Novel unplanned tube drawing alarm device based on Internet of Things module
By using a novel unplanned extubation alarm device based on an IoT module, and employing binocular cameras and AI algorithms, the blind spot problem of binocular cameras is solved, enabling multi-angle shooting and real-time early warning of patients, thereby reducing the risk of unplanned extubation.
Patent Information
- Application Number
- CN202422806397.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-18
- Publication Date
- 2026-01-16
- Estimated Expiration
- 2034-11-18
AI Technical Summary
Existing binocular cameras have blind spots in monitoring, making it difficult to meet the requirements for collecting and identifying specific objects. They also cannot provide timely warnings during unplanned extubation, leading to risks such as mucosal damage, breathing difficulties, or tube dislodgement for patients.
A novel unplanned extubation alarm device based on an IoT module is adopted. Through a binocular camera and its linkage mechanism, the camera spacing and angle can be adjusted. Combined with AI algorithms to recognize patient movements, it can achieve multi-angle shooting and real-time early warning.
It improves the shooting range and angle, reduces blind spots, enhances early warning capabilities, and can promptly identify and warn of unplanned extubation, thus reducing clinical risks.
Smart Images

Figure CN223809834U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model belongs to the technical field of catheter anti -drop, concretely relates to a novel unplanned extubation alarm device based on internet of things module. BACKGROUND
[0002] In modern medical monitoring, the demand for monitoring camera monitoring and shooting patients is gradually increasing. Monocular camera often has a blind area, which needs to be minimized in monitoring, and then binocular camera is selected for monitoring. The existing binocular camera is used for fixed scene shooting, and the turning structure of the camera is designed to collect and shoot a larger range of pictures. Referring to Chinese patent document CN221553355U, the collection and identification function of specific objects is difficult to meet. There is still a certain shielding in the angle of view. UTILITARIAN CONTENT
[0003] In view of the above technical problems, the utility model discloses a binocular camera and its linkage mechanism, realizes the collection of patient action, increases the distance between two cameras through a certain angle of turning design, and adjusts the angle of view, so as to increase the shooting range and angle of view of the shooting object, and achieve the purpose of reducing the blind area.
[0004] The utility model discloses a first aspect based on internet of things module novel unplanned extubation alarm device, include: a plurality of camera module;
[0005] A plurality of turning parts, the camera module is rotatably connected with the turning part;
[0006] Base, a plurality of turning parts are rotatably connected with the base, and the sum of the axial lengths of a plurality of turning parts is less than the length of the base.
[0007] The turning part includes a turning piece and a U-shaped fixing piece fixedly connected with the turning piece, the camera module is rotatably installed in the U-shaped fixing piece, and the turning piece is rotatably connected with the base.
[0008] The utility model discloses the beneficial effect lies in: the device through multi -angle shooting, adjusts the angle of view, distributes the image, cooperates and handles, increases the image source of early warning alarm end, improves the controllability of device simultaneously. BRIEF DESCRIPTION OF DRAWINGS
[0009] Figure 1 The alarm device structure schematic diagram of the utility model embodiment;
[0010] Figure 2 The alarm device structure schematic diagram of the utility model embodiment is the top view;
[0011] Figure 3 The camera module structure schematic diagram of the alarm device of the utility model embodimentFigure 1 ;
[0012] Figure 4 The alarm device camera module structure of the embodiment of the new type is shown in the figure Figure 2 ;
[0013] Figure 5 The turning part structure of the alarm device of the embodiment of the new type is shown in the figure Figure 1 ;
[0014] Figure 6 The turning part structure of the alarm device of the embodiment of the new type is shown in the figure Figure 2 ;
[0015] Figure 7 The base structure of the alarm device of the embodiment of the new type is shown in the figure Figure 1 ;
[0016] Figure 8 The base structure of the alarm device of the embodiment of the new type is shown in the figure Figure 2 ;
[0017] Figure 9 The α angle of the alarm device of the embodiment of the new type is shown in the figure
[0018] Figure 10 The β angle of the alarm device of the embodiment of the new type is shown in the figure
[0019] Figure 11 The overall structure of the alarm device of the embodiment of the new type is shown in the figure Figure 1 ;
