A flying type AED first-aid system and rescue method capable of following an intelligent bracelet

Abstract

The application relates to the technical field of remote first aid, and particularly discloses a flying AED first aid system capable of following an intelligent bracelet and a rescue method. The intelligent first aid bracelet can collect user physical signs and position data in real time, a local algorithm can identify high-risk heart diseases and automatically upload a call-for-help message. An intelligent screening of an optimal flying AED is realized on a cloud first aid dispatch platform, a device autonomously plans an obstacle-avoiding route, dynamically corrects a trajectory in real time by following a mobile patient, and is on standby nearby. The device is provided with a laser calibration module and a 4K audio-video intercom module, and can support a remote doctor in accurately guiding a non-professional person to complete first aid operation. The system can be linked with 120 and first aid volunteers, data can be locally cached when a network is abnormal, and a whole-process encryption is adopted to retain and trace a first aid file. The application solves the problems of a traditional fixed AED, such as coverage limitation and inadaptability to mobile patients, compresses a first aid response time, reduces the risk of rescue operation failure, greatly reduces operation and maintenance cost, and perfects a public first aid tracing system.

Description

Technical Field

[0001] This invention relates to the field of remote emergency medical technology, specifically to a flight-type AED emergency medical system and rescue method that can follow a smart bracelet. Background Technology

[0002] Sudden cardiac death has a rapid onset and extremely high mortality rate. The golden rescue time is only 4-6 minutes after onset, and the survival rate decreases by 10% for every minute of delay. Automated external defibrillators (AEDs) are the core equipment for rescuing ventricular fibrillation and cardiac arrest. The current public emergency medical system has the following prominent shortcomings: Existing AEDs are all fixed installations in fixed boxes, which can only cover locations such as inside buildings, corridors, and service centers. In open areas such as city parks, large playgrounds, open squares, and suburban scenic areas, people are dispersed and their activity range is wide. If fixed AEDs are deployed to cover all areas, the costs of equipment procurement, box installation, operation and maintenance, and inspection are extremely high, making large-scale deployment difficult to implement. Moreover, once people leave the fixed locations, there are no available AEDs nearby, creating large-scale rescue gaps.

[0003] Patients in the prodromal stage of cardiac arrest often experience palpitations, weakness, and unsteady gait. By the time the onset of the attack, they have already moved far from the registered AED location. Rescuers spend a lot of time going back and forth to retrieve the equipment, making it very easy to miss the golden window for rescue.

[0004] Most citizens have not received standardized first aid training, making it impossible for them to accurately determine the electrode placement location and perform cardiopulmonary resuscitation in a standardized manner. Blindly operating the procedure can easily delay treatment or even cause secondary injuries.

[0005] Traditional emergency rescue models rely on passersby calling 120 after discovering the emergency, followed by multiple steps including dispatching an ambulance, locating an AED, and providing on-site rescue, resulting in delayed early warnings; there is no integrated mechanism for pre-deployment vital sign monitoring, automated dispatch, and remote professional guidance.

[0006] The current emergency response process lacks complete archiving of the patient's real-time ECG, rescue operations, equipment operation, and on-site images, which hinders subsequent medical review, liability determination, and optimization of the emergency response process due to a lack of original data support.

[0007] While existing technologies include two independent solutions—wearable ECG wristbands and drone-delivered AEDs—both have significant technical limitations: ordinary ECG wristbands only have alarm push functions and lack a matching, dynamically trackable delivery defibrillator; conventional drone-delivered AEDs can only fly to fixed coordinates and cannot continuously synchronize with moving patients, rendering the rescue ineffective once the patient moves; neither solution integrates remote doctor visualization guidance, precise laser electrode positioning, intelligent cloud-based multi-machine collaborative scheduling, or full-process data storage, thus failing to form a closed-loop automated emergency rescue system.

[0008] Therefore, there is an urgent need to develop an integrated emergency rescue system and remote dispatch method for flying AEDs that can follow wearable wristbands in real time, dynamically track moving patients, provide intelligent cloud-based dispatch, and offer remote visual professional rescue guidance. This would solve the industry problems of insufficient coverage of existing fixed AEDs, delayed rescue, high rescue threshold, and inability to adapt to moving patients. Summary of the Invention

[0009] The technical problem to be solved by this invention is to provide a flying AED emergency rescue system and rescue method that can follow a smart wristband, realizing wearable real-time ECG early warning, dynamic drone delivery of AED, cloud-based intelligent optimal scheduling of multiple drones, remote doctor audio and video visualization guidance, laser electrode precise positioning, and integrated closed-loop emergency rescue with data storage throughout the entire emergency process. This significantly reduces the cost of AED deployment in public areas, shortens emergency response time, lowers the threshold for non-professional rescue operations, and improves the success rate of rescuing sudden cardiac death.

