391 results about "CRITICAL CARE UNIT" patented technology

The invention relates to the technical field of biomedicine, in particular to an internet-of-things-based digitized management method for graded nursing of an intensive care unit. The method comprises the following steps that heterogeneous data of a patient are collected in real time through nursing monitoring equipment, and a principle physiological data flow is obtained; performing comprehensive physiological index calculation on the principle physiological data flow to obtain a comprehensive physiological index; carrying out individualized physiological index prediction according to the comprehensive physiological index, and carrying out patient condition deterioration probability prediction to obtain condition deterioration probability data; performing nursing level demand prediction according to the individualized physiological index prediction result to obtain nursing level demand probability data; and performing illness state trend prediction vector generation on the illness state deterioration probability data and the nursing level demand probability data to obtain an illness state trend prediction vector. According to the invention, through more accurate illness state trend prediction and graded early warning, medical workers are better assisted to carry out graded nursing on patients, and the management level of an intensive care unit is improved.

The invention discloses a multi-modal data fusion-based intelligent management system for a thoracic surgery monitoring unit, belongs to the technical field of medical information and artificial intelligence, and aims to solve the limitation of an existing thoracic surgery monitoring system in the aspects of multi-modal data fusion, heterogeneous data semantic alignment and intelligent deep analysis and prediction decision. The system is characterized by comprising a multi-modal data acquisition unit, a heterogeneous data fusion and semantic alignment module, an intelligent analysis and prediction decision module, a man-machine interaction and visual presentation module and a secure storage and management module. By the adoption of the technical scheme, comprehensive multi-modal data fusion, high real-time performance, deep intelligent analysis and prospective prediction can be achieved, intelligent decision support, resource optimization, continuous learning and self-adaptive optimization are provided, and the intelligent level and patient management efficiency of the thoracic surgery intensive care unit are remarkably improved.

The invention discloses a prone position ARDS patient death risk prediction system based on interpretable machine learning, which constructs an interpretable machine learning prediction model based on clinical data of an ARDS patient before the ARDS patient receives prone position ventilation treatment, and is used for identifying high-death-risk crowds in an ICU (Intensive Care Unit). According to the method, an optimal prediction model is determined by performing preprocessing and correlation and collinearity screening on original variables, selecting key features by adopting Lasso regression and combining multi-model training and cross validation. On the basis, an SHAP method is introduced to explain a model decision basis, a column graph is constructed, visual expression of a risk assessment result is realized, and clinical understandability and practicability of the model are improved, so that auxiliary support is provided for precise treatment and resource allocation.

The invention relates to the technical field of image segmentation, in particular to an intensive care unit video image processing method based on image semantic segmentation, which comprises the following steps of: acquiring a video image through monitoring camera shooting, dividing a semantic region, calculating a pixel displacement direction of each part, identifying an abnormal track, erasing interference, recombining a boundary contour, and comparing shape change. And constructing a trend and re-drawing a structure, evaluating stability in combination with directions, speeds and amplitudes, screening and correcting inconsistent labels, and outputting an index result. According to the method, track features are constructed by introducing pixel direction coding, a deviation region is identified and interference is eliminated in combination with a direction change trend, an edge structure is reconstructed by using a boundary connection sequence and curve fitting, contour division is optimized through deformation direction consistency, and labels are corrected by synthesizing direction change and boundary speed. Dynamic tracking and accurate labeling of the patient state are achieved, the abnormal action recognition efficiency and the label updating accuracy are improved, and the time sequence integrity and the space expression ability of image data are enhanced.

The invention relates to the technical field of medical informatization, and provides an information digital management system and method based on an intensive care medicine department, and the system comprises a data collection module, a data processing module, and a visualization and alarm module. The data acquisition module obtains a patient monitoring data set, and each patient corresponds to a monitoring data sequence. The data processing module executes the following operations on each patient: determining a target monitoring data sequence and four associated monitoring periods including a first monitoring period, a second monitoring period, a third monitoring period and a fourth monitoring period group, and generating a corresponding monitoring subset; generating an early warning signal through a disease deterioration early warning model; and if the signal is abnormal, analyzing an abnormal reason and an influence range, and generating a structured disease condition comprehensive report. And the visualization and alarm module dynamically displays the state of the patient according to the report, and performs graded alarm on the critical area. The system realizes accurate early warning and monitoring through multi-cycle data fusion analysis and three-dimensional visualization.

