921 results about "First aid" patented technology

The invention discloses a time-space alignment fusion processing method and system for multi-source physiological signals, and relates to the technical field of data processing.The method comprises the steps that the multi-source physiological signals in the limb movement state are synchronously collected, and a heterogeneous time sequence data set is obtained; performing space-time alignment processing on the heterogeneous time sequence data set to generate a synchronous physiological signal matrix; performing signal quality evaluation based on the synchronous physiological signal matrix, constructing a weighted decision tree model, performing confidence fusion on the synchronous physiological signal matrix according to the weighted decision tree model, and generating multi-parameter joint monitoring data; and performing motion artifact suppression processing on the multi-parameter joint monitoring data, outputting a physiological parameter index set, and transmitting the physiological parameter index set to a first-aid equipment monitoring terminal. Therefore, the technical effects of eliminating signal distortion, improving monitoring data quality and ensuring first-aid monitoring precision are achieved.

The invention provides a first-aid information processing method and system based on multi-source data fusion. The method comprises the following steps of: performing deep association matching and modeling on an emergency event by utilizing a multi-source heterogeneous data stream, a geographic position, a timestamp and environmental perception data which are acquired in real time to obtain a dynamic emergency event situation model; according to the dynamic first-aid event situation model, a resource optimization algorithm is adopted to evaluate and select the most suitable first-aid resource, and a first-aid resource configuration scheme and instant guidance information are obtained; updating the state of the patient based on the first-aid resource allocation scheme and the instant guidance information, and obtaining a dynamically adjusted first-aid process and an optimized path scheme through geographic information system path planning analysis, first-aid strategy adjustment and resource allocation path optimization; and integrating various feedback data related to the dynamically adjusted emergency process and the optimized path scheme, carrying out post analysis, and generating an optimized guide. According to the technical scheme provided by the invention, the first-aid information processing efficiency is greatly improved.

The invention discloses a nursing pressure real-time monitoring system and method based on multi-modal data. The system comprises a data acquisition module, an intelligent analysis module, an analysis module and a real-time feedback module. The data acquisition module synchronously acquires physiological data, behavior activity data and environment situation data of nursing personnel and forms a nursing signal; the analysis module receives the nursing signal from the data acquisition module, receives the dynamic situation information from the intelligent analysis module, and generates a pressure state signal containing pressure event evaluation; the real-time feedback module receives the pressure state signal containing the pressure event evaluation from the analysis module, and generates and outputs a real-time feedback signal based on the pressure state signal. According to the nursing pressure real-time monitoring system and method based on the multi-modal data, the problem that traditional wearable equipment only collects physiological behavior data and cannot be associated with specific nursing situations such as drug administration operation and patient first aid can be solved.

The invention discloses pre-hospital emergency medical aid emergency help integrated equipment and system. The method comprises the following steps: S1, acquiring key vital sign data of a patient by using medical equipment; s2, calling basic information and medical history of the patient through equipment; s3, transmitting the collected data to a server of a remote data processing center in real time; s4, performing comprehensive analysis on the received vital sign data and the medical history information of the patient by applying a pre-trained deep learning model on the server, and generating a prediction report; s5, displaying a prediction result on a portable device or a remote monitoring station in real time by using a data visualization technology; s6, based on a visual prediction result and medical history analysis, guiding first-aid personnel to take targeted emergency medical measures; and S7, continuously monitoring the vital sign response of the patient and any health change related to the medical history, and updating the treatment strategy according to the further analysis of the deep learning model.

According to the method, multi-modal data such as voice, images, texts, GIS and Internet of Things sensing are fused, and deep neural network prediction, reinforcement learning scheduling optimization and rule engine compliance check are combined; the intelligent vehicle and material dispatching method and system are applied to multiple scenes such as emergency material storage depots, fire-fighting emergency command, urban disaster response, traffic accidents and medical first aid. The system is interconnected and intercommunicated with an intelligent emergency material storage cloud platform, a city brain, Beidou navigation, intelligent fire fighting and other external platforms, and supports one-key issuing, path optimization, traffic signal linkage and whole-course return closed loop. Compared with the prior art, the method has the advantages that unification of multi-modal situation awareness, data-driven optimal scheduling and expert knowledge constraints is realized, the response time is remarkably shortened, the resource utilization rate is improved, and compliance safety is ensured.