[0020] Figure 12 The overall structure of the alarm device of the embodiment of the new type is shown in the figure Figure 2 ;
[0021] Figure 13 The overall structure of the alarm device of the embodiment of the new type is shown in the figure (a) is the perspective view of the comparative file, (b) is the embodiment of the new type
[0022] The meaning of the number in the above figure is shown: camera module 1, turning part 2, base 3, shell 11, sealing ring 12, cover 13, camera 14, first opening 111, second opening 112, third opening 113, fourth opening 114, lens 142, camera body 143, turning piece 21, U-shaped fixing piece 22, U-shaped piece 221, side cover plate 222, circular hole 223, fan-shaped hole 224, turning piece hole 211, turning ring 31, control panel 32, longitudinal rotation mechanism 33, transverse rotation mechanism 34, network module 35, server 4, intelligent identification module 5, integrated platform 6, database 7, watching end 8. DETAILED DESCRIPTION
[0023] The following examples further illustrate the content of the present application, but should not be understood as limiting the present application. Any modification or replacement made to the method, steps or conditions of the present application without departing from the spirit and essence of the present application shall fall within the scope of the present application.
[0024] It should also be noted that the relational terms herein such as first and second and the like are used solely to distinguish one from another entity or action without necessarily requiring or implying any actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the recited element.
[0025] In order to supply necessary water and food for patients who cannot swallow in special cases, a gastric tube is placed into the esophagus through the oral cavity or nostril, which may cause mucosal damage to the patient and stimulate the esophagus to cause strong physiological discomfort once the trachea is unplanned to be pulled out; when some patients with respiratory system-related diseases cannot maintain sufficient ventilation or oxygenation and cannot have sufficient gas exchange, a ventilator is usually used to assist breathing, which may cause the patient to stop breathing suddenly and cause the patient to die once the trachea is unplanned to be pulled out; when the patient changes position or changes clothes, improper operation may cause excessive pulling and easy dislodging of the tube; when the patient is uncomfortable or unconscious, the patient may pull out the catheter with his own hand, and therefore monitoring and early warning of unplanned extubation is a key problem in clinical risk management.
[0026] In some embodiments of the present application, as shown in Figures 1-13
[0027] A novel unplanned extubation alarm device based on an Internet of Things module, comprising:
[0028] A plurality of camera modules 1;
[0029] A plurality of turning portions 2, the camera module 1 is in rotational connection with the turning portion 2;
[0030] A base 3, a plurality of the turning portions 2 are in rotational connection with the base 3, and the sum of the axial lengths of the plurality of turning portions 2 is less than the length of the base 3;
[0031] The turning part 2 includes a turning piece 21 and a U-shaped fixing piece 22 fixedly connected with the turning piece 21, and the camera module 1 is rotatably installed in the U-shaped fixing piece 22, and the turning piece 21 is rotatably connected with the base 3.
[0032] In some embodiments of the present application, as shown in Figures 1-13 The device further comprises:
[0033] The server 4, the camera module 1 collecting the image of the identification object is in communication with the server 4 for configuring computing power through the network module 35;
[0034] The intelligent identification module 5, the intelligent identification module 5 identifying the image of the identification object is in communication with the server 4;
[0035] The integrated platform 6, the integrated platform 6 is in communication with the intelligent identification module 5 through the database 7;
[0036] The monitoring end 8, the monitoring end 8 is in communication with the integrated platform 6 through the network.
[0037] In these embodiments:
[0038] The camera module 1, the turning part 2, and the base 3 constitute an image acquisition end, the image acquisition end is rotatably installed above the identification object, collects the image of the patient's face and the adjacent area, transmits the image to the server through the network, the server intelligently identifies the image content through the AI algorithm, stores the identification result in the database, and transmits the identification result to the monitoring end through the database, the integrated platform, and the network. The image acquisition end is preferably a network camera, each camera is uniformly directed upward above the bed, and the patient's upper body is taken into the picture by adjusting the picture through the zoom function of the camera.