[0010] To solve the above-mentioned technical problems, the technical solution provided by the present invention is: a flying AED emergency rescue system that can follow a smart bracelet, including a smart emergency rescue bracelet, a flying AED, a cloud-based emergency dispatch platform, and a remote doctor guidance terminal; the system is equipped with a ground charging and shutdown base station, an edge computing gateway, and an encrypted emergency data storage server; The smart emergency bracelet has a built-in ECG acquisition module, heart rate and blood oxygen monitoring sub-module, multi-mode high-precision positioning module, six-axis attitude sensing unit, wireless communication module, automatic emergency call processing module, sound and light warning unit, user information storage unit and power supply unit; it is used to collect the user's continuous ECG, heart rate and blood oxygen, movement posture and dynamic position data in real time, and the local embedded algorithm identifies malignant arrhythmias, ventricular fibrillation and cardiac arrest precursor waveforms, automatically generates emergency call data packets without manual operation and continuously refreshes the positioning coordinates and uploads them to the cloud every second; The flying AED integrates a six-rotor flight platform and flight control unit, airborne AED main unit module, binocular vision obstacle avoidance module, high-precision bidirectional positioning unit, bidirectional audio and video intercom module, laser guidance and calibration module, wireless high-speed data transmission module, and airborne local cache unit; it can receive cloud-based takeoff commands and autonomously plan obstacle avoidance routes, continuously and synchronously receive dynamic coordinates from the smart emergency wristband throughout the flight to correct the flight trajectory in real time, and achieve low-altitude hovering and landing at the nearest available location to follow moving patients; after arriving at the rescue area, it opens the audio and video channel to transmit on-site images and receives instructions from remote doctors to project laser spots to mark the chest electrode attachment area; The cloud-based emergency dispatch platform integrates a distress signal receiving and parsing unit, a regional intelligent dispatch algorithm engine, a dynamic regional coverage optimization strategy unit, a two-way data synchronization unit, a remote terminal docking unit, an emergency data storage and traceability unit, an alarm linkage unit, and an equipment operation and maintenance management unit. After receiving the distress data packet from the wristband, it selects the optimal flying AED based on device distance, remaining battery power, and road conditions to issue rescue instructions, continuously synchronizing the wristband and aircraft location data in both directions, and synchronously linking with the 120 emergency center and emergency volunteer terminals. It also encrypts and stores ECG, on-site images, and flight trajectory throughout the process to generate an unalterable emergency medical record. The remote doctor guidance terminal is encrypted and connected to the cloud-based emergency dispatch platform. It includes a multi-source data visualization interface, a remote interactive control unit, a standardized emergency voice library, a file editing unit, and a multi-event parallel processing unit. It can retrieve the patient's electrocardiogram, on-site video, and aircraft operating status in real time, and remotely guide on-site personnel to complete the full set of rescue operations, including electrode application, cardiopulmonary resuscitation, and defibrillation, through two-way voice guidance combined with airborne laser guidance.

[0011] Furthermore, the cloud-based emergency dispatch platform is configured with a dynamic area coverage optimization strategy unit, which can dynamically track moving rescue targets using one or more flying AEDs, and is used in open areas such as city parks, campuses, squares, and scenic spots.

[0012] Furthermore, the flight control unit of the flying AED reads the positioning coordinates updated every second by the wristband in real time, calculates the coordinate difference between the aircraft and the patient, and when the patient walks, runs, or moves, causing the coordinate difference to exceed the preset 5-meter threshold, the aircraft automatically accelerates to catch up with the target and continuously maintains a low-altitude standby at a preset rescue distance of 3 to 8 meters.

[0013] Furthermore, the laser guidance and calibration module receives control commands from the remote doctor's terminal, projects a visible light rectangular spot that adapts to ambient brightness, and accurately marks the standard defibrillation electrode attachment area on the human chest, assisting on-site rescuers without professional emergency experience to quickly complete electrode alignment.

[0014] Furthermore, the smart emergency bracelet's locally embedded arrhythmia recognition algorithm distinguishes between three levels of risk: mild arrhythmia, high-risk ventricular fibrillation, and cardiac arrest. Mild arrhythmia only triggers a local sound, light, and vibration warning on the bracelet. High-risk ventricular fibrillation and cardiac arrest waveforms lasting more than 30 seconds automatically trigger a fully automatic cloud-based emergency call and simultaneously push alarm information to the user's emergency contacts.

[0015] Furthermore, the two-way audio and video intercom module is equipped with a rotatable 4K high-definition camera, a noise-canceling microphone, and a high-power external speaker. The rotatable PTZ can rotate in multiple angles (up, down, left, and right) to capture the entire rescue area. The audio and video link uses low-latency encrypted transmission to enable real-time visual interaction between on-site rescuers and remote emergency doctors.

[0016] Furthermore, the ground charging and parking base stations are distributed in public open areas and have functions such as automatic landing of aircraft, magnetic fast charging, and whole-machine self-test. The ground charging and parking base stations have built-in edge computing gateways, which locally cache ECG, positioning, and on-site video data when the 5G public network signal is interrupted, and resume transmission to the cloud platform after the network is restored.