The invention belongs to the technical field of early warning systems in Internet platforms, and discloses an Internet of Things-based early warning system and early warning method for an intensive care unit, and the system carries out the abnormal recognition of physiological parameters through a pre-trained early warning model, fuses response task features, medical worker resource states and historical scores based on a response scheduling module, and carries out the early warning of the medical worker. A responder assignment strategy is optimized, and the matching accuracy is improved; furthermore, periodic data acquisition is realized through a response closed-loop recording module, an early warning response responsibility chain containing node and causal link information is constructed, and on the basis, high-risk nodes and bottleneck regions are identified, task allocation weights and path optimization rules are dynamically adjusted, and adaptive updating of scheduling logic is realized; and early warning re-response and rescheduling based on new logic are supported, and a feedback closed loop driven by data is formed, so that the timeliness and accuracy of early warning response are effectively improved, and the risk of intervention failure caused by response lag is reduced.

The invention provides an ICU (Intensive Care Unit) delirium syndrome intelligent prevention and management system based on a bundling intervention strategy, and relates to the technical field of medical prevention and management. The system comprises a CNN module, an RNN module, a multi-modal physiological data acquisition module, a clustered intelligent intervention module, an intelligent medicine management module, an early movement and rehabilitation management module, an intelligent sleep management module, an emotion recognition and communication support module and a data module. And the occurrence of delirium is predicted in advance through time sequence analysis. By means of the prediction in advance, the response speed of medical staff can be increased, a key time window can be provided for subsequent intervention, multi-modal data fusion is combined with various physiological signals such as the heart rate, the blood pressure and the brain waves, inaccuracy caused by a single signal is avoided through multi-modal data fusion, and therefore prediction precision is improved.

The invention discloses an intensive care treatment scheme intelligent decision-making system based on data driving, and relates to the technical field of medical information, and the system comprises a data collection module which is used for obtaining multi-source clinical data of an intensive care unit in real time; and the decision generation module is connected with the data acquisition module and is used for generating a treatment scheme according to the clinical data. According to the intensive care treatment scheme intelligent decision-making system based on data driving, through four-dimensional snapshot construction of a dynamic decision-making chain and medical interpretable evolution relation labeling, continuous logic of an intensive care decision-making is guaranteed, data abnormal driving change and medical logic jump risks are effectively identified, medical errors caused by decision-making faults are reduced, and the decision-making efficiency is improved. The abstract decision-making process is converted into a concrete evidence chain capable of penetrating auditing, and the clinical responsibility traceability and the doctor-patient credibility are improved.

A system for delivering inactivated pathogens to an enclosure includes an air delivery system, the air delivery system comprising: (a) an air intake; (b) an air conditioning unit; (c) an air mover; (d) a UVC disinfection unit; (e) an enclosure; (f) an enclosure air entry vent; (g) an enclosure air discharge vent; and (h) an air circulation pathway going from the air intake through an air duct connected at one end to the air intake and at a second end to the enclosure air entry vent that opens into the enclosure, wherein the air duct provides a passageway through the air delivery system. A pathogen loading inlet is connected to the air circulation pathway. The enclosure is a room, a nursing home, an airplane, a train, a ship, or a critical care unit in a hospital. The enclosure can also be a free-standing and / or mobile unit.

The invention discloses an intensive care unit patient early warning method and system based on clinical data, and belongs to the technical field of medical monitoring, and the method comprises the steps: medical staff carries out the setting of a two-dimensional grading system for an intensive care unit patient, and collects the input information data and monitoring data of the patient; constructing a risk factor joint model to evaluate the multi-dimensional potential crisis of the patient in the intensive care unit, giving out early warning according to the evaluation result of the risk factor joint model, and adjusting the severity level and the monitoring level of the patient; key physiological parameters of the patient are calculated in real time, the threshold value is corrected, the corrected threshold value serves as a new threshold value to be written into a database of the risk joint model, and the new threshold value is synchronized to a monitoring terminal through a timestamp. Potential medical risks are effectively reduced, the survival rate of the patient is improved, early warning is given out in time, the monitoring level is optimized, implementation of targeted medical services is ensured, the situation changes of the patient are rapidly recognized, the safety and efficiency of critical care are improved, and powerful technical support is provided for the patient.

