Intelligent first-aid kit and using method

文档序号:198868 发布日期:2021-11-05 浏览:63次 中文

阅读说明:本技术 一种智能急救包及使用方法 (Intelligent first-aid kit and using method ) 是由 朱海燕 唐国庆 陈洁 唐三水 韩国鑫 王亚南 陈丑和 范燨 唐琪 白茹 于 2021-08-02 设计创作,主要内容包括:本发明公开了一种智能急救包装置及使用方法,本装置由控制系统、触摸屏、语音系统、电池、生理检测、指控按压模块、AED、定量注射装置和急救包本体组成;触摸屏设置在前面,后方安装控制电路,上方设有摄像头;存储格根据规定序列存急救药品,设有AED除颤仪、指控按压模块和紧急包扎物品。本装置具备智能诊断功能,可以通过语音与人员进行交互,对患者的急救需求智能识别,明确患者急救措施,同时,可以通过智能系统指令自动提供急救方法、工具及药物,给患者提供智能抢救。通过传感器采集相关数据,具备智能指控反馈功能。同时自动拨打120急救电话,与医院后台互联互通,实现远程在线急救功能。(The invention discloses an intelligent first-aid kit device and a using method thereof, wherein the device consists of a control system, a touch screen, a voice system, a battery, a physiological detection module, a finger-controlled pressing module, an AED (automated medical equipment), a quantitative injection device and a first-aid kit body; the touch screen is arranged in front of the body, the control circuit is arranged at the rear of the touch screen, and the camera is arranged above the touch screen; the storage grid stores emergency drugs according to a specified sequence, and is provided with an AED defibrillator, a finger-controlled pressing module and an emergency dressing. This device possesses intelligent diagnosis function, can interact through pronunciation and personnel, to patient's first aid demand intelligent recognition, makes clear and definite patient's first aid measure, simultaneously, can provide first aid method, instrument and medicine automatically through intelligent system instruction, provides intelligent rescue for the patient. Relevant data are collected through the sensor, and an intelligent control feedback function is achieved. And meanwhile, the emergency call is automatically dialed 120, and the emergency call is interconnected and communicated with the hospital background, so that the remote online emergency function is realized.)

1. An intelligent first-aid kit comprises a first-aid kit body, wherein a multilayer drawer-type medicine box is arranged inside the first-aid kit body; the method is characterized in that: the first-aid kit body is provided with a control system (1), an interaction system (3) and a remote first-aid system, and the remote first-aid system comprises a diagnosis system and a treatment system.

2. The intelligent first aid kit of claim 1, wherein: the control system (1) comprises an intelligent first-aid control module, a medicine box control module and an environment sensing module; the intelligent first-aid control module comprises a processor, a communication module and a positioning module; the medicine box control module comprises a PLC and a driving mechanism, and the driving mechanism is connected with the drawer type medicine box.

3. The intelligent first aid kit of claim 2, wherein: the environment perception module comprises a camera and an environment information sensor module.

4. The intelligent first aid kit of claim 1, wherein: the interaction system (3) comprises a voice module and a touch screen, and the voice module and the touch screen are electrically connected with the control system (1).

5. The intelligent first aid kit of claim 1, wherein: the diagnosis system comprises a physiological data acquisition module (5), wherein the physiological data acquisition module (5) comprises a physiological chest strap and a physiological detection wristwatch; the physiological data acquisition module (5) establishes an information transmission channel with the control system (1) through the communication module.

6. The intelligent first aid kit of claim 1, wherein: the diagnosis system comprises a finger-controlled pressing module (6), the finger-controlled pressing module (6) comprises a pressing glove, and a pressure sensor is arranged at a fingertip position inside the glove; the finger control pressing module (6) is electrically connected with the control system (1).

7. The intelligent first aid kit of claim 1, wherein: the treatment system comprises an AED (7), a quantitative injection device (8) and a plurality of first-aid medicines; the AED (7), the quantitative injection device (8) and various first-aid medicines are all independently placed in the drawer type medicine box.