[0017] This invention also provides a method for remote dispatching and resuscitation of a flying AED that can follow a smart bracelet, which is executed using the aforementioned flying AED emergency rescue system that can follow a smart bracelet, and includes the following steps: S1, the smart emergency bracelet continuously collects the user's electrocardiogram, heart rate, blood oxygen, movement posture and real-time location data, and the local embedded algorithm identifies arrhythmia frame by frame and outputs risk warnings in a graded manner; S2. After the wristband recognizes the characteristic waveforms of high-risk ventricular fibrillation and cardiac arrest and continuously reaches the target threshold, it automatically triggers a one-click emergency call and uploads the ECG data packet, dynamic positioning, and user medical history information to the cloud, refreshing the coordinates once per second for continuous push. S3, the cloud-based emergency dispatch platform uses a regional intelligent dispatch algorithm to select the best flying AED that is closest, has sufficient power, and has no flight obstruction, and issues an encrypted take-off rescue command, while simultaneously pushing emergency alarms to the 120 dispatch center and nearby emergency volunteer terminals. S4, the flying AED takes off autonomously from the ground-based base station and uses the binocular obstacle avoidance module to plan a flight path to the initial emergency coordinates; during the flight, it continuously receives dynamic positioning data from the wristband, corrects the flight path in real time, and dynamically follows the moving patient, always maintaining a close-range rescue standby state; if the battery of the unit is low, the cloud automatically dispatches a backup aircraft to take over the rescue, and the unit returns to the base to recharge. S5, after arriving near the dynamic coordinates of the wristband, hovers at low altitude or lands smoothly nearby, automatically opening the two-way audio and video channel to transmit the scene and AED self-check status back to the cloud. S6: Connects to the cloud-based remote doctor guidance terminal, allowing doctors to simultaneously view real-time ECG and on-site images. Standardized rescue guidance is provided through two-way voice communication. One-click control of the onboard laser guidance module projects and marks the electrode bonding area, guiding on-site personnel to complete cardiopulmonary resuscitation, electrode bonding, and defibrillation. S7. From the wristband alert to the end of the rescue, the cloud automatically stores the ECG time sequence, aircraft video, medical and patient voice, AED work record, and operation instructions. It is then timestamped, encrypted, and backed up twice to generate an unalterable and complete emergency traceability file, which is simultaneously pushed to the receiving medical institution. S8. After the rescue is completed or the ambulance takes over the patient, the cloud sends a return command, and the flying AED automatically returns to the nearest parking base station to charge, perform self-checks, and return to idle standby status.

[0018] The advantages of this invention compared to the prior art are: This invention relies on the dynamic following mode of flying AEDs, and a single device can dynamically cover tens of thousands of square meters of open areas such as squares, parks, and campuses, replacing dozens of fixed cabinet AEDs, greatly reducing the costs of equipment procurement, cabinet installation, and regular inspection and maintenance; it solves the core pain point of traditional fixed AEDs that can only provide fixed-point coverage and that there are no devices available in large areas of outdoor pedestrian activity areas.

[0019] The flying AED of this invention synchronizes the wristband's positioning coordinates every second to correct the flight path in real time. It continuously flies at low altitude to follow the patient when they walk, run, or move before or after the onset of the disease, always keeping a close standby. This overcomes the shortcomings of traditional AEDs with fixed locations and the inability of the device to match after the patient moves, thus safeguarding the 4-6 minute golden rescue window.

[0020] This invention features an onboard laser positioning module that precisely marks the electrode attachment area. Combined with real-time audio and video visualization guidance from remote online emergency physicians, it allows rescuers to perform electrode attachment, cardiopulmonary resuscitation, and defibrillation procedures without prior professional first aid training, thus avoiding delays in treatment due to operational errors by non-professionals.

[0021] This invention relies on the local arrhythmia recognition of smart bracelets to automatically trigger an emergency call during the early stages of cardiac arrest, eliminating the need for passersby to call 120 after noticing the incident. It achieves "early warning and dispatch upon warning" and significantly reduces the waiting time for emergency response. It also simultaneously links resources from 120, emergency volunteers, and hospitals to form a seamless system that combines drone-based pre-rescue with ambulance-based in-hospital treatment.

[0022] The cloud-based scheduling algorithm of this invention integrates multiple parameters such as distance, power, road conditions, and obstruction to match the optimal aircraft. When the equipment's power is insufficient, it automatically switches to a backup aircraft, providing redundant rescue support. With the support of a ground-based parking base station, automatic charging and battery swapping are achieved, allowing the equipment to continuously and cyclically standby.

[0023] This invention automatically stores ECG, imaging, flight, and operation logs throughout the entire process from early warning of vital signs to the end of rescue. The data is encrypted and cannot be tampered with, meeting the data needs for medical review, accident liability determination, and optimization of the public emergency medical system, and filling the gap in the lack of complete traceability records in existing emergency medical programs. Attached Figure Description

[0024] Figure 1 This is a system block diagram of a flight-type AED emergency rescue system that can follow a smart bracelet, according to the present invention.

[0025] Figure 2 This is a flowchart of a method for remote dispatching and resuscitation of a flying AED that can follow a smart bracelet, according to the present invention. Detailed Implementation

[0026] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0027] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0028] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0029] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0030] The following detailed description, in conjunction with the accompanying drawings, illustrates a flight-type AED emergency rescue system and rescue method that can follow a smart bracelet, according to the present invention.

