120 results about "Critically ill" patented technology

The invention discloses an outpatient queuing and calling scheduling system based on an AI dynamic decision engine. The outpatient queuing and calling scheduling system comprises a multi-source data acquisition and preprocessing module, a DeepSeek intelligent prediction and scheduling engine, a dynamic priority ranking and calling module and a cross-department resource collaboration module. According to the method, the whole outpatient service process is reconstructed through AI, a closed loop of data driving, intelligent prediction, dynamic scheduling and cross-section collaboration is achieved, a traditional static queue is converted into a dynamic system capable of sensing disease severity, special crowd requirements and resource loads, the medical resource allocation efficiency is improved, the average waiting time of patients is shortened, and the medical resource allocation efficiency is improved. The rescue response speed of critical patients is improved by multiple times, meanwhile, the diagnosis period of difficult cases is shortened through automatic triggering of multidisciplinary consultation (MDT), pregnant women / disabled persons / elderly patients are automatically recognized in cooperation with the multi-modal recognition technology, dynamic priority values are given, and the priority service missed recognition rate is obviously improved.

The invention relates to the technical field of gastrointestinal tracts, in particular to a gastrointestinal tract ultrasonic virtual simulation nursing teaching platform which comprises a function module and a hardware configuration module. The function module comprises an anatomy learning module, an ultrasonic simulation module, a case training module and an examination and evaluation module; the hardware configuration comprises a VR head-mounted display, an ultrasonic simulator and an operation panel. The system has the advantages of safe and risk-free training, standardized process learning, immersive scene experience and instant feedback evaluation, a high-fidelity gastrointestinal tract ultrasonic virtual simulation teaching platform for critically ill patients is constructed, a 3D virtual model is constructed by using a virtual simulation technology, knowledge is presented dynamically and visually, real situations such as ICU wards and the like are simulated through VR, and real-time feedback evaluation of the gastrointestinal tracts of the critically ill patients is realized. The learning initiative and the sense of participation are stimulated; an ICU environment is virtualized, an unlimited'trial-and-error 'practice space is provided, the equipment cost is reduced, potential safety hazards are avoided, and space-time and safety barriers are broken.

The invention discloses an excrement character recognition and drug delivery closed-loop control method and system, and the system comprises an excrement collection and preprocessing module which is used for carrying out the automatic collection, preliminary physical and chemical character detection and sample preprocessing of the excrement of a patient; the multi-modal data analysis module is used for carrying out deep fusion analysis on the original multi-modal data output by the excrement collection and preprocessing module and carrying out diarrhea type diagnosis and severity evaluation; the drug delivery closed-loop control module is used for accurately and dynamically infusing drugs according to the diagnosis result of the multi-modal data analysis module; and the man-machine interaction and early warning module is used for monitoring and intervening the state of the system by medical staff and receiving important alarms. According to the invention, objective and continuous evaluation of excrement properties is realized, the drug dosage and scheme can be dynamically adjusted according to the properties, and the accuracy, individualization level and safety of diarrhea treatment of critical patients are significantly improved.

The invention relates to the technical field of clinical decision support and medical data intelligent analysis, in particular to a critical patient individualized liquid resuscitation decision support system, which is characterized in that a data acquisition unit acquires pulse pressure variation waveform and multi-dimensional physiological data of each stroke volume; a volume benefit analysis channel of the dynamic decision-making unit segments a respiratory cycle, extracts pulse pressure fluctuation characteristics, outputs a per-stroke volume increase probability value through a machine learning classifier, an organ injury early warning channel calculates a blood lactic acid and creatinine clearance rate change rate, and generates an acute kidney injury risk sign in combination with inferior vena cava image verification; the execution control unit sends an infusion control or limit instruction according to the combined state; and the feedback optimization unit adjusts the weight of the model according to the actual value of blood lactic acid removal, and recalculates the probability value, so that individualized precise resuscitation, balance capacity benefit and organ protection are realized, and the treatment safety and effectiveness are improved.

The invention discloses a severe patient blood pressure trend monitoring and intervention decision-making system based on deep learning, and relates to the technical field of medical information processing, which comprises the following steps: acquiring a continuous invasive arterial pressure waveform and carrying out pulse-by-pulse segmentation, and extracting pulse-by-pulse average pressure and a multi-dimensional high-frequency waveform characterization quantity; and calculating a voltage-sharing deviation amount, a high-frequency retention amount and a steady-state collapse eigen index in combination with preorder analysis window data, inputting the data into a time sequence deep learning network to obtain a pseudo trend probability, further obtaining a corrected voltage-sharing slope and a real trend slope, respectively calculating a link checking priority and a real low-voltage intervention priority, and outputting an auxiliary intervention decision. According to the invention, link distortion and real blood pressure deterioration can be distinguished, and the accuracy of trend monitoring and intervention decision is improved.