8. The use method of the intelligent first-aid kit according to any one of claims 1 to 7, characterized in that: the method comprises the following steps:

s1: initializing an intelligent first-aid control module, a medicine box control module, a physiological data acquisition module (5), a voice module and a finger control pressing module (6), and opening the intelligent first-aid control module for interruption;

s2: the voice module collects environmental voice signals and transmits the environmental voice signals to the intelligent first-aid control module, feedback and interaction are carried out according to the collected voice signals, and meanwhile the intelligent first-aid control module sends out a control instruction to the medicine feeding box control module to control the medicine box in which the physiological data collection module (5) is placed to pop up;

s3: the user wears the physiological data acquisition module (5), and the physiological data acquisition module (5) works to read physiological data;

s4: the intelligent first-aid control module acquires physiological data, analyzes and operates the voice signals and the physiological data through an intelligent diagnosis algorithm, sends a control instruction to the medicine box control module according to an analysis result, controls the medicine box of the intelligent first-aid kit to pop up according to the received control instruction, and can automatically dial 120 first-aid calls according to the analysis result;

s5: the intelligent first-aid control module calls decomposition step animation demonstration and voice prompt of corresponding type first-aid in the cloud server according to the analysis result and feeds the decomposition step animation demonstration and the voice prompt back to a user through the interactive system (3); the camera transmits a scene rescue picture to a far-end doctor in real time, and the scene rescue picture is communicated with guidance in real time through the communication module;

s6: a rescuer wears the finger-controlled pressing module (6), the finger-controlled pressing module (6) works, and the cardio-pulmonary resuscitation pressing frequency and pressing depth data are read;

s7: the intelligent first-aid control module acquires data of the finger-controlled pressing module (6), processes and operates the acquired sensor data, and when the cardiopulmonary resuscitation pressing frequency is too high, the intelligent first-aid control module carries out voice prompt to slow down the pressing frequency and when the cardiopulmonary resuscitation pressing frequency is too low, the intelligent first-aid control module carries out voice prompt to accelerate the pressing frequency according to the cardiopulmonary resuscitation pressing frequency and the pressing depth data; when the cardio-pulmonary resuscitation pressing depth is too large, the intelligent first-aid control module performs voice prompt to reduce the pressing pressure, and when the cardio-pulmonary resuscitation pressing depth is too small, the intelligent first-aid control module performs voice prompt to increase the pressing pressure;

s8, circulating S5 to S7 until the set first-aid task is completed; meanwhile, the intelligent first-aid control module is interconnected and communicated with the hospital background through the communication module, and remote online first aid is realized through audio and video information.

9. The method of using an intelligent first aid kit according to claim 8, wherein: the specific method of the intelligent diagnosis algorithm in the S4 is as follows:

a. designing a data structure describing the patient's symptoms;

b. acquiring medical record of patients in hospital by a hospital HIS system; extracting medical record descriptions and preliminary diagnosis results of medical records of required types;

c. the medical record description is used as a training set required by text classification, a preliminary diagnosis result is used as a classification category, and an intelligent diagnosis model based on a deep convolutional neural network is constructed through deep learning;

d. the new medical record descriptions acquired by the intelligent first-aid kit control system are classified by using the established intelligent diagnosis model, the disease category is found out, and intelligent diagnosis support is made.

Technical Field

The invention belongs to the technical field of emergency equipment, and particularly relates to an intelligent emergency kit and a using method thereof.