[0031] Combined with appendix Figure 1-2 The specific implementation process of the present invention, a flying AED emergency rescue system and rescue method that can follow a smart bracelet, is as follows: A flight-type AED emergency rescue system that can follow a smart bracelet includes a smart emergency rescue bracelet, a flight-type automated external defibrillator, a cloud-based emergency dispatch platform, and a remote doctor guidance terminal. It achieves bidirectional real-time data interaction through 5G / 4G wireless communication and low-latency wireless data transmission links. The system is equipped with an edge computing gateway, a regional ground charging and shutdown base station, and an emergency data storage server to realize automatic charging and battery swapping of the device and local low-latency data caching.

[0032] The smart emergency rescue bracelet is a wearable, waterproof smart terminal designed for general citizens, athletes, and patients with underlying cardiovascular diseases. It features a built-in hardware module and a matching embedded recognition algorithm. Specific components include: (1) ECG acquisition module: It adopts a three-lead flexible dry ECG electrode to collect continuous ECG waveforms by fitting the skin of the wrist. It has a built-in ECG noise reduction and filtering unit to filter motion, static electricity and environmental electromagnetic interference, and output pure ECG raw waveforms. (2) Heart rate and blood oxygen monitoring submodule: integrates photoelectric blood oxygen sensor to synchronously collect real-time heart rate and blood oxygen saturation as an auxiliary basis for judging arrhythmia; (3) Multi-mode high-precision positioning module: integrates GPS, Beidou, UWB indoor positioning and inertial navigation IMU unit, with meter-level positioning accuracy outdoors and decimeter-level positioning in indoor / underground venues, outputting dynamic coordinates once per second; (4) Six-axis posture sensing unit: collects the wearer's movement posture, distinguishes between still, slow walking, fast running and falling posture, and helps to determine whether fainting or cardiac arrest has occurred; (5) Wireless communication module: integrates 5GNB-IoT dual-mode communication unit, low power standby, and switches to high-speed 5G channel in critical situations to ensure low latency uploading of vital signs and location data; (6) Automatic emergency call processing module: Built-in local embedded arrhythmia recognition algorithm, local pre-identification of high-risk waveforms, local alarm triggering without cloud computing; built-in local storage unit, caches ECG and location data when the network is interrupted, and resumes transmission after the network is restored; (7) Sound and light warning unit: The bracelet body vibrates, red light flashes, and voice broadcasts three local reminders to inform the wearer of physical abnormalities in advance and reserve time for self-rescue; (8) User information storage unit: Pre-stores the wearer's name, age, history of cardiovascular disease, allergy history, and emergency contact number, and uploads it to the cloud simultaneously when calling for help; (9) Power supply unit: large capacity flexible lithium battery, 7 days of normal standby, no less than 4 hours of continuous high power consumption operation in emergency call mode, and supports magnetic fast charging.

[0033] The working logic of the smart emergency rescue bracelet is as follows: It continuously collects ECG, heart rate, blood oxygen, positioning, and posture data, and the local algorithm identifies characteristic waveforms of premature ventricular contractions, ventricular tachycardia, ventricular fibrillation, sudden drop in heart rate, and cardiac arrest in real time; when the vital signs data exceed the preset high-risk threshold, it automatically triggers an emergency call, and simultaneously uploads all data packets to the cloud, continuously refreshing the real-time coordinates once per second to provide dynamic target location for the flying AED.

[0034] The in-flight automated external defibrillator (flying AED) uses a six-rotor multi-rotor flight platform. The entire device is waterproof and dustproof, and features autonomous obstacle avoidance, autonomous take-off and landing, and automatic recharging. It integrates a flight control unit, an onboard AED main unit, and auxiliary rescue modules. The hardware units are detailed below: (1) Multi-rotor flight platform and flight control unit: six-axis power motor, foldable arm, shock-absorbing landing gear; the flight control unit has a built-in real-time differential positioning module, which receives the dynamic coordinates of the wristband to correct the flight path in real time, and supports hovering, fixed-point landing and low-altitude following mode; it has a built-in remaining power monitoring module, which automatically triggers the return-to-home charging command when the power is lower than the safety threshold. (2) Airborne AED main unit module: It has a built-in standardized medical AED core circuit, adult / child dual-mode electrode pad storage compartment, voice rescue prompt unit, and high-voltage defibrillation discharge module; the main unit has an independent lithium battery and can work independently for no less than 30 minutes after being separated from the aircraft. (3) Binocular vision obstacle avoidance module: The fuselage has six binocular high-definition cameras in the front, back, left, right, up and down directions, equipped with AI obstacle recognition algorithm to identify pedestrians, trees, buildings, cables and vehicles, and automatically detour to avoid collisions and crashes during flight. (4) High-precision bidirectional positioning unit: integrates Beidou + GPS differential positioning, calculates the coordinate difference with the wristband positioning data, and dynamically maintains the preset rescue distance (default 3 to 8 meters adjustable). (5) Two-way audio and video intercom module: airborne 4K high-definition PTZ camera, noise-reducing microphone, high-power external speaker; the camera can rotate up, down, left and right to capture the complete rescue scene; the audio link has low latency, enabling real-time two-way dialogue between on-site rescuers and remote doctors. (6) Laser guidance and calibration module: Adjustable focus visible light laser emitter, receives positioning instructions from cloud doctor terminal, projects rectangular calibration spot to accurately cover the standard electrode pasting area on human chest; the brightness of the spot adapts to sunlight and nighttime environment, and is clearly visible under strong light, assisting people without emergency experience to quickly find the electrode position; (7) Wireless high-speed data transmission module: Independent dedicated wireless communication link, not dependent on public network, can still transmit positioning and control commands with wristband and cloud edge gateway in 5G signal blind area; (8) Onboard local cache unit: Locally stores on-site video, AED working parameters, and flight trajectory; caches data when the network is lost; and automatically uploads it to the cloud for archiving after communication is restored. (9) Protective and portable structure: The whole machine has a lightweight and shock-resistant shell. The AED main unit adopts a quick-release buckle design, which allows rescuers to remove the device with one hand without disassembling the aircraft. The fuselage is equipped with reflective warning strips and night flashing warning lights to improve on-site visibility.