The invention provides a first-aid method and system based on 5G communication and an edge device. The method comprises the following steps: determining a communication protocol target adaptation protocol with a 5G base station based on the edge device; obtaining multi-modal data according to the target adaptation protocol based on the edge device, and performing priority classification on the multi-modal data to obtain a priority classification result; evaluating the 5G network resources of the edge device, determining a resource evaluation result, and determining a cloud transmission strategy based on the resource evaluation result and the priority classification result; performing association analysis on the vital sign data, the medical image data and the voice record data to obtain a calculation task and task complexity, processing the calculation task based on the task complexity and a cloud transmission strategy, and determining a data processing result; and data processing results are transmitted to the first-aid smart center and the mobile terminal in a grading manner. According to the method and the device, the compatibility problem caused by non-uniformity of device interfaces is solved, and the edge device processing capability is improved.

The invention relates to the field of medical instruments, in particular to a marine war wound hemostasis fixing device which comprises a framework, a hemostasis module, a fixing module and an intelligent monitoring module are mounted on the framework, the framework comprises a plurality of angle-adjustable split arc-shaped assemblies, and the arc-shaped assemblies are connected in series through flexible connecting pieces; the hemostasis module comprises a gradient pressure air bag assembly, the gradient pressure air bag assembly comprises a central pressurizing bag and a peripheral stabilizing bag, the gradient pressure air bag assembly is communicated with a multi-stage air pump assembly, and the multi-stage air pump assembly is installed on one side of the framework; the intelligent monitoring module comprises a controller, an acceleration sensor, a pressure sensor, a microwave blood flow sensor and a biological impedance monitoring electrode, and the multistage air pump assembly, the acceleration sensor, the pressure sensor, the microwave blood flow sensor and the biological impedance monitoring electrode are all in signal connection with the controller. The invention aims to overcome the defects in the prior art, and provides an efficient, reliable and intelligent solution for maritime war wound first aid.

The invention discloses an examination item scheduling system and method based on patient examination demand optimization, and relates to the technical field of medical first aid, and the system comprises an information obtaining module which is used for obtaining the basic information and the emergency examination demand of a patient; the priority evaluation module is used for evaluating the priority of the patient based on the vital signs and the disease severity of the patient; the scheduling generation module is used for generating an optimized examination item scheduling table so as to ensure that high-priority patients are examined preferentially; the state monitoring module is used for monitoring the state of the patient in real time and dynamically adjusting the examination item scheduling table according to the state change, and the result sending module is used for sending the final examination item scheduling table to the corresponding medical equipment and the doctor terminal; according to the examination item scheduling system and method based on patient examination demand optimization, the problem that in the prior art, when critical patients in the emergency department are rapidly shunted, first-aid response is slow due to priority judgment errors is solved.

The invention relates to the technical field of artificial intelligence auxiliary medical treatment, and provides an artificial intelligence-based marine first aid auxiliary diagnosis method and system. The method comprises the following steps: receiving a real-time multimedia data stream from an offshore first-aid site; carrying out conjoint analysis on the image and audio information, positioning key elements of the involved injured individuals and the surrounding environment, and obtaining an emergency scene description after enhanced analysis; extracting professional suggestions suitable for the current first-aid situation in combination with correction parameters of influences of specific variables of the marine environment on injuries and patients; activating a remote expert system, interacting with field first-aid personnel through two-way video communication, and generating personalized guidance information; and combining the personalized guidance information with the calibrated visual field of the first-aid personnel, and displaying decision support information provided by artificial intelligence in the visual field of the first-aid personnel. According to the technical scheme, the first-aid response speed and accuracy are improved, and it is ensured that the wounded patient obtains the most appropriate medical treatment in the first time.

The invention discloses an AED intelligent first-aid management system based on the Internet of Things, and relates to the technical field of first-aid management, and the system comprises a data collection and transmission module, a first-aid decision support module, a resource scheduling and cooperation module, and a first-aid training and evaluation module. The first-aid decision support module processes acquired data by using big data analysis and an artificial intelligence algorithm, quickly judges the type and severity of cardiac arrest, generates a personalized first-aid scheme and pushes the personalized first-aid scheme to first-aid personnel equipment, and the resource scheduling and collaboration module tracks AED equipment and personnel information in real time, plans and deploys a path and an attendance route in combination with road conditions, and sends the path to the first-aid personnel equipment. The system is connected with a hospital system to realize efficient cooperation of first aid; through deep fusion of the Internet of Things technology, big data and artificial intelligence, an efficient and intelligent AED first-aid management system is constructed, the first-aid response speed and success rate are remarkably improved, and precious treatment time is won for patients.