Background

First-aid kit is intelligent is an important development trend of first-aid kit, and current first-aid kit does not possess intelligent function on the market at present, can not realize intelligent first aid and intelligent function of getting it filled, only possesses simple function of carrying first-aid medicine, when the patient need carry out the first aid, needs the user to possess certain medical knowledge, is difficult to reach better first-aid effect, probably delays patient's valuable first aid time under the severe condition. The fundamental reasons are that: the artificial intelligence auxiliary diagnosis technology applied to the intelligent diagnosis field has the contradiction problems derived from the prediction ability and the training ability: the phenomenon of "overfitting"; 2, the traditional first-aid kit is mostly manufactured by adopting a die from design to manufacture, has complex process and weak designability, and cannot meet the requirements of light weight, portability and quick replacement under the field condition; 3, in the modern artificial intelligence technology, the research on natural language processing and voice processing accounts for most proportion, and under the noise environment, the robustness of the voice recognition system is greatly reduced, the performance is exerted and unstable, and the problem that the voice recognition technology needs to be solved when put into practice on a large scale is also solved.

In the prior art, the patent number is "CN 204932016U", which is named as "first-aid kit with built-in first-aid medical instruments", comprises a plurality of independent small bags with color-developing label marks, which can be separately placed when being stored and carried, and can also be directly taken out of the whole inner bag when being taken out, thereby being very convenient for rapid first-aid.

The patent number is "CN 202458949U", the name is "a new kind of intelligent first aid kit", include the case body, article detector, wire, alarm device and storage battery; the medical instrument storage grooves in the luggage body are all provided with article detectors, the front end of the luggage body is provided with an alarm device and a storage battery, and the article detectors are connected with the alarm device through leads. The novel medical emergency bag is ingenious in design, can remind medical staff of medical equipment lacking in the emergency bag in time, is accurate, and has high use value.

The patent number is "CN 212879836U", the name is "a medical first aid kit", including the first aid kit body, the first aid kit body is the transparent plastic bag body and is the strip, be provided with a plurality of function packages that are used for adorning first aid articles for use on the first aid kit body side by side, one side of this function package be the opening, all the other trilaterals all with the connection is sewed up to the first aid kit body, and each the equal crease of opening part of function package is connected with the sealed welt of bonding in first aid kit body surface, the utility model discloses have independent function package, and conveniently take the medicine.

The patent number is "CN 112315672A", entitled "multifunctional ship station special first aid kit", which comprises a kit body, a kit cover body and an intermediate layer, wherein the intermediate layer is arranged between the kit body and the kit cover body, and one end of the intermediate layer is detachably connected with the connecting end between the kit body and the kit cover body; the cover body is provided with a hemostasis and binding module and/or an auxiliary tool module; the middle layer is provided with a ventilation and pneumothorax instrument module and/or an analgesic and anti-infective instrument module; a fixing module is arranged in the bag box body. The first aid kit contains the module of stanching and wrapping, appurtenance module, ventilation and pneumothorax apparatus module, the anti-infective apparatus module of relieving pain and/or fixed module, chooses each module according to the first aid demand, and each independent module all can reach nimble, quick, independent installation and get and put, mutual noninterference.

In the above-mentioned technique, do not all possess intelligent diagnosis function, can not interact with personnel through pronunciation, to patient's first aid demand intelligent recognition, clear and definite patient's first aid measure, simultaneously, can not provide first aid method, instrument and medicine automatically through intelligent system instruction, provide intelligent rescue for the patient. The functions of collecting related data and intelligently controlling feedback through a sensor are lacked. The automatic dialing 120 emergency call is not available, and the automatic dialing 120 emergency call is interconnected and communicated with the hospital background, so that the remote online emergency function is realized.

Therefore, there is a need to design an intelligent first aid kit device to address the shortcomings of existing first aid kits.

Disclosure of Invention

The invention aims to solve the technical problem of providing an intelligent first-aid kit and a using method thereof. Relevant data are collected through the sensor, intelligent feedback is achieved, and accuracy of emergency measures is guaranteed. Meanwhile, the emergency call is automatically dialed 120 according to the condition of the patient, and the emergency call can also be interconnected and communicated with the hospital background, so that remote online emergency is realized.

In order to solve the technical problems, the technical scheme adopted by the invention is as follows: an intelligent first-aid kit comprises a first-aid kit body, wherein a multilayer drawer-type medicine box is arranged inside the first-aid kit body; the first-aid kit body is provided with a control system, an interactive system and a remote first-aid system, wherein the remote first-aid system comprises a diagnosis system and a treatment system.

