32 results about "Critical illness" patented technology

The invention discloses a rehabilitation assisting device for neurological critical patients, and particularly relates to the field of rehabilitation assisting devices.The rehabilitation assisting device comprises a supporting base, a rehabilitation seat and a rotating shaft, the rehabilitation seat is fixedly connected to the top of the supporting base, the rotating shaft is rotatably connected to the interior of the supporting base, and a semicircular gear is fixedly connected to the outer wall of the rotating shaft; a movable gear ring is meshed with the outer wall of the semicircular gear, a movable strip is fixedly connected to the outer wall of the movable gear ring, a rotating plate is hinged to one side of the movable strip, a special-shaped gear is fixedly connected to one side of the rotating plate, a supporting shaft is hinged to the inner wall of the special-shaped gear, and a movable rack is meshed with one side of the special-shaped gear. By arranging a semicircular gear and a movable gear ring, when a patient does rehabilitation exercise, a rotating shaft can drive the semicircular gear to be meshed with the movable gear ring, finally, a massage ball massages the legs of the patient, and the problem that the rehabilitation efficiency is low due to the fact that the patient cannot massage while doing exercise is solved.

The invention relates to an intelligent monitoring and risk early warning system for cardiovascular acute and critical diseases, which is characterized in that electrocardiosignals are acquired in real time through a wearable twelve-lead ECG monitor (ADS1298 chip, 512Hz sampling), and the electrocardiosignals are encrypted and transmitted to a cloud end through an MQTT protocol in combination with edge end wavelet denoising and QRS wave detection. And the cloud end adopts a multi-modal fusion engine, integrates a random forest-XGBoost hybrid model, performs modeling based on a postoperative patient physiological index time sequence, predicts the risk through Kalman filtering and triggers secondary early warning. Clinical tests in a third-A hospital prove that the end-to-end response time is 2.8 seconds, the D2B time is shortened to 70 minutes, and the occurrence rate of main adverse cardiovascular events in 30 days after operation is reduced by 47%. According to the invention, the limitation of traditional single-mode monitoring is broken through, a whole-process closed loop of collection-analysis-intervention is constructed, and an intelligent solution is provided for prevention and control of cardiovascular acute and critical diseases.

The application relates to the technical field of medical equipment, in particular to a training device for respiration and critical illness medicine, which comprises a saliva treatment module; an entertainment module for entertainment during children's respiration training is spirally connected to one side of the saliva treatment module; one end of a first hose is communicated with an airflow detection module for exhaust quality detection during children's respiration training; the other end of the airflow detection module is communicated with a second hose; the other end of the second hose is communicated with a sterilization module for gas sterilization; when respiration training is carried out on children patients, rotating the rotating ring on the outside can switch the second magnetic ring at different positions to cooperate with the rotating ring; different entertainment tools can be arranged above through the arrangement of a first hollow sleeve, a second hollow sleeve and a third hollow sleeve; the children blow the saliva treatment module, at this time, the entertainment toys above the entertainment module are started, which helps to attract the children to carry out multiple respiration training, helps to effectively exercise the lungs and is beneficial to subsequent rehabilitation work.

This invention discloses an intelligent processing method and system for cross-disease critical illness monitoring data, relating to the field of cross-disease data processing. By constructing a disease-sensing data matrix from multi-source monitoring data under disease label constraints, and further introducing trend decomposition and false probability modeling mechanisms, the original anomaly identification process based solely on numerical threshold judgment is transformed into a joint discrimination process of trend, fluctuation, and semantics. This enables the probabilistic expression and classification of deviations when short-term fluctuations and long-term trends of indicators deviate, achieving reconstruction of the identification path for complex states such as apparent improvement but trend deterioration or apparent deterioration but trend recovery. Specifically, by layered decomposition to separate the true trend from the disturbance signal, and then using deviation modeling to elevate anomalies from whether they are abnormal to anomaly credibility, the invention directly addresses the structural correction of the difficulty in identifying false improvement and false deterioration in cross-disease data.

The application discloses a kind of early warning screening systems of critical patient based on CI-TOFMS detection exhaled air VOCs, belong to early screening field.It includes sample processing system, CI-TOFMS, data processing module;The sample processing system is used to collect and pre-process exhaled air sample, the CI-TOFMS is used to detect exhaled air sample and obtain eVOCs spectrum, the data processing module is used to collect eVOCs spectrum data, and output early warning result;The data processing module includes data input module, eVOCs-based critical illness prediction model and result output module.The system of the application only needs to collect respiratory air to carry out the health status evaluation of test person, and it is very convenient.The eVOCs-based critical illness prediction model constructed further improves the accuracy and sensitivity of eVOCs detection technology in critical patient diagnosis, and provides more reliable diagnostic basis for clinicians.

