CN111739630A - Remote medical intelligent monitoring method for human health - Google Patents
Remote medical intelligent monitoring method for human health Download PDFInfo
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- CN111739630A CN111739630A CN202010481404.2A CN202010481404A CN111739630A CN 111739630 A CN111739630 A CN 111739630A CN 202010481404 A CN202010481404 A CN 202010481404A CN 111739630 A CN111739630 A CN 111739630A
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
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- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
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- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0277—Communication between units on a local network, e.g. Bluetooth, piconet, zigbee, Wireless Personal Area Networks [WPAN]
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/028—Communication between parent and child units via remote transmission means, e.g. satellite network
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/016—Personal emergency signalling and security systems
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- 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
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Abstract
A remote medical intelligent monitoring and alarming method for human health can remotely monitor the health of sub-health and disease people and realize intelligent monitoring and alarming, and comprises the following steps: a user wears a wearable human health monitoring device provided with a key emergency alarm button, inputs user registration information and uploads the information to a network big data server by using an Internet of things communication network; the wearable human health monitoring equipment generates a human health parameter information packet according to a set time interval and transmits the human health parameter information packet to the network big data server; the network big data server analyzes according to different information types, generates a time-information data curve and judges whether the analyzed information exceeds a standard value numerical range; if the alarm information exceeds the preset alarm information, the monitoring terminal sends alarm information to the human health monitoring wearable equipment and the monitoring terminal, and the monitoring terminal determines whether to carry out instant communication with the user; the user urgently presses a key emergency alarm button to send an emergency alarm to the monitoring terminal.
Description
Technical Field
The invention relates to the field of remote monitoring and alarming for human health, in particular to a remote medical intelligent monitoring method for human health.
Background
Along with wearing type electronic product appearance of monitoring human health, can detect some healthy sign indexes of human body in real time, like intelligent wrist-watch monitoring heart rate change, sleep quality, wrist sphygmomanometer monitoring blood pressure, however, this type of electronic product is after gathering sign data, can not convey to diagnosing and treating the center in real time, but with the sign data cache of gathering in wearing type electronic product, supply the person of wearing to look over, can't realize remote monitoring.
CN201620272584.2 proposes a remote detection system for human health sign indicators. The physical sign indexes of the human body can be detected in real time and transmitted to the remote server in time, so that the human body can be effectively monitored in time. The system comprises a human body sign data acquisition device, a mobile terminal and a remote server; the human body sign data acquisition device acquires sign information of a human body, converts the sign information into sign data and transmits the sign data to the mobile terminal; the mobile terminal establishes a wireless communication link with a remote server and sends the received physical sign data to the remote server; the mobile terminal is provided with a satellite positioning module, and the satellite positioning module acquires the geographic position information of the detected human body and sends the geographic position information to the remote server; the remote server is internally provided with a GIS map positioning module and a calling device, the GIS map positioning module searches medical rescue mechanisms near the geographic position according to the received geographic position information, and starts the calling device to send emergency help-seeking signals to the medical rescue mechanisms. One or more of a blood pressure sensor, a heart rate sensor, a pulse condition sensor, a blood sugar detection probe, a body temperature sensor and a body posture sensor are arranged in the human body sign data acquisition device, human body sign data acquired by the human body sign data acquisition device are firstly transmitted to a mobile terminal near a measured person based on the internet of things technology, and then the human body sign data are transmitted to a remote server through the mobile terminal, so that the real-time performance of sign detection is realized. Meanwhile, the remote server can automatically control the mobile terminal to position the detected person, and search a medical rescue mechanism near the detected person according to the geographical position fed back by the mobile terminal, so that the medical rescue mechanism can conveniently and timely rescue the patient.
The remote detection system monitors the human health data through the remote server, and once the remote detection system finds that the human health data are abnormally called to nearby medical institutions through the calling device, because medical resources in China are deficient and medical resources in regions are extremely unbalanced, hospitals are difficult to timely rescue or guide people with abnormal health data, the remote detection system is difficult to popularize and has poor practicability; medical rescue institutions about to find the geographical position cannot reasonably utilize hospital medical resources, cannot effectively monitor the health of sub-health and disease people, and is not high in diagnosis accuracy.