Preferably, the control system comprises an intelligent first aid control module, a medicine box control module and an environment sensing module; the intelligent first-aid control module comprises a processor, a communication module and a positioning module; the medicine box control module comprises a PLC and a driving mechanism, and the driving mechanism is connected with the drawer type medicine box.

Further, the processor is preferably based on an RK3288 microprocessor of an ARM-Cortex A17 core; the communication module preferably selects a data line to communicate with the interface, the Bluetooth module is respectively used for wired and wireless communication between field devices, and the LTE module is preferably used for remote communication; the Beidou positioning module is preferably selected by the positioning module; the driving mechanism is preferably a telescopic motor; the intelligent first-aid control module is internally provided with a power module comprising a battery, a code scanning module and a memory.

Preferably, the environment sensing module comprises a camera and an environment information sensor module.

Further, the environmental information sensor module comprises a temperature sensor, a humidity sensor and an illumination sensor; the system can realize field image acquisition and remote transmission to a remote hospital background to sense the posture and environmental information of the personnel.

Preferably, the interactive system comprises a voice module and a touch screen, and the voice module and the touch screen are both electrically connected with the control system.

Furthermore, the voice module comprises a microphone and loudspeaker module, a noise reduction module and a voice recognition module, and a voice recognition algorithm is built in the voice recognition module.

Preferably, the diagnostic system comprises a physiological data acquisition module, the physiological data acquisition module comprises a physiological chest strap and a physiological detection wristwatch; the physiological data acquisition module establishes an information transmission channel with the control system through the Bluetooth module; the intelligent wristwatch and the intelligent chest strap can carry out intelligent monitoring on heart rate, blood pressure, oxyhemoglobin saturation, electrocardio, heart rate, body temperature and respiratory frequency in the actual working process, and send to first-aid kit control system through the bluetooth, provide remote physiological monitoring diagnosis.

Preferably, the diagnosis system comprises a finger-controlled pressing module, the finger-controlled pressing module comprises a pressing glove, and a pressure sensor is arranged at a fingertip position inside the glove; the finger control pressing module is electrically connected with the control system; the pressure sensor is preferably a flexible film pressure sensor with the model of RP-S40-ST, the pressing force and frequency can be monitored through finger-controlled pressing, the first-aid operation accuracy can be judged, and audio and video information is provided through a control system for real-time guidance.

Preferably, the treatment system comprises an AED, a metered dose injection device, and a plurality of types of emergency drugs; the physiological data acquisition module, the finger-controlled pressing module, the AED, the quantitative injection device and the plurality of first-aid medicines are all independently placed in the drawer type medicine box; the multiple types of medicines are stored in different regions according to different classifications of first-aid symptoms.

Preferably, the method for using the intelligent first-aid kit comprises the following steps:

s1: initializing an intelligent first-aid control module, a medicine box control module, a physiological data acquisition module, a voice module and a finger control pressing module, and opening the intelligent first-aid control module for interruption;

s2: the voice module collects environmental voice signals and transmits the environmental voice signals to the intelligent first-aid control module, feedback and interaction are carried out according to the collected voice signals, and meanwhile the intelligent first-aid control module sends out a control instruction to the medicine feeding box control module to control the medicine box in which the physiological data collection module is placed to pop up;

s3: a user wears a physiological data acquisition module, and the physiological data acquisition module works to read physiological data;

s4: the intelligent first-aid control module acquires physiological data, analyzes and operates the voice signals and the physiological data through an intelligent diagnosis algorithm, sends a control instruction to the medicine box control module according to an analysis result, controls the medicine box of the intelligent first-aid kit to pop up according to the received control instruction, and can automatically dial 120 first-aid calls according to the analysis result;