The invention discloses a rapid identification method applied to defibrillation requirements of an AED device, and belongs to the technical field of medical equipment. According to the method, multiple links including acquisition, preprocessing, feature extraction, mode classification, real-time classification and defibrillation triggering work cooperatively, and advanced signal classification and mode recognition technologies are introduced, so that efficient and accurate electrocardiosignal analysis is realized in the AED device, the response speed and accuracy in the emergency treatment process are remarkably improved, and the emergency treatment efficiency is improved. Multi-dimensional features of electrocardiosignals are extracted and input into a pattern classification model, automatic recognition of arrhythmia is achieved, whether defibrillation operation needs to be carried out or not can be accurately judged, the possibility of misjudgment is reduced, self-optimization can be carried out according to new electrocardiosignal data through a dynamic learning and retraining mechanism, and the accuracy of defibrillation is improved. The adaptive capacity to a complex heart rhythm mode is improved, the first-aid response time is effectively shortened, the safety of a patient is guaranteed, and the first-aid efficiency and the treatment effect are improved.

The invention discloses a portable field multifunctional medical instrument, and relates to the technical field of medical instruments, the portable field multifunctional medical instrument comprises a shell with a Y-shaped cross section, a main frosted knife abutting against an ampoule bottle opening is arranged at the middle position of the shell, and a curved plate located above the main frosted knife is arranged at the middle position of the shell; a driving assembly used for driving the curved plate to move to impact the tip end of an ampoule bottle to achieve shell ejection is arranged in the shell, a bottle opening groove used for opening an aluminum cap bottle is formed in the lower surface of the shell, and the bottle opening groove is composed of a plurality of sections of curved surfaces of different sizes. The device integrates the multiple functions of bottle opening, marking, horizontal positioning, guiding and the like, medical staff can achieve various operations by taking the device without repeatedly finding and taking various medicine related tools in a first-aid kit, the time of the medical staff is saved to a certain degree, and the life rescue efficiency is improved.

The invention discloses an intelligent assessment and decision-making system for traumatic patient first aid, and particularly relates to the field of medical first aid data processing, and the system comprises a multi-source fusion module, a type inference module, a path generation module, a model iteration module, and first aid monitoring equipment and an image terminal which are used in a patient first aid process. The multi-source fusion module is used for acquiring a patient first-aid information set through first-aid monitoring equipment and an image terminal, performing data standardization processing on the patient first-aid information set, extracting a feature code set and constructing an individualized injury map; and the type inference module is used for solving spatial morphological characteristics and dynamic evolution paths of the individualized injury maps, executing trauma type inference and pathological factor modeling, and generating trauma-pathological risk portraits. Based on dynamic modeling of a patient first-aid information set and a trauma-pathology risk portrait, a first-aid path is derived in combination with resource constraint and physiological state change, adaptive iteration is executed, and an intelligent decision-making system conforming to heterogeneity trauma features is constructed.

The invention discloses a personalized sleep intervention and first aid method and system based on multi-modal data fusion. The method comprises the steps that physiological index data and motion data of a user are collected in real time through wearable equipment; generating a sleep quality score based on the physiological index data in combination with a preset sleep quality evaluation model; generating a personalized sleep intervention scheme according to the sleep quality score and the motion data; the sleep intervention module is started by manually triggering or automatically detecting the insomnia state of the user; according to the physiological index data monitored in the sleeping process, the indexes exceeding the standard are recorded, and a prompt is given out after waking up the next day, or a first-aid mode is triggered. The personalized dynamic sleep intervention scheme is generated by quantifying the physiological indexes of the user, and the limitation of a single sensor is broken through; sleep intervention can be triggered in multiple modes, the intervention intensity can be dynamically adjusted according to the real-time physiological state, the first-aid mode can be automatically started, and first-aid delay is avoided.

The invention provides an intelligent marine emergency equipment automatic positioning method and system. Wherein multiple distress signals are received and fused, and optimal geographical location information and timestamps are generated; determining a distress area on a preset sea area electronic map, correcting a distress position, evaluating probability distribution of each potential distress area, and generating a primary search target with the highest probability; a thermal imaging and optical sensing system on the rescue unmanned aerial vehicle is started for scanning, and a high-accuracy potential survivor position is generated; the search and rescue path is dynamically adjusted and optimized, the search strategy is adjusted, the optimal flight path is updated in real time, and an economical and efficient search and rescue path plan is generated; and timely feeding back the accurate coordinates of the position of the potential survivor to the nearest rescue coordination center, and guiding first-aid equipment to go along the optimal path to implement rescue. According to the technical scheme provided by the invention, the search and rescue efficiency and accuracy are improved, and the position of a potential survivor can be quickly and accurately positioned.