This invention discloses an infection early warning model and prediction system for critically ill patients based on multimodal monitoring data, belonging to the field of medical artificial intelligence and clinical decision support technology. The system collects multi-source heterogeneous physiological signals, laboratory test indicators, imaging features, and nursing records from patients. Through a self-designed cross-modal feature fusion algorithm and dynamic weight adjustment mechanism, it constructs a nonlinear infection risk prediction model. Furthermore, time-series segmented coding and adaptive threshold correction methods are introduced during model training to achieve early and accurate infection early warning. Compared with existing technologies, this invention significantly improves the sensitivity and specificity of prediction and maintains stable performance across different departments and diseases.

The utility model discloses a severe patient oral secretion collection and drainage flushing device which comprises a support and a negative pressure pipe, the negative pressure pipe is arranged between the top wall and the bottom wall of the support, an arc-shaped plate is arranged at the first end of the top wall of the support, and the end, away from the top wall, of the arc-shaped plate is bent towards the bottom wall. The first end of the top wall extends into the oral cavity of a patient, and the side, back to the bottom wall, of the arc-shaped plate is used for making contact with the upper jaw of the oral cavity. According to the embodiment, the side, back to the bottom wall, of the arc-shaped plate on the top wall of the support can make contact with the upper jaw of the oral cavity of the patient, so that the support is supported and fixed, the situation that secretions at the specific position cannot be normally sucked away due to the fact that a user licks the support and the position of the support deviates is avoided, and the drainage and flushing effect is improved.

The utility model belongs to the field of medical equipment, and particularly relates to a breathing critically ill oxygen supply device which comprises an oxygen supply machine, a vertical block is assembled on the oxygen supply machine, a transverse block is assembled on the vertical block, a fixing block is assembled on the transverse block, a guide rod is assembled on the fixing block, an operation motor is assembled on the fixing block, and a double-thread lead screw is assembled on the operation motor. The double-thread lead screw is provided with an external thread, the external thread on the double-thread lead screw is provided with a traction block, the traction block and the guide rod are assembled, the transverse block is provided with a movable rod, the movable rod is provided with a limiting plate and an adjusting block, the adjusting block is provided with a connecting block, and the connecting block is provided with a traction ring. According to the oxygen supply device for the critical respiratory disease, through the cooperation of the double-thread lead screw and the traction ring, the problems that an existing exhaust hose is difficult to keep a horizontal stretching state in the use process, the overlong exhaust hose is in a U shape under the influence of gravity, and oral liquid can be gathered and is not prone to flowing out are solved.

The invention discloses a method for evaluating early activity of a critically ill patient. The method for evaluating the early activity of the critically ill patient comprises the following steps: acquiring sign data of the patient, analyzing the sign data of the patient, and matching a corresponding early activity level; recording related evaluation indexes such as time, completion standard degree, completion speed and error frequency when the patient completes the corresponding early activity level action instruction, comparing the difference between the actual evaluation index and each preset index, and correcting and guiding the action posture of the early activity of the patient; and collecting physical sign data of the patient after completing the action instruction of the corresponding early activity level, comparing the difference of the physical sign data of the patient before and after the early activity, and evaluating the influence on the physical condition of the critical patient after completing the corresponding early activity. By means of the evaluation method, multi-dimensional evaluation can be conducted on the execution efficiency of the early activity of the patient, the evaluation result is objective, and errors generated by manual evaluation are reduced.

The present application relates to the technical field of component detection, in particular to a rapid detection system for respiratory tract sputum components of severe patients based on mass spectrometry. The system can realize the following steps through the cooperation between multiple modules: obtaining a target mass spectrum corresponding to a respiratory tract sputum sample of a patient to be detected, and identifying a target characteristic peak and its corresponding isotope peak cluster in the target mass spectrum; determining a pathogen compliance index, protein flooding possibility and isotope peak distribution rationality corresponding to each target characteristic peak; screening protein flooding characteristic peaks from all target characteristic peaks; segmenting target pathogen peaks from the protein flooding characteristic peaks, and detecting respiratory tract sputum components according to the target characteristic peaks and the segmented target pathogen peaks. The present application realizes the segmentation of protein flooding characteristic peaks by analyzing the protein flooding condition in the characteristic peaks, thereby facilitating the identification of the flooded pathogen, and further improving the accuracy of respiratory tract sputum component detection.

