CN114847872A - Medical diagnosis system based on Internet of things technology and implementation method thereof - Google Patents
Medical diagnosis system based on Internet of things technology and implementation method thereof Download PDFInfo
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- CN114847872A CN114847872A CN202110154278.4A CN202110154278A CN114847872A CN 114847872 A CN114847872 A CN 114847872A CN 202110154278 A CN202110154278 A CN 202110154278A CN 114847872 A CN114847872 A CN 114847872A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention aims to establish an observation room capable of recording patients in the whole process and knowing eating habits and the like of the patients, and particularly relates to a medical diagnosis system based on the Internet of things technology and an implementation method thereof. The system comprises a data acquisition module, a data transmission module and a data processing module, wherein the data acquisition module, the data transmission module and the data processing module are in signal connection. The first step, equipment arrangement; step two, selecting a mode: after the relevant equipment is deployed, a professional mode or a common mode can be selected for relevant scenes; thirdly, after the mode is selected, the environment control equipment sets the environment including temperature, moderate degree, noise and the like according to the data returned by the detection equipment, so that the current environment meets the observation conditions as much as possible; fourthly, processing data; and fifthly, recovering and processing the data. Has the advantages that: medical resources are saved, observation conditions are close to usual living habits of patients, doctors are assisted to diagnose the illness state, and some bad living habits are reminded and corrected.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to a medical diagnosis system based on the Internet of things technology and an implementation method thereof.
Background
In order to solve the current situation of insufficient medical resources in China, various APPs for watching doctors on line emerge endlessly, and diagnosis is carried out in a way of carrying out video, telephone and the like with the doctors remotely. But the distance and the non-professionalism of the description of the patient bring inconvenience to the diagnosis of a doctor and influence the accuracy of the diagnosis. Moreover, some cases cannot be diagnosed by patient description or machine examination, and require long-term observation.
Some diseases are caused by the accumulated result of the long-term and old months or unhealthy eating habits, and long-time observation is needed, but the living habits of patients cannot be accurately restored when the patients are observed in hospitals, and the current medical conditions cannot ensure that each patient is accompanied by doctors for observation. A great deal of manpower, material resources and financial resources are wasted, and the result is always unsatisfactory.
Therefore, a system capable of recording daily lives and habits of patients in the whole course and providing accurate observation effect for medical treatment is urgently needed.
Disclosure of Invention
The invention aims to establish an observation room capable of recording patients in the whole course and knowing eating habits and the like of the patients, and particularly relates to a medical diagnosis system based on the Internet of things technology and an implementation method thereof.
A medical diagnosis system based on the Internet of things technology comprises a data acquisition module, a data transmission module and a data processing module which are in signal connection, wherein the data acquisition module comprises an environment state monitoring unit, an environment monitoring unit and a human body detection unit, the environment state monitoring unit comprises a temperature sensor and a humidity sensor, the temperature sensor is used for acquiring air temperature data, the humidity sensor is used for acquiring air humidity data, the environment monitoring unit is used for detecting whether the current environment is beneficial to human health, the human body detection unit is used for detecting various data of a human body, the human body behavior monitoring unit is used for acquiring image data through real-time video monitoring of a camera, the data acquisition module classifies various data according to requirements and carries out real-time monitoring on real-time environment and human body state, the data acquisition module is connected with a plurality of sensor nodes, and transmits the received data to the data processing module after preprocessing; the data transmission module acts between the data acquisition module and the data processing module and provides a data channel medium; the data processing module classifies and sorts various environmental data and human body state data transmitted from the data acquisition module, analyzes the data and stores the data in a corresponding database, so that the data can guide the subsequent disease judgment and provide guidance basis for experts. The data processing module comprises a remote intelligent monitoring management module and a medical expert guidance service module; the remote intelligent monitoring management module intercepts images from videos acquired by real-time video monitoring of the camera, extracts living habits and behavior habits and behaviors of people in the video images as comprehensive characteristics, further classifies the extracted comprehensive characteristics of the human body and estimated illness states by adopting a neural network method, compares the extracted comprehensive characteristics with illness states in a database for analysis, delivers the analyzed living habits and results to online experts of a system for further judgment, feeds corresponding guidance means back to users, learns the analysis results of the human body, detects the illness states related to the human body, carries out early warning in time, reports the results to the corresponding users, queries the database, finds out corresponding solutions and forwards the solutions to the users; the agricultural expert guidance service module is used for being corrected by an expert when the state of an illness is judged, when a user has a problem in the using process, the user can remotely communicate with a medical related expert, and the expert can check the current body condition and historical monitoring data of the user according to various data and real-time videos to remotely guide the user.