The invention discloses a diagnosis and treatment data security sharing and collaborative reasoning system for a severe medical conjunct, and constructs a unified platform which integrates a standardized data interoperation layer, a security federated access control framework and an intelligent core engine for medical conjunct scene perception. Scattered medical institutions in the medical union are connected into a collaborative, efficient and intelligent severe illness treatment network, safe and real-time sharing of cross-institution data is achieved, intelligent agents are enabled to conduct collaborative reasoning, and therefore high-quality medical resources are sunk to each member unit in the medical union in an AI service mode, and the medical resources are saved. Knowledge and experience of top-level critical experts are converted into services which can be called anytime and anywhere, the problem that expert resources of primary hospitals are insufficient is effectively solved, and homogenization of the in-vivo critical diagnosis and treatment level of the medical combination is promoted.

The invention discloses an acute and critical symptom data mobile management system. The system comprises a data acquisition module, a data transmission module, a data storage module and a data query module, the invention also discloses an acute and critical symptom data mobile management device. The device comprises the cloud platform and hospital terminal equipment. According to the system, the data acquisition module is added, unique identification information and related medical record data of each acute and critical patient are acquired through hospital terminal equipment, and then the acquired data are uploaded to a cloud platform of the data storage module through the data transmission module; the data storage module is used for storing the acquired unique identification information and related medical record data of the acute and critical patients based on the block chain; then, a data query module is added, the data query module allows different hospital terminal devices to pass patient identity recognition, and the historical medical record data, stored based on the block chain, of the patient can be queried without carrying medical records by the patient.

The utility model relates to the technical field of oxygen uptake tubes, and provides a special oxygen uptake tube for severe illness, which comprises an oxygen connecting tube, a top joint and a top connecting block, both the top joint and the top connecting block are arranged on the oxygen connecting tube, the oxygen connecting tube comprises a top block, an oxygen tube, a first connecting block and a second connecting block, the top joint comprises a hard connecting block and a soft connecting block, flexible connecting blocks are fixedly connected to the two sides of the top connecting block, the first connecting block and the second connecting block are fixedly connected to one ends of the flexible connecting blocks correspondingly, through limiting of the flexible connecting blocks and multiple structures including an inner wall pad, a top pad and a side block, the connectivity of the oxygen connector is ensured, meanwhile, due to the design of a clamping block and a pressing top block, the clamping block and the pressing top block are not prone to falling off, and the clamping block and the pressing top block are not prone to falling off. By means of the technical scheme, medical staff can quickly complete fixation and separation of the oxygen tube only through simple operation, the working efficiency is greatly improved, the workload is relieved, and the problems that in the prior art, the workload is large, and the comfort degree is insufficient are solved.

Apparatus and methods are disclosed for monitoring, tracking, and storing vital signs using an adjustable wristband and / or ring designed to fit the patient or user. The apparatus includes integrated components such as sensors, a motherboard, and a web-based platform and / or mobile dashboard. The apparatus work together to notify the patient, healthcare team, and family members when vital signs are abnormal. Additionally, the system displays and securely stores vital signs data, making it accessible to authorized individuals during medical care or for daily health monitoring. The apparatus provides real-time notifications to users upon detecting abnormal vital signs and utilizes artificial intelligence (AI) and machine learning models to analyze health data collected from multiple data sources including EMR systems, multiple personal devices and payers to predict risk to critical illness, recommend preventive care options, and deliver proactive, personalized health insights to users, enhancing remote patient management, improving patient outcomes and overall efficiency.

This invention relates to the field of interdisciplinary technology of artificial intelligence and medical information, and discloses an intelligent ward nursing system aimed at solving the problems of scattered nursing task information, lack of dynamic scheduling, and high-risk early warning mechanisms in existing technologies. The system includes: constructing a structured nursing needs database; dynamically generating a unified nursing task list for the entire ward; visually displaying task status through a graphical interface in multiple dimensions; establishing a linkage early warning mechanism for high-risk states such as severe / critical illness; and integrating dynamic physiological data such as fluid intake and output, and weight to drive adaptive nursing scheduling. By adopting the above technical solution, this application can achieve centralized management, intelligent early warning, and proactive intervention of nursing tasks, significantly improving nursing efficiency and preventing emergencies.