This application provides a multi-agent, multimodal collaborative method, device, equipment, and storage medium for diagnosing the condition of patients in the intensive care unit (ICU), belonging to the field of medical artificial intelligence and intelligent analysis technology for intensive care. The method includes: receiving multimodal clinical monitoring data in an ICU setting, including bedside medical images, continuous life time series, and critical care clinical text; identifying and adaptively routing the input data through a modality detection agent, distributing it to corresponding domain expert agents for pathological and physiological feature extraction; constructing a patient-centric graph structure representing the dynamic clinical condition of ICU patients through a knowledge graph agent based on the features output by each domain expert agent, this graph structure integrating structured medical knowledge of entity extraction and relational reasoning; further, inputting the constructed graph structure and original multimodal features into a collaborative agent, generating the final ICU patient condition diagnosis result (such as mortality prediction, ICU long-stay prediction, etc.) and a traceable reasoning path through graph traversal and collaborative reasoning. This application effectively breaks down data silos between different monitoring devices in the intensive care unit environment, dynamically captures cross-modal associations specific to critically ill patients, and significantly improves the accuracy of critical care clinical diagnosis and medical trust.

The invention relates to the technical field of first-aid medical informatization, in particular to a first-aid transfer path intelligent recommendation method and system based on the AI technology, and the method comprises the following steps: S1, collecting vital sign data of a patient, vehicle running state data and traffic road condition data, carrying out cleaning and space-time alignment, and constructing a first-aid transfer state data set; and S2, performing illness criticality assessment and hospital resource matching based on the first-aid transfer state data set, locking a target hospital through a two-way resource interaction protocol, and generating a main navigation path. According to the method, the vital signs of the patient, the running state of the vehicle and the real-time road condition data are subjected to unified space-time alignment, and illness criticality evaluation, hospital resource locking and track re-planning based on medical operation stability are introduced, so that the first-aid transfer path can be dynamically adjusted according to the state of the patient and the road condition; therefore, the medical continuity and the path decision accuracy of the critical patient in the transfer process are remarkably improved, and the overall treatment efficiency is improved.

This invention discloses a cold stimulation device for the rehabilitation of dysphagia in ICU patients, belonging to the field of dysphagia rehabilitation devices. The invention provides a cold stimulation device for the rehabilitation of dysphagia in ICU patients that enhances the effect of cold stimulation therapy. It includes a horizontal plate and an inclined plate. The horizontal plate is connected to the top of the inclined plate, and the horizontal plate is connected to symmetrically arranged arc frames. A nozzle is connected between the arc frames, and three rows of nozzles are opened at the rear of the nozzle. A cylinder is connected to the side of the nozzle away from the arc frames, and a movable circular plate is slidably connected to the cylinder. By moving the connecting frame forward, the connecting frame drives a threaded rod to rotate, which in turn drives the movable circular plate to move backward, directly spraying the cold stimulation liquid through the nozzles onto the patient's throat. Firstly, the direct contact of the cold stimulation liquid with the throat allows the patient's throat to receive continuous cold stimulation; secondly, the impact force generated by the spray enhances the stimulation of the patient's throat.

The utility model discloses a breathing machine for breathing and critically ill medicine, and relates to the field of medical equipment. The breathing machine for breathing and critically ill medicine comprises a breathing machine body and a sliding support installed below the breathing machine body, and a quick-release adjusting piece is arranged between the breathing machine body and the sliding support; the quick-release adjusting part comprises a sliding support and a handle part movably arranged on the back face of the sliding support, a fixed supporting shaft and a positioning shaft are fixedly arranged on the inner side of the handle part, the fixed supporting shaft is movably connected with the sliding support in an inserted mode, and the positioning shaft penetrates through the sliding support and is movably connected with the breathing machine body in a clamped mode. According to the breathing and critical disease medical breathing machine, a positioning shaft is moved out of a clamping hole by slightly pulling a handle part outwards, the breathing machine body can be conveniently and quickly taken down to be independently transferred, the handle part is pulled to the bottom outwards, a fixed supporting shaft is moved out of a fixing hole, and at the moment, a quick-release adjusting part is moved up and down to adjust the height.