s5: the intelligent first-aid control module calls decomposition step animation demonstration and voice prompt corresponding to the type of first-aid in the cloud server according to the analysis result and feeds the decomposition step animation demonstration and the voice prompt back to the user through the interactive system; the camera transmits a scene rescue picture to a far-end doctor in real time, and the scene rescue picture is communicated with guidance in real time through the communication module;

s6: a rescuer wears the finger-controlled pressing module, and the finger-controlled pressing module works to read the cardio-pulmonary resuscitation pressing frequency and pressing depth data;

s7: the intelligent first-aid control module acquires data of the finger-controlled pressing module, processes and operates the acquired sensor data, and when the cardiopulmonary resuscitation pressing frequency is too high, the intelligent first-aid control module carries out voice prompt to slow down the pressing frequency and when the cardiopulmonary resuscitation pressing frequency is too low, the intelligent first-aid control module carries out voice prompt to accelerate the pressing frequency according to the cardiopulmonary resuscitation pressing frequency and the pressing depth data; when the cardio-pulmonary resuscitation pressing depth is too large, the intelligent first-aid control module performs voice prompt to reduce the pressing pressure, and when the cardio-pulmonary resuscitation pressing depth is too small, the intelligent first-aid control module performs voice prompt to increase the pressing pressure;

s8, circulating S5 to S7 until the set first-aid task is completed; meanwhile, the intelligent first-aid control module is interconnected and communicated with the hospital background through the communication module, and remote online first aid is realized through audio and video information.

Preferably, the method for using the intelligent first aid kit, the specific method of the intelligent diagnosis algorithm in S4 is as follows:

a. designing a data structure describing the patient's symptoms;

b. acquiring medical record of patients in hospital by a hospital HIS system; extracting medical record descriptions and preliminary diagnosis results of medical records of required types;

c. the medical record description is used as a training set required by text classification, a preliminary diagnosis result is used as a classification category, and an intelligent diagnosis model based on a deep convolutional neural network is constructed through deep learning;

d. the new medical record descriptions acquired by the intelligent first-aid kit control system are classified by using the established intelligent diagnosis model, the disease category is found out, and intelligent diagnosis support is made.

Furthermore, the intelligent diagnosis algorithm is based on a deep convolutional neural network intelligent diagnosis model, integrates a cloud computing technology, a big data mining technology and a visualization technology, constructs a medical knowledge map facing to precise medical big data, provides an effective compression algorithm of the medical data based on deep learning, and a distributed rapid transmission model, obtains a small-scale network suitable for a first aid kit platform, creates a region positioning method based on angular point distribution and an optimization method for improving Hough transform rapid positioning DM codes, provides a timing reminding strategy of daily reminding and emergency calling, optimizes the identification algorithm, and obtains a high-robustness self-adaptive sampling algorithm.

The invention has the beneficial effects that:

the invention can interact with personnel through voice, intelligently identify the emergency requirements of patients, clarify the emergency measures of the patients, automatically provide emergency methods, tools and medicines according to the instructions of an intelligent system, and provide intelligent rescue for the patients. Relevant data are collected through the sensor, intelligent feedback is achieved, and accuracy of emergency measures is guaranteed. Meanwhile, the emergency call is automatically dialed 120 according to the condition of the patient, and the emergency call can also be interconnected and communicated with the hospital background, so that remote online emergency is realized; by means of an intelligent diagnosis algorithm, preliminary diagnosis is automatically carried out based on cloud computing and accurate medical big data, and remote voice picture communication is matched, effective, accurate and quick first-time rescue can be provided, the rescue rate of a user facing sudden diseases can be greatly improved, and precious duration time is won for subsequent further rescue; the device can effectively improve the stability of the voice interaction system in use by matching an active noise reduction module of the interaction system through a high-robustness self-adaptive sampling algorithm; the first-aid packaging device is simple in body design and high in modularization degree, can be designed and assembled according to actual needs, and meets the requirements of light weight, portability and quick replacement under the field condition.

