33 results about "Emergency centre" patented technology

The dynamic monitoring system for the senile cardiac patient comprises a multi-mode sensor module, a data processing module, an analysis module and an alarm module. The multi-modal sensor module collects parameters to generate a multi-modal physiological signal; the data processing module generates a preprocessing signal; the analysis module performs real-time analysis on the pre-processed signal based on a preset elderly electrocardiogram characteristic model to generate a graded alarm instruction; the alarm module triggers corresponding local reminding, remote notification or first-aid linkage response according to the graded alarm instruction, wherein the first-aid linkage response automatically sends the patient position and key physiological data to a specified first-aid center through the first-aid communication module; wherein the self-adaptive adjustment of the multi-mode sensor module comprises the step of dynamically optimizing signal gain according to a skin contact state. According to the dynamic monitoring system for the senile cardiac patients, the problems that dynamic monitoring of the senile cardiac patients is poor in real-time performance, high in false alarm rate and delayed in first-aid response can be solved.

The invention belongs to the technical field of medical health management, and particularly relates to an AI-integrated acute chest pain rapid identification and evaluation system and method, and the method comprises the steps: firstly monitoring the sign data of a target patient in real time; then generating a distributed file storage unit according to a preset AI prompt word, and respectively storing the monitored sign data of the target patient according to the category of the AI prompt word; meanwhile, historical diagnosis data of the acute chest pain patient in the target hospital is stored; then, a big data AI model is generated, and the big data AI model is accessed to the Internet and a distributed file storage unit for training; and finally, inputting the physical sign data of the data into the trained big data AI model, and outputting an acute chest pain recognition result of the target patient. According to the system, the physiological parameters of the patient can be monitored in real time, and meanwhile, key data during morbidity are uploaded to the medical emergency center, so that early recognition, quick response and precise treatment are realized, and the treatment efficiency and success rate are remarkably improved.

The invention relates to the technical field of intelligent old-age care and health monitoring. The invention provides a tumble detection and emergency response system for the elderly at home based on multi-modal sensing fusion, and the system comprises a sensing module which is used for collecting the multi-modal data of the elderly and at least comprises a depth camera array, an inertial measurement unit, a millimeter wave radar, an audio sensor array, and a pressure sensing pad; the decision-making module is used for receiving, synchronizing and processing the multi-modal data, comprises a dynamic confidence fusion engine and is used for calculating a dynamic confidence score for the data streams acquired by the sensing module in real time and carrying out information fusion through a collaborative game algorithm based on the dynamic confidence score of each data stream to obtain a multi-modal data fusion result; generating a fall detection decision with a situation tag; and the response module is used for executing grading emergency response operation and comprises a local alarm unit, a remote communication unit and an interface unit linked with a community service and emergency center.

The invention provides an edge multi-mode grading detection elder falling early warning method comprising the following steps: deploying an edge computing network comprising a master control node and a data node, and loading a context model according to a position; binding the face information of the user with the RFID tag through an identity confirmation camera; the data node triggers a millimeter wave radar to collect point cloud data through a human body infrared sensor; performing contour change rate primary detection, context model deep learning secondary detection and voice module state confirmation tertiary response; and after the tumble is confirmed, the master control node gives an early warning to the emergency center. The invention relates to the technical field of elderly monitoring.

The invention discloses a medical emergency center data information management system and method with high positioning precision, and the system comprises a multi-mode positioning terminal, an Ai central station and an emergency information integrated sharing platform, and the multi-mode positioning terminal collects original positioning data through a GPS, Bluetooth or UWB sensor; and distributing the processed data to the Ai central station according to the priority through the security gateway, outputting structured decision information to the first-aid information integrated sharing platform after Ai processing, realizing cross-department cooperative completion of a first-aid task, and returning an actual rescue result to the Ai central station for model optimization. According to the scheme, the multi-source fusion positioning technology is adopted to improve the positioning precision, the corresponding optimal positioning modes are selected for different areas, the first-aid response time is shortened, and the patient can be rescued more quickly; moreover, after the information of the patient is collected, key data can be encrypted and stored, so that the confidentiality, traceability and safety of the data are ensured.