The invention discloses a system for monitoring and guiding early-stage activities of critically ill patients. The system for monitoring and guiding the early-stage activity of the critically ill patient comprises an intelligent bracelet worn on an arm of the patient and used for monitoring physical sign data of the patient in real time, and a wearable virtual reality device used for establishing communication with the intelligent bracelet; the wearable virtual reality device comprises a storage module used for storing information adaptive to the early activity level of a patient, a display module used for displaying early activity level guiding scene information, and a processing module used for recording the time, the completion standard degree, the completion speed and the completion speed of the patient completing a corresponding early activity level action instruction. And the control module is used for comparing the difference between the actually measured evaluation index and each preset index, and monitoring and guiding the action posture of the early activity of the patient. Through the system, the labor intensity of medical staff is greatly reduced, and the requirements of modern medical services are met.

The invention relates to a model for predicting the death risk of patients suffering from liver cirrhosis critically ill diseases, and belongs to the technical field of medical examination and severe medicine. Aiming at the problems of complexity and time consumption of existing prognostic scoring of cirrhosis, the invention provides an anion gap AG calculated by using Na < + >, K < + >, Cl <-> and HCO3 <-> of intraday venous blood in an ICU (Intensive Care Unit) as a biomarker, and a high-risk threshold value that AG is greater than 16mmol / L is set. Researches show that the death risks of high-AG patients in 30 days, 60 days and hospitalization are obviously increased, the HR after correction is respectively 1.920, 1.793 and 1.764, and the predicted efficiency AUC is approximately equal to 0.71 and is equivalent to MELD, SOFA, GCS and OASIS. The system comprises an electrolyte detection module, an AG calculation module, a risk grading module and a display module, and can be embedded into an existing ICU information platform to realize rapid, simple, convenient and accurate early death risk early warning.

1. Name of the product in this design: Rehabilitation and Nursing Bed for Critically Ill Patients. 2. Purpose of this design: For use in hospitals, clinics and other medical institutions for patient care 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: a 3D model.

This invention relates to the field of clinical medical and nursing device technology, specifically to an auxiliary turntable for blood glucose management and insulin dose adjustment in critically ill patients. It includes a base and a recommendation component. A support column is fixedly connected to the top of the base. The recommendation component includes a recommendation disc fitted outside the support column. A judgment component, including a judgment disc fitted outside the support column, is fitted outside the support column and is located on top of the recommendation cover. An identification component, including an identification disc fitted outside the support column, is fitted outside the support column. A base component, including a base disc fitted outside the support column, is located on top of the identification cover. Through the base, support column, and four sets of adjustment components, standardized and visual matching of multiple blood glucose indicators and insulin adjustment recommendations is achieved. Combined with three-color risk label strips, it quickly identifies abnormal blood glucose levels and fluctuation risks, enabling early detection and intervention, and reducing dose adjustment errors due to experience.

The application provides a traffic accident doctor-alarm coordination treatment method and system based on AI and image recognition, relates to the technical field of traffic accident rescue, and comprises the following steps: segmentation and detection are carried out through acquisition of multi-angle images, an accident scene space distribution map is generated to divide rescue priorities, a hierarchical rescue plan is formulated in combination with the physical sign data of the wounded, a special rescue channel is planned for the critically ill wounded, and the path is adjusted in real time during the rescue process, so that the rescue resources can quickly reach the specified area, and the rescue efficiency and the success rate of treatment of the wounded are improved.

The invention belongs to the technical field of medical aid, and particularly relates to a medical aid wiring communication auxiliary system and method, and the system comprises an emergency center auxiliary system, an ambulance application system, and a user emergency mobile phone system. The emergency center auxiliary system is used for assisting a worker to establish an independent rescue communication platform, and the rescue communication platform comprises an emergency information module, a voice live broadcast module, an interface text communication module and a video call module; the ambulance application system is used for accessing the rescue communication platform, preparing medical supplies in advance through the first-aid information, and performing subsequent first-aid communication with an alarm person; according to the system, the information of the emergency center, the medical personnel in the ambulance and the alarm can be shared in time, the capabilities of quick response, dynamic adjustment and cooperative treatment are improved, and one more guarantee is provided for treating emergency patients.