Implementation method of medical diagnosis system based on Internet of things technology
The method comprises the following steps of firstly arranging equipment, wherein the equipment is firstly arranged before observation, and mainly comprises image acquisition equipment (a camera), audio acquisition equipment, environment control equipment and a data processing module
Step two, selecting a mode: after the relevant equipment is deployed, the selection of the professional mode or the common mode of the relevant scene can be carried out.
The professional mode is suitable for professional places such as hospitals and the like, and mainly aims at some diseases suitable for short-time observation, doctors can set in advance in the professional mode to determine the direction of the diseases needing to be observed, and the device is told to pay close attention to body parameters for purposeful observation. For example, the mental state of the patient is judged by the collected audio and video equipment and the worn intelligent detection equipment, the excrement is tested by installing corresponding testing equipment on a closestool, and the sleep quality, the pressure and the like are detected by the intelligent equipment such as an intelligent bracelet and the like.
The common mode is suitable for being arranged in a daily life range, is suitable for diseases caused by perennial accumulation or diseases caused by diet and other problems, mainly performs a plurality of relatively wide observations, and mainly observes behavior habits, diet habits, moods and the like of an observed person. In a common mode, the living habits, eating habits, moods and the like of the patients are mainly observed; besides, necessary data such as blood pressure, heartbeat, blood sugar and the like of the patient are detected.
And thirdly, after the mode is selected, the environment control equipment sets the environment including temperature, moderate degree, noise and the like according to the data returned by the detection equipment, so that the current environment meets the observation conditions as much as possible.
Fourthly, processing the data, wherein the received data can be displayed on a display in real time in a professional mode, and an alarm is given once the abnormality or the deviation from a normal value is found; in a common mode, when the user has behaviors harmful to physical health, a warning is given out, the user is reminded, a health report is generated by recording, diseases possibly generated by the user are inferred, and the user is reminded to perform related examination regularly.
And fifthly, recovering and processing the data, collecting the data and deducing the state of illness, correcting the judgment result through the assistance of relevant experts such as doctors and the like, and storing the data in a database. And (3) establishing a database of the disease caused by the behavior, and continuously improving the success rate of observation and judgment along with the accumulation of data.
A normal mode:
when the system starts to operate, the control center starts to detect through set parameters and stores data into the behavior detection module. The monitoring module receives the feedback of the subsystem in real time. Meanwhile, specific parameters of the body health of the user are issued to each relevant detection device, the devices are allowed to carry out some judgments by themselves, and meanwhile, the specific parameters are periodically fed back to the main management device.
When the monitoring device monitors that the current behavior action of the user is harmful to health, the monitoring device reminds the user, records the illegal behavior of the user, compares the illegal behavior with the recording database, reminds the user to perform physical examination on the relevant aspect when the behavior frequency harmful to the body health of the user is found to exceed the preset online frequency, and informs a guardian of the behavior, so that the old is prevented from giving up the examination due to trouble.
And when the violation behaviors of the user do not exceed the upper limit, recording the violation behaviors of the user and accumulating.
And finally, generating a health report according to the time preset by the user and distributing the health report to the user and the guardian of the user.
Professional mode:
when the system starts to operate, the control center starts to detect through set parameters and stores data into the behavior detection module. The monitoring module receives the feedback of the subsystem in real time. Meanwhile, specific parameters of the body health of the user are issued to each relevant detection device, the devices are allowed to carry out some judgments by themselves, and meanwhile, the specific parameters are periodically fed back to the main management device.
When the system detects that the observed object is abnormal, the system quickly gives an alarm to a main doctor and informs a relevant department of coming diagnosis and treatment to prepare relevant medical resources for a patient.
In the above two modes, the data processing flow is as follows: after the behaviors of the user are monitored, firstly, the behaviors are compared with the database, whether the behaviors are coincident with the existing illegal behaviors or not is judged, if the behaviors are coincident, an alarm is given, and if the behaviors are not coincident, the behaviors are recorded, if the user is ill after a long time, whether the behaviors are related to the behaviors or not is judged, if the behaviors are related, the database harmful to the body is added, and if the behaviors are not related, the database harmful to the body is added.