The invention discloses a medical emergency system based on dynamic graph flow prediction, and the method comprises the steps: S1, collecting traffic data recorded by all sensors through a medical emergency center system, and carrying out the preprocessing of the traffic data; s2, enabling the preprocessed traffic data to pass through a spatial-temporal feature embedding layer, and enabling the low-dimensional features of the traffic data to be converted into embedded vectors; s3, constructing a local adaptive graph and constructing a global dynamic graph generated by dynamic graph nodes through an embedded vector; s4, extracting spatial correlation between the local adaptive graph and the global dynamic graph through an adaptive gating fusion graph convolution module; s5, capturing time dependence of different scales through a multi-scale time gating convolution module; s6, forming a dynamic graph traffic prediction model in the steps S1 to S5, and pre-training the model; s7, the medical emergency center system loads the trained dynamic graph traffic prediction model to an emergency dispatching cloud platform for regulating and controlling a medical emergency channel in real time; the efficiency, the timeliness and the first-aid success rate of the medical first-aid channel are effectively improved.

The invention relates to the technical field of aged intelligent interaction, and discloses an aged intelligent interaction system and method for cognitive impairment and semi-disabled old people, a multi-modal information acquisition unit cooperatively works through voice, vision, touch, physiology, micro-action and environment perception units, and awakens and acquires multi-modal data as required; the adaptive processing unit performs multi-modal data verification, adaptive adjustment of an instruction guide mode and an intention recognition mode, adjusts an interaction mode according to a scene, and provides sound-visual-touch multi-mode feedback output; the cloud server interacts preset data with the adaptive processing unit, the remote collaboration unit synchronizes key data in the preset data to the remote terminal, triggers remote collaboration with the remote terminal and interface / scene sharing, and triggers remote alarm to the remote terminal and / or an emergency center when abnormity occurs. Potential risks are warned through the behavior baseline, and a remote terminal is triggered to limit care. According to the invention, an interaction system which is really adaptive to the physiological and psychological characteristics of the special group is constructed.

The invention discloses a myocardial infarction first-aid intelligent bracelet, which mainly comprises a physiological parameter detection module, an intelligent processing module, a medicine injection module, an alarm and communication module and a power supply module, and is characterized in that the biological parameter detection module is used for monitoring pulse, blood pressure and electrocardiosignals of a wearer in real time; the intelligent processing module is used for receiving data acquired by the physiological parameter detection module, comparing the data through a myocardial infarction early warning model and judging whether a myocardial infarction symptom exists or not; a micro injection needle and a medicine storage bin are arranged in the medicine injection module, and when the analysis module judges that a wearer has myocardial infarction symptoms, the injection needle is controlled to be punctured into the skin and inject first-aid medicine nitroglycerin; when the alarm and communication module detects myocardial infarction symptoms, alarm information is sent to an emergency center through sound, optical signals and wireless communication. By integrating the functions of detection, analysis, alarm and automatic nitroglycerin injection, instant intervention during myocardial infarction of a wearer is achieved, and golden rescue time is gained.

The application discloses a 120 emergency center ambulance task allocation method based on multi-algorithm combination optimization, and comprises the following steps: S1, acquiring the specific positions of all patients to be treated and their illness conditions, the specific positions of all idle ambulances, the specific positions of all hospitals and the treatment ability for each patient in a current time period; S2, constructing an ambulance task allocation evaluation function and a treatment effect evaluation function obtained by each patient; S3, performing path planning in combination with an A* algorithm to ensure that the ambulance selects an optimal route; and S4, using an Ito algorithm and a Newton-Raphson optimization algorithm to iteratively calculate the optimal allocation result of each patient, so that each patient can obtain emergency treatment. The application is superior to a traditional single-algorithm scheduling scheme in response time, treatment effect and resource utilization rate through multi-algorithm combination optimization, can efficiently perform multi-ambulance task allocation, and ensures that each patient can obtain timely and effective treatment.