The invention discloses a field first-aid data processing method and device based on a multi-modal intelligent algorithm and a medium, and the method comprises the steps: obtaining field first-aid data, including wound image data and injury condition description voice data; analyzing the wound image data through a wound classification model to determine a wound image classification result, converting the wound condition description voice data into characters, and performing text correction through a large language model; comparing the corrected text with a wound picture classification result, and performing information fusion when the result is consistent; and taking the fused information as the input of the multi-modal large model, and fusing a retrieval enhancement generation method to accurately output a processing result. According to the method, multiple data sources can be fused, the autonomous decision-making ability is achieved, and the method has great significance in improving the efficiency and accuracy of field first aid.

The invention discloses a simulation drill commanding and dispatching method and system based on multi-role cooperation. A simulation scene combining a static environment and a dynamic disaster model is constructed through a three-dimensional graphic engine. The distributed participants access the system through the communication network, and the role management module distributes role permissions of general commanders, directors, emergency groups and the like to the distributed participants. The guiding and dispatching personnel can set disaster parameters and inject emergencies, and the general command can check scene states in real time and issue command and dispatching instructions. And each group terminal executes virtual operations such as disaster disposal, evacuation guidance, first aid and public opinion control according to the instruction, calculates the influence in real time through a disaster model and synchronizes the influence to all the terminals. And the data recording module is used for collecting the whole process event, and generating a quantitative evaluation report and three-dimensional redisk content after the drilling is finished. Cross-region, multi-role, high-simulation and quantifiable emergency drilling is realized, and the problems of single role, weak interactivity and lack of evaluation ability of traditional drilling are effectively solved.

The invention relates to the technical field of medical care informatics, in particular to an automatic drug delivery system for first aid of hypoglycemia patients, comprising: a data acquisition module for acquiring a blood glucose level curve and an acceleration monitoring curve; the evaluation value determination module is used for determining a second evaluation value in an unconscious faint state according to the blood glucose level curve and the acceleration monitoring curve; the intensity value determining module is used for determining the first-aid intensity value of the hypoglycemia patient according to the second evaluation value and the target curve segment of the acceleration monitoring curve; the first-aid operation module is used for providing first-aid operation of the corresponding level for the hypoglycemia patient through the first-aid intensity value. According to the invention, the first-aid intensity value is determined, so that the drug delivery system for first aid makes the corresponding response operation, and the first-aid effect of the hypoglycemia patient is improved.

The invention relates to the technical field of medical training equipment, and particularly discloses a training device for trauma first aid simulation, which comprises a thoracic cavity model and further comprises a mounting cavity, and the mounting cavity is formed in the thoracic cavity model; the pressing assembly is mounted in the chest model; the driving assembly is installed on one side of the pressing assembly, the driving assembly moves when the pressing assembly acts, the detection block is fixed to the driving assembly, and the driving assembly drives the detection block to move synchronously when moving; the detection assembly is installed at the end of the driving assembly, whether the pressing force is appropriate or not is judged by observing whether a detection block normally makes contact with the detection assembly or not and the change of the force feedback assembly, the pressing force of the user is adaptively adjusted according to the trained result, and therefore targeted training is conducted according to the trained result; the training efficiency of trainees can be effectively improved, so that the trainees can train proper pressing force in a short time.

The invention discloses a pre-hospital emergency rescue command and dispatch optimization method and system, and relates to the technical field of intelligent medical first aid, and the method comprises the steps: collecting the position coordinates of a patient and a first aid resource state, carrying out the medical resource matching through combining with the injury condition level, and constructing a three-dimensional resource matrix; converting the three-dimensional resource matrix into discrete decision topology, and performing multi-state parallel evolution through a quantum annealing processor to generate an optimal resource allocation scheme; based on the optimal resource allocation scheme, path optimization is carried out in combination with real-time road conditions, sudden obstacles and environment changes, and a driving route optimization instruction is generated; and in the process of executing the driving route optimization instruction, monitoring the vehicle driving state deviation and the multi-vehicle collaborative collision risk in real time, triggering a multi-dimensional perception collaborative optimization mechanism, and generating a dynamic driving route. According to the method, the global optimal solution of the high-dimensional resource combination is realized through quantization mapping from the three-dimensional resource matrix to the discrete decision topology in combination with the polymorphic parallel evolution and energy level transition of the superconducting quantum bit group.