Drawings

FIG. 1 is a schematic front view of the present invention;

FIG. 2 is a schematic view of the structure of the automatic medicine feeding device of the medicine box of the present invention

FIG. 3 is a schematic diagram of the connection of the control system of the present invention;

the reference numbers in the figures are: the system comprises a control system 1, a touch screen 2, an interactive system 3, a battery 4, a physiological data acquisition module 5, a finger-controlled pressing module 6, an AED7, a quantitative injection device 8, a medicine bottle 11 and a telescopic motor 21.

Detailed Description

Example 1:

an intelligent first-aid kit comprises a first-aid kit body, wherein a multilayer drawer-type medicine box is arranged inside the first-aid kit body; the first-aid kit body is provided with a control system 1, an interactive system 3 and a remote first-aid system, wherein the remote first-aid system comprises a diagnosis system and a treatment system.

Preferably, the control system 1 comprises an intelligent first aid control module, a medicine box control module and an environment sensing module; the intelligent first-aid control module comprises a processor, a communication module and a positioning module; the medicine box control module comprises a PLC and a driving mechanism, and the driving mechanism is connected with the drawer type medicine box.

Further, the processor is preferably based on an RK3288 microprocessor of an ARM-Cortex A17 core; the communication module preferably selects a data line to communicate with the interface, the Bluetooth module is respectively used for wired and wireless communication between field devices, and the LTE module is preferably used for remote communication; the Beidou positioning module is preferably selected by the positioning module; the driving mechanism is preferably a telescopic motor 21; the intelligent first-aid control module is internally provided with a power module comprising a battery 4, a code scanning module and a memory.

Preferably, the environment sensing module comprises a camera and an environment information sensor module.

Further, the environmental information sensor module comprises a temperature sensor, a humidity sensor and an illumination sensor; the system can realize field image acquisition and remote transmission to a remote hospital background to sense the posture and environmental information of the personnel.

Preferably, the interactive system 3 includes a voice module and a touch screen 2, and both the voice module and the touch screen 2 are electrically connected to the control system 1.

Furthermore, the voice module comprises a microphone and loudspeaker module, a noise reduction module and a voice recognition module, and a voice recognition algorithm is built in the voice recognition module.

Preferably, the diagnostic system comprises a physiological data acquisition module 5, the physiological data acquisition module 5 comprises a physiological chest strap and a physiological detection wristwatch; the physiological data acquisition module 5 establishes an information transmission channel with the control system 1 through a Bluetooth module; the intelligence watch and intelligent chest strap can carry out intelligent monitoring to rhythm of the heart, blood pressure, oxyhemoglobin saturation, electrocardio, rhythm of the heart, body temperature and respiratory frequency at the actual work in-process to send to first aid kit control system 1 through the bluetooth, provide long-range physiology monitoring diagnosis.

Preferably, the diagnosis system comprises a finger-controlled pressing module 6, the finger-controlled pressing module 6 comprises a pressing glove, and a pressure sensor is arranged at a fingertip position inside the glove; the finger control pressing module 6 is electrically connected with the control system 1; the pressure sensor is preferably a flexible film pressure sensor with the model of RP-S40-ST, the pressing force and frequency can be monitored through finger-controlled pressing, the first-aid operation accuracy can be judged, and audio and video information is provided through the control system 1 for real-time guidance.

Preferably, the treatment system includes an AED7, a metered dose injection device 8, and a plurality of types of emergency drugs; the physiological data acquisition module 5, the finger-controlled pressing module 6, the AED7, the quantitative injection device 8 and various first-aid medicines are all independently placed in a drawer type medicine box; the multiple types of medicines are stored in different regions according to different classifications of first-aid symptoms.