The invention discloses a nursing sputum suction device for an intensive care unit. The nursing sputum suction device comprises a sputum suction device body, a control part and a sputum collection barrel. The control part and the sputum collecting barrel are both mounted at the top of the sputum aspirator body; the bottom of the sputum collecting barrel is provided with a notch which is concavely embedded inwards, a cover plate is hinged to the notch, a sealing cavity is formed in the position, located on the periphery of the notch, of the bottom of the sputum collecting barrel, and a heating wire is arranged in the sealing cavity; a plurality of through holes for collecting residual liquid are annularly formed in the liquid collecting cavity; an electric heating element matched with the heating wire is also arranged at the liquid collecting cavity; the heating wire and the nozzle are arranged in the sputum collecting barrel, the stirring effect of bubbles and the heating effect of clear water jointly act on sputum in the sputum collecting barrel, the sputum is fully diluted and purified, and residue and accumulation of the sputum in the sputum collecting barrel are reduced. The heating effect is beneficial for accelerating decomposition of components such as protein and mucus in sputum, so that the sputum is easier to dilute and purify by clear water, and the risk of bacterium breeding is reduced.

The invention relates to the technical field of ICU environment regulation and control, and discloses a negative pressure self-adaptive adjusting system for an ICU ward. The system comprises an area pressure monitoring module, a pressure gradient analysis module, an abnormal fluctuation judgment module, a negative pressure demand generation module, a fan parameter calculation module and an execution control module. The regional pressure monitoring module obtains pressure values of ICU wards, buffer rooms and corridors in real time; the pressure gradient analysis module calculates a pressure difference value of adjacent areas, judges a gradient state and generates an abnormal signal; the abnormal fluctuation judgment module generates an abnormal level signal accordingly; the negative pressure demand generation module generates a negative pressure maintaining or enhancing instruction according to the grade signal; the fan parameter calculation module is combined with the real-time pressure value of the ward to calculate the rotating speed of a target fan and the opening value of an air valve; and the execution control module controls an exhaust system adjusting mechanism according to the target parameters. The system can dynamically regulate and control the negative pressure, guarantees the stability of the negative pressure in a ward, and reduces the diffusion risk of harmful microorganisms.

The hospital gown special for the ICU patient comprises a one-piece gown and sleeves arranged on the left side and the right side of the one-piece gown, the one-piece gown comprises a front part and a rear part connected with the front part, a trapezoidal neckline is arranged on the front part, and a first window and first covering cloth used for shielding the first window are arranged on the portions, on the two sides of the trapezoidal neckline, of the front part respectively. A hanging belt is formed between the trapezoidal neckline and the first window, and the hanging belt is formed by movably connecting two cloth belts. Due to the design of the trapezoidal neckline, the neckline is wider, and tracheal incision nursing is facilitated; the first window on the left side of the trapezoidal neckline is used for routing of an electrocardiograph monitoring lead wire, and the first window on the right side of the trapezoidal neckline is used for penetration of a puncture pipeline.

Provided are a method, device, and recording medium of early prediction of sepsis or septic shock through bio-data analysis on a computing device. In an embodiment, the method comprises training one or more time series deep learning models by: encoding sepsis or septic shock patient vital signs as time series-based bio-data to generate embedded time series patches; encoding associated patient medical histories utilizing a pre-trained language encoder to generate encoded patient medical history patches; combining the embedded time series patches and the patient medical history patches into an array; and randomly masking the embedded time series patches and asking the model to reconstructing the masked patches based at least in part on the associated patient medical histories; and utilizing the one or more trained time series deep learning models to predict sepsis or septic shock for a new patient.

The present invention belongs to the technical field of medical devices, and specifically is a nursing suction device for an intensive care unit, including a left bottle, a right bottle, a gas transmission mechanism, a mounting frame, and a reversing mechanism. In order to improve the suction efficiency and reduce the discomfort of patients, a single-tube delivery method is adopted, and the patient can be treated with suction therapy and expectorant therapy respectively, reducing the number of pipes inserted into the affected part, and at the same time, the steps of pulling out and plugging pipes and expectorant therapy when treating thick sputum can be optimized, shortening the treatment time while improving the suction efficiency, solving the problem that traditional suction devices cannot perform expectorant therapy and too many pipes are inserted into the affected part for suction therapy. At the same time, the adjustment method of suction and expectorant is simple, and only the switching coil magnet and the trigger judgment of the left trigger and the right trigger need to be exchanged, which helps medical staff to master the use method more quickly, improve work efficiency, and save precious time.