Disclosure of Invention
The invention aims to solve the problems in the prior art, comprehensively utilizes the communication technology of the Internet of things, provides the remote medical intelligent monitoring method for human health, can reasonably utilize hospital medical resources, remotely monitors the health of sub-health and disease people, realizes intelligent monitoring and alarming, and provides an analysis basis for accurate diagnosis and instant analysis of users.
The invention relates to a remote medical intelligent monitoring method for human health, which is characterized in that: the method comprises the following steps:
step 1, a user wears a wearable human health monitoring device with a wireless communication function or a Bluetooth function, wherein a key emergency alarm button is arranged on the wearable human health monitoring device, user registration information including user name, age, surname, medical history and password is input by app, and the user registration information is uploaded to a network big data server by an Internet of things communication network;
step 2, the human health monitoring wearable equipment worn by the user monitors human health indexes according to a set time interval and generates human health parameter information packets, wherein the human health parameter information packet of each user corresponds to an ID;
step 3, a user logs in and accesses the network big data server, and transmits the human health parameter information packet and the corresponding ID to the network big data server;
step 4, the network big data server judges whether the user health information is obtained or not, and if the judgment result is yes, the step 4.2 is executed; if the judgment result is not yes, executing the step 4.1;
step 4.1, searching the human health parameter information packet and the corresponding ID, and then executing step 4.2;
step 4.2, the network big data server receives the human health parameter information packet and the corresponding ID;
step 4.3, the network big data server analyzes the received human health information packet according to different information types, generates a time-information data curve, communicates with the monitoring terminal every 15-30 minutes by taking the network big data server as a starting point, transmits the analyzed information and the time-information data curve to the monitoring terminal, and judges whether the analyzed information exceeds the numerical range of the human health standard value or not by the network big data server;
4.4 if the analyzed information exceeds the range of the standard value, the network big data server simultaneously sends out alarm information to the human health monitoring wearable equipment and the monitoring terminal worn by the user, and simultaneously reminds the user and the monitoring terminal, and the monitoring terminal determines whether the corresponding medical professional and the user carry out instant communication according to the alarm information;
and 4.5, the user urgently presses a key emergency alarm button under the condition of observing or sensing that the human health indexes are not good, emergency alarm is sent to the monitoring terminal through the network big data server, and medical professionals in front of the monitoring terminal determine whether to carry out instant communication with the user for medical diagnosis or guide the user to go to a hospital for diagnosis or assign rescuers for on-site treatment according to the human health indexes of the user at the moment.
Further, the wearable human health monitoring device with the wireless communication function in the step 1 communicates with a network big data server through a wireless access point.
Further, the wearable human health monitoring device with the Bluetooth function in the step 1 is in Bluetooth connection with a user mobile phone and communicates with a network big data server through the user mobile phone.
Further, the time interval set in step 2 is 5 to 15 minutes.
Further, the monitoring terminal in step 4.3 is a computer or a monitoring mobile phone, and an application program corresponding to the app in step 1 is downloaded from the computer or the monitoring mobile phone, so that remote sharing and remote medical treatment of information are realized.
Further, the wearable device for human health monitoring in the step 1 is a blood pressure, blood oxygen, heart rate and electrocardiogram bracelet.
Further, the wearable device for human health monitoring in the step 1 further comprises a body temperature bracelet or a body temperature arm ring.
Further, step 4.4 the instant messaging is that the user wears the wearable human health monitoring device to perform voice or video communication with the monitoring terminal.
Further, the monitoring terminal in step 4.3 has a printing function, and can print out a relevant data curve image in real time, so as to provide an analysis basis for accurate diagnosis of a user.
Further, in step 4.4, alarm information is sent out in a sound and/or light mode on the human health monitoring wearable device and the monitoring terminal.