The utility model discloses an acute and critical oral care device, which belongs to the technical field of oral care devices and comprises a liquid storage tank, a sealing cover in threaded connection with the top end of the liquid storage tank, a connecting base in threaded connection with the top end of the sealing cover, and a first communicating pipe fixedly mounted at the top end of the connecting base. An atomization device is fixedly installed on one side of the first communicating pipe, an outer barrier plate is fixedly installed on one side of the atomization device, a mouth-contained plug block is fixedly installed on one side of the outer barrier plate, a second connecting pipe is fixedly installed in the sealing cover, and an inner connecting pipe is integrally formed at the bottom end of the connecting base and movably inserted into the second connecting pipe. A first threaded ring is fixedly mounted at the bottom end of the connecting base. Through the cooperation of a plurality of structures, the filtering thin cloth can be quickly detached to be replaced and cleaned, the cleanness and sanitation of the device can be kept, the operation is simple and convenient, the oral care can be effectively carried out on an acute and critical patient, and meanwhile, the purity and the suitability of care liquid are ensured.

The invention provides a medical resource optimization matching method and system for emergency and critical disease rescue, and relates to the technical field of software testing, and the method comprises the steps: obtaining microcirculation perfusion data, wound characteristics, inspection data and basic illness state data of a target patient; obtaining a microcirculation perfusion index dynamic gradient of the target patient according to the microcirculation perfusion data; processing the microcirculation perfusion index dynamic gradient, the trauma characteristics, the test data and the basic illness state data of the target patient by using an illness state grading model to obtain an illness state grade and an organ failure risk probability of the target patient; inputting the disease grade, the organ failure risk probability, the medical resource state matrix, the medical team energy efficiency coefficient and the space-time constraint parameter of the target patient into a resource optimization model to obtain a medical resource scheduling scheme of the target patient; and performing medical resource scheduling according to the medical resource scheduling scheme. By applying the method provided by the invention, patient condition grading and resource requirements can be accurately identified.

The invention relates to the technical field of microwave signal frequency measurement, and discloses a cardiovascular and cerebrovascular acute critical disease early warning and monitoring system, which comprises a patient risk layering module, a multi-dimensional physiological signal acquisition module, a physiological signal abnormity analysis module and an early warning trigger and response module, and all the modules realize two-way communication through a data bus. According to the cardiovascular and cerebrovascular acute critical disease early warning and monitoring system, risk values are calculated and graded through the patient risk layering module according to the age, the basic disease number and the historical attack number, differential acquisition parameters are configured for patients with different risks, the problem that the monitoring precision of high-risk patients is insufficient is avoided, and resource waste of low-risk patients is reduced.

This invention discloses an AI-powered dynamic surgical model download and adaptive minimally invasive surgical control method, relating to the fields of medical AI and emergency rescue technology. It collects patient data through multimodal sensors, automatically identifies symptoms and matches surgical models, and downloads encrypted models from the cloud via satellite link when no effective model is available locally. After multiple verifications, the model is loaded and run. During surgery, surgical parameters are adaptively adjusted based on real-time feedback, and a network outage autonomous redundancy mechanism is also included. This invention solves the problems of existing surgical models being fixed, unusable under weak network conditions, and lacking adaptive control, enabling autonomous emergency rescue for all diseases and in all scenarios, without the need for professional personnel. It is compatible with vehicle-mounted emergency rescue systems, significantly improving the survival rate of patients with sudden critical illnesses.

The invention relates to an artificial intelligence-based auxiliary enterprise employee serious disease risk prediction method and device, equipment and a medium. The method comprises the following steps: acquiring a multi-source heterogeneous data set of enterprise employees; the multi-source heterogeneous data set comprises static health record data, dynamic physiological monitoring data, post exclusive work behavior data and organization environment data; generating a dynamic risk feature vector based on the multi-source heterogeneous data set; inputting the dynamic risk feature vector into a trained serious disease risk prediction model to obtain a personalized serious disease risk portrait; the personalized serious disease risk portrait comprises the occurrence probability of the serious disease of the enterprise employee, the type of the high-risk serious disease and the risk contribution proportion. By adopting the method, dynamic and accurate prediction of the enterprise employee serious disease risk can be realized, and the pertinence of enterprise health management is effectively improved.