The invention belongs to the technical field of medical apparatus and instruments, and particularly relates to an ICU department critical patient effusion drainage device which comprises a sleeping table and a bed body for a patient to lie flat. A needle clamping part is arranged at the axis of the flat plate part, and the needle guiding end penetrating into the abdominal cavity of the patient is fixed through the needle clamping part; and the guide parts are symmetrically arranged on the two sides of the flat plate part. The device can assist medical staff in pricking a patient suffering from abdominal dropsy, and after the medical staff pricks the pricking needle into the abdomen of the patient, the device can keep the pricking needle in a stable vertical state and reinforce the pricking needle, so that when the medical staff connects the pricking needle with a drainage belt, an assistant does not need to assist in taking the drainage belt, and the operation is simple and convenient. When the drainage belt is in butt joint with the puncture needle, it can be guaranteed that the puncture needle has enough stability, and the problem that a patient is secondarily hurt due to the fact that the drainage belt makes contact with the abdomen of the patient and stirs the abdomen of the patient is solved.

The invention discloses an emergency intensive care unit nursing management system and method based on cloud computing, and relates to the field of nursing management, and the emergency intensive care unit nursing management system comprises a management and control module which is used for editing and executing operation instructions of all function modules; the acquisition unit is used for acquiring personal information of a current patient and acquiring physique data, action data and audio data; the preprocessing module is used for performing cleaning, standardization and key feature extraction on the acquired data; the model construction module is used for constructing an anomaly prediction model through a random forest algorithm, and performing model training by taking historical acquisition data as a training sample; by integrating multi-dimensional data and utilizing an anomaly prediction model to automatically learn and adapt to the characteristics of different patients, intelligent anomaly detection is performed based on currently acquired physical data, actions and sounds of the patients, and the configuration of medical personnel and medical equipment is automatically optimized according to the anomaly levels of the patients.

The invention belongs to the technical field of medical instruments, and particularly relates to a nursing sputum suction device for an intensive care unit, which comprises a left bottle, a right bottle, a gas transmission mechanism, a mounting frame and a reversing mechanism. In order to improve sputum suction efficiency and reduce discomfort of a patient, a single-tube conveying mode is adopted, sputum suction treatment and sputum reduction treatment can be carried out on the patient respectively, the number of tubes inserted into an affected part is reduced, meanwhile, the steps of tube pulling and inserting and sputum reduction treatment can be optimized when thick sputum is treated, the treatment time is shortened, and meanwhile the sputum suction efficiency is improved. The problems that a traditional sputum suction device cannot conduct sputum suction treatment and too many sputum suction treatment pipes are inserted into an affected part are solved, meanwhile, the adjustment mode of sputum suction and sputum suction is simple, only a coil magnet needs to be switched on and off, triggering judgment of a left trigger and a right trigger needs to be exchanged, medical staff can master the using method more quickly, working efficiency is improved, and the medical staff can conveniently use the sputum suction device. And precious time is saved.

The invention discloses a nursing sputum suction device for an intensive care unit, and relates to the technical field of medical instruments, the nursing sputum suction device comprises a machine body, the machine body is provided with a handle and an operation panel, the nursing sputum suction device further comprises a placement table, the placement table is provided with a sputum collection tank, a medicine storage tank and a cleaning tank, and the sputum collection tank is used for collecting sputum; the sputum collection tank is used for collecting sputum, the medicine storage tank is used for storing liquid medicine for reducing sputum, the cleaning tank is used for diluting sputum, the sputum collection tank is communicated with a sputum suction pipe, the medicine storage tank is fixedly communicated with a medicine outlet pipe, the cleaning tank is fixedly communicated with a discharge pipe, and the medicine outlet pipe is fixedly communicated with a medicine spraying pipe. The sputum suction device has the advantages that after sputum suction is completed, cleaning liquid can automatically flow in the sputum suction pipe to clean the sputum suction pipe, meanwhile, the cleaning liquid can dilute and disinfect sputum, overall sanitation is guaranteed, sanitation and safety of the next sputum suction operation are guaranteed, and follow-up cleaning of the sputum collection tank is facilitated.