[0035] The working logic of the flying AED is as follows: After receiving the takeoff command from the cloud, it autonomously plans the optimal obstacle avoidance route to fly to the initial coordinates of the wristband; throughout the flight, it continuously receives the dynamic positioning data updated every second by the wristband, corrects the flight trajectory in real time, and continues to fly alongside the patient when the patient walks, runs or moves, maintaining close-range low-altitude standby; after arriving at the rescue area, it hovers or lands smoothly nearby, automatically opens the audio and video channel, and waits for remote doctors to connect and guide the rescue.

[0036] The cloud-based emergency dispatch platform is deployed on a cloud server cluster, equipped with an edge computing gateway to achieve low-latency regional processing. It includes a built-in database, intelligent dispatch algorithm engine, emergency data archiving module, and access control module. Its core functional units are: (1) Emergency signal receiving and parsing unit: Real-time monitoring of data packets uploaded by wristband, parsing electrocardiogram waveform, location coordinates, patient's basic medical history, and equipment alarm level, and classifying alarms into three levels: ordinary warning, high-risk ventricular fibrillation, and cardiac arrest; (2) Regional intelligent dispatching algorithm engine: Built-in multi-target optimal matching algorithm, which reads the real-time location, remaining power, idle / operation status, flight obstruction road conditions, and ground parking base station distribution of all flying AEDs in the jurisdiction in real time; with "shortest rescue arrival time, sufficient power, and no obstacles" as the core screening conditions, it automatically allocates the optimal single flying AED; if the power of a single device is insufficient or the distance is too far, it automatically dispatches multiple machines to rush to the scene in coordination, forming redundant rescue support; (3) Dynamic area coverage optimization strategy unit: For open areas such as parks, playgrounds, and scenic spots, a single flying AED is used to dynamically cover dozens of fixed AEDs. The algorithm automatically calculates the effective dynamic coverage radius of a single device and outputs the optimal number of devices to be deployed in the area for use in urban emergency planning. (4) Two-way data synchronization unit: Establish a real-time data link between the wristband, the cloud and the flying AED, synchronize the wristband coordinates to the aircraft once per second, and the aircraft transmits the flight trajectory, battery level and on-site images back to the cloud; (5) Remote terminal docking unit: Establishes an encrypted communication channel to synchronously push patient ECG, on-site video, and AED device status to the online doctor terminal; receives laser positioning and voice guidance instructions issued by the doctor and forwards them to the airborne module of the flying AED; (6) Emergency Data Storage and Traceability Unit: Records the wristband's original ECG, flight trajectory, on-site audio and video, doctor's guidance voice, AED discharge record, and rescue operation sequence throughout the process, automatically generating encrypted and tamper-proof emergency files, supporting medical institutions and emergency management departments to review and reconstruct the event afterward; (7) Alarm linkage unit: Simultaneously push emergency information to the 120 emergency dispatch center, emergency volunteers in the surrounding community, and emergency departments of the nearest hospital, and simultaneously push the real-time location of the patient to achieve seamless connection between drone forward rescue and ambulance in-hospital treatment; (8) Equipment Operation and Maintenance Management Unit: Monitors the online status, fault alarms, and power consumption of all flying AEDs and smart bracelets, and automatically generates equipment inspection, charging, and maintenance work orders.

[0037] The remote doctor guidance terminal is a PC workstation or a portable medical tablet terminal, designed for emergency physicians and emergency specialists to provide online monitoring. It features encrypted login permissions and includes the following core functional modules: (1) Multi-source data visualization display interface: split screen synchronously displays the patient's real-time dynamic electrocardiogram waveform, blood oxygen and heart rate values, real-time on-site images transmitted by the aircraft, aircraft location map, AED remaining power and equipment status; (2) Remote interactive control unit: Built-in voice intercom button and laser positioning trigger button, allowing doctors to issue commands with one click to control the onboard laser projection of the chest electrode marking area; supports zooming and rotating the on-site camera image for clear observation of rescue personnel's operations; (3) Standardized emergency care guidance voice library: Pre-stored standardized guidance voice for cardiopulmonary resuscitation, electrode attachment, defibrillation operation, and body position adjustment. Doctors can play it with one click and provide targeted guidance in real time. (4) Real-time emergency record editing unit: Doctors can enter the diagnosis and treatment records of the rescue process online and bind them to the automatically stored images and electrocardiogram data for archiving; (5) Multi-call parallel processing unit: Supports multiple doctors to access multiple emergency events at the same time, monitor in parallel through multiple windows, and realize concurrent rescue and disposal.

