Electrocardio remote program control device and method for implantable pacemaker

Abstract

The invention discloses an implantable pacemaker electrocardio remote program control device and a method thereof. The method comprises the steps that a preset medical database is inquired according to identity information of a user, a heart health parameter evaluation model is obtained through training, real-time data of the user and a pacemaker are obtained and processed through the model, heart health expected evaluation parameters are obtained, processing is conducted according to the real-time data of the user in combination with heart electrophysiology standard parameter data, and a heart health evaluation result is obtained. Heart health real-time evaluation parameters are obtained through calculation; heart health degree deviation rates are obtained through processing in combination with heart health expected evaluation parameters; heart health comprehensive evaluation parameters are obtained through further processing; program control is carried out through threshold value comparison, and heart electrophysiological conditioning parameter data are obtained; processing to obtain an electrophysiological index conditioning deviation ratio, carrying out weighted summation processing by combining the electrophysiological index conditioning deviation ratio to obtain program control actual effect parameters, and finally carrying out threshold comparison to determine the program control actual effect; therefore, remote intelligent electrocardio program control of the implantable pacemaker is realized.

Description

Technical Field

[0001] This application relates to the technical field of medical devices, and more particularly, to an implantable pacemaker electrocardiogram remote programming device and method thereof. Background Art

[0002] As an important cardiac medical device, pacemakers are widely used in the treatment of heart diseases, especially for patients with abnormalities in the cardiac conduction system. Traditional pacemakers need to be regularly debugged and detected by professional doctors in the hospital. However, due to the scattered living locations of patients and the need for regular reviews, patients often have to make frequent trips to the hospital for examinations, causing inconvenience and waste of medical resources. In recent years, telemedicine has gradually developed and been applied to the diagnosis and treatment of various diseases. However, there are still technical difficulties in the remote control and adjustment of pacemakers, especially in how to achieve efficient decision-making and remote regulation between patients and medical platforms. Therefore, developing a convenient and effective pacemaker remote programming system that can help patients perform automatic programming outside the hospital and receive real-time feedback and treatment decisions from professionals remotely has important clinical significance.

[0003] In view of the above problems, there is an urgent need for effective technical solutions. Summary of the Invention

[0004] The purpose of this application is to provide an implantable pacemaker electrocardiogram remote programming device and method. By training a cardiac health parameter evaluation model, real-time cardiac electrophysiological parameter data of the user and actual set parameter data of the pacemaker are input into the cardiac health parameter evaluation model for processing to obtain expected cardiac health evaluation parameters. Standard cardiac electrophysiological parameter data of the user is obtained, processed in combination with the real-time cardiac electrophysiological parameter data to obtain the electrophysiological index deviation rate. The real-time cardiac electrophysiological parameter data is processed to obtain real-time cardiac health evaluation parameters, which are processed in combination with the expected cardiac health evaluation parameters to obtain the cardiac health degree deviation rate. The cardiac health degree deviation rate and the electrophysiological index deviation rate are comprehensively processed to obtain a comprehensive cardiac health evaluation parameter, and a threshold comparison is performed. If it is less than the preset cardiac health degree threshold, the set parameter data of the pacemaker is adjusted according to the electrophysiological index deviation rate to obtain the adjusted parameter data of the pacemaker. Then, the cardiac electrophysiological conditioning parameter data of the user is obtained, processed in combination with the standard cardiac electrophysiological parameter data to obtain the electrophysiological index conditioning deviation rate, and weighted summation processing is performed in combination with the electrophysiological index deviation rate to obtain the programming effectiveness parameter. Finally, a threshold comparison is performed, and the programming effectiveness of the pacemaker electrocardiogram remote programming is determined according to the threshold comparison result.