The present invention provides an emergency pre-examination and triage system, and relates to the technical field of emergency comprehensive triage systems. The emergency pre-examination and triage system includes an on-site video recording module, which transmits the patient's real-time condition to the hospital through the on-site video recording module after the patient makes a call and the medical staff arrive at the scene, and a transmission module, which collects the content collected by the on-site video recording module, re-encodes it, and then sends it. After the ambulance arrives at the designated location, the medical staff first gives first aid to the patient, and then a medical staff opens the on-site video recording module to shoot it, and establishes real-time transmission through the transmission module, and transmits the on-site situation to the position of the patient's condition recording port. At the same time, the treating physician makes a preliminary observation through the video. After arriving at the emergency center, if the patient's injury condition is level one, he or she directly enters the emergency room for first aid.

The invention discloses an intelligent accompanying robot with intelligent alarm and projection guidance, and belongs to the technical field of accompanying robots, the intelligent accompanying robot comprises a base and moving wheels mounted at the bottom of the base, a pushing buffer mechanism is arranged at the front end of the base, a second motor is mounted on one side of the top of the base, and a shaft rod is mounted at the output end of the second motor. A data acquisition mechanism composed of a camera and an infrared thermometer monitor is installed, and an early warning control mechanism composed of a controller, a buzzer, a display screen and a communication module is used in cooperation, so that in the using process of the robot, three-level early warning triggering can be conducted according to acquired images and body temperature data, first-level early warning is conducted, and first-level early warning and second-level early warning are conducted; a buzzer sounds to carry out acousto-optic prompting and cloud recording, second-level early warning is carried out, video call access is carried out, family members are informed on an APP, third-level early warning can automatically dial an emergency center and start a positioning beacon when falling down or consciousness is lost, individual errors are better adapted, and the false alarm rate is reduced.

The invention provides a Bluetooth bracelet system with voice monitoring, which comprises a Bluetooth bracelet, a guardian mobile phone, a user smart phone and an emergency center, and is characterized in that the guardian mobile phone is wirelessly connected with a patient smart phone, and the Bluetooth bracelet is connected with the guardian mobile phone, the patient smart phone and the emergency center through a Bluetooth communication module. And a control main body is arranged in the Bluetooth bracelet. According to the Bluetooth bracelet system with the voice monitoring function, the heart rate, the blood pressure and the body temperature of a patient are monitored and displayed, the condition of a user is monitored through voice, and voice prompt and supervision are conducted.

The invention relates to the technical field of remote monitoring systems, in particular to a remote safety monitoring system for intracardiac disease patients, which comprises a monitoring terminal, a handheld terminal and a remote terminal, and further comprises a remote monitoring unit for position data; the danger early warning unit is used for calculating early warning parameters; the heart disease recognition unit is used for generating a heart disease generation signal and sending the signal to a remote terminal; the bidirectional reaction unit is used for acquiring the heart disease occurrence signal, acquiring user position data, screening AED equipment in a range threshold value as target equipment, acquiring a route distance between the target equipment and the user, analyzing and calculating acquisition time between the target equipment and the user by combining a floor where the target equipment is located and a floor where the user is located, and outputting the acquired time; and selecting the target equipment with the shortest acquisition time as recommendation equipment, selecting an optimal center based on the route time consumption between the emergency center position and the user position, and establishing communication connection with the handheld terminal.

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 invention, which belongs to the technical field of automatic driving monitoring, discloses an automatic driving-based monitoring system for a self-avoidance subway construction road section, comprising a vehicle automatic driving system, a subway construction monitoring center and a high-altitude monitoring system. The vehicle automatic driving system, the subway construction monitoring center and the high-altitude monitoring system are all connected with a local emergency center and a traffic management department through a cloud end, the high-altitude monitoring device is further connected with an auxiliary remote demonstration connector, and large-area real-time monitoring is conducted on a subway construction road section through the high-altitude monitoring device. Road condition information of a subway construction road section is collected in real time, and the road condition information is sent to vehicles in a current preset area range and a vehicle automatic driving system in an automatic driving vehicle through a cloud end, so that traffic jam around a subway construction area is reduced, the traffic capacity of the surrounding area is improved, and traffic safety is guaranteed. And the occurrence probability of traffic accidents is reduced.