The utility model discloses a tool for screening and treating dysphagia of a severe tracheostomy patient, which comprises two containing rods A which are the same in shape and size and adopt independent sterile bags, a normal saline layer is arranged in an inner cavity of each containing rod A, and an edible fruit green staining fluid layer is further arranged in an inner cavity of one containing rod A; the containing rod A comprises a hollow straight pipe A with two open ends, the top end of the hollow straight pipe A is fixedly connected with a cotton ball, and the bottom end of the hollow straight pipe A is fixedly connected with a handle; the containing rod A is independently and aseptically packaged, so that the use is convenient and sanitary, and the hospital infection risk in the ICU is reduced; a screening effect is achieved on the swallowing function, dominant aspiration and recessive aspiration, and operation is easy and convenient; the lozenge A has double effects of screening and treatment, orderly combination of screening and treatment of dysphagia of patients is realized at low cost, the medical cost is reduced, the cost of the patients is reduced, and the treatment method is mature and effective.

This utility model relates to the field of rehabilitation training restraint devices, specifically disclosing a protective blanket for wheelchair functional training. The blanket includes a blanket body, with an upper limb fixing liner on one side, a chest fixing elastic band below the upper limb fixing liner, and two lower limb fixing liner symmetrically positioned below the chest fixing elastic band. The blanket body has two symmetrical strip-shaped openings running through both sides, with several Velcro straps along the sides of the strip-shaped openings. The edge of the blanket body is fitted with a connecting mechanism for connection with a wheelchair. This utility model enables convenient fixation to a wheelchair and allows for flexible coordination with the wheelchair, facilitating early wheelchair functional training for critically ill patients and preventing falls, tube removal, and other accidents during early activity.

This invention relates to the field of medical and nursing technology, specifically to a patient care support device for critical care, comprising a base plate and two support components disposed opposite each other on the top left and right sides of the base plate. It also includes a dual-mode control mechanism disposed between the two support components and connected to the middle of a three-way gas channel on the inner front side of the base plate via a support tube. Both ends of the three-way gas channel are connected to the two support components respectively. Two openable seat panels are disposed opposite each other and are movably connected to the two support components via sliding frames and closed and fixed by locking plates. This invention addresses the significant shortcomings of existing critical care support devices in meeting the core needs of transferring and connecting critically ill patients with limited leg mobility, including height adjustment, safe fixation, and flexible transport. These devices struggle to balance ease of operation, transport safety, and scenario adaptability, and cannot effectively solve the problem of efficient and safe transport of such patients in clinical and home care.

The invention discloses an arterial duct blood glucose monitoring system and method for a critically ill patient, and relates to the technical field of blood glucose monitoring, and the key points of the technical scheme comprise the following steps: collecting an arterial blood sample collected from an arterial duct of the critically ill patient, basic physiological data of the patient and treatment intervention data based on preset monitoring cycle data; obtaining blood glucose original data, physiological parameters and treatment operation data; dividing the blood glucose original data based on the physiological parameters to obtain first blood glucose data with stable haemodynamics and second blood glucose data with fluctuating haemodynamics; matching the first blood glucose data with the corresponding treatment operation data based on the physiological parameters, and determining whether the blood glucose change of the critically ill patient has physiological interference and treatment correlation influence or not; the device has the effect of realizing real-time monitoring on the blood sugar of the critical patient.

The invention belongs to the technical field of medical instruments, and particularly relates to a critical patient head automatic turnover device which comprises a base and a position adjusting mechanism arranged at one end of the base, a head turnover mechanism is arranged at the top of the position adjusting mechanism, and one side of the head turnover mechanism is in transmission connection with a head supporting mechanism through a shaft rod. The pressure in each silica gel air bag unit can be intelligently adjusted in the overturning process, pre-pressure reduction can be carried out before the pressure of the pressed side is increased, or adaptive supporting can be carried out after the pressure of the pressure reduction side is reduced, dynamic redistribution of the pressure is achieved, and local continuous high pressure is reduced to the maximum extent; the central control module can decompress the silica gel air bag unit and the air bag cushion on the decompression side according to a set program, the decompressed silica gel air bag unit and the decompressed air bag cushion contract to be separated from the cheeks and the forehead of the patient, and the occurrence risk of head and face pressure sores can be further reduced.

The invention provides an intelligent early-warning type nursing fixing device for preventing extravasation during venous transfusion of a critical patient, and relates to the technical field of medical nursing equipment, the intelligent early-warning type nursing fixing device comprises a flexible outer shell, an early-warning assembly for warning leakage of venous transfusion is mounted at the outer end of the flexible outer shell, and clamping grooves are formed in the front side and the rear side of the early-warning assembly; a limiting assembly is installed in a clamping groove of the early warning assembly, a groove is formed in the outer surface of the early warning assembly, a positioning assembly is arranged in the groove of the early warning assembly, the lower surface of the positioning assembly abuts against the upper surface of the limiting assembly, the flexible outer shell is attached to the outer side of the infusion position of a patient, and the device is fixed to the limb of the patient through the early warning assembly. The limiting assembly further strengthens the fitting degree of the device and the limbs, the positioning assembly locks the installation state of the limiting assembly, the device can meet the nursing requirements that the limbs of the critical patient are limited in movement and long-term infusion is needed, and therefore the nursing safety, the fixing reliability and the intelligent early warning performance of the device are improved.

