CN110664394A - Real-time electrocardiogram monitoring system and monitoring method - Google Patents
Real-time electrocardiogram monitoring system and monitoring method Download PDFInfo
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Abstract
The invention provides a real-time electrocardiogram monitoring system and a monitoring method, which comprise a Bluetooth patch type dynamic electrocardiogram recorder, a mobile phone terminal and a server, wherein the Bluetooth patch type dynamic electrocardiogram recorder and the mobile phone terminal realize data transmission through Bluetooth, the mobile phone terminal calls a service to the server, and the server is connected with an electrocardiogram analyzer. The invention provides a method for monitoring electrocardio by adopting a Bluetooth patch type dynamic electrocardiogram recorder, which can not only check real-time electrocardiogram or issue a short-time report at a mobile phone end through Bluetooth transmission, but also monitor long-range dynamic electrocardiogram. The equipment has good signal acquisition, rapid and accurate artificial intelligent electrocardio analysis and convenient and simple use process, and is beneficial to the abnormal screening and self-monitoring of the electrocardio of the public.
Description
Technical Field
The invention relates to the technical field of electrocardiogram monitoring, in particular to a real-time electrocardiogram monitoring system and a monitoring method.
Background
Electrocardiographic examination is an important means for finding cardiovascular and cerebrovascular diseases, and comprises static electrocardiograms and dynamic electrocardiograms. Static electrocardiograms are generally recorded when a patient lies down, and are generally recorded for tens of seconds to minutes, and dynamic electrocardiograms are generally continuously recorded for more than 24 hours, wherein the two ways are electrocardio monitoring methods widely used in hospitals at present.
The two methods have advantages and disadvantages, the static electrocardiogram is helpful for checking whether myocardial ischemia exists in a period of time, the electrocardiogram result can be seen in time in a short time, the timeliness is strong, but the method is not beneficial to finding abnormal heart rhythm at certain time in daily activities, and the abnormality cannot be found in time due to short time. The dynamic electrocardiogram adopts a continuous monitoring mode, so that the screening time limit is enlarged, and the detection rate of abnormal heart rhythm can be increased indeed. Therefore, an electrocardio monitoring method capable of knowing the electrocardio condition in abnormal condition in real time is lacked in the market so as to help patients to know the heart condition better.
Disclosure of Invention
In view of the above, the present invention provides a real-time electrocardiographic monitoring system capable of transmitting electrocardiographic signals to a mobile phone terminal via bluetooth, in order to solve the problem that the conventional electrocardiographic recorder is difficult to transmit electrocardiographic signals synchronously, and further provides a real-time electrocardiographic monitoring method capable of monitoring electrocardiographic signals in real time and facilitating a user to select a short-time electrocardiographic real-time analysis mode and an electrocardiographic long-time analysis mode according to actual needs, in order to solve the problem that abnormal heart rhythms at certain moments in daily activities are not easy to find.
In order to solve the technical problems, the invention adopts the technical scheme that: the utility model provides a real-time electrocardio monitoring system, includes SMD developments electrocardio record appearance of bluetooth, cell-phone end and server, SMD developments electrocardio record appearance of bluetooth with the data transmission is realized through the bluetooth to the cell-phone end, the cell-phone end to the service is called to the server, the server is connected with the electrocardio analysis appearance.
In the present invention, preferably, the server includes an analysis service unit, the analysis service unit includes a user registration service, a system monitoring service, and an electrocardiographic report service, the user registration service is used to provide a registration service for the user, the system monitoring service is used to perform internal monitoring on the operation condition of the entire server, and the electrocardiographic report service is used to provide a function of analyzing and reporting electrocardiographic of the user.
In the present invention, preferably, the server further includes a server background center, and the server background center is built by using a SpringCloud architecture and is set as a plurality of service registration centers registered with each other.
In the present invention, preferably, a load balancing module is further disposed between the server and the mobile phone terminal, and the load balancing module is set as an RPC load balancing module to relieve the data processing pressure of the server and ensure the smoothness of the network service.