[0005] This application also provides an implantable pacemaker electrocardiogram remote programming device, including:

[0006] A data acquisition and processing module, which is used to acquire user and pacemaker parameter data and perform data processing;

[0007] A data transmission module, which is used for data transmission between the pacemaker, the user, and medical staff;

[0008] A pacemaker setting parameter programming module, which is used to remotely adjust the pacemaker parameters;

[0009] A safety assessment module, which is used to sign an electronic agreement after confirming and agreeing to the treatment recommendations.

[0010] Optionally, in the implantable pacemaker electrocardiogram remote programming device described in this application, the data acquisition and processing module includes:

[0011] A data acquisition module, which is used to acquire user identity information, real-time cardiac electrophysiological parameter data, and actual pacemaker setting parameter data;

[0012] A data processing module, which is used to query a preset medical database according to the user's identity information, and perform data processing according to the user's real-time cardiac electrophysiological parameter data and actual pacemaker setting parameter data.

[0013] In a second aspect, this application provides an implantable pacemaker electrocardiogram remote programming method, including the following steps:

[0014] Acquire the user's identity information, query a preset medical database, obtain multiple sets of the user's historical cardiac electrophysiological parameter data, pacemaker setting parameter data, and corresponding cardiac health evaluation parameters, and perform training to obtain a cardiac health parameter evaluation model;

[0015] Acquire the user's real-time cardiac electrophysiological parameter data and actual pacemaker setting parameter data, and perform processing in combination with the cardiac health parameter evaluation model to obtain cardiac health expected evaluation parameters;

[0016] Acquire the user's standard cardiac electrophysiological parameter data, perform processing in combination with the real-time cardiac electrophysiological parameter data to obtain an electrophysiological index deviation rate, perform processing to obtain real-time cardiac health evaluation parameters, and perform processing in combination with the cardiac health expected evaluation parameters to obtain a cardiac health degree deviation rate;

[0017] Perform weighted summation processing according to the cardiac health degree deviation rate and the electrophysiological index deviation rate to obtain a comprehensive cardiac health evaluation parameter;

[0018] Compare the comprehensive cardiac health evaluation parameter with a preset cardiac health degree threshold. If it is less than the preset cardiac health degree threshold, adjust the pacemaker setting parameter data according to the electrophysiological index deviation rate through a preset medical platform to obtain pacemaker adjusted parameter data;

[0019] Obtain the cardiac electrophysiological conditioning parameter data of the user within the preset time after the pacemaker adjustment, and process it in combination with the cardiac electrophysiological standard parameter data to obtain the conditioning deviation rate of the electrophysiological index;

[0020] Perform weighted summation processing according to the conditioning deviation rate of the electrophysiological index in combination with the deviation rate of the electrophysiological index to obtain the programmed effectiveness parameter;

[0021] Compare the programmed effectiveness parameter with the preset programmed effectiveness threshold, and determine the programmed effectiveness of the pacemaker electrocardiogram remote programming according to the threshold comparison result.

[0022] Optionally, in the implantable pacemaker electrocardiogram remote programming method described in the present application, the method of obtaining the user's identity information, querying the preset medical database to obtain multiple cardiac electrophysiological historical parameter data, pacemaker setting parameter data and corresponding cardiac health evaluation parameters of the user, and training to obtain a cardiac health parameter evaluation model includes:

[0023] Obtain the user's identity information, query the preset medical database according to the identity information to obtain multiple cardiac electrophysiological historical parameter data, pacemaker setting parameter data and corresponding cardiac health evaluation parameters of the user;

[0024] The cardiac electrophysiological historical parameter data includes heart rhythm historical data, P-wave historical data, QRS complex historical data, T-wave historical data, PR interval historical data and QT interval historical data;

[0025] The pacemaker setting parameter data includes pacing frequency, pacing energy threshold and sensing sensitivity;

[0026] Train the initialized cardiac health parameter evaluation model according to the heart rhythm historical data, P-wave historical data, QRS complex historical data, T-wave historical data, PR interval historical data and QT interval historical data in combination with the pacing frequency, pacing energy threshold and sensing sensitivity and the corresponding cardiac health evaluation parameters to obtain the trained cardiac health parameter evaluation model.