The present invention relates to a guidance and processing method, system and storage medium based on artificial intelligence. The emergency center dispatches an ambulance team to perform emergency treatment on the patient and matches the corresponding receiving hospital for the patient. When the ambulance team receives the patient, the accompanying medical staff performs emergency treatment and preliminary examination on the patient, and transmits the preliminary examination results to the emergency center. In response to the receipt of the preliminary examination results, the emergency center matches the corresponding receiving hospital for the patient, and sends relevant information of the receiving hospital and the ambulance team to each other, so that the ambulance team establishes a communication connection with the server of the receiving hospital. When the ambulance team establishes a communication connection with the server, the ambulance team reports the patient's condition to the server in real time. In response to the receipt of the patient's condition, the server generates an emergency route and summons personnel involved in the treatment.

The rescue emergency box with the communication function comprises a box body and a sealing cover, partition plates are evenly and fixedly connected in the box body and the sealing cover, a baffle is fixedly connected to one side of the sealing cover, a distance sensor is fixedly connected to the portion, located in the baffle, of the sealing cover, and dampers are fixedly connected to the portions, located on the two sides of the distance sensor, of the sealing cover. One side of the damper is fixedly connected with an insertion rod, the insertion rod is slidably connected with a moving block, one side, close to the box body, of the moving block is provided with an object placing groove, the moving block is in glue connection with a telephone in the object placing groove, a USB end of the telephone is connected with a plug in an inserted mode, the plug is connected with a power source through a wire, and the power source is located in the moving block. When the box body is opened to the horizontal position of the box body, the movable block moves under the action of gravity until the movable block is monitored by the distance sensor, the distance sensor transmits a signal to a mobile phone and prompts to make a call, and a worker can complete contact with an emergency center only by speaking.

The invention discloses a municipal engineering traffic accident emergency processing method, which collects accident related information in real time through equipment such as a sensor, an automobile data recorder and a traffic camera, and transmits the accident related information to an emergency resource scheduling platform in real time through a wireless network or an Internet of Things platform to ensure rapid and accurate transmission of the information. Therefore, the time delay of manual information confirmation and transmission is greatly reduced; the AI algorithm and the real-time traffic data are utilized, the driving speed and the optimal driving time of the emergency resources are calculated, and the optimal distribution strategy of the emergency resources is further calculated, so that the high efficiency and the reasonability of resource distribution are ensured, and the rescue response time can be remarkably shortened; the emergency resource scheduling platform can perform information sharing and real-time linkage with a plurality of departments such as police, a medical emergency center, a traffic management department and a fire brigade, so that efficient coordination among the departments is ensured, and the problems of response delay and unreasonable resource allocation caused by information asymmetry in a traditional system are avoided.

The application discloses a kind of vehicle safety state prediction and first-aid call system and method, the present application is independent system, it is suitable for factory, not factory and any purpose and performance vehicle, and cloud service center, based on the type of vehicle to issue the optimal model parameter of the most matched vehicle state classification prediction model of the corresponding type vehicle of vehicle, so, it can be suitable for the accurate detection of traffic accident of different types of vehicles, thereby greatly improve the applicability of use;Meanwhile, the automatic distress call of the application can avoid the problem that the person in the car cannot enter the distress call process due to serious injury in serious traffic accident, leading to the failure of first-aid distress call, guarantee the timeliness of the rescue of the person in the car;In addition, the present application not only calls for help to the first-aid center, but also carries out on-site rescue through the off-site rescue module, based on this, nearby or passing pedestrians, vehicles can be included in the object of help, so that the maximum rescue force can be ensured for the vehicle personnel.

The present invention discloses a telemedicine system for providing continued care for congenital heart disease, which relates to the field of telemedicine technology. The present invention includes a remote online management module, a hospital online communication module, and a business system management module; a remote medical management platform manages the entire system platform, and the system platform can be logged in at the initial start; the remote online management module includes a pharmacy, a distribution center, and an emergency center module. By taking pictures of the affected part and facial features of the child, and conducting a face-to-face video diagnosis with the doctor, not only the consultation time is shortened, but also the doctor can immediately make an accurate judgment on the child's disease condition in a static state based on the consultation data. The medical staff makes a one-category or two-category judgment based on the severity of the child's condition, and then makes a classification, so that it is convenient to supervise the child's condition in the later stage, so that regular inquiries can be made, and the child can be revisited in the later stage according to the classification, which is conducive to the recovery of the condition.