According to the remote medical intelligent monitoring method for human health, the system sends alarm information to the monitoring terminal according to the relevant data through the comparative analysis of the big data, supports the remote application of various terminals such as a mobile phone, a computer or a camera and has the functions of one-key alarm and remote diagnosis and treatment. Therefore, common diseases of the inexhaustible family can be treated, the serious diseases can be timely notified to the user to go to the hospital for treatment, the shortage of medical resources of a large hospital is solved, the medical pressure of the whole society is relieved, the medical resources can be utilized in a balanced manner, the economic burden of sub-health and disease crowds is also solved, and the guarantee is provided for the life health of the crowd.
Drawings
FIG. 1 is a system architecture diagram of embodiment 1 of the present invention;
FIG. 2 is a system architecture diagram of embodiment 2 of the present invention;
fig. 3 is a system architecture diagram of embodiment 3 of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
Example 1
As shown in FIG. 1, the remote medical intelligent monitoring method for human health related to the invention comprises the following steps:
step 1, a user wears wearable human health monitoring equipment with a wireless communication function, wherein the wearable human health monitoring equipment is wrist wearable equipment and integrates functions of detecting blood pressure, blood oxygen, heart rate, electrocardio and body temperature. Set up a healthy emergency alarm button on the wearable equipment of health monitoring, the wearable equipment of health monitoring utilizes thing networking communication network and the big data server communication of network through wireless Access Point (AP) to utilize app input user registration information, including user name, age, surname class, medical history, password.
And step two, the human health monitoring wearable equipment worn by the user monitors human health indexes every 5 minutes and generates human health parameter information packets, wherein the human health parameter information packet of each user corresponds to one ID.
And step three, the user logs in and accesses the network big data server, and transmits the human health parameter information packet and the corresponding ID to the network big data server.
Step four, the network big data server judges whether the user health information is obtained or not, and if the judgment result is that the user health information is obtained, the step 4.2 is executed; if the judgment result is not yes, executing the step 4.1;
step 4.1, searching the human health parameter information packet and the corresponding ID, and then executing step 4.2;
step 4.2, the network big data server receives the human health parameter information packet and the corresponding ID;
step 4.3, the network big data server analyzes the received human health information packet according to different information types and generates a time-information data curve, wherein the information types refer to blood pressure, blood oxygen, heart rate, electrocardio and body temperature; the network big data server is used as a starting point, the network big data server communicates with the monitoring terminal every 15 minutes, analyzed information and a time-information data curve are transmitted to the monitoring terminal, and meanwhile, the network big data server judges whether the analyzed information exceeds the numerical range of the human health standard value; the monitoring terminal is a computer or a monitoring mobile phone, and an application program corresponding to the app in the step 1 is downloaded on the monitoring terminal to realize remote information sharing and remote medical treatment; the monitoring terminal has a printing function, can print out a relevant data curve image in real time and provides an analysis basis for accurate diagnosis of a user;
and 4.4, if the analyzed information exceeds the range of the standard value, the network big data server simultaneously sends out alarm information to the human health monitoring wearable equipment and the monitoring terminal which are worn by the user, the human health monitoring wearable equipment and the monitoring terminal simultaneously remind the user and the monitoring terminal in a sound and/or light mode, and the monitoring terminal determines whether the corresponding medical professional and the user carry out instant communication according to the alarm information. The instant messaging is that the human health monitoring wearable device worn by the user performs voice call or video call with the monitoring terminal (between the user and a medical professional in front of the monitoring terminal); when carrying out video conversation, require that human health monitoring wearable equipment has the camera.
And 4.5, the user urgently presses a key emergency alarm button under the condition of observing or sensing that the human health indexes are not good, emergency alarm is sent to the monitoring terminal through the network big data server, and medical professionals in front of the monitoring terminal determine whether to carry out instant communication with the user for medical diagnosis or guide the user to go to a hospital for diagnosis or assign rescuers for on-site treatment according to the human health indexes of the user at the moment.