[0027] Optionally, in the implantable pacemaker electrocardiogram remote programming method described in the present application, the method of obtaining the user's cardiac electrophysiological real-time parameter data and the actual pacemaker setting parameter data, and processing them in combination with the cardiac health parameter evaluation model to obtain the cardiac health expected evaluation parameters includes:

[0028] Obtain the user's cardiac electrophysiological real-time parameter data and the actual pacemaker setting parameter data;

[0029] The cardiac electrophysiological real-time parameter data includes heart rhythm real-time data, P-wave real-time data, QRS complex real-time data, T-wave real-time data, PR interval real-time data and QT interval real-time data;

[0030] The real-time data of the pacemaker includes real-time data of pacing frequency, real-time data of pacing energy, and real-time data of sensing sensitivity;

[0031] Input the real-time cardiac rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, real-time QT interval data, and the real-time data of pacing frequency, real-time data of pacing energy, and real-time data of sensing sensitivity into the cardiac health parameter evaluation model for processing to obtain cardiac health expected evaluation parameters.

[0032] Optionally, in the method for remote electrocardiogram programming of the implantable pacemaker described in this application, obtaining the cardiac electrophysiological standard parameter data of the user, processing in combination with the real-time cardiac electrophysiological parameter data to obtain the electrophysiological index deviation rate, and performing processing to obtain the real-time cardiac health evaluation parameter, and processing in combination with the cardiac health expected evaluation parameter to obtain the cardiac health degree deviation rate, including:

[0033] Query the preset medical database according to the user information to obtain the cardiac electrophysiological standard parameter data corresponding to the user;

[0034] Process the real-time cardiac rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, and real-time QT interval data respectively with the corresponding cardiac electrophysiological standard parameter data to obtain the electrophysiological index deviation rate;

[0035] The electrophysiological index deviation rate includes heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate;

[0036] Input the heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate into the preset cardiac monitoring evaluation model for processing to obtain the real-time cardiac health evaluation parameter;

[0037] Process according to the real-time cardiac health evaluation parameter and the cardiac health expected evaluation parameter to obtain the cardiac health degree deviation rate.

[0038] Optionally, in the method for remote electrocardiogram programming of the implantable pacemaker described in this application, performing weighted summation processing according to the cardiac health degree deviation rate and the electrophysiological index deviation rate to obtain the comprehensive cardiac health evaluation parameter, including:

[0039] Query the preset electrocardiogram index weight coefficient list according to the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate to obtain the heart rate weight coefficient, P wave weight coefficient, QRS complex weight coefficient, T wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient;

[0040] Perform a weighted summation process according to the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate, in combination with the heart rate weight coefficient, P wave weight coefficient, QRS complex weight coefficient, T wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient, as well as the heart health deviation rate, to obtain the comprehensive heart health evaluation parameter.

[0041] Optionally, in the implantable pacemaker electrocardiogram remote programming method described in this application, the obtaining of the cardiac electrophysiological conditioning parameter data of the user at a preset time after the pacemaker adjustment, and the combination with the cardiac electrophysiological standard parameter data for processing to obtain the electrophysiological index conditioning deviation rate includes:

[0042] Obtain the cardiac electrophysiological conditioning parameter data of the user at a preset time after the pacemaker adjustment, including heart rate conditioning data, P wave conditioning data, QRS complex conditioning data, T wave conditioning data, PR interval conditioning data, and QT interval conditioning data;

[0043] Perform a comparison process on the heart rate conditioning data, P wave conditioning data, QRS complex conditioning data, T wave conditioning data, PR interval conditioning data, and QT interval conditioning data respectively with the corresponding cardiac electrophysiological standard parameter data to obtain the electrophysiological index conditioning deviation rate;

[0044] The electrophysiological index conditioning deviation rate includes the conditioning heart rate deviation rate, conditioning P wave deviation rate, conditioning QRS complex deviation rate, conditioning T wave deviation rate, conditioning PR interval deviation rate, and conditioning QT interval deviation rate.