The present disclosure provides an information processing device, a non-volatile computer-readable medium, and an information processing method, wherein a medical practitioner different from the medical practitioner riding in an ambulance cooperates with the ambulance to efficiently perform rescue activities. The information processing device (10) includes a control unit (15), the control unit (15) generates a message for notifying the medical practitioner of information related to the patient, and sends a first message to the emergency center, the first message being used to notify the medical practitioner that there is a medical practitioner who goes to the patient's side according to the message.

To provide a system for giving support such that a parent can rapidly and appropriately cope with a change in a child's physical condition.SOLUTION: A system includes a reception section, an analysis section, a proposal section, and a guidance section. The reception section allows a parent to input a change in a child's physical condition. The analysis section analyzes information inputted by the reception section. The proposal section proposes a countermeasure on the basis of information analyzed by the analysis section. The guidance section performs guidance to hospitals and emergency service on the basis of a countermeasure proposed by the proposal section.SELECTED DRAWING: Figure 1

The invention provides an emergency center scheduling method and system, and the method comprises the steps: obtaining the emergency information of each patient in a target time period, the current emergency resource information and the current traffic condition information of each emergency center, and recognizing the emergency resource demand information, the current position information and the current illness state information of each patient; configuring each initial distribution patient corresponding to each emergency center, and identifying first patient scheduling sorting information of each first target distribution patient of the emergency center; and through the resource allocation network, generating second patient scheduling sorting information of each second target allocation patient of each emergency center, and based on each first target allocation patient and each second target allocation patient of each emergency center and the current traffic condition information, scheduling each patient to obtain an emergency scheduling result of each patient. By adopting the scheme, the actual utilization rate of first-aid resources can be improved.

The present invention provides a dynamic monitoring system for elderly heart patients, comprising a multimodal sensor module, a data processing module, an analysis module and an alarm module. The multimodal sensor module collects parameters to generate multimodal physiological signals; the data processing module generates pre-processed signals; the analysis module performs real-time analysis of the pre-processed signals based on a preset elderly electrocardiogram characteristic model to generate graded alarm instructions; the alarm module triggers corresponding local reminders, remote notifications or emergency linkage responses according to the graded alarm instructions, wherein the emergency linkage response automatically sends the patient's location and key physiological data to a designated emergency center through the emergency communication module; wherein the adaptive adjustment of the multimodal sensor module includes dynamically optimizing the signal gain according to the skin contact status. The present invention provides a dynamic monitoring system for elderly heart patients, which can solve the problems of poor real-time performance, high false alarm rate and delayed emergency response in dynamic monitoring of elderly heart disease patients.

The invention is suitable for the technical field of vehicle intelligent driving, and provides a driver body health state detection method based on a driver monitoring system, and the method comprises the following steps: monitoring the facial expression and action of a driver in a vehicle through a health state detection module, and judging the health state of the driver; when the health state of the driver is abnormal and permission of the driver is obtained, the vehicle taking-over module takes over the running vehicle, so that the vehicle is controlled by the intelligent driving system to be pulled over and parked; telephone contact with an emergency center is established through the emergency contact module, and the emergency contact module is used for sending emergency rescue information in an emergency call mode. The problem of traffic accidents caused by the fact that a driver cannot control the vehicle due to sudden illness in the current vehicle driving process can be effectively solved; meanwhile, a rescue call can be dialed in time, and a driver can be rescued in time.

The invention discloses a one-key emergency call device for disabled and old people based on Internet mobile communication, and relates to the technical field of emergency call equipment, the one-key emergency call device comprises a main control module, a trigger module, a communication module, a positioning module and a data storage module, the trigger module comprises an entity emergency call button, a fall monitoring unit and a heart rate monitoring unit; when the entity emergency call is pressed, a first trigger signal is generated; the fall monitoring unit generates a second trigger signal; the heart rate monitoring unit generates a third trigger signal; and after receiving the trigger signal, the main control module starts emergency response in a grading manner, acquires current position information, extracts basic disease information of a user and an emergency contact person, and establishes a three-party real-time communication link among an emergency center, the emergency contact person and the device. According to the invention, the problems of single triggering and poor reliability during emergency calling of the disabled old people are solved, the rescue decision time is shortened, and a more reliable technical guarantee is provided for life safety of the disabled old people.