[0038] The system is equipped with supporting infrastructure, as follows: (1) Ground charging and parking base station: It is distributed in open urban areas to provide automatic landing, magnetic fast charging and equipment self-test functions for flying AEDs; the base station has a built-in local edge gateway to cache emergency data locally when the public network signal is interrupted; (2) Encrypted data storage server: Independent local backup of cloud emergency medical records to prevent data loss on cloud servers. The records are encrypted and stored using blockchain, which is tamper-proof and meets medical evidence collection standards. (3) Volunteer mobile app: push emergency alarms, real-time patient location, and estimated arrival time of the flying AED to guide people in the surrounding area to arrive at the scene in advance to wait for the equipment.

[0039] This invention also provides a method for remote dispatch and rescue of a flying AED that can follow a smart bracelet. It employs an automated early warning, intelligent dispatch, dynamic follow-up delivery, remote visual rescue, and a closed-loop process of full-process evidence storage. The specific process is as follows: S1, Smart Emergency Bracelet: Continuous Vital Sign Monitoring and Local Recognition The wristband continuously collects the wearer's three-lead ECG, heart rate, blood oxygen, exercise posture, and BeiDou / GPS positioning data around the clock; the locally embedded arrhythmia recognition algorithm analyzes the ECG waveform frame by frame in real time to distinguish between normal heart rhythm, mild arrhythmia, high-risk ventricular fibrillation, and cardiac arrest waveforms; and network breakpoint caching is enabled simultaneously, so that all monitoring data is stored locally when the network is abnormal.

[0040] Step S1-1: The wristband automatically calibrates the ECG electrodes and positioning module daily at set times to eliminate monitoring drift errors; Step S1-2: When a mild heart rhythm abnormality is detected, the wristband will issue a local sound, light, and vibration warning to prompt the user to rest and observe, without triggering a cloud-based emergency call. Step S1-3: If the abnormal waveform lasts for more than 30 seconds, it will be upgraded to a high-risk warning, and the information will be pushed to the user's emergency contact in advance.

[0041] S2. High-risk vital signs automatically trigger a one-click emergency call and upload a complete data package. When the wristband detects ventricular fibrillation, a heart rate below 40 beats per minute, or cardiac arrest waveforms that exceed the preset resuscitation threshold, it automatically triggers a fully automatic emergency call without manual intervention. The wristband uploads the following packaged data to the cloud-based emergency dispatch platform via a 5G high-speed channel: real-time dynamic location coordinates, 10 consecutive seconds of raw ECG waveforms, heart rate and blood oxygen data, user's basic medical history, emergency contact information, and the device's unique identification code. The wristband maintains a coordinate refresh and upload every second, continuously outputting the movement trajectory.

[0042] Step S2-1: Simultaneously send SMS and APP messages to emergency contacts to inform the wearer of the risk of sudden high-risk heart disease and their real-time location; Step S2-2: The bracelet continuously vibrates and flashes at high intensity to alert passersby that the wearer is acting abnormally.

[0043] S3, the cloud-based emergency dispatch platform intelligently matches the optimal in-flight AED and issues a takeoff command. After receiving the distress call data packet in the cloud, the dispatch algorithm engine simultaneously retrieves the real-time status parameters (location, remaining battery power, idle status, flight obstruction, and straight-line distance to the target) of all flying AEDs in the jurisdiction. Using "shortest arrival time" as the core weight, supplemented by sufficient battery power and no high-altitude obstruction as filtering conditions, it matches the best flying AED. If the best device has insufficient battery power or is too far away, it simultaneously dispatches two or more aircraft to form redundant rescue. The platform issues encrypted take-off, target initial coordinates, and dynamic coordinate synchronization authorization instructions to the selected aircraft. Simultaneously, it pushes the emergency event to the 120 dispatch center and the nearest emergency volunteer terminal.

[0044] Step S3-1: The platform combines real-time pedestrian flow, building obstruction, wind and weather data to correct the estimated arrival time of the aircraft, and pushes the updated information to volunteers and the 120 system in real time; Step S3-2: Mark the priority of the event rescue. Cardiac arrest event is the highest priority. The rescue should be carried out first when the routine inspection mission of the aircraft is interrupted.

[0045] S4. Flying AED autonomous flight, dynamically following and correcting its course in real time as the patient moves. After receiving the takeoff command, the flying AED automatically takes off from the ground-based parking base station. The flight control unit, combined with the binocular obstacle avoidance module, autonomously plans the optimal route without obstacles and flies towards the initial coordinates of the wristband. Throughout the flight, it continuously receives dynamic positioning data packets from the wristband forwarded by the cloud, updates the target coordinates every second, and adjusts the flight heading, speed, and altitude in real time. When the wearer walks, runs, falls, or moves, the aircraft continues to follow, automatically adjusting its hovering position to always maintain a safe rescue distance of 3 to 8 meters, following and waiting at low altitude to avoid the patient's movement causing the rescue point to become ineffective.