[0039] The server can be an ECS server, and computing resources such as CPU, memory, disk, and network are obtained and configured according to the computing demand of the scene where the identification device is located.
[0040] The intelligent identification unit is preloaded with an image recognition program, can judge the patient's body posture such as lateral recumbency and supine according to the patient's face and adjacent area, and can also define a face recognition frame in the image; further, the patient's pipeline and unplanned extubation action are identified through semantic segmentation.
[0041] The database stores the image generated after the identification of the intelligent identification unit, and inserts, updates, deletes, and retrieves the generated image data according to the identification information.
[0042] The integrated platform is used for realizing intelligent identification units and monitoring ends, and interconnection, integration and cooperation between two or more different applications, business processes and data sources.
[0043] The network can be a wireless network, a wired network, or a combination of a wired network and a wireless network. The wireless network can be a Bluetooth module, a WIFI module, a GSM module, a GPRS module, a CDMA module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module or a LoRa module, etc. By using multiple wireless communication modes, the flexibility of wireless communication modes can be increased, and the needs of different users and different occasions can be met. In particular, when the LoRa module is used, the communication distance is far, the communication performance is relatively stable, and the module is suitable for occasions with high requirements on communication quality.
[0044] The monitoring end preferably displays and transmits early warning and alarm information of unplanned extubation to medical staff through an electronic screen.
[0045] The first monitoring end is a nurse mobile end, which sends early warning and alarm signals through a device with a display screen, a sound prompt loudspeaker and a vibration prompter, and can be carried by medical staff at any time to monitor or receive early warning and alarm information at any time.
[0046] The second monitoring end is a nurse station monitoring end, which monitors and receives early warning and alarm information from medical staff through a desktop computer with a display screen, a sound prompt loudspeaker, an external display device and interactive devices such as a touch screen, a keyboard and a mouse, or starts and temporarily suspends video monitoring of a patient in a certain bed.
[0047] In some embodiments of the new type, as shown in Figures 1-13 The difference between the above embodiments is that the new unplanned extubation alarm device based on the Internet of Things module comprises:
[0048] The first monitoring end can be worn on the human body.
[0049] The first monitoring end comprises a fixing member and a display, and the fixing member is fixedly connected with the display.
[0050] The first monitoring end can be a monitoring watch, which has a display as a watch dial and a fixing band as a watch band, so that medical staff can carry the display with them, and the display can be conveniently hung on clothes or worn on the body.
[0051] Patients are uncomfortable or unconscious with their own hands to pull out the catheter, etc., monitoring and early warning of unplanned extubation is a key issue in clinical risk management, in this embodiment, unplanned extubation is mainly divided into the following scenes:
[0052] 1. For intubated patients to enter the face with hands and timely warning;
[0053] Through the face and hand in the face recognition area, when it is detected that the hand enters the patient's face and lasts for a period of time, it is considered that there is a risk of extubation, and an early warning is immediately generated.
[0054] Hand intrusion warning: for intubated patients to enter the face with hands and timely warning, and the alarm information is pushed to the nurse station monitoring terminal and nurse mobile terminal.
[0055] Lying position recognition: supine position, left lateral position, right lateral position, prone position.
[0056] Recognize the pipeline: tracheal intubation, high-flow oxygen catheter, gastric tube.
[0057] Both white and night scenes can be recognized. The camera (image acquisition end) is installed directly above the bed tail, the camera position is within 2.5 meters above the bed surface, and through focal length adjustment, a clear face can be captured.
[0058] In the recognition scene, the optimal recognition condition is that the face is not seriously blocked, the pipeline is not blocked, and the personnel are lying flat.