The invention relates to the technical field of medical nursing first-aid equipment, in particular to a nursing first-aid device convenient to store, which comprises two storage frames, a buckling lock is arranged at the butt joint of the two storage frames, the nursing first-aid device further comprises a connecting part, the connecting part is arranged at the joint of the two storage frames, two through holes are formed in the adjacent sides of the two storage frames, and the two through holes are communicated with the two storage frames. The cardio-pulmonary resuscitation equipment storage box is characterized in that a through hole is formed in one storage frame, a limiting opening is formed in the through hole, two connecting rods are arranged in one storage frame, one end of each connecting rod penetrates through the through hole in a sliding mode, a butt joint opening is formed in the other end of each connecting rod, and a butt joint piece matched with the butt joint opening is installed in the storage frame. According to the simple stretcher, the two storage frames can be detachably operated, meanwhile, through cooperation of the connecting rods and the locking parts, the storage boxes of the two disassembly openings can be unfolded and installed, and by means of installation of the lifting rods and the folding pads, assembling of the simple stretcher is achieved, a patient is conveniently transferred, and the time for waiting for rescue is shortened.

The invention provides a multi-center special disease first-aid cooperation and data closed-loop method and system based on AI, and relates to the technical field of medical information, and the method comprises the steps: extracting diagnosis and treatment information from multi-center special disease first-aid historical cases, constructing a knowledge pedigree, and formulating diagnosis and treatment standard specifications; calculating an optimal hospital by using federated learning based on the first-aid data and the decentralized node network; feature extraction and correlation analysis are carried out on special disease first-aid data, influence factors are positioned through a traceable chain, and dynamic updating of special disease knowledge pedigree is realized. According to the invention, the cooperative efficiency of special disease first aid is improved, optimal allocation of first aid resources is realized, and a data-driven special disease diagnosis and treatment continuous optimization mechanism is formed.

The invention belongs to the technical field of medical instruments, and particularly relates to a portable pneumothorax catheterization device compact in structure and efficient in operation. The portable pneumothorax catheterization device comprises a puncture mechanism, an auxiliary fixing assembly and an adjusting assembly are arranged on the puncture mechanism, and a drainage tube is detachably connected into the puncture mechanism; the end, away from the puncture mechanism, of the drainage tube is connected with the collection bottle, a one-way valve is arranged at the end of the drainage tube, a through hole and a flowing groove are formed in the end, away from the one-way valve, of the drainage tube, and a thin tube is arranged in the drainage tube and communicated with the air bag. According to the safe and reliable portable pneumothorax catheterization device, a supporting cylinder, a limiting block and a reset spring of the puncture mechanism are linked, a puncture needle can be driven to stretch out for puncture by rotating the supporting cylinder, catheter propelling is synchronously completed, and traditional tedious steps such as puncture and incision are omitted; auxiliary instruments such as scissors and pliers are not needed, the problem that a traditional process is complex is solved, the method is suitable for emergency scenes such as pre-hospital first aid and field rescue, and time is won for rescue.

The present application relates to the field of simulated emergency drills, and specifically discloses an emergency decision simulation system based on behavior trees and multi-resolution deaggregation. The emergency decision simulation system based on behavior trees and multi-resolution deaggregation includes a decision simulation system and a simulation deduction system; the decision simulation system includes a decision rule editor and a decision scheduling engine; the decision rule editor includes a mission layer, a task layer, and an action layer; the mission layer behavior tree, the task layer behavior tree, and the action layer behavior tree are linked through reference nodes; the mission layer behavior tree uses a prevention and control reference node, a search and rescue reference node, an emergency reference node, and a transfer reference node as the lowest level node of the mission layer behavior tree and the root node of the task layer behavior tree, and is provided with a situation processing node and a blackboard decoration node, so that the resolution gap and its impact on simulated emergency drills can be reduced, and the flexibility of simulated emergency drills and their coordination with real-time environments can be improved.

The invention belongs to the technical field of computer vision, discloses a sign language-first aid medical term real-time translation system and method for a pre-hospital first aid scene, belongs to the technical field of computer vision and medical information crossing, and aims to solve the problem that a deaf-mute patient has communication barriers with medical care during pre-hospital first aid. The problems that general sign language translation deviates from medical terms, depends on a network and does not have two-way inquiry are solved; the system is deployed on a Pad terminal with a camera, runs locally and comprises a sign language acquisition unit, a feature recognition unit, a first-aid medical sign language library unit, a term matching unit and a bidirectional output unit. Collecting a sign language video of a patient, extracting hand track and posture features, matching terms in a library, and feeding back to medical care in the form of characters and voice; the system realizes real-time inter-translation, does not depend on the network, adapts to the emergency inquiry process, ensures the accuracy of illness state information, and effectively improves the pre-hospital emergency communication efficiency and the disposal accuracy.