[0046] Step S4-1: The aircraft calculates the difference between its own coordinates and the wristband in real time. If the difference exceeds the preset threshold (5 meters), it immediately accelerates to catch up with the target. Step S4-2: If the battery level drops below the safety threshold during flight, the cloud will automatically switch to a backup aircraft, the aircraft will automatically return to base for charging, and the information on the replacement of terminal equipment for volunteers and doctors will be updated simultaneously.

[0047] S5. The aircraft arrives at the rescue area and initiates audio-visual interaction. After the aircraft reaches the vicinity of the wristband's dynamic coordinates, it lowers its flight altitude to a low hover of 1.5 to 3 meters, or lands smoothly on a flat surface next to the patient; it automatically activates the onboard gimbal camera and two-way pickup speaker to transmit real-time images of the scene, aircraft status, and onboard AED self-test data back to the cloud dispatch platform; the camera gimbal automatically rotates to align with the patient's body, capturing a complete picture of the rescue area.

[0048] Step S5-1: The fuselage strobe warning lights remain on to facilitate rescue personnel in quickly locating the aircraft; Step S5-2: The AED host automatically powers on and performs a self-test, preloads the adult / child rescue mode, and synchronizes the status to the cloud.

[0049] S6. Remote doctors can access and guide the system via a visually collaborative on-site rescue process. An encrypted communication channel is established in the cloud to push emergency events to the online remote doctor guidance terminal; doctors can simultaneously view the patient's real-time ECG, on-site high-definition video, and AED device parameters; standardized rescue steps are dictated in real time via two-way voice, and the onboard laser guidance module is controlled with one click to project a calibration spot, accurately marking the area for attaching the chest electrodes, guiding inexperienced personnel to quickly attach the electrodes; doctors simultaneously guide rescuers to perform chest compressions and artificial respiration, determine whether defibrillation is needed based on the ECG waveform, and issue discharge operation instructions; throughout the rescue process, the AED simultaneously plays local voice prompts, providing dual assistance with remote doctor guidance.

[0050] Step S6-1: When the doctor observes the electrocardiogram waveform to determine ventricular fibrillation, a voice prompt will be given to the rescuer to move away from the patient and control the AED to enter charging and discharging preparation. Step S6-2: If there are multiple rescuers on site, the doctor shall assign tasks such as chest compressions, AED operation, and record the division of labor.

[0051] S7. Automatic archiving of data throughout the entire rescue process, generating an unalterable emergency traceability file. From the initial warning issued by the wristband to the end of the rescue, all data is continuously and synchronously stored in the cloud: complete ECG timeline of the wristband, flight trajectory and video recording of the aircraft, two-way medical communication, laser positioning operation record, AED charging and discharging record, doctor's operation instructions, and rescuer operation video; all data is timestamped and encrypted and stored on both the local server and the cloud for dual backup, generating an independent and unique emergency traceability file; after the rescue, the file is automatically synchronized to the connected 120 emergency system and the emergency department of the receiving hospital, for medical staff to continue treatment and review the emergency process and assess medical risks.

[0052] Step S7-1: The archives support multi-condition retrieval by user identity, emergency rescue time, and incident location, and can only be accessed by authorized medical institutions and emergency management departments; Step S7-2: Regularly export emergency medical records in batches for use in optimizing the urban public emergency medical system and planning and analyzing the deployment locations of airborne AEDs.

[0053] S8. The aircraft will automatically return to its home base for charging after the rescue operation is completed. Once the rescue is completed, the doctor confirms the emergency event is over, or the 120 ambulance arrives to take over the patient, a return command is issued from the cloud. After the flying AED removes the AED main unit, it automatically takes off, returns to the nearest ground parking base station, completes landing, automatic charging, device self-check, and returns to idle standby status, waiting for the next dispatch mission.

[0054] S9. Post-Emergency Emergency Procedure Optimization Analysis The cloud platform regularly analyzes all emergency medical records in batches, calculates average response time, aircraft arrival time, patient movement distance, and rescue operation errors, outputs regional rescue shortcomings analysis reports, and optimizes dispatch algorithms, aircraft deployment locations, and key points for public first aid training.

[0055] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A flight-type AED emergency rescue system that can follow a smart bracelet, characterized in that: This includes smart emergency wristbands, flying AEDs, cloud-based emergency dispatch platforms, and remote doctor guidance terminals; The smart emergency wristband is used to collect the user's continuous ECG, heart rate, blood oxygen, movement posture and dynamic location data in real time. The local embedded algorithm identifies malignant arrhythmia, ventricular fibrillation and cardiac arrest precursor waveforms. It automatically generates emergency call data packets without manual operation and continuously refreshes the positioning coordinates and uploads them to the cloud every second. The flying AED receives takeoff instructions from the cloud and autonomously plans obstacle avoidance routes. Throughout the flight, it continuously receives dynamic coordinates from the smart emergency wristband and corrects its flight trajectory in real time, enabling it to follow moving patients, hover at low altitude, and land nearby to stand by. After arriving at the rescue area, it opens the audio and video channel to transmit the scene and receives instructions from remote doctors to project laser spots to mark the area where the chest electrodes are attached. After receiving the distress data packet from the wristband, the cloud-based emergency dispatch platform selects the optimal flying AED based on device distance, remaining battery power, and road conditions to issue rescue instructions. It continuously synchronizes the wristband and aircraft location data in both directions and simultaneously links the 120 emergency center and emergency volunteer terminals. The platform also encrypts and stores ECG, on-site images, and flight trajectory throughout the process to generate an unalterable emergency medical record. The remote doctor guidance terminal can access the patient's electrocardiogram, on-site video, and aircraft operating status in real time. Through two-way voice communication and onboard laser guidance, it can remotely guide on-site personnel to complete a full set of rescue operations, including electrode application, cardiopulmonary resuscitation, and defibrillation.