Example 2:

the use method of the intelligent first-aid kit comprises the following steps:

s1: initializing an intelligent first-aid control module, a medicine box control module, a physiological data acquisition module 5, a voice module and a finger control pressing module 6, and opening the intelligent first-aid control module for interruption;

s2: the voice module collects environmental voice signals and transmits the environmental voice signals to the intelligent first-aid control module, feedback and interaction are carried out according to the collected voice signals, and meanwhile the intelligent first-aid control module sends out a control instruction to the medicine feeding box control module to control the medicine box in which the physiological data collection module 5 is placed to pop up;

s3: the user wears the physiological data acquisition module 5, and the physiological data acquisition module 5 works to read physiological data;

s4: the intelligent first-aid control module acquires physiological data, analyzes and operates the voice signals and the physiological data through an intelligent diagnosis algorithm, sends a control instruction to the medicine box control module according to an analysis result, controls the medicine box of the intelligent first-aid kit to pop up according to the received control instruction, and can automatically dial 120 first-aid calls according to the analysis result;

s5: the intelligent first-aid control module calls decomposition step animation demonstration and voice prompt corresponding to the type of first-aid in the cloud server according to the analysis result and feeds the decomposition step animation demonstration and the voice prompt back to the user through the interactive system 3; the camera transmits a scene rescue picture to a far-end doctor in real time, and the scene rescue picture is communicated with guidance in real time through the communication module;

s6: the rescuer wears the finger-controlled pressing module 6, the finger-controlled pressing module 6 works, and the cardio-pulmonary resuscitation pressing frequency and pressing depth data are read;

s7: the intelligent first-aid control module acquires data of the finger-controlled pressing module 6, processes and operates the acquired sensor data, and when the cardiopulmonary resuscitation pressing frequency is too high, the intelligent first-aid control module carries out voice prompt to slow down the pressing frequency and when the cardiopulmonary resuscitation pressing frequency is too low, the intelligent first-aid control module carries out voice prompt to accelerate the pressing frequency according to the cardiopulmonary resuscitation pressing frequency and the pressing depth data; when the cardio-pulmonary resuscitation pressing depth is too large, the intelligent first-aid control module performs voice prompt to reduce the pressing pressure, and when the cardio-pulmonary resuscitation pressing depth is too small, the intelligent first-aid control module performs voice prompt to increase the pressing pressure;

s8, circulating S5 to S7 until the set first-aid task is completed; meanwhile, the intelligent first-aid control module is interconnected and communicated with the hospital background through the communication module, and remote online first aid is realized through audio and video information.

Example 3:

in the application method of the intelligent first-aid kit, the specific method of the intelligent diagnosis algorithm is as follows:

a. designing a data structure describing the patient's symptoms;

b. acquiring medical record of patients in hospital by a hospital HIS system; extracting medical record descriptions and preliminary diagnosis results of medical records of required types;

c. the medical record description is used as a training set required by text classification, a preliminary diagnosis result is used as a classification category, and an intelligent diagnosis model based on a deep convolutional neural network is constructed through deep learning;

d. the new medical record descriptions obtained by the intelligent first-aid kit control system 1 are classified by using the established intelligent diagnosis model, the disease category is found out, and intelligent diagnosis support is made.

Furthermore, the intelligent diagnosis algorithm is based on a deep convolutional neural network intelligent diagnosis model, integrates a cloud computing technology, a big data mining technology and a visualization technology, constructs a medical knowledge map facing to precise medical big data, provides an effective compression algorithm of the medical data based on deep learning, and a distributed rapid transmission model, obtains a small-scale network suitable for a first aid kit platform, creates a region positioning method based on angular point distribution and an optimization method for improving Hough transform rapid positioning DM codes, provides a timing reminding strategy of daily reminding and emergency calling, optimizes the identification algorithm, and obtains a high-robustness self-adaptive sampling algorithm.

The above-described embodiments are merely preferred embodiments of the present invention, and should not be construed as limiting the present invention, and features in the embodiments and examples in the present application may be arbitrarily combined with each other without conflict. The protection scope of the present invention is defined by the claims, and includes equivalents of technical features of the claims. I.e., equivalent alterations and modifications within the scope hereof, are also intended to be within the scope of the invention.

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