[0045] Optionally, in the implantable pacemaker electrocardiogram remote programming method described in this application, the performing of a weighted summation process according to the electrophysiological index conditioning deviation rate in combination with the electrophysiological index deviation rate to obtain the programming effectiveness parameter includes:

[0046] If the conditioning heart rate deviation rate, conditioning P wave deviation rate, conditioning QRS complex deviation rate, conditioning T wave deviation rate, conditioning PR interval deviation rate, and conditioning QT interval deviation rate are all less than the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate, then perform a comparison to obtain the heart rate conditioning optimization rate, P wave conditioning optimization rate, QRS complex conditioning optimization rate, T wave conditioning optimization rate, PR interval conditioning optimization rate, and QT interval conditioning optimization rate;

[0047] Perform weighted summation processing based on the heart rate conditioning optimization rate, P-wave conditioning optimization rate, QRS complex conditioning optimization rate, T-wave conditioning optimization rate, PR interval conditioning optimization rate, and QT interval conditioning optimization rate to obtain the programmed actual effect parameter.

[0048] Optionally, in the method for remote electrocardiogram programming of an implantable pacemaker described in this application, the comparing the programmed actual effect parameter with a preset programmed actual effect threshold and determining the programmed actual effect of the remote electrocardiogram programming of the pacemaker according to the threshold comparison result includes:

[0049] Compare the programmed actual effect parameter with a preset programmed actual effect reference parameter to obtain a relative value of the programmed actual effect;

[0050] Compare the relative value of the programmed actual effect with a preset programmed actual effect threshold;

[0051] If it is less than or equal to the preset programmed actual effect threshold, determine that the programming is ineffective;

[0052] If it is greater than the preset programmed actual effect threshold, determine that the programming is effective.

[0053] Optionally, in the method for remote electrocardiogram programming of an implantable pacemaker described in this application, the comparing the comprehensive cardiac health evaluation parameter with a preset cardiac health threshold, if it is less than the preset cardiac health threshold, then adjust the pacemaker setting parameter data through a preset medical platform according to the electrophysiological index deviation rate to obtain the pacemaker adjusted parameter data, and then further includes:

[0054] Send the pacemaker adjusted parameter data to the user terminal for display through a mobile application;

[0055] Obtain the user's regulation instruction information. If it is allowed to adjust, perform remote programming according to the pacemaker adjusted parameter data;

[0056] If it is prohibited from adjusting, activate the communication response between the user and the medical staff.

[0057] As can be seen from the above, an implantable pacemaker electrocardiogram remote programming device and method provided by the present application train a heart health parameter evaluation model, obtain real-time cardiac electrophysiological parameter data of a user and actual set parameter data of a pacemaker, input them into the heart health parameter evaluation model for processing to obtain expected heart health evaluation parameters, obtain standard cardiac electrophysiological parameter data of the user, combine and process the real-time cardiac electrophysiological parameter data to obtain an electrophysiological index deviation rate, process the real-time cardiac electrophysiological parameter data to obtain real-time heart health evaluation parameters, combine and process the real-time heart health evaluation parameters to obtain a heart health degree deviation rate, comprehensively process the heart health degree deviation rate and the electrophysiological index deviation rate to obtain a comprehensive heart health evaluation parameter, and perform a threshold comparison. If it is less than a preset heart health degree threshold, the set parameter data of the pacemaker is adjusted according to the electrophysiological index deviation rate to obtain adjusted pacemaker parameter data. Then, the cardiac electrophysiological conditioning parameter data of the user is obtained, combined and processed with the standard cardiac electrophysiological parameter data to obtain an electrophysiological index conditioning deviation rate, and a weighted summation process is performed in combination with the electrophysiological index deviation rate to obtain a programmed effectiveness parameter. Finally, a threshold comparison is performed, and the programmed effectiveness of the pacemaker electrocardiogram remote programming is determined according to the threshold comparison result.