[0059] The medical staff issues a detection bed request, starts the bed detection, and if the hand enters the face area, an early warning is given.
[0060] 2. For intubated patients to pull out from the nose or mouth, an alarm is given.
[0061] Unplanned extubation: for intubated patients to pull out from the nose or mouth, an alarm is given. In the face area, if the hand is close to the pipeline and the pipeline is out of the functional area, it is considered that the extubation is done and an alarm message is sent to the system.
[0062] Both white and night scenes can be recognized. The camera (image acquisition end) is installed directly above the bed tail, the camera position is within 2.5 meters above the bed surface, and through focal length adjustment, a clear face can be captured. The captured image can clearly identify the face, the pipeline, and the tape color.
[0063] In the recognition scene, the optimal recognition condition is that the face is not seriously blocked, the pipeline is not blocked, and the personnel are lying flat. When the unplanned extubation recognition alarm function is used, the medical staff issues a detection bed, starts the bed detection, and an alarm is given when the hand is close to the pipeline and the pipeline is out of the functional area.
[0064] 3. Receive early warning information, and close the non-extubation bed monitoring.
[0065] 4. The alarm information is timely pushed to the nurse terminal.
[0066] In some embodiments of the present application, as shown in Figures 1-13 different from the above embodiments, the camera module 1 comprises a shell 11, a seal ring 12, a cover 13, and a camera 14.
[0067] The shell 11 comprises a plurality of openings.
[0068] The camera 14 is installed inside the shell 11, and the seal ring 12 and the cover 13 are installed at the first opening 111 and the second opening 112 of the shell 11.
[0069] The camera 141 comprises a lens 142 and a camera body 143.
[0070] The lens 141 is connected with the inner ring of the seal ring 12.
[0071] The camera body 142 is clamped with the cover 13.
[0072] In these embodiments:
[0073] The shell 11 is in a cylindrical shape. The seal ring 12 is a hollow ring, and the hollow part can expose the lens 142. The inner ring of the seal ring 12 is in contact with the outer edge of the lens 142. The cover 13 is clamped with the second opening 112, and the second opening 112 is in an irregular shape. The cover 13 is adapted to the second opening 112, and the cover 13 can be clamped with the camera body 143 and support the camera body 143. The camera 14 can be placed inside the shell 11 through the plurality of openings of the shell 11.
[0074] The main parameters of the camera 14 can be selected as follows: sensor, close-up: 1 / 2.8 inch, CMOS, effective pixels: 2.07 million; optical magnification: 21 times; lens focal length: f=5.33-107mm, f=5.33-107mm; lens aperture: F1.65-F3.8, F1.65-F3.8; horizontal angle of view: 4.2°-59.8°, 4.2°-59.8°; vertical angle of view: 2.36°-33.63°, 2.36°-33.63°; diagonal: 4.88°-66.92°, 4.88°-66.92°; digital zoom: 16x (max); shutter: 1 / 25-1 / 10,000 seconds; white balance: automatic, shutter priority; backlight compensation: supported; digital noise reduction: 2D / 3D digital noise reduction; signal-to-noise ratio: ≥50dB; image style: general, clear, beauty, bright; image flipping: horizontal mirror image, vertical mirror image; screen mode: landscape, portrait.
[0075] As shown in the figure, different from the above-mentioned embodiment, the shell 11 further comprises a third opening 113 and a fourth opening 114. Figures 1-13
[0076] The third opening 113 and the fourth opening 114 are both rotatably connected with the U-shaped fixing part 22, and the shell 11 can be longitudinally accommodated in the U-shaped fixing part 22.
[0077] As shown in the figure, different from the above-mentioned embodiment, the U-shaped fixing part 22 comprises a U-shaped sheet 221 and a plurality of side cover plates 222, the U-shaped sheet 221 comprises a circular hole 223 and a sector hole 224. Figures 1-13
[0078] The two opposite side arms of the U-shaped sheet 221 are respectively provided with the circular hole 223 and the sector hole 224.