In the invention, preferably, the bluetooth patch type dynamic electrocardiograph recorder comprises a signal processing module, a signal conversion module, an MCU, a power management module, a storage module and a bluetooth module, the signal processing module is electrically connected with the signal conversion module, the signal conversion module is electrically connected with the MCU, the power management module, the storage module, the Bluetooth module and the MCU module are all electrically connected, the signal processing module is used for collecting electrocardiosignals of a user and carrying out a signal filtering process, the electrocardiosignals are firstly converted by the signal conversion module and then transmitted to the MCU for data analysis and operation, the storage module stores the analyzed data, the MCU realizes data intercommunication with the mobile phone terminal through the Bluetooth module, and the power management module is used for providing electric energy for the MCU.
In the present invention, preferably, the electrocardiograph is an AI-ECG electrocardiograph.
A real-time electrocardiogram monitoring method, the method comprising:
step S1) the user wears the Bluetooth patch type dynamic electrocardiogram recorder to acquire the electrocardiogram information;
step S2), connecting the mobile phone end application with a Bluetooth patch type dynamic electrocardiogram recorder through Bluetooth;
step S3), the mobile phone end receives the electrocardiogram data in real time through the mobile phone APP and displays the electrocardiogram;
step S4) the user selects whether to give a short-time report by clicking the operation interface of the mobile phone end, the mobile phone end enters an electrocardio analysis mode, and the user selects a short-time electrocardio real-time analysis mode or/and an electrocardio long-time analysis mode by clicking the operation interface of the mobile phone end.
In the present invention, preferably, the short-time electrocardiographic real-time analysis mode includes the following steps:
step T1) the short-time electrocardio data is uploaded to a server by the mobile phone end;
step T2) the server calls AI-ECG to carry out electrocardio analysis and obtains the analysis result;
step T3), the server returns the analysis result to the mobile phone end;
step T4) the user checks the report through the mobile phone APP at the mobile phone end.
In the present invention, preferably, the cardiac long-term analysis mode includes the following steps:
step R1) stopping the acquisition of electrocardiosignals by the Bluetooth patch type dynamic electrocardiograph recorder and transmitting data to the mobile phone by Bluetooth;
step R2) the mobile phone end uploads the complete electrocardiogram data to the server;
step R3) the server calls AI-ECG to carry out electrocardio analysis and obtains an analysis result;
step R4), the server returns the analysis result to the mobile phone end;
step R5) the user checks the report through the mobile phone APP at the mobile phone end.
In the invention, preferably, the electrocardiogram analysis adopts an AI-ECG automatic electrocardiogram analysis algorithm, and the electrocardiogram waveform is subjected to feature recognition, interference recognition and heartbeat classification through an artificial intelligent convolutional neural network model.
The invention has the advantages and positive effects that: according to the real-time electrocardiogram monitoring system based on the Bluetooth patch type dynamic electrocardiogram recorder, on one hand, compared with a common electrocardiogram signal acquisition circuit, a Bluetooth module is added, the function of synchronous data transmission through Bluetooth during electrocardiogram signal acquisition is realized, real-time electrocardiogram is checked or a short-time report is issued at a mobile phone terminal through Bluetooth transmission, on the other hand, an AI-ECG electrocardiogram analyzer is matched with a mobile phone terminal and a server to immediately produce an electrocardiogram report, the accuracy is high, the analysis is quick, the waiting time of a user is saved, and the monitoring is more timely. In addition, the user can select a short-time electrocardio real-time analysis mode or an electrocardio long-time analysis mode according to actual needs, the electrocardiosignals are monitored in real time or in real time, the equipment acquires good signals, the artificial intelligence electrocardio analysis is rapid and accurate, the use process is convenient and simple, and the method is beneficial to the public to carry out abnormal screening and self-monitoring of the electrocardio.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a structural framework diagram of a real-time ECG monitoring system of the present invention;
FIG. 2 is a block diagram of a Bluetooth patch type dynamic electrocardiograph of a real-time electrocardiographic monitoring system according to the present invention;
FIG. 3 is a flow chart of a short-term ECG real-time analysis mode of a real-time ECG monitoring method of the present invention;
fig. 4 is a flowchart of an electrocardiograph long-time analysis mode of the real-time electrocardiograph monitoring method according to the present invention.