Has the advantages that: the utility model provides a specific say that build an observation room that is applicable to at any time and anywhere and carries out patient observation through the thing networking, save medical resources, make the condition of observing be close to patient's life habit at ordinary times, supplementary doctor carries out the diagnosis of the state of an illness, reminds and corrects some not good life habits simultaneously.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow diagram of a general mode of an intelligent monitoring room;
FIG. 2 is a flow chart of a professional mode of an intelligent monitoring room;
FIG. 3 is a flow diagram of an intelligent monitoring room database management.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
A medical diagnosis system based on the Internet of things technology comprises a data acquisition module, a data transmission module and a data processing module which are in signal connection, wherein the data acquisition module comprises an environment state monitoring unit, an environment monitoring unit and a human body detection unit, the environment state monitoring unit comprises a temperature sensor and a humidity sensor, the temperature sensor is used for acquiring air temperature data, the humidity sensor is used for acquiring air humidity data, the environment monitoring unit is used for detecting whether the current environment is beneficial to human health, the human body detection unit is used for detecting various data of a human body, the human body behavior monitoring unit is used for acquiring image data through real-time video monitoring of a camera, the data acquisition module classifies various data according to requirements and carries out real-time monitoring on real-time environment and human body state, the data acquisition module is connected with a plurality of sensor nodes, and transmits the received data to the data processing module after preprocessing; the data transmission module acts between the data acquisition module and the data processing module and provides a data channel medium; the data processing module classifies and sorts various environmental data and human body state data transmitted from the data acquisition module, analyzes the data and stores the data in a corresponding database, so that the data can guide the subsequent disease judgment and provide guidance basis for experts. The data processing module comprises a remote intelligent monitoring management module and a medical expert guidance service module; the remote intelligent monitoring management module intercepts images from videos acquired by real-time video monitoring of the camera, extracts living habits and behavior habits and behaviors of people in the video images as comprehensive characteristics, further classifies the extracted comprehensive characteristics of the human body and estimated illness states by adopting a neural network method, compares the extracted comprehensive characteristics with illness states in a database for analysis, delivers the analyzed living habits and results to online experts of a system for further judgment, feeds corresponding guidance means back to users, learns the analysis results of the human body, detects the illness states related to the human body, carries out early warning in time, reports the results to the corresponding users, queries the database, finds out corresponding solutions and forwards the solutions to the users; the agricultural expert guidance service module is used for being corrected by an expert when the state of an illness is judged, when a user has a problem in the using process, the user can remotely communicate with a medical related expert, and the expert can check the current body condition and historical monitoring data of the user according to various data and real-time videos to remotely guide the user.
Implementation method of medical diagnosis system based on Internet of things technology
The method comprises the following steps of firstly arranging equipment, wherein the equipment is firstly arranged before observation, and mainly comprises image acquisition equipment (a camera), audio acquisition equipment, environment control equipment and a data processing module
Step two, selecting a mode: after the relevant equipment is deployed, the selection of the professional mode or the common mode of the relevant scene can be carried out.
The professional mode is suitable for professional places such as hospitals and the like, and mainly aims at some diseases suitable for short-time observation, doctors can set in advance in the professional mode to determine the direction of the diseases needing to be observed, and the device is told to pay close attention to body parameters for purposeful observation. For example, the mental state of the patient is judged by the collected audio and video equipment and the worn intelligent detection equipment, the excrement is tested by installing corresponding testing equipment on a closestool, and the sleep quality, the pressure and the like are detected by the intelligent equipment such as an intelligent bracelet and the like.
The common mode is suitable for being arranged in a daily life range, is suitable for diseases caused by perennial accumulation or diseases caused by diet and other problems, mainly performs a plurality of relatively wide observations, and mainly observes behavior habits, diet habits, moods and the like of an observed person. In a common mode, the living habits, eating habits, moods and the like of the patients are mainly observed; besides, necessary data such as blood pressure, heartbeat, blood sugar and the like of the patient are detected.
And thirdly, after the mode is selected, the environment control equipment sets the environment including temperature, moderate degree, noise and the like according to the data returned by the detection equipment, so that the current environment meets the observation conditions as much as possible.
Fourthly, processing the data, wherein the received data can be displayed on a display in real time in a professional mode, and an alarm is given once the abnormality or the deviation from a normal value is found; in a common mode, when the user has behaviors harmful to physical health, a warning is given out, the user is reminded, a health report is generated by recording, diseases possibly generated by the user are inferred, and the user is reminded to perform related examination regularly.
And fifthly, recovering and processing the data, collecting the data and deducing the state of illness, correcting the judgment result through the assistance of relevant experts such as doctors and the like, and storing the data in a database. And (3) establishing a database of the disease caused by the behavior, and continuously improving the success rate of observation and judgment along with the accumulation of data.
As shown in fig. 1
When the system starts to operate, the control center starts to detect through set parameters and stores data into the behavior detection module. The monitoring module receives the feedback of the subsystem in real time. Meanwhile, specific parameters of the body health of the user are issued to each relevant detection device, the devices are allowed to carry out some judgments by themselves, and meanwhile, the specific parameters are periodically fed back to the main management device.