This invention provides a bedside hemofiltration method and system for elderly critically ill patients, comprising: analyzing the correlation between transmembrane pressure changes and venous pressure fluctuations under the control of vascular access type and puncture angle, based on a dynamic trend description, and simultaneously evaluating the corrective effect of signal compensation mechanisms on data accuracy to obtain a set of parameter correlation strengths; if some values ​​in the parameter correlation strength set exceed a preset threshold, then combining monitoring data on access infection risk and fluctuations in signal transmission distance, determining whether there is a chain reaction caused by access abnormality, and obtaining an abnormal chain reaction identifier; for the abnormal chain reaction identifier, determining the degree of danger of the abnormality to the overall system by analyzing the matching degree between access establishment time and attenuation frequency range, and obtaining a danger level classification result.

The invention discloses an intelligent rescue carriage based on multi-band RFID and an obstetrical critical disease decision model, and relates to the technical field of intelligent medical treatment and decision of obstetrical critical diseases, the intelligent rescue carriage comprises an intelligent rescue carriage main body in butt joint with a hospital information system, and the intelligent rescue carriage main body adopts a modular hardware architecture. A dual-band RFID fusion identification module, an obstetrical critically ill exclusive data processing engine and decision model, a multi-source data docking module, a standardized process execution module and a post-rescue management module are integrated; according to the invention, accurate identification of a single drug and batch identification of consumables are realized through dual-band RFID, and inventory is automatically updated to adapt to first aid; an obstetric specialized decision-making model is integrated, and an individualized scheme is generated by encrypting real-time data based on multiple systems, so that the decision-making accuracy is improved; the modularized architecture is convenient to expand, the standardized process comprises overtime early warning and automatic recording, and layered checking, block chain vehicle sealing and offline / energy-saving modes are matched, so that the stability of post-rescue management and extreme scenes is improved, and the obstetrical critical disease rescue effect is efficiently improved.

The invention relates to the technical field of medical equipment, and discloses a respiratory recovery assisting device for a critical medical patient, which comprises a support frame, a movable bottom plate, a connecting plate, a top end fixed on the support frame, a loading and unloading structure arranged on one side of a shell and used for quickly replacing a first exhaust membrane flap valve, and an air guide unit arranged on one side of the shell and used for quickly replacing a second exhaust membrane flap valve. And the flow control structure is arranged on one side of the housing and comprises rotating plates rotationally connected to the interiors of the bearing seats, a transmission shaft fixed between the rotating plates and a guide assembly arranged on one sides of the rotating plates. By rotating the adjusting screw rod and adjusting and changing the contact position of the positioning rod and the rotating plate, the reciprocating motion stroke of the moving piston is further changed, so that the breathing flux adjusting function of the device is achieved, the breathing flux is adjusted according to the physiological difference of patients and real-time illness state dynamics, effective ventilation is maintained, and meanwhile after the illness state is improved, the breathing flux is adjusted. Flux is gradually reduced, and the respiratory muscle function is exercised.

The invention belongs to the technical field of artificial intelligence and medical health information processing, particularly relates to an ICU critical patient multi-mode risk early warning system based on deep learning, and aims to solve the problems that in intensive care, illness state prediction lags behind, multi-source data fusion is difficult, and single-index early warning precision is low. According to the system, high-frequency physiological signals, clinical observation values, inspection images and unstructured texts are collected through the data sensing layer, cross-modal embedding and comparative learning alignment are carried out through the heterogeneous fusion layer, and a shared semantic space is constructed; the time sequence reasoning layer utilizes an improved space-time diagram neural network to model a dynamic knowledge graph, and causal and time sequence dependence among clinical events is captured; and the risk decision-making layer outputs multi-dimensional risk probabilities of sepsis, respiratory failure and sudden cardiac arrest in parallel. The system supports online incremental learning and individualized time decay modeling, the timeliness, accuracy and interpretability of early warning are improved, and the method is obviously superior to a traditional method in clinical verification.