Example 2
As shown in fig. 2, in the remote medical intelligent monitoring method for human health related to the present invention, in step 1, the wearable device for human health monitoring does not have a wireless communication function but only has a bluetooth function, and performs bluetooth connection with the user's mobile phone by using the wearable device for human health monitoring, and the user's mobile phone is used as a wireless access point to input user registration information (including a user's mobile phone number) on the user's mobile phone by using app, and uploads the user registration information to the network big data server, and performs communication with the network big data server through the user's mobile phone; the instant messaging in step 4 is performed between the monitoring terminal and the user mobile phone, if the monitoring terminal is the monitoring mobile phone, the monitoring mobile phone directly communicates with the user mobile phone in real time, and the rest is the same as the embodiment 1.
Example 3
As shown in fig. 3, the remote medical intelligent monitoring method for human health according to the present invention comprises the following steps:
step one, the user wears the wearable equipment of health monitoring who has bluetooth function, the wearable equipment of health monitoring that the user wore is two and two wearable equipment of health monitoring, one of them wearable equipment of health monitoring has the rhythm of the heart, the electrocardio, blood pressure and blood oxygen detect the function, adopt dido Y2 electrocardio blood pressure blood oxygen bracelet, another wearable equipment of health monitoring adopts the body temperature bracelet, carry out the bluetooth with the user's cell-phone and be connected, the user's cell-phone is as wireless access point, utilize and carry out the communication between thing networking communication network and the big data server of network. Arranging a key emergency alarm button on one of the wearable human health monitoring devices, inputting user registration information including user name, age, surname, medical history, mobile phone number and password by using app, and uploading the user registration information to a network big data server by using an internet of things communication network;
step two, detecting corresponding human health indexes every 10 minutes by the human health monitoring wearable equipment worn by the user and generating human health parameter information packets, wherein the human health parameter information packet of each user corresponds to an ID;
step three, a user logs in and accesses a network big data server, and transmits a human health parameter information packet and a corresponding ID to the network big data server;
step four, the network big data server judges whether the user health information is obtained or not, and if the judgment result is that the user health information is obtained, the step 4.2 is executed; if the judgment result is not yes, executing the step 4.1;
step 4.1, searching the human health parameter information packet and the corresponding ID, and then executing step 4.2;
step 4.2, the network big data server receives the human health parameter information packet and the corresponding ID;
step 4.3, the network big data server analyzes the human health information packet received in real time according to different information types and generates a time-information data curve, wherein the information types refer to blood pressure, blood oxygen, heart rate, electrocardio and body temperature; the network big data server is used as a starting point, the network big data server communicates with the monitoring terminal every 30 minutes, analyzed information and a time-information data curve are transmitted to the monitoring terminal, and meanwhile, the network big data server judges whether the analyzed information exceeds the numerical range of the human health standard value; the monitoring terminal is a computer or a monitoring mobile phone, and an application program corresponding to the app in the step 1 is downloaded on the computer or the monitoring mobile phone to realize remote sharing and remote medical treatment of information; the monitoring terminal has a printing function, can print out a relevant data curve image in real time and provides an analysis basis for accurate diagnosis of a user;
4.4 if the analyzed information exceeds the range of the standard value, the network big data server simultaneously sends out alarm information to the human health monitoring wearable equipment and the monitoring terminal which are worn by the user, the human health monitoring wearable equipment and the monitoring terminal simultaneously remind the user and the monitoring terminal in a sound and/or light mode, and the monitoring terminal determines whether the corresponding medical professional and the user carry out instant communication according to the alarm information; the instant communication is that the user mobile phone carries out voice communication or video communication with the monitoring terminal;
and 4.5, the user urgently presses a key emergency alarm button under the condition of observing or sensing that the human health indexes are not good, emergency alarm is sent to the monitoring terminal through the network big data server, and medical professionals in front of the monitoring terminal determine whether to carry out instant communication with the user for medical diagnosis or guide the user to go to a hospital for diagnosis or assign rescuers for on-site treatment according to the human health indexes of the user at the moment.