The invention discloses an injection for preventing and treating delirium of ICU (intensive care unit) critical and cancer postoperative patients as well as a preparation method and application of the injection, and belongs to the technical field of pharmaceutical preparations. The injection is prepared from the following components in percentage by weight: 0.001 to 0.5 percent of melatonin receptor stimulant, 530 percent of oil for injection, 0.55 percent of phospholipid, 00.5 percent of co-emulsion, 0.55 percent of isoosmotic adjusting agent, 0.011.0 percent of pH (Potential of Hydrogen) adjusting agent and the balance of water for injection, and the pH is 5.010.0. The preparation process comprises the steps of oil phase preparation, water phase preparation, emulsification, high-pressure homogenization, sterilization and the like. The average particle size (D50) of the injection is 100350nm, the content of large emulsion particles with the particle size of 5 microns is 0-0.05%, the release rate within one hour is not lower than 80%, and the main drug content within 24 months of validity is not lower than 90%. According to the invention, the drug treatment accessibility of existing ICU severe illness and cancer postoperative delirium is realized. The product takes effect quickly after administration, can realize smooth transition from short-term injection administration to oral administration in a recovery phase after ICU / severe illness operation, and has a remarkable clinical compliance advantage.

The invention relates to the technical field of artificial intelligence and AGV control, and discloses an AGV intelligent transfer control scheduling method and system for personnel body transfer, and the method comprises the steps: obtaining a space pose relation between an AGV and a target bed; the Mecanum wheel chassis is driven to move in all directions, and the posture is finely adjusted to achieve millimeter-level butt joint; the gravity center and the supporting state of the body are recognized in real time through a multi-section flexible transfer mechanism in combination with a pressure distribution sensing array; and the speed of each conveying unit is dynamically distributed to realize zero relative sliding, and a local lifting device driven by a voice coil motor is used for performing millisecond-level vertical compensation to ensure zero clearance in the whole process. The system comprises a space pose sensing module, a chassis motion control module, a flexible transfer execution module, a pressure-speed coordinated regulation module, a vertical clearance compensation module and a task management module. The transfer safety, comfort and automation level are remarkably improved, and the system is suitable for high-sensitivity scenes such as severe illness, postoperative nursing and old-age nursing.

This invention discloses a vehicle-mounted integrated AI minimally invasive emergency rescue system and a method for collaborative emergency plasma replenishment in mountainous areas, belonging to the fields of emergency medical care and intelligent transportation technology. The system includes a vehicle factory-embedded medical module, an AI autonomous surgical unit, a satellite communication collaborative unit, a plasma cold chain replenishment docking unit, and a life support unit. It adopts an integrated vehicle-mounted folding design, which does not affect vehicle safety or appearance. The AI ​​autonomous surgical unit enables autonomous minimally invasive treatment when no professional personnel are present, the satellite communication unit enables global network connectivity without dead zones and autonomous operation even when the network is down, and the plasma replenishment unit achieves rapid cold chain docking and replenishment via a low-altitude aircraft. This invention solves the problems of delayed emergency rescue in remote scenarios, limited functionality of vehicle-mounted equipment, and difficulties in plasma storage and transportation, achieving zero-distance on-site emergency rescue, seizing the golden treatment time, and is suitable for large-scale standard configuration in private cars. It can significantly improve the survival rate of patients with sudden critical illnesses and has extremely high social value and feasibility for implementation.

The invention belongs to the technical field of health management, and particularly relates to a risk assessment and personalized scheme generation method based on multi-source health data. The method comprises the following steps: collecting health data of a user; cleaning, converting and standardizing the collected health data, and constructing a user health portrait and derivative features; inputting the processed health data into a pre-trained artificial intelligence model cluster which comprises a stacked integrated learning model and an interpretable random forest model which are respectively used for critical disease risk probability assessment and specific health risk classification assessment; dividing risk grade categories according to the risk assessment result; based on the health data and the risk level category, generating a personalized health intervention scheme by retrieving the enhancement generation architecture; and dynamically updating a risk assessment and intervention scheme according to follow-up visit data to form a self-adaptive health management closed loop.

The application discloses application of norisoboldine or a pharmaceutically acceptable salt, a polymorph or a solvate thereof in preparation of a drug for preventing or treating myocardial ischemia-reperfusion injury. It is found that the compound can rapidly target ischemia-reperfusion damaged myocardial cells, inhibit ROS / MDA oxidative stress, quench inflammation storm, and reversely change mitochondrial membrane potential collapse, down-regulate pro-apoptotic protein Bax and up-regulate anti-apoptotic protein Bcl-2, and then inhibit Caspase 3 cleavage, thereby effectively blocking a lethal apoptosis network of myocardial cells from the source. The drug can significantly improve the survival rate of myocardial cells and reduce the myocardial infarction area, and provides a multi-target, mechanism clear new candidate drug for clinical prevention and treatment of acute cardiovascular critical illness.