Detailed Description
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.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1 to 4, the invention provides a real-time electrocardiographic monitoring system and a monitoring method, which comprises a patch-type dynamic bluetooth electrocardiograph recorder, a mobile phone terminal and a server, wherein the patch-type dynamic bluetooth electrocardiograph recorder and the mobile phone terminal realize data transmission through bluetooth, the mobile phone terminal calls a service to the server, and the server is connected with an electrocardiograph. During the use, the user gathers its electrocardio data through wearing SMD developments electrocardio record appearance of bluetooth, SMD developments electrocardio record appearance of bluetooth and cell-phone end pair through the bluetooth and connect, the electrocardio data that will gather later transmits the cell-phone App to the cell-phone end, the cell-phone end is uploaded electrocardio data synchronization to the server, invoke analytical service according to user's demand, make the electrocardio analyzer who is connected with the server begin electrocardio analysis work, the electrocardio analyzer immediately generates the electrocardio report, the user looks over or downloads the electrocardio report through the cell-phone APP of cell-phone end, the rate of accuracy is high, the analysis is quick, the time that the user waited for has been saved, also make the monitoring more timely.
In this embodiment, the server further includes an analysis service unit, the analysis service unit includes a user registration service, a system monitoring service, and an electrocardiographic reporting service, the user registration service is used to provide a registration service for the user, the system monitoring service is used to perform internal monitoring on the operation condition of the entire server, and the electrocardiographic reporting service is used to provide a function of analyzing and reporting electrocardiographic of the user. When the portable electrocardio data recorder is used, a user collects electrocardio data of the user by using the Bluetooth patch type dynamic electrocardio data recorder, then the collected electrocardio data is transmitted to a mobile phone end through the mobile phone App Bluetooth, and analysis service is called according to user requirements. The analysis service provides a micro service for the background server, and a series of micro services including user registration service, system monitoring and electrocardio report service are operated on the server. Specifically, the user registration service is responsible for providing registration and registration services for App users, which are operations required before the users use the server, the system monitoring is responsible for internally monitoring the running condition of the whole server to ensure that the server works normally, and the electrocardio reporting service is responsible for providing electrocardio analysis and report issuing functions for the users.
In this embodiment, the server further includes a server background center, and the server background center is built by using a SpringCloud architecture and is set as a plurality of service registration centers registered with each other. This is because the critical service such as the service registry is destructive if it is a single point, and for the user distributed system such as the electrocardiographic real-time monitoring, the service registry is the most important basic part and needs to be in a state of providing service at any time. To maintain its availability, using clusters is the preferred solution. The high-availability deployment is realized by the way that the Eureka registers with each other, so that the high-availability effect can be realized by only configuring the Eureke Server with other available serviceUrl. In production, three registries may be needed to ensure the stability of service, and each registry points to other registries, and each registry points to other two nodes, and the registry is configured by application.
In this embodiment, further, a load balancing module is further arranged between the server and the mobile phone terminal, and the load balancing module is set as an RPC load balancing module to relieve the data processing pressure of the server and ensure the smoothness of the network service. This is because the processing capacity of a single server is limited by the cost of hardware and cannot improve processing performance indefinitely. When the user calls the electrocardio report service, starting to call the AI-ECG electrocardio analysis service on another server, and after the analysis result is returned, sorting and returning the analysis result to the mobile phone terminal. When the number of users increases, in order to ensure the smoothness of network service and relieve the pressure of data processing, an RPC load balancing module is arranged to coordinate the calling of a plurality of users. The RPC load balancing module comprises a client and a server, namely a service caller and a provider, wherein the service caller sends an RPC request to the service provider, the service provider executes a request method according to parameters provided by the caller, and returns an execution result to the caller, and RPC calling is completed once. The RPC load balancing module is used for converting the original local call into the remote server, so that the processing capacity and the throughput of the system are improved.