The application discloses a medical emergency system based on dynamic graph flow prediction, which comprises the following steps: S1, a medical emergency center system collects traffic data recorded by various sensors and pre-processes the traffic data; S2, the pre-processed traffic data is subjected to a space-time feature embedding layer, so that low-dimensional features are converted into embedding vectors; S3, a local adaptive graph is constructed through the embedding vectors, and a global dynamic graph generated by the nodes is constructed; S4, a spatial correlation between the local adaptive graph and the global dynamic graph is extracted through an adaptive gate fusion graph convolution module; S5, different scale time dependencies are captured through a multi-scale time gate convolution module; S6, steps S1-S5 form a dynamic graph flow prediction model, and the model is pre-trained; and S7, the medical emergency center system loads the trained dynamic graph flow prediction model into an emergency dispatch cloud platform, and the model is used for real-time regulation and control of a medical emergency channel; and the application effectively improves the efficiency, timeliness and emergency success rate of the medical emergency channel.

The invention relates to a pre-hospital and in-hospital emergency dispatching method and system for severe trauma. A pre-hospital wiring center receives accident description information and analyzes the number of people with severe trauma; the pre-hospital dispatching center dispatches an emergency ambulance; the emergency ambulance-mounted terminal obtains a camera record of a patient at an accident site for field emergency guidance of medical staff in a hospital, collects basic information, vital signs and injury information of the patient, corrects and perfects the information, and analyzes the corrected and perfected information to obtain serious trauma information; the in-hospital trauma emergency center automatically registers for the patient; the emergency ambulance-mounted terminal obtains the emergency treatment time in the hospital and informs the trauma emergency center in the hospital; the in-hospital trauma emergency center corrects and perfects the serious trauma information of the patient, inputs the to-be-examined inspection item and the predicted arrival time of the patient, notifies the inspection center, and transmits the corrected and perfected serious trauma information and the inspection and inspection result of the patient to the model for illness state pre-judgment and decision-making, so as to determine a final to-be-operated item; and informing an operating room center and an anesthesiology center.

The invention discloses a 5G-based regional collaborative intelligent first-aid integrated management system, and the system comprises a lower-level hospital end which is used for the first-aid referral management of a lower-level hospital, and comprises referral application, referral initiation and the like; the superior hospital terminal is used for first-aid referral management, including to-do processing, referral disposal and the like, of a superior hospital; the first-aid 120 terminal comprises a Web terminal and an emergency ambulance terminal, and the Web terminal is used for first-aid referral management of a 120 first-aid center and comprises to-do list processing and system message receiving; the emergency ambulance terminal is used for first-aid referral management of an emergency ambulance, including referral application, referral initiation and the like; and the service support platform is used for background management including user management, process management and the like. According to the invention, the integration of cross-regional emergency treatment and first aid is realized, a cross-regional emergency treatment and first aid green channel is constructed, the cross-regional emergency treatment and first aid time is shortened, the treatment efficiency is improved, and the 5G first aid service of getting on the bus and going to the hospital and going to the hospital and going to the operation is realized.

A kind of WebRTC-based advanced intelligent first-aid method and system, according to patient user end login, in response to the session request of patient user end to doctor user end, audio and video data transmission link is established between patient client;The audio and video data of the doctor user end is obtained, the audio and video data of the patient user end is obtained, the audio and video data of the doctor user end and the patient user end is converted into text data, and the text data is sent to the doctor user end, and is stored in database;In response to the session request of patient user end connected to doctor user end, audio and video data transmission link is established between doctor and patient.This application provides a kind of WebRTC-based advanced intelligent first-aid system, which connects the contact between first-aid center and hospital, more quickly helps patient and doctor to carry out line, grasps the golden time of first-aid, and improves cure rate.