2. The flying AED emergency rescue system that can follow a smart bracelet according to claim 1, characterized in that: The cloud-based emergency dispatch platform is equipped with a dynamic area coverage optimization strategy unit, which can dynamically track moving rescue targets by using one or more flying AEDs, and is used in open areas such as city parks, campuses, squares, and scenic spots.

3. The flying AED emergency rescue system that can follow a smart bracelet according to claim 1, characterized in that: The flight control unit of the flying AED reads the positioning coordinates updated every second by the wristband in real time, calculates the coordinate difference between the aircraft and the patient, and when the patient walks, runs, or moves, causing the coordinate difference to exceed the preset 5-meter threshold, the aircraft automatically accelerates to catch up with the target and continuously maintains a low-altitude standby distance of 3 to 8 meters.

4. The flying AED emergency rescue system that can follow a smart bracelet according to claim 1, characterized in that: The flying AED integrates a laser guidance and calibration module, which receives control commands from a remote doctor's terminal, projects a visible light rectangular spot that adapts to ambient brightness, and accurately marks the standard defibrillation electrode attachment area on the human chest, assisting on-site rescuers without professional emergency experience to quickly complete electrode alignment.

5. The flying AED emergency rescue system that can follow a smart bracelet according to claim 1, characterized in that: The smart emergency bracelet's locally embedded arrhythmia recognition algorithm distinguishes between three levels of risk: mild arrhythmia, high-risk ventricular fibrillation, and cardiac arrest. Mild arrhythmia only triggers a local sound, light, and vibration warning on the bracelet. High-risk ventricular fibrillation and cardiac arrest waveforms lasting more than 30 seconds automatically trigger a fully automatic cloud-based emergency call and simultaneously push alarm information to the user's emergency contacts.

6. The flying AED emergency rescue system that can follow a smart bracelet according to claim 1, characterized in that: The flying AED integrates a two-way audio and video intercom module, equipped with a rotatable 4K high-definition camera, a noise-canceling microphone, and a high-power external speaker. The rotatable PTZ can rotate in multiple angles to capture the entire rescue area. The audio and video link uses low-latency encrypted transmission to enable real-time visual interaction between on-site rescuers and remote emergency doctors.

7. A method for remote dispatching and resuscitation of a flying AED that can follow a smart bracelet, characterized in that, The following steps are included when the flight-type AED emergency rescue system capable of following a smart wristband is used as described in any one of claims 1-6: S1, the smart emergency bracelet continuously collects the user's electrocardiogram, heart rate, blood oxygen, movement posture and real-time location data, and the local embedded algorithm identifies arrhythmia frame by frame and outputs risk warnings in a graded manner; S2, after the smart emergency wristband recognizes the characteristic waveforms of high-risk ventricular fibrillation and cardiac arrest and continuously reaches the target threshold, it automatically triggers a one-click emergency call, uploads the ECG data packet, dynamic positioning, and user medical history information to the cloud, and continuously pushes the coordinates once per second. S3, the cloud-based emergency dispatch platform uses a regional intelligent dispatch algorithm to select the best flying AED that is closest, has sufficient power, and has no flight obstruction, and issues an encrypted take-off rescue command, while simultaneously pushing emergency alarms to the 120 dispatch center and nearby emergency volunteer terminals. S4, the flying AED takes off autonomously from the ground-based base station and uses the binocular obstacle avoidance module to plan a flight path to the initial emergency coordinates; during the flight, it continuously receives dynamic positioning data from the wristband, corrects the flight path in real time, and dynamically follows the moving patient, always maintaining a close-range rescue standby state; if the battery of the unit is low, the cloud automatically dispatches a backup aircraft to take over the rescue, and the unit returns to the base to recharge. After the S5 Flying AED arrives near the dynamic coordinates of the smart emergency wristband, it hovers at low altitude or lands smoothly nearby, automatically opening a two-way audio and video channel to transmit the scene and AED self-check status back to the cloud. S6: Connects to the cloud-based remote doctor guidance terminal, allowing doctors to simultaneously view real-time ECG and on-site images. Standardized rescue guidance is provided through two-way voice communication. One-click control of the onboard laser guidance module projects and marks the electrode bonding area, guiding on-site personnel to complete cardiopulmonary resuscitation, electrode bonding, and defibrillation. S7. From the smart emergency wristband alert to the end of the rescue, the cloud automatically stores the ECG time sequence, aircraft video, medical and patient voice, AED work record, and operation instructions. It is timestamped and encrypted with dual backups to generate an unalterable and complete emergency traceability file, which is then simultaneously pushed to the receiving medical institution. S8. After the rescue is completed or the ambulance takes over the patient, the cloud sends a return command, and the flying AED automatically returns to the nearest parking base station to charge, perform self-checks, and return to idle standby status.

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