13 results about "Emergency centre" patented technology

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 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 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 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 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 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 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 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.