[0058] Other features and advantages of the present application will be described in the subsequent specification, and, in part, will be obvious from the specification, or can be understood by implementing the embodiments of the present application. The objectives and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written specification and the drawings. Brief Description of the Drawings

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0060] Figure 1 It is a system diagram of an implantable pacemaker electrocardiogram remote programming device provided by an embodiment of the present application;

[0061] Figure 2 It is a high-level flowchart of the methods of various embodiments of the present application, and these methods can be used for electrocardiogram remote programming of an implantable pacemaker electrocardiogram remote programming device;

[0062] Figure 3 It is a flowchart of obtaining expected heart health evaluation parameters of an implantable pacemaker electrocardiogram remote programming method provided by an embodiment of the present application;

[0063] Figure 4Flowchart for obtaining the conditioning deviation rate of electrophysiological indexes in an implantable pacemaker electrocardiogram remote programming method provided by an embodiment of the present application;

[0064] Figure 5 Flowchart for obtaining the conditioning deviation rate of electrophysiological indexes in an implantable pacemaker electrocardiogram remote programming method provided by an embodiment of the present application. Detailed implementation manners

[0065] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Usually, the components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application.

[0066] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0067] Please refer to Figure 1 , Figure 1 which is a system diagram of an implantable pacemaker electrocardiogram remote programming device provided by an embodiment of the present application, including:

[0068] A data acquisition and processing module 11, configured to acquire user and pacemaker parameter data and perform data processing;

[0069] A data transmission module 12, configured to perform data transmission between the pacemaker, the user, and medical personnel;

[0070] A pacemaker setting parameter programming module 13, configured to remotely adjust pacemaker parameters;

[0071] A safety assessment module 14, configured to sign an electronic agreement after confirming and agreeing to the treatment recommendation.

[0072] It should be noted that the data acquisition module 111 is mainly used to acquire the user's identity information and corresponding historical medical data, interact and transmit through the data transmission module 12, and perform corresponding data processing through the data processing module 112 to provide a data basis for determining the parameters of the remotely adjustable pacemaker. After the patient confirms and agrees to the doctor's treatment advice, the security evaluation module 14 provides an electronic protocol signing function. The user signs the electronic protocol through the mobile application, indicating consent to remotely adjust the pacemaker parameters. Thereafter, professionals remotely control the programming probe through the medical platform to adjust the various parameters of the pacemaker to ensure that the working state of the pacemaker matches the actual needs of the patient.

[0073] According to an embodiment of the present invention, the data acquisition and processing module 11 includes:

[0074] A data acquisition module 111, configured to acquire the user's identity information, real-time cardiac electrophysiological parameter data, and actual set parameter data of the pacemaker;

[0075] A data processing module 112, configured to query a preset medical database according to the user's identity information, and perform data processing according to the user's real-time cardiac electrophysiological parameter data and actual set parameter data of the pacemaker.

[0076] It should be noted that the data acquisition module 111 provides data support for the data processing module, and the data processing module 112 processes the acquired data to determine the remotely adjustable pacemaker parameters of the implantable pacemaker.

[0077] Please refer to Figure 2 , Figure 2 which is a high-level flowchart of the methods of various embodiments of the present application and can be used for an implantable pacemaker electrocardiogram remote programming device to implement an implantable pacemaker electrocardiogram remote programming method. For example, in step S206, the pacemaker setting parameter data is sent to the user terminal for display through the mobile application. If adjustment is allowed, remote programming is implemented according to the pacemaker setting parameter data. If adjustment is prohibited, the communication response between the user and the medical staff is activated.