When the monitoring device monitors that the current behavior action of the user is harmful to health, the monitoring device reminds the user, records the illegal behavior of the user, compares the illegal behavior with the recording database, reminds the user to perform physical examination on the relevant aspect when the behavior frequency harmful to the body health of the user is found to exceed the preset online frequency, and informs a guardian of the behavior, so that the old is prevented from giving up the examination due to trouble.
And when the violation behaviors of the user do not exceed the upper limit, recording the violation behaviors of the user and accumulating.
And finally, generating a health report according to the time preset by the user and distributing the health report to the user and the guardian of the user.
As shown in fig. 2
When the system starts to operate, the control center starts to detect through set parameters and stores data into the behavior detection module. The monitoring module receives the feedback of the subsystem in real time. Meanwhile, specific parameters of the body health of the user are issued to each relevant detection device, the devices are allowed to carry out some judgments by themselves, and meanwhile, the specific parameters are periodically fed back to the main management device.
When the system detects that the observed object is abnormal, the system quickly gives an alarm to a main doctor and informs a relevant department of coming diagnosis and treatment to prepare relevant medical resources for a patient.
As shown in fig. 3, the data processing flow is: after the behaviors of the user are monitored, firstly, the behaviors are compared with the database, whether the behaviors are coincident with the existing illegal behaviors or not is judged, if the behaviors are coincident, an alarm is given, and if the behaviors are not coincident, the behaviors are recorded, if the user is ill after a long time, whether the behaviors are related to the behaviors or not is judged, if the behaviors are related, the database harmful to the body is added, and if the behaviors are not related, the database harmful to the body is added.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A medical diagnosis system based on the technology of the Internet of things is characterized in that: the system comprises a data acquisition module, a data transmission module and a data processing module, wherein the data acquisition module, the data transmission module and the data processing module are in signal connection.
2. The medical diagnosis system based on the internet of things technology as claimed in claim 1, wherein: the data acquisition module comprises an environment state monitoring unit and a human body state monitoring unit, wherein the environment state monitoring unit comprises a temperature and humidity monitoring unit, an environment monitoring unit and a human body detection unit, wherein the temperature and humidity monitoring unit comprises a temperature sensor and a humidity sensor, the temperature sensor is used for collecting air temperature data, the humidity sensor is used for collecting air humidity data, the environment monitoring unit is used for detecting whether the current environment is beneficial to human health, the human body detecting unit is used for detecting various data of human body, the human body behavior monitoring carries out image data acquisition by real-time video monitoring of a camera, the data acquisition module classifies various data according to requirements to carry out real-time monitoring on the real-time environment and the human body state, the data acquisition module is connected with a plurality of sensor nodes, and transmits the received data to the data processing module after preprocessing.
3. The medical diagnosis system based on the internet of things technology as claimed in claim 1, wherein: the data transmission module acts between the data acquisition module and the data processing module and provides a data channel medium.
4. The medical diagnosis system based on the internet of things technology as claimed in claim 1, wherein: the data processing module classifies and arranges various environmental data and human body state data transmitted from the data acquisition module, analyzes the data and stores the data in a corresponding database so as to guide the subsequent disease judgment and provide guidance basis for experts, and the data processing module comprises a remote intelligent monitoring management module and a medical expert guidance service module; the remote intelligent monitoring management module intercepts images from videos acquired by real-time video monitoring of the camera, extracts living habits and behavior habits and behaviors of people in the video images as comprehensive characteristics, further classifies the extracted comprehensive characteristics of the human body and estimated illness states by adopting a neural network method, compares the extracted comprehensive characteristics with illness states in a database for analysis, delivers the analyzed living habits and results to online experts of a system for further judgment, feeds corresponding guidance means back to users, learns the analysis results of the human body, detects the illness states related to the human body, carries out early warning in time, reports the results to the corresponding users, queries the database, finds out corresponding solutions and forwards the solutions to the users; the agricultural expert guidance service module is used for being corrected by an expert when the state of an illness is judged, when a user has a problem in the using process, the user can remotely communicate with a medical related expert, and the expert can check the current body condition and historical monitoring data of the user according to various data and real-time videos to remotely guide the user.