The utility model provides an inhalation administration device for respiration and critical disease medicine, and belongs to the technical field of administration devices. Comprising an auxiliary component, an annular sleeve plate slidably sleeves the outer wall of a suction nozzle, an elastic arc piece is arranged at the top of the annular sleeve plate, a sealing separation blade is arranged at one end of the elastic arc piece, a sealing gasket is arranged on the outer wall of the sealing separation blade, a connecting sleeve is arranged on the outer wall of the sealing separation blade, a sealing push piece is arranged at the top of the annular sleeve plate, and one end of the sealing push piece is connected with the outer wall of the sealing separation blade. According to the utility model, by arranging the auxiliary parts, the sealing baffle plate and the sealing gasket can be tightly attached to the face of a patient in the use process, so that the problems that the suction nozzle is not completely contacted with the mouth, the sealing performance is insufficient, the medicine can possibly escape from a gap when the patient inhales the medicine, the dosage of the inhaled medicine is reduced, and the treatment effect is influenced are solved; in addition, the sealing effect on the joint of the mouth and the suction nozzle can be guaranteed when different people use the device, and the application range of the device can be widened to the maximum extent.

The invention discloses an auxiliary limb exercise device for nursing of acute and critical diseases, and relates to the technical field of medical instruments, an expansion plate capable of limiting and self-locking is assembled in a base in a sliding manner, a first storage groove is formed in the expansion plate, and a folding seat frame is stored in the first storage groove; a lower limb exercise mechanism is arranged on the base, the lower limb exercise mechanism comprises two pairs of main frame bodies and auxiliary frame bodies which are integrally connected, an equipment rear plate is arranged between the two main frame bodies, a reciprocating transmission chain is assembled between the main frame bodies and the auxiliary frame bodies, and a plurality of pedals are fixed on the transmission chain; an upper limb exercising mechanism is arranged on the rear portion of the main frame body and comprises a rotating disc, pulling arms are arranged on the two sides of the rotating disc, and grabbing rods are assembled below the pulling arms. Compared with the prior art, the invention has the advantages of comprehensive functions, strong space adaptability, rich personalized adjustment and high comfort and convenience.

The invention provides an acute critical disease auxiliary data analysis method and system based on 5G and AR glasses, and relates to the technical field of data analysis, 5G wireless connection and data transmission are carried out on a base node, a transfer node and an expert node, first transfer analysis data are acquired through an AR glasses all-in-one machine of the base node, feature extraction and feature critical analysis are carried out, and the first transfer analysis data are transmitted to the expert node; the extracted features are uploaded, and then a first feedback instruction output by the expert node is obtained; the base layer node carries out operation collection according to the marking point information output by the expert node, carries out second feature extraction and critical analysis on the obtained marking point operation collection data, then uploads second feature extraction data, and obtains a second feedback instruction output by the expert node; and performing instruction contradiction analysis, performing operation acquisition abnormity judgment and early warning according to instruction contradiction analysis data, and obtaining expert node guidance information, thereby realizing remote communication and guidance for acute and critical diseases.

The utility model relates to a kind of weighing devices, comprising: load-bearing support, including the main body capable of cover being located in sickbed and the load-bearing crossbeam located in the top of the main body;Lifting assembly, located on the main body, and the lifting assembly is used to drive the load-bearing crossbeam to ascend or descend;Hanging scale, located on the load-bearing crossbeam;Net bag, with the detachable connection of the hook of hanging scale. Even to the patient who is partially inconvenient, bedridden or critical illness, only need patient to turn in sickbed can enter net bag. After moving main body cover is located in sickbed, and using the hook of hanging scale to fix net bag, then drive lifting assembly to drive load-bearing crossbeam to ascend, and the patient in net bag is weighed. Without carrying patient, reduce the work intensity of medical staff, reduce the discomfort of patient.

