6 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 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 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 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.