In this embodiment, the bluetooth patch-type dynamic electrocardiograph recorder further includes a signal processing module, a signal conversion module, an MCU, a power management module, a storage module and a bluetooth module, wherein the signal processing module is electrically connected to the signal conversion module, the signal conversion module is electrically connected to the MCU, the power management module, the storage module, the bluetooth module and the MCU module are all electrically connected, the signal processing module is configured to collect an electrocardiographic signal of a user and perform a signal filtering process, the electrocardiographic signal is converted by the signal conversion module and then transmitted to the MCU for data analysis and operation, the analyzed data is stored by the storage module, the MCU realizes data intercommunication with the mobile phone terminal through the bluetooth module, and the power management module is configured to provide power for the MCU, in particular, a polymer lithium battery which can be charged is adopted. The signal processing module carries out filtering and denoising process on the collected electrocardiosignals of the user, the electrocardiosignals of the user are collected through the electrocardioelectrode, the electrocardioelectrode is electrically connected with the signal processing module, the processed electrocardiosignals are transmitted to the MCU through the signal conversion module to carry out data identification and then are connected with the mobile phone end through the Bluetooth module, the electrocardiosignals are synchronously uploaded to the server, monitoring and judgment are facilitated, and therefore more reliable guarantee is provided for the health of the user. Compared with a common electrocardiosignal acquisition circuit, the Bluetooth module is added, and the function of synchronous data transmission through Bluetooth during electrocardiosignal acquisition is realized.
In this embodiment, further, the electrocardiograph analyzer is an AI-ECG electrocardiograph analyzer, and the electrocardiograph report can be instantly produced by matching with the mobile phone terminal and the server, so that the accuracy is high, the analysis is fast, the waiting time of the user is saved, and the monitoring is more timely.
A real-time electrocardiogram monitoring method, the method comprising:
step S1) the user wears the Bluetooth patch type dynamic electrocardiogram recorder to acquire the electrocardiogram information;
step S2), connecting the mobile phone end application with a Bluetooth patch type dynamic electrocardiogram recorder through Bluetooth;
step S3), the mobile phone end receives the electrocardiogram data in real time through the mobile phone APP and displays the electrocardiogram;
step S4) the user selects whether to give a short-time report by clicking the operation interface of the mobile phone end, the mobile phone end enters an electrocardio analysis mode, and the user selects a short-time electrocardio real-time analysis mode or/and an electrocardio long-time analysis mode by clicking the operation interface of the mobile phone end.
In this embodiment, further, the short-time electrocardiographic real-time analysis mode includes the following steps:
step T1) the short-time electrocardio data is uploaded to a server by the mobile phone end;
step T2) the server calls AI-ECG to carry out electrocardio analysis and obtains the analysis result;
step T3), the server returns the analysis result to the mobile phone end;
step T4) the user checks the report through the mobile phone APP at the mobile phone end.
In this embodiment, the cardiac long-term analysis mode further includes the following steps:
step R1) stopping the acquisition of electrocardiosignals by the Bluetooth patch type dynamic electrocardiograph recorder and transmitting data to the mobile phone by Bluetooth;
step R2) the mobile phone end uploads the complete electrocardiogram data to the server;
step R3) the server calls AI-ECG to carry out electrocardio analysis and obtains an analysis result;
step R4), the server returns the analysis result to the mobile phone end;
step R5) the user checks the report through the mobile phone APP at the mobile phone end.
In this embodiment, further, the electrocardiographic analysis uses an AI-ECG electrocardiographic automatic analysis algorithm, the algorithm is implemented by using an artificial intelligent convolutional neural network model, and the characteristics identification, the interference identification and the heart beat classification of the electrocardiographic waveform are all based on an artificial intelligent self-learning model to obtain an output result, so that the analysis speed is high, and the accuracy is high. Arrhythmia analysis, long intermittent asystole, flutter and shake, conduction block, premature beat and escape, bradycardia, tachycardia, ST segment change detection, and analysis and classification of electrocardio events are carried out on the collected signals.
The working principle and the working process of the invention are as follows: when the portable electrocardio data recorder is used, a user collects electrocardio data of the user by using the Bluetooth patch type dynamic electrocardio data recorder, then the collected electrocardio data is transmitted to a mobile phone end through the mobile phone App Bluetooth, and analysis service is called according to user requirements. The analysis service provides a micro service for the background server, and a series of micro services including user registration service, system monitoring and electrocardio report service are operated on the server. Specifically, the user registration service is responsible for providing registration and registration services for App users, which are operations required before the users use the server, the system monitoring is responsible for internally monitoring the running condition of the whole server to ensure that the server works normally, and the electrocardio reporting service is responsible for providing electrocardio analysis and report issuing functions for the users.