The invention belongs to the technical field of child severe risk prediction, and discloses a child severe mycoplasmal pneumonia risk prediction method based on a dynamic column graph, and the method comprises the following specific steps: 1, receiving user input, and receiving multiple clinical indexes of a child patient input by a user through a Web interface; 2, sending data, and automatically sending the input data to a server without refreshing a page; and step 3, risk prediction model calculation: the server calls a pre-stored risk prediction model to carry out processing calculation so as to obtain a risk probability value. The quantitative prediction model pre-trained in the background and based on the multi-dimensional clinical data is called for calculation, a subjective judgment mode depending on the personal experience of a doctor is abandoned, the model is obtained based on large-scale clinical data training, the weight and the structure of the model are fixed and objective, the system outputs an accurately quantified risk probability value for each child patient, and the accuracy of the risk probability value is improved. And missed judgment or misjudged judgment caused by experience difference of doctors is greatly reduced.

The utility model relates to the technical field of medical nursing equipment, and discloses a critical case shifting nursing chair which comprises a movable chair seat and an opening and closing chair leaning part movably arranged at the upper end of the movable chair seat in a sleeving mode, a pushing supporting part is fixedly arranged on the movable chair seat, a hydraulic jack is installed on the movable chair seat, and the hydraulic jack is fixed on the movable chair seat. A hydraulic top telescopic end is arranged on the movable chair seat, a pushing block for upwards pushing the retractable chair backrest part is arranged at the top end of the hydraulic top telescopic end, and a supporting frame for supporting the retractable chair backrest part is arranged at the hydraulic top telescopic end. During use, a patient sits on the bedside, the movable chair seat is pushed to the bedside, and the retractable chair backrest part is combined and then placed below the hip of the patient; the hydraulic jack is used for jacking the opening and closing chair backrest part, so that the opening and closing chair backrest part is separated from the bed surface and is convenient to move out, and after the opening and closing chair backrest part is moved out, the supporting frame is used for supporting the suspended end of the opening and closing chair backrest part, so that the bearing capacity of the opening and closing chair backrest part is improved.

The utility model discloses an acute and critical pathology dosing device, which relates to the technical field of medicine adjuvant therapy, and comprises a vertical cylinder and a guide tube at the bottom, a piston rod and a piston head at the bottom are inserted in the vertical cylinder, a handle for holding is arranged on the side surface of the vertical cylinder, and a channel for communicating the top and the bottom of the vertical cylinder is arranged in the handle; according to the scheme, when liquid medicine is fed to a patient, the guide tube can be inserted into the throat of the mouth of the patient, the piston rod can be slowly lifted upwards, and the liquid medicine slowly ascends in the vertical cylinder, flows to the top end of the channel, then flows to the bottom end of the channel and finally enters the bottom of the vertical cylinder, is communicated up and down and can smoothly flow into the body of the patient; the flow guide cover is installed on the top of the vertical cylinder through threads, the top of the flow guide cover is open upwards, and due to the design, medical workers can conveniently and rapidly pour liquid medicine, and the sealing performance in the operation process is guaranteed.

The invention discloses an intelligent rehabilitation constraint glove suitable for a neurological severe user. The intelligent rehabilitation constraint glove comprises a glove body, a signal acquisition module, a signal processing module, a control module, a constraint execution module and a rehabilitation training module. The signal acquisition module synchronously acquires a hand motion signal and a vital sign signal of a user; the signal processing module performs homologous coupling analysis on the synchronously acquired signals to generate a risk score representing the central nervous driving state of the user; the control module generates a control instruction based on the risk score; the constraint execution module dynamically adjusts the constraint strength according to the control instruction; the rehabilitation training module adjusts a rehabilitation training mode according to the control instruction. Through homologous coupling analysis and intelligent decision making of multi-modal signals, integrated intelligent management of constraint and rehabilitation functions is achieved, prospective early warning and personalized intervention can be carried out according to the central nervous state of a user, the safety of the user is effectively guaranteed, and functional recovery is promoted.

This application discloses a multimodal frequency domain enhanced critical illness prediction method and device. The method involves acquiring first and second data; extracting the frequency domain amplitude spectrum, phase spectrum, and multi-scale wavelet coefficients corresponding to each modal time-series signal; extracting static features from medical record data; fusing the static features with the frequency domain amplitude spectrum, phase spectrum, and multi-scale wavelet coefficients corresponding to each modal time-series signal to obtain a multimodal feature matrix; constructing a frequency enhancement prediction model; and inputting the multimodal feature matrix into the frequency enhancement prediction model to obtain the prediction results output by the frequency enhancement prediction model. By integrating multimodal time-series signals and static medical record data, and combining time-frequency analysis to fully capture the global frequency domain characteristics and local time domain details of the signal, this method effectively improves the accuracy and real-time performance of predicting the condition of critically ill patients, thereby providing reliable data support for clinical diagnosis and treatment decisions.