The invention discloses a continuous dynamic blood glucose monitoring management method in an intensive care unit, which relates to the technical field of data analysis and processing, and comprises the following steps: collecting blood glucose data of a patient in real time, and setting blood glucose correction frequency based on the blood glucose data; calculating the dose of insulin used by the patient based on the corrected and collected blood glucose data; determining a blood glucose fluctuation range in the patient based on the blood glucose fluctuation adjustment value, determining a blood glucose level range according to the blood glucose value of the patient, and formulating a patient treatment scheme; displaying blood glucose monitoring and insulin treatment data in real time, and generating a patient data report; and establishing a remote cooperation platform, and carrying out data sharing and real-time communication cooperation. According to the method, the blood glucose data of the patient is detected through the continuous dynamic blood glucose detector, the pain of the patient is relieved, medical workers do not need to inject insulin manually through automatic insulin infusion, the working efficiency and the treatment experience of the patient are improved, and the medical workers are helped to master the blood glucose condition of the patient through a whole-process monitoring display interface.

The present invention relates to a use of collagen hydrolysate after intensive care unit (ICU) stay. The collagen hydrolysate improves the recovery and prevents and / or treats post intensive care syndrome (PICS) after ICU stay. The collagen hydrolysate is preferably administered as a supplement in the context of ICU stay and / or PICS. Collagen hydrolysate is generally-accepted to be safe and therefore can be taken as a preventive and long-term measure.

The invention discloses an intelligent monitoring method for a ward monitoring system, and aims to solve the problems of multi-source data isolation, response lag and poor scene adaptation of the existing ward monitoring technology. The method comprises the following steps: performing multi-source monitoring data fusion processing, integrating patient physiology, equipment state and ward environment data, unifying formats, and constructing data logic association; performing real-time illness state analysis, judging data reliability in combination with equipment state, finding influence factors by environmental data, and dynamically adjusting a threshold value to generate an analysis report; performing cross-device collaborative response, and starting corresponding early warning according to the disease level; continuously optimizing data feedback, and regularly evaluating and adjusting the model and the flow. Through multi-source data collaboration and closed-loop optimization, ward monitoring accuracy and illness state intervention timeliness are improved, and the method is suitable for hospitalized wards, intensive care units and other scenes.

The invention discloses a pipeline combing infusion support for an intensive care unit and belongs to the field of medical instruments, the pipeline combing infusion support comprises a supporting rod and a pipeline combing mechanism, the supporting rod comprises an infusion rod, hooks are arranged on the top wall of the infusion rod in a circumferential array mode, first sliding grooves are formed in the side wall of the infusion rod in a circumferential array mode, and the pipeline combing mechanism is arranged in the first sliding grooves in a sliding mode; the pipeline carding mechanism comprises a storage bin, a collecting mechanism, an adjusting mechanism and a positioning mechanism, the collecting mechanism is rotationally arranged in the storage bin, the adjusting mechanism is rotationally arranged in the storage bin and arranged on the side of the collecting mechanism, and the positioning mechanism is arranged on the adjusting mechanism in a sliding mode. According to the device, the redundant length of the infusion tube can be effectively collected and carded, so that the tube is more regular, scratching caused by mistaken touch can be effectively prevented, and the risk caused by disorder of the tube is effectively reduced.

The present invention is directed to a universal holder for safely supporting a number of anesthesia and critical care equipment in an organized manner on a single device. The universal holder includes a principal structure that includes an upper portion, a middle portion defining a notched channel, and a lower portion. A receiver plate is movably mounted and is vertically adjustable within the notched channel of the main plate. The receiver plate includes a structure for mounting pressure monitoring devices and manifolds. A removable transesophageal echocardiogram “TEE” probe mount is provided and is removably attachable to the receiver plate to secure the TEE probe to the universal holder. The universal holder includes a self-adjusting flexible hook to attach the universal holder to a bed handrail of a hospital bed and a foldable base plate to support the universal holder between a mattress and the frame of the hospital bed.

The invention discloses an informatization infection monitoring system and method for an intensive care unit, and relates to the field of medical data monitoring, and the informatization infection monitoring system comprises a monitoring control module which is used as a monitoring personnel observation and interaction end and is used for editing and sending operation instructions of all function modules; the acquisition module is used for acquiring control permissions of a plurality of pre-deployed visual inspection devices with adjustable visual angles and acquiring wound images of different body positions of a patient in real time; the body position adjusting unit is used for constructing an adjusting model, generating a series of body position adjusting actions including a plurality of stages and submitting the series of body position adjusting actions to the monitoring control module based on the current wound state in combination with the patient medical record data and the wound state parameters, and monitoring the execution state; through medical records of the patient and real-time wound parameters, a body position adjusting scheme according with the specific condition of the patient is generated, the deterioration index of the wound is evaluated in real time, potential risks of the wound are actively recognized, an alarm is given out immediately when a deterioration sign appears, and manual intervention lag is avoided.

