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Remote monitoring emergency system

一种远程监护、急救系统的技术,应用在控制/调节系统、计算机辅助医疗程序、医疗自动化诊断等方向,能够解决错过急救时间、错过急救时间窗、患者无法得到实时有效病程监护等问题,达到降低医疗负担的效果

Pending Publication Date: 2022-03-11
潘湘斌 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the remote monitoring and timely intervention of patients are still very insufficient, mainly reflected in: 1. The patient cannot get real-time and effective monitoring of the course of the disease during the period outside the hospital. Unable to perform effective and correct first aid treatment, missing the best first aid time window
2. Sudden onset of sudden onset in patients living alone, no one knows
3. The patient suffers from sudden onset of syncope at night, and it is difficult for the family members to know
4. In a city or an urban-rural combination area, due to traffic congestion or inconvenience, the ambulance cannot reach the scene in time, and the emergency time is missed

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] figure 1 It is an interactive schematic diagram of the remote monitoring emergency system of the present invention, such as figure 1 As shown, the present invention provides a remote patient monitoring and first aid system, including a patient monitoring module, an AI analysis module, a drone control module, a manual control module and a drone.

[0067] The patient wears the patient monitoring module to live a normal life. The detection equipment in the patient monitoring module obtains the monitoring data and positioning data of the patient. The positioning data is transmitted to the AI ​​analysis module in real time or regularly.

[0068] The AI ​​analysis module receives and stores the data transmitted by the patient monitoring module, generates automatic diagnosis results after analyzing the patient monitoring data, and makes judgments on the automatic diagnosis results. When the judgment results are dangerous, it sends an alarm signal to the UAV control module and...

Embodiment 2

[0140] figure 2 It is a topological diagram of the method for judging and processing the diagnosis result by the AI ​​analysis module of the present invention. As shown in FIG. 2 , the present invention provides a method for judging and processing the diagnosis result, including the following steps:

[0141] Step 1 AI analysis module judges whether the diagnosis result is normal, if the judgment result is yes, then ends a judgment cycle; if the judgment result is no, then the AI ​​analysis module sends a diagnosis report to the manual control module according to the preset frequency;

[0142] For example: usually the diagnostic results are divided into four categories: normal, low-risk, medium-risk and high-risk, and the latter three are all abnormal results. If the data is diagnosed as normal, a judgment cycle will end, and the diagnosis result is low-risk data. The system is set so that the AI ​​analysis module sends a diagnosis report to the manual control module every 12 ...

Embodiment 3

[0146] The route planning of the UAV is a crucial part of the execution system in the emergency system. Route planning refers to finding the optimal trajectory from the initial point to the target point to satisfy a certain performance index under certain constraints. Route planning must comprehensively consider the flight characteristics of UAVs, such as: minimum turning radius, climb angle, practical ceiling, etc.; environmental factors, such as: terrain, radar threat source, no-fly zone, thunderstorm area, link coverage area, link Road interference, etc.; task load factors: field of view range, operating distance, overlap rate, etc.

[0147] Efficient route planning algorithms can greatly improve the efficiency and safety of UAV autonomous tasks. The present invention adopts a three-dimensional route planning method based on a rapidly expanding random tree. The algorithm can quickly and effectively search the planning space according to the current environment, and guide t...

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Abstract

The invention provides a remote monitoring emergency system, which comprises a patient monitoring module, an AI analysis module, a manual control module, an unmanned aerial vehicle control module and an unmanned aerial vehicle, and is characterized in that the patient monitoring module transmits monitoring data of a patient to the AI analysis module in real time, the AI analysis module analyzes and stores the data, and when an analysis result is high risk, the unmanned aerial vehicle control module controls the manual control module to control the unmanned aerial vehicle. The AI analysis module sends an alarm signal and patient positioning information to the unmanned aerial vehicle control module, the unmanned aerial vehicle control module commands the unmanned aerial vehicle to take off with preset first-aid equipment and drugs for first aid, meanwhile, the AI analysis module sends an alarm to the manual control module, and a doctor on duty performs subsequent manual rescue work. The invention provides a first-aid system composed of the remote intelligent monitoring and early warning equipment and the unmanned aerial vehicle equipment, patients are monitored in real time, early discovery and early treatment can be achieved, automatic judgment can be conducted when emergency situations occur, the unmanned aerial vehicle is commanded to go for treatment, and treatment delay caused by missed diagnosis, misdiagnosis, traffic jam and the like is avoided.

Description

technical field [0001] The invention relates to a monitoring emergency system, in particular to a remote monitoring emergency system. Background technique [0002] With the development of urbanization, the traffic in most cities in my country is relatively congested, and the traffic in urban and rural areas is inconvenient. It is difficult for traditional ambulances to arrive at the scene in time when patients are acutely ill, and valuable effective first aid time is lost. Taking cardiovascular disease as an example, in 2015, about 17.7 million people died of cardiovascular disease in the world. It is estimated that the number of patients with cardiovascular disease in my country is about 290 million, accounting for more than 40% of the residents' deaths. The main cause of death is sudden Acute events (acute coronary syndrome, malignant arrhythmia, etc.), and more than 70% occurred outside the hospital. Therefore, reducing the out-of-hospital mortality of cardiovascular dise...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/67G16H80/00G16H50/20G16H15/00G05D1/10A61B5/0205
CPCG05D1/101G16H15/00G16H40/67G16H50/20G16H80/00A61B5/0205
Inventor 潘湘斌
Owner 潘湘斌
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