Referring to the attached drawing 2, firstly, a user pastes the Bluetooth patch type dynamic electrocardiogram recorder to the front of the left chest, starts the device after wearing, collects electrocardiosignals of the user, then opens an application program of a mobile phone end, opens Bluetooth and connects the mobile phone end and the Bluetooth patch type dynamic electrocardiogram recorder in a pairing way. After the connection is successful, the Bluetooth patch type dynamic electrocardiogram recorder can transmit the acquired electrocardiogram data to the mobile phone end in real time, the mobile phone App interface displays a real-time electrocardiogram, and a user can see a oscillogram and current heart rate information. And displaying the heart rate as the average estimation of the heart rate of a period of time before the current time point, and realizing the heart rate detection by adopting a qrs wave identification algorithm and a heart rate calculation formula. The qrs wave detection is a detection method based on a slope threshold, and waveform identification and r wave determination are performed by calculating the slope of each point value and setting a fixed threshold. The formula for calculating heart rate is: heart rate (bpm) is 60/rr interval(s). The user selects whether to give a short-time report or not by clicking the operation interface of the mobile phone end, the mobile phone end enters the electrocardiogram analysis mode, and the user selects the short-time electrocardiogram real-time analysis mode by clicking the operation interface of the mobile phone end to analyze a section of electrocardiogram in a short time. Real-time analysis provides several analyses for different lengths of time: 5 minutes, 10 minutes and 15 minutes, after the analysis time length is determined, the mobile phone end uploads short-time electrocardio data to the server, AI-ECG electrocardio analysis service is called by the server to complete electrocardio analysis, the server returns the analysis result to a mobile phone App at the mobile phone end, and finally the user checks the report through the mobile phone App.
The process of the long-term ECG analysis mode can be seen in figure 3, a user wears a Bluetooth patch type dynamic ECG recorder to collect ECG information, the battery of the Bluetooth patch type dynamic ECG recorder adopts a rechargeable polymer lithium battery, the Bluetooth patch type dynamic ECG recorder can be worn for enough time according to the personal requirements of the user, after the wearing is finished, the user opens an application program at a mobile phone end, the Bluetooth is opened to carry out pairing connection between the mobile phone end and the Bluetooth patch type dynamic ECG recorder, after the connection is successful, a mobile phone App enters the long-term ECG analysis mode, the user selects the long-term ECG analysis mode by clicking an operation interface at the mobile phone end, after the Bluetooth patch type dynamic ECG recorder receives an instruction of the long-term ECG analysis mode, the Bluetooth patch type dynamic ECG recorder stops ECG signal collection and transmits all data to the mobile phone end through the Bluetooth, if the wearing time of the user exceeds 24 hours, the Bluetooth patch type dynamic electrocardiogram recorder system acquires electrocardiosignals 25 hours after wearing by default, the mobile phone end synchronously uploads complete electrocardio data to the server, the server calls an AI-ECG electrocardio analysis service to complete electrocardio analysis, the server returns an analysis result to the mobile phone end in a report form, the analysis result is displayed by a mobile phone App, and finally the user checks or downloads the report through the mobile phone App.
According to the real-time electrocardiogram monitoring system based on the Bluetooth patch type dynamic electrocardiogram recorder, on one hand, compared with a common electrocardiogram signal acquisition circuit, a Bluetooth module is added, the function of synchronous data transmission through Bluetooth during electrocardiogram signal acquisition is realized, real-time electrocardiogram is checked or a short-time report is issued at a mobile phone terminal through Bluetooth transmission, on the other hand, an AI-ECG electrocardiogram analyzer is matched with a mobile phone terminal and a server to immediately produce an electrocardiogram report, the accuracy is high, the analysis is quick, the waiting time of a user is saved, and the monitoring is more timely. In addition, the user can select a short-time electrocardio real-time analysis mode or an electrocardio long-time analysis mode according to actual needs, the electrocardiosignals are monitored in real time or in real time, the equipment acquires good signals, the artificial intelligence electrocardio analysis is rapid and accurate, the use process is convenient and simple, and the method is beneficial to the public to carry out abnormal screening and self-monitoring of the electrocardio.
The embodiments of the present invention have been described in detail, but the description is only for the preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. All equivalent changes and modifications made within the scope of the present invention should be covered by the present patent.