[0079] The plurality of side cover plates 222 cover the outside of the circular hole 223 and the sector hole 224.
[0080] As shown in the figure, different from the above-mentioned embodiment, the base 3 comprises a control plate 32 and a longitudinal rotation mechanism 33. Figure 1
[0081] The control plate 32 is fixedly connected with the longitudinal rotation mechanism 33 through the U-shaped fixing part 22, and can drive the camera module 1 to rotate in the U-shaped fixing part 22, and the rotation angle β is-30°~+90°.
[0082] The third opening 113 and the fourth opening 114 are both cylindrical hollow structures, symmetrically provided on both sides of the shell 11, and connected with the circular hole 223 and the sector hole 224 respectively, the sector hole 224 comprises a pushing block (not shown in the figure) and can slide in the range of the sector hole 224, thereby pushing the shell 11 to rotate.
[0083] The camera module 1 can be completely vertical in the U-shaped fixing part 22 in the turning part 2, the camera adjustment range is large, and more optional angles can be provided.
[0084] As shown in the figure, different from the above-mentioned embodiment, the turning sheet 21 is provided with a turning sheet hole 211, and the base 3 comprises a turning ring 31; the turning sheet hole 211 is buckled with the turning ring 31, and the turning sheet 21 can rotate on the base 3. Figures 1-13
[0085] As shown in the figure, different from the above-mentioned embodiment, the turning sheet 21 is provided with a turning sheet hole 211, and the base 3 comprises a turning ring 31; the turning sheet hole 211 is buckled with the turning ring 31, and the turning sheet 21 can rotate on the base 3. Figures 1-13 As shown, unlike the above embodiment, the base 3 further comprises a lateral rotation mechanism 34; the lateral rotation mechanism 34 is electrically connected with the control panel 32; the lateral rotation mechanism 34 is fixedly connected with the steering piece 21, and can drive the steering piece 21 to rotate, the rotation angle a is -45°~+45°, and the plurality of camera modules 1 do not directly contact each other.
[0086] In these embodiments:
[0087] The lateral rotation mechanism 34 comprises a motor, and the motor drives the camera module 1 to rotate through the steering piece 21. The rotation angle a is -45°~+45°, so that the plurality of camera modules 1 can be prevented from colliding in the rotating process, the camera module 1 is two 2 in this embodiment, the length ratio of the shell to the base is about 1:2, and the length can be 112 mm in this embodiment, and the length of the base 3 can be set to 226 mm. Alternatively, the lateral rotation range is -45°~+45° horizontally, and the vertical rotation range is -30°~+90° longitudinally; the lateral rotation speed is 0.1°~40° / S; and the vertical rotation speed is 0.1°~40° / S.
[0088] In some embodiments of the new type, Figures 1-13 As shown, unlike the above embodiment, the base 3 further comprises a network module 35, and the network module comprises at least one of a Bluetooth module, a WIFI module, a GSM module, a GPRS module, a CDMA module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module or a LoRa module.
[0089] In the embodiment of the new type, the extubation state of a patient is mainly identified in a video analysis mode, different analysis rules are preset in a camera field, and once a target appears in a scene and violates a predefined analysis rule, a system triggers a pre-set linkage rule.
[0090] The technical effect of the new type is multifaceted, the device is separated from multiple devices through calculation, storage and distribution, and cooperatively processed, the number of accessible early warning ports and the number of image acquisition ends are increased, the expandability of the device is improved, the system is more modular, and the multi-end processing capacity is improved. Therefore, the effect of multiple patient monitoring, multi-end early warning and alarm is achieved.
[0091] Although the new type has been described in detail in the foregoing general description, specific embodiments and tests, some modifications or improvements can be made on the basis of the new type, which is obvious to those skilled in the art. Therefore, these modifications or improvements made on the basis of not deviating from the spirit of the new type all belong to the scope of protection required by the new type.