5. A medical diagnosis system implementation method based on the technology of the Internet of things is characterized in that:
the method comprises the following steps that firstly, equipment is arranged, wherein before observation, related equipment is arranged, and the equipment mainly comprises image acquisition equipment, audio acquisition equipment, environment control equipment and a data processing module;
step two, selecting a mode: after the relevant equipment is deployed, a professional mode or a common mode can be selected for relevant scenes;
the professional mode is suitable for professional places such as hospitals and the like, and mainly aims at some diseases suitable for short-time observation, doctors can preset in the professional mode to determine the direction of the diseases needing to be observed, and tell the equipment which body parameters should be closely concerned, so as to carry out purposeful observation, for example, collected audio and video equipment and worn intelligent detection equipment are used for judging the mental state of a patient, corresponding assay equipment is arranged on a closestool for assaying the excrement, and intelligent equipment such as an intelligent bracelet is used for detecting sleep quality, pressure and the like;
the common mode is suitable for being arranged in a daily life range, is suitable for diseases caused by perennial accumulation or diseases caused by diet and other problems, mainly performs a plurality of relatively wide observations, mainly observes behavior habits, diet habits and emotions of observed persons, and mainly observes life habits, diet habits, emotions and the like of patients in the common mode; in addition, necessary data such as blood pressure, heartbeat, blood sugar and the like of the patient are detected;
thirdly, after the mode is selected, the environment control equipment sets the environment including temperature, moderate degree, noise and the like according to the data returned by the detection equipment, so that the current environment meets the observation conditions as much as possible;
fourthly, processing the data, wherein the received data can be displayed on a display in real time in a professional mode, and an alarm is given once the abnormality or the deviation from a normal value is found; under a common mode, when a user has behaviors harmful to body health, a warning is given out, the user is reminded and recorded to generate a health report, diseases which the user may possibly generate are inferred, and the user is reminded to carry out related examination regularly;
and fifthly, recovering and processing the data, correcting the judgment result by assistance of relevant experts such as doctors and the like while collecting the data and deducing the state of an illness, storing the data in a database, establishing a database causing illness due to behaviors, and continuously improving the success rate of observation and judgment along with the accumulation of the data.
6. The implementation method of the medical diagnosis system based on the technology of the internet of things as claimed in claim 5, wherein: a normal mode: when the system starts to operate, the control center starts to detect through set parameters, the data are stored in the behavior detection module, the monitoring module receives feedback of the subsystem in real time, specific parameters of the body health of the user are issued to each relevant detection device at the same time, the devices are allowed to automatically make some judgments and periodically feed back to the main management device, when the monitoring device monitors that the current behavior action of the user is harmful to the health, the monitoring device reminds the user and records the illegal behaviors of the user, the monitoring device is compared with the recording database, when the behavior frequency of the user harmful to the body health exceeds the preset online frequency, the monitoring device reminds the user to perform physical examination on relevant aspects and informs a guardian of the monitoring device to prevent the old from giving up examination due to troubles, when the illegal behaviors of the user do not exceed the upper limit, and finally, generating a health report according to the time preset by the user and distributing the health report to the user and the guardian of the user.
7. The implementation method of the medical diagnosis system based on the technology of the internet of things as claimed in claim 5, wherein: professional mode: when the system starts to operate, the control center can start to detect through set parameters, data are stored in the behavior detection module, the monitoring module can receive feedback of the subsystems in real time, specific parameters of body health of a user are issued to each relevant detection device, the devices are allowed to carry out some judgments automatically, meanwhile, the specific parameters are fed back to the main management device periodically, when the system detects that the body of an observation object is abnormal, an alarm is rapidly sent to a main doctor, relevant departments are informed to make a future diagnosis and treatment, and relevant medical resources are prepared for patients.
8. The implementation method of the medical diagnosis system based on the technology of the internet of things as claimed in claim 5, wherein: the data processing flow comprises the following steps: after the behaviors of the user are monitored, firstly, the behaviors are compared with the database, whether the behaviors are coincident with the existing illegal behaviors or not is judged, if the behaviors are coincident, an alarm is given, and if the behaviors are not coincident, the behaviors are recorded, if the user is ill after a long time, whether the behaviors are related to the behaviors or not is judged, if the behaviors are related, the database harmful to the body is added, and if the behaviors are not related, the database harmful to the body is added.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116473526A (en) * | 2023-06-25 | 2023-07-25 | 湖南尚医康医疗科技有限公司 | Medical information acquisition method and system based on artificial intelligence and Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116473526A (en) * | 2023-06-25 | 2023-07-25 | 湖南尚医康医疗科技有限公司 | Medical information acquisition method and system based on artificial intelligence and Internet of things |
| CN116473526B (en) * | 2023-06-25 | 2023-09-29 | 湖南尚医康医疗科技有限公司 | Medical information acquisition method and system based on artificial intelligence and Internet of things |
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