Claims (10)
1. The utility model provides a real-time electrocardio monitoring system, its characterized in that includes SMD developments electrocardio record appearance of bluetooth, cell-phone end and server, SMD developments electrocardio record appearance of bluetooth with the data transmission is realized through the bluetooth to the cell-phone end, the cell-phone end to the service is called to the server, the server is connected with the electrocardio analysis appearance.
2. The real-time electrocardiographic monitoring system according to claim 1, wherein the server comprises an analysis service unit, the analysis service unit comprises a user registration service, a system monitoring service and an electrocardiographic reporting service, the user registration service is used for providing registration and registration services for users, the system monitoring service is used for internally monitoring the operation condition of the whole server, and the electrocardiographic reporting service is used for providing the functions of analyzing and reporting electrocardiography of users.
3. The real-time electrocardiographic monitoring system according to claim 1, wherein the server further comprises a server background center, and the server background center is built by a spring cloud architecture and is set as a plurality of service registration centers registered with each other.
4. The real-time electrocardiographic monitoring system according to claim 1, wherein a load balancing module is further disposed between the server and the mobile phone terminal, and the load balancing module is an RPC load balancing module to relieve data processing pressure of the server.
5. The real-time electrocardiographic monitoring system according to claim 1, wherein the bluetooth patch-type dynamic electrocardiograph recorder comprises a signal processing module, a signal conversion module, an MCU, a power management module, a storage module and a bluetooth module, the signal processing module is electrically connected to the signal conversion module, the signal conversion module is electrically connected to the MCU, the power management module, the storage module, the bluetooth module and the MCU are all electrically connected, the signal processing module is used to collect the electrocardiographic signals of a user for signal filtering, the electrocardiographic signals are converted by the signal conversion module and then transmitted to the MCU for data analysis and operation, the analyzed data is stored by the storage module, and the MCU realizes data intercommunication with the mobile phone terminal through the bluetooth module, the power management module is used for providing electric energy for the MCU.
6. The real-time electrocardiographic monitoring system according to claim 1, wherein the electrocardiograph is an AI-ECG electrocardiograph.
7. A real-time electrocardiographic monitoring method using the real-time electrocardiographic monitoring system according to any one of claims 1 to 6, the monitoring method comprising:
step S1) the user wears the Bluetooth patch type dynamic electrocardiogram recorder to acquire the electrocardiogram information;
step S2), connecting the mobile phone end application with a Bluetooth patch type dynamic electrocardiogram recorder through Bluetooth;
step S3), the mobile phone end receives the electrocardiogram data in real time through the mobile phone APP and displays the electrocardiogram;
step S4) the user selects whether to give a short-time report by clicking the operation interface of the mobile phone end, the mobile phone end enters an electrocardio analysis mode, and the user selects a short-time electrocardio real-time analysis mode or/and an electrocardio long-time analysis mode by clicking the operation interface of the mobile phone end.
8. The real-time electrocardiogram monitoring method according to claim 7, wherein said short-time electrocardiogram real-time analysis mode comprises the following steps:
step T1) the short-time electrocardio data is uploaded to a server by the mobile phone end;
step T2) the server calls AI-ECG to carry out electrocardio analysis and obtains the analysis result;
step T3), the server returns the analysis result to the mobile phone end;
step T4) the user checks the report through the mobile phone APP at the mobile phone end.
9. The real-time electrocardiogram monitoring method according to claim 7, wherein said electrocardiogram long-time analysis mode comprises the following steps:
step R1) stopping the acquisition of electrocardiosignals by the Bluetooth patch type dynamic electrocardiograph recorder and transmitting data to the mobile phone by Bluetooth;
step R2) the mobile phone end uploads the complete electrocardiogram data to the server;
step R3) the server calls AI-ECG to carry out electrocardio analysis and obtains an analysis result;
step R4), the server returns the analysis result to the mobile phone end;
step R5) the user checks the report through the mobile phone APP at the mobile phone end.
10. A real-time electrocardiogram monitoring method according to claim 8 or 9, characterized in that the electrocardiogram analysis uses an AI-ECG automatic electrocardiogram analysis algorithm, and the electrocardiogram waveform is subjected to feature recognition, interference recognition and heart beat classification by an artificial intelligent convolutional neural network model.
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