Claims
1. A novel unplanned extubation alarm device based on internet of things module characterized by, The utility model relates to a kind of camera module, including: Several camera modules (1); Several steering parts (2), the camera module (1) is rotatably connected with the steering part (2); Base (3), several steering parts (2) are rotatably connected with the base (3), and the sum of the axial length of several steering parts (2) is less than the length of the base (3); The steering part (2) includes steering sheet (21) and the U-shaped fixing part (22) fixedly connected with steering sheet (21), and the camera module (1) is rotatably installed in the U-shaped fixing part (22), and the steering sheet (21) is rotatably connected with the base (3).
2. The new unplanned extubation alarm device based on internet of things module as claimed in claim 1 wherein, The camera module (1) includes: shell (11), seal ring (12), cover (13), camera (14); The shell (11) includes several openings; The camera (14) is installed inside the shell (11), and the seal ring (12) and the cover (13) are installed in the first opening (111) and the second opening (112) of the shell (11).
3. The new unplanned extubation alarm device based on internet of things module as claimed in claim 2 wherein, The camera (14) includes lens (142), camera body (143); The lens (142) is connected with the inner ring of the seal ring (12); The camera body (143) is clamped with the cover (13).
4. The new unplanned extubation alarm device based on internet of things module as claimed in claim 2 wherein, The shell (11) further includes third opening (113) and fourth opening (114); The third opening (113) and the fourth opening (114) are rotatably connected with the U-shaped fixing part (22), and the shell (11) can be longitudinally accommodated in the U-shaped fixing part (22).
5. The new unplanned extubation alarm device based on internet of things module as claimed in claim 1 wherein, The U-shaped fixing part (22) includes U-shaped sheet (221), several side cover plates (222), the U-shaped sheet (221) includes circular hole (223), sector hole (224); Two opposite side arms of the U-shaped sheet (221) are respectively provided with circular hole (223) and sector hole (224); Several side cover plates (222) are covered outside the circular hole (223) and the sector hole (224).
6. The new unplanned extubation alarm device based on internet of things module as claimed in claim 5 wherein, The steering sheet (21) is provided with steering sheet hole (211), and the base (3) includes steering ring (31);The steering sheet hole (211) is buckled with the steering ring (31), and the steering sheet (21) can rotate on the base (3).
7. The new unplanned extubation alarm device based on internet of things module as claimed in claim 1 wherein, The base (3) includes control panel (32) and longitudinal rotation mechanism (33); The control panel (32) is connected with the longitudinal rotation mechanism (33), and the longitudinal rotation mechanism (33) is fixedly connected with the camera module (1) through the U-shaped fixing part (22), can drive the camera module (1) to rotate in the U-shaped fixing part (22), and the rotation angle β is-30°~+90°.
8. The new unplanned extubation alarm device based on internet of things module as claimed in claim 7, wherein, The base (3) further includes transverse rotation mechanism (34);The transverse rotation mechanism (34) is electrically connected with the control panel (32);The transverse rotation mechanism (34) is fixedly connected with the steering sheet (21), can drive the steering sheet (21) to rotate, and the rotation angle α is-45°~+45°, and the several camera modules (1) do not directly contact each other.
9. The new unplanned extubation alarm device based on internet of things module as claimed in claim 7, wherein, The base (3) further comprises a network module (35), which comprises at least one of a Bluetooth module, a WIFI module, a GSM module, a GPRS module, a CDMA module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module or a LoRa module.
10. The new unplanned extubation alarm device based on internet of things module as claimed in claim 1 wherein, The device further comprises: a server (4), a plurality of camera modules (1) collecting identification images communicate with the server (4) for configuring computing power through a network module (35); an intelligent identification module (5), an intelligent identification module (5) identifying identification images communicates with the server (4); an integrated platform (6), the integrated platform (6) communicates with the intelligent identification module (5) through a database (7); a monitoring end (8), the monitoring end (8) communicates with the integrated platform (6) through a network.
Citation Information
Patent Citations
Binocular camera
CN221553355U