The built-in GIS map positioning module of the wearable device for monitoring human health in the above embodiments 1 and 2 can send the location information to the network big data server, so that the network big data can master the location information of the user at any time, and send the location information of the user to the monitoring terminal, so as to determine the location of the user.
The above description is only exemplary of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by 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 (10)
1. The remote medical intelligent monitoring and alarming method for human health is characterized in that: the method comprises the following steps:
step 1, a user wears a wearable human health monitoring device with a wireless communication function or a Bluetooth function, wherein a key emergency alarm button is arranged on the wearable human health monitoring device, user registration information including user name, age, surname, medical history and password is input by app, and the user registration information is uploaded to a network big data server by an Internet of things communication network;
step 2, the human health monitoring wearable equipment worn by the user detects human health indexes according to a set time interval and generates human health parameter information packets, and each human health parameter information packet of the user corresponds to an ID;
step 3, a user logs in and accesses the network big data server, and transmits the human health parameter information packet and the corresponding ID to the network big data server;
step 4, the network big data server judges whether the user health information is obtained or not, and if the judgment result is yes, the step 4.2 is executed; if the judgment result is not yes, executing the step 4.1;
step 4.1, searching the human health parameter information packet and the corresponding ID, and then executing step 4.2;
step 4.2, the network big data server receives the human health parameter information packet and the corresponding ID;
step 4.3, the network big data server analyzes the received human health information packet according to different information types, generates a time-information data curve, communicates with the monitoring terminal every 15-30 minutes by taking the network big data server as a starting point, transmits the analyzed information and the time-information data curve to the monitoring terminal, and judges whether the analyzed information exceeds the numerical range of the human health standard value or not by the network big data server;
4.4 if the analyzed information exceeds the range of the standard value, the network big data server simultaneously sends out alarm information to the human health monitoring wearable equipment and the monitoring terminal worn by the user, and simultaneously reminds the user and the monitoring terminal, and the monitoring terminal determines whether the corresponding medical professional and the user carry out instant communication according to the alarm information;
and 4.5, the user urgently presses a key emergency alarm button under the condition of observing or sensing that the human health indexes are not good, emergency alarm is sent to the monitoring terminal through the network big data server, and medical professionals in front of the monitoring terminal determine whether to carry out instant communication with the user for medical diagnosis or guide the user to go to a hospital for diagnosis or assign rescuers for on-site treatment according to the human health indexes of the user at the moment.
2. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: the wearable human health monitoring equipment with the wireless communication function in the step 1 communicates with a network big data server through a wireless access point.
3. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: and in the step 1, the wearable human health monitoring equipment with the Bluetooth function is in Bluetooth connection with a user mobile phone and is communicated with a network big data server through the user mobile phone.
4. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: the time interval set in step 2 is 5-15 minutes.
5. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: and 4.3, the monitoring terminal refers to a computer or a monitoring mobile phone, and an application program corresponding to the app in the step 1 is downloaded on the computer or the monitoring mobile phone to realize remote information sharing and remote medical treatment.
6. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: in the step 1, the wearable equipment for human health monitoring adopts blood pressure, blood oxygen, heart rate and an electrocardio bracelet.
7. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: the wearable device for human health monitoring in the step 1 further adopts a body temperature bracelet or a body temperature arm ring.
8. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: and 4.4, the instant messaging is that the user wears the human health monitoring wearable device to carry out voice call or video call with the monitoring terminal.
9. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: and 4.3, the monitoring terminal has a printing function, can print out related data curve images in real time, and provides analysis basis for accurate diagnosis of the user.
10. The human health remote medical intelligent monitoring and alarming method as claimed in claim 1, which is characterized in that: in step 4.4, the alarm information refers to sounds and/or lights emitted from the human health monitoring wearable device and the monitoring terminal.
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