[0078] The present invention discloses an implantable pacemaker electrocardiogram remote programming method. This implantable pacemaker electrocardiogram remote programming method is used in terminal devices such as computers and mobile phone terminals. This implantable pacemaker electrocardiogram remote programming method includes the following steps:

[0079] Acquire the user's identity information, query a preset medical database, obtain multiple historical cardiac electrophysiological parameter data, pacemaker setting parameter data, and corresponding cardiac health evaluation parameters of the user, and perform training to obtain a cardiac health parameter evaluation model;

[0080] Obtain the real-time parameter data of the user's cardiac electrophysiology and the actual set parameter data of the pacemaker, and process them in combination with the cardiac health parameter evaluation model to obtain the expected evaluation parameters of cardiac health;

[0081] Obtain the standard parameter data of the user's cardiac electrophysiology, process them in combination with the real-time parameter data of the cardiac electrophysiology to obtain the deviation rate of the electrophysiological index, and then process it to obtain the real-time evaluation parameters of cardiac health. Process them in combination with the expected evaluation parameters of cardiac health to obtain the deviation rate of cardiac health;

[0082] Perform weighted summation processing according to the deviation rate of cardiac health and the deviation rate of electrophysiological index to obtain the comprehensive evaluation parameter of cardiac health;

[0083] Compare the comprehensive evaluation parameter of cardiac health with the preset cardiac health threshold. If it is less than the preset cardiac health threshold, adjust the set parameter data of the pacemaker through the preset medical platform according to the deviation rate of the electrophysiological index to obtain the adjusted parameter data of the pacemaker;

[0084] Obtain the conditioning parameter data of the user's cardiac electrophysiology at a preset time after the pacemaker adjustment, and process them in combination with the standard parameter data of the cardiac electrophysiology to obtain the conditioning deviation rate of the electrophysiological index;

[0085] Perform weighted summation processing according to the conditioning deviation rate of the electrophysiological index in combination with the deviation rate of the electrophysiological index to obtain the parameter of the effectiveness of programming control;

[0086] Compare the parameter of the effectiveness of programming control with the preset threshold of the effectiveness of programming control, and determine the effectiveness of the electrocardiogram remote programming control of the pacemaker according to the result of the threshold comparison.

[0087] It should be noted that in order to remotely program an implantable pacemaker, it is necessary to evaluate the user's heart health and the operation of the pacemaker in real time. First, based on the user's cardiac electrophysiological historical parameter data, pacemaker setting parameter data, and corresponding heart health evaluation parameters, training is carried out to obtain a trained heart health parameter evaluation model. Then, the real-time cardiac electrophysiological parameter data and the actual pacemaker setting parameter data are input into the heart health parameter evaluation model for processing to obtain the expected heart health evaluation parameters, which are used to represent the user's expected heart health condition under the current circumstances. According to the user's identity information, the corresponding cardiac electrophysiological standard parameter data is obtained, and through calculation and processing in combination with the real-time cardiac electrophysiological parameter data, the real-time heart health evaluation parameters are obtained. By combining the obtained expected heart health evaluation parameters for processing, the heart health deviation rate is obtained, which is used to evaluate the deviation between the real-time evaluation and the expected evaluation. By processing the real-time cardiac electrophysiological parameter data in combination with the cardiac electrophysiological standard parameter data, the electrophysiological index deviation rate is obtained, which is used to represent the deviation of the cardiac electrophysiological index. Then, through comprehensive processing of the heart health deviation rate and the electrophysiological index deviation rate, the comprehensive heart health evaluation parameter is obtained; if it is greater than the preset heart health threshold, it indicates that the user's heart health status is good and there is no need to adjust the pacemaker setting parameters for the time being. If it is less than the preset heart health threshold, it indicates that the user's heart health status is poor, and it is necessary to adjust the pacemaker setting parameter data according to the electrophysiological index deviation rate through a preset medical platform to obtain the pacemaker programmed parameter data, where the preset medical platform is provided by a preset pacemaker electrocardiogram programming platform; after adjustment, it is also necessary to continuously monitor the user's heart health condition, obtain the user's cardiac electrophysiological conditioning parameter data, perform calculation and processing in combination with the cardiac electrophysiological standard parameter data to obtain the electrophysiological index conditioning deviation rate, perform calculation and processing in combination with the electrophysiological index deviation rate to obtain the programming effectiveness parameter, and finally conduct a threshold comparison, and determine the programming effectiveness of the pacemaker electrocardiogram remote programming according to the threshold comparison result.