The utility model relates to the technical field of intensive care units, in particular to a portable sputum aspirator which comprises a pull rod cylinder, a connecting ring, a sealing cover and a strengthening net, a baffle is arranged in an open groove in the sealing cover, the baffle is vertically connected with a push rod through a connecting strip, and the push rod moves in the open groove in the surface of the sealing cover. The defects in the prior art are overcome, the through hole is formed in the center of the sealing cover through the push rod and the baffle, and in order to control opening and closing of the baffle, the push rod is vertically arranged at the top end of the connecting strip through the connecting strip, so that the push rod extends upwards to be conveniently grabbed by personnel, and opening and closing of the baffle are controlled; sputum in the sputum tube is guaranteed to be effectively transmitted through the strengthening net, the fixing columns, the connecting rings, the fixing holes and the soft patch, the lining plate and the ferrule are arranged, the lining plate is fixed to the upper portion of one side of the pull rod barrel through the fastening rings, and therefore the whole sputum aspirator structure is spliced within a small range, and a user can conveniently carry the sputum aspirator.

The invention discloses a critical patient rehabilitation evaluation system based on artificial intelligence, particularly relates to the technical field of medical information and intelligent rehabilitation evaluation, and is used for solving the problems that in an intensive care unit, multi-source data are not synchronous, nursing and treatment events are often caused, sedation and ventilation fluctuation pollution is caused, and the problem of serious illness is solved. And thus, the problem of distortion in judgment of which level cannot move nowadays and can move to can be solved. A unified time base is established through three types of anchor points of nursing, body position and cardiopulmonary rhythm, passivity and autonomy are judged in an influence time period, and the passivity is deducted and reserved; and then sedation, circulation, respiratory support and medication are compiled into safety budget with delay, linkage evidence quantity and uncertainty adjustment release rhythm, and degradation and rollback are triggered by an anti-fact track of margin segmentation, so that an executable prescription of'activity, reachable grade and reason 'is output beside a bed, event pollution and physiological fluctuation are inhibited, and the aim of preventing and treating the patient is fulfilled. And maloperation and missed operation are reduced.

The embodiment of the invention provides an ICU (Intensive Care Unit) death risk prediction method, device and equipment based on graph convolution, which are applied to the field of medical data processing, and the method comprises the following steps: obtaining medical time sequence data of a patient in a preset time period, and preprocessing the medical time sequence data; performing multi-scale time slice division on the preprocessed medical time sequence data to obtain time sequence representations of different granularities, and adding position information codes into the time sequence representations of different granularities; inputting the time sequence representations of different granularities into a graph convolutional neural network for analysis processing to obtain final feature representations, the final feature representations including association information among features in the time sequences; inputting the final feature representation into a Transform encoder, and capturing long-term dependence on a time dimension through a multi-head self-attention mechanism to obtain a comprehensive feature representation; and the comprehensive feature representation is analyzed and processed, and the death risk probability is output, so that the accuracy of ICU death risk prediction is improved.

The utility model relates to the technical field of sleep assisting devices, and discloses a sleep assisting device for ICU patients with superficial sedative respiratory failure, which comprises an oxygen generator main body, a flow meter is arranged on the front side of the oxygen generator main body, a first filter plate is arranged in the oxygen generator main body, and a fixing and sealing mechanism is arranged, so that the oxygen generator main body can be fixed and sealed before use. A connector plug inserted into an oxygen generator connector is moved out of the connector, so that in the process that the device is not used, the interior of the oxygen generator connector can be kept clean all the time, dust is further prevented from entering the interior of the oxygen generator connector, a worm is rotated, and under rotation of a rotating plate, an adjusting rod is driven to move; and then the adjusting rod drives the fixing plate to move, so that the fixing plate is tightened inwards, the oxygen interface and the oxygen pipe are completely fixed by the fixing plate, the oxygen pipe is further prevented from being separated from the oxygen interface in the dragging process, and meanwhile, the oxygen pipe and the oxygen interface are conveniently and quickly disassembled subsequently.

1. Name of the product in this design: Intensive Care Unit. 2. Purpose of this design: To provide a place for animals to receive medical treatment and rehabilitation. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.