information and mobile terminal information from the ID information included in the signal, and may transmit the signal notifying the occurrence of the attention state along with source information such as the hospital room number and the image captured by the camera 5 to the mobile terminal 6 that read it, i.e., the mobile terminal 6 carried by the nurse in charge. In this case, the mobile terminal 6 that receives the signal from the control unit 4 displays the source information, patient image, and message on the display unit 6a in the same manner as the display of the nurse call master unit 3 (not shown).

[0071] In the above embodiment, the patient monitoring operation in the nurse call system 100 has been described, but the present invention is not limited to this example. For example, the monitoring operation in this embodiment may be configured as a status determination system that captures an image of a patient on a bed, detects changes in the patient's status in different modes depending on the situation, and notifies predetermined related parties. In this case, the status determination system can be easily configured by combining a camera with a control device (e.g., a computer) equipped with a status determination unit and a notification unit.

[0072] The present invention is not limited to the above-described embodiment, and can be freely modified, improved, etc. as appropriate. The material, shape, size, numerical value, form, number, location, etc. of each component in the above-described embodiment are arbitrary and not limited as long as the present invention can be achieved. [Explanation of symbols]

[0073] 1: nurse call handset, 2: corridor light, 3: nurse call parent unit, 3a: call unit (one example of an alarm unit), 3b: display unit, 3c: board unit, 4: controller, 5: camera, 6: mobile terminal, 6a: display unit, 7: exchange, 8: base station, 9: bed, 21: camera CPU, 22: status determination unit, 23: memory unit, 24, 39: communication interface (communication IF), 31: parent unit CPU, 32: video processing unit, 33: touch panel, 35: information storage unit, 37: audio processing unit, 38: notification light, 100: nurse call system

Claims

1. A nurse call system having a nurse call handset that is installed on a bed and allows a patient to call a nurse, and a nurse call master that is installed on a nurse station and responds to calls made by the nurse call handset, a camera for capturing an image of the patient on the bed from above the bed; a condition determination unit that analyzes the image captured by the camera to detect a change in the condition of the patient and outputs a warning condition generation signal when the change in condition occurs; Equipped with The nurse call master unit has an alarm unit that receives the attention state occurrence signal and executes an alarm operation, The nurse call system is configured such that the status determination unit detects the status change in a first mode based on the captured image, and if the status change satisfies a first condition, confirms with the nurse whether the status change should be detected in a second mode different from the first mode.

2. The nurse call system according to claim 1 , wherein the first condition includes a case where the number of times the state change is detected within a certain period of time is outside a predetermined threshold range.

3. 3. The nurse call system according to claim 1, wherein in the first mode, the status determination unit detects the patient's movement on the bed and determines that the status change has occurred when it detects that the movement has exceeded a predetermined range on the bed.

4. The nurse call system of claim 3 , wherein the occurrence of the state change in the first mode includes a state in which the patient's head or body is facing away from the bed.

5. 5. The nurse call system of claim 3, wherein in the second mode, the state determination unit determines that the state change has occurred when it detects the occurrence of at least one of the following states: the patient has sat up, the patient has sat on the edge of the bed, and the patient has left the bed.

6. the state determination unit is configured to detect the state change in a third mode or a fourth mode different from the first mode and the second mode when the state change satisfies a second condition based on the captured image, The state change in the second mode includes a state in which the patient sits up, the state change in the third mode includes the patient sitting on the edge of the bed; The nurse call system according to claim 3 or 4, wherein the state change in the fourth mode includes a state in which the patient leaves a bed.

7. A camera that captures an image of a person lying on a bed from above the bed; a state determination unit that analyzes an image captured by the camera to detect a change in the state of the person, and outputs a warning state generation signal when the state change occurs; a notification unit that receives the warning state occurrence signal and executes a notification operation; A state determination system comprising: The status determination system is configured such that the status determination unit detects the status change in a first mode based on the captured image, and if the status change satisfies a predetermined condition, confirms with a user of the status determination system whether to detect the status change in a second mode different from the first mode.

Citation Information

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