A styptic harness tourniquet used by hands for providing a first aid to stop external arterial bleeding from injured limbs. The harness consists of a casing with Velcro fastener, a sling, a buckle at one end of the casing and a base with fixator with strap, windlass rod attached to the sling. The casing has at least two layers, the buckle contains at least one hole, the base contains at least six holes, and the strap of the fixator contains at least one hole. The holes in the buckle and base have teeth on one side. The windlass rod contains at least 1 cm of a smooth surface and at least 1.5 cm of a ribbed surface at the edges. The harness increases the reliability of the structure and the efficiency of its operation.

The invention provides a remote first-aid collaborative decision-making platform based on AI driving and an implementation method of the remote first-aid collaborative decision-making platform. The AI-driven remote first-aid collaborative decision-making platform comprises a position acquisition module which is used for a remote first-aid collaborative cloud platform to determine the position of a current first-aid event; the hospital screening module is used for determining a target first-aid hospital according to the first-aid safety coefficient between the first-aid event position and the candidate hospitals and dispatching the target first-aid hospital to dispatch an ambulance to the first-aid event position; and the data sharing module is used for sharing the first-aid data to the hospital terminal of the target first-aid hospital in real time through the remote first-aid collaborative cloud platform. The method comprises the steps corresponding to the system module. According to the invention, the first-aid efficiency is improved, the resource configuration is optimized, and the cooperative capability is enhanced.

The invention relates to a hemostasis method scheduling and priority ranking method in war wound first aid. The method comprises the following steps: acquiring key parameters of a wounded person based on multi-source data including visual images, wearable physiological monitoring and voice input, wherein the key parameters include the bleeding amount, the wound part, the bleeding speed and vital signs; constructing a hemostasis urgency degree evaluation model, and mapping each wounded person into a hemostasis urgency degree index BUI; each BUI index is used as one of input parameters for subsequent scheduling and sorting, so that the system is driven to start by injury conditions, and a basic priority sequence is established; the method comprises the following steps: carrying out classification modeling on common hemostasis methods including tourniquets, hemostatic gauze, injection type hemostatic agents and air pressure hemostasis equipment, and establishing an applicable condition matrix; constructing a scheduling rule engine, and dynamically recommending a matched hemostasis method set in combination with the BUI index of the wounded, the wound part, the means adaptability and the risk factor; and a scheduling algorithm is utilized to distribute hemostasis means combination and sequence for each wounded.

The invention provides a coronary heart disease first-aid device, and relates to the technical field of medical instruments. When the coronary heart disease first-aid device works and needs to be used, the telescopic expansion assembly is started, a first hydraulic push rod on one side of the bottom of the supporting base is started, the output end of the first hydraulic push rod pushes a first connecting block to move, the first connecting block drives a first supporting block on the top to move, and then the first supporting block moves; a first rotating rod rotationally connected with a first supporting block rotates along with the first supporting block to push an expansion plate to be unfolded, meanwhile, a first fixing block slides on a second limiting block to play a role in guiding and limiting, and it is ensured that the expansion plate is stably unfolded, the first-aid assembly is used for first aid, and a patient is fixed to the supporting seat through a first bandage and a second bandage; the electrode plates collect physiological data or discharge defibrillation for emergency treatment, the display screen displays related information, and the control button can be operated and controlled to meet the emergency treatment requirement of a patient.

The invention discloses a multi-hospital first-aid collaborative strategy recommendation method and system, and relates to the technical field of pre-hospital first-aid collaboration.The method comprises the steps that spare medical resource information is acquired in real time, and an initial collaborative strategy set is acquired based on the spare medical resource information according to department and hospital positions and basic first-aid configuration; acquiring historical medical resource use information, and constructing a medical resource candidate influence relationship based on the medical resource use frequency and the importance degree according to the historical medical resource use information; and responding to the first-aid information, matching an initial collaborative strategy according to the first-aid information, generating an auxiliary collaborative strategy according to the medical resource candidate influence relationship, and executing collaborative strategy recommendation according to the initial collaborative strategy and the auxiliary collaborative strategy. The method has the beneficial effects that the medical resource scheduling efficiency and the anti-risk capability in the emergency treatment process are improved.