[0088] According to an embodiment of the present invention, the obtaining of the user's identity information, querying a preset medical database to obtain multiple cardiac electrophysiological historical parameter data, pacemaker setting parameter data, and corresponding heart health evaluation parameters of the user, and performing training to obtain a heart health parameter evaluation model includes:

[0089] Obtain the user's identity information, query the preset medical database according to the identity information to obtain multiple cardiac electrophysiological historical parameter data, pacemaker setting parameter data, and corresponding heart health evaluation parameters of the user;

[0090] The cardiac electrophysiological historical parameter data includes rhythm historical data, P-wave historical data, QRS complex historical data, T-wave historical data, PR interval historical data, and QT interval historical data;

[0091] The pacemaker setting parameter data includes pacing frequency, pacing energy threshold, and sensing sensitivity;

[0092] According to the rhythm historical data, P-wave historical data, QRS complex historical data, T-wave historical data, PR interval historical data, and QT interval historical data, combined with the pacing frequency, pacing energy threshold, and sensing sensitivity, as well as the corresponding cardiac health evaluation parameters, the initial cardiac health parameter evaluation model is trained to obtain a trained cardiac health parameter evaluation model.

[0093] It should be noted that in order to remotely evaluate the cardiac health status of a user after installing an implantable pacemaker, first, multiple cardiac electrophysiological historical parameter data of the user, including rhythm historical data, P-wave historical data, QRS complex historical data, T-wave historical data, PR interval historical data, and QT interval historical data, and pacemaker setting parameter data including pacing frequency, pacing energy threshold, and sensing sensitivity, as well as corresponding cardiac health evaluation parameters are obtained. Among them, the P-wave refers to the atrial depolarization wave, representing the excitation of the left and right atria. The QRS complex refers to the change in the depolarization potential and time of the left and right ventricles. The T-wave refers to the process of ventricular repolarization. The PR interval refers to the time from the start of atrial depolarization to the start of ventricular depolarization. The QT interval refers to the time required for the entire process of ventricular depolarization and repolarization. Then, the initial cardiac health parameter evaluation model is trained to obtain a trained cardiac health parameter evaluation model for evaluating the cardiac health of the user.

[0094] Please refer to Figure 3 , Figure 3 is a flowchart of obtaining cardiac health expected evaluation parameters for an implantable pacemaker electrocardiogram remote programming method in some embodiments of the present application. According to an embodiment of the present invention, the cardiac electrophysiological real-time parameter data and the actual pacemaker setting parameter data of the user are obtained and processed in combination with the cardiac health parameter evaluation model to obtain cardiac health expected evaluation parameters, including:

[0095] S31. Obtain the cardiac electrophysiological real-time parameter data and the actual pacemaker setting parameter data of the user;

[0096] S32. The cardiac electrophysiological real-time parameter data includes rhythm real-time data, P-wave real-time data, QRS complex real-time data, T-wave real-time data, PR interval real-time data, and QT interval real-time data;

[0097] S33. The pacemaker real-time data includes pacing frequency real-time data, pacing energy real-time data, and sensing sensitivity real-time data;

[0098] S34. Input the real-time heart rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, real-time QT interval data, the real-time pacing frequency data, real-time pacing energy data, and real-time sensing sensitivity data into the heart health parameter evaluation model for processing to obtain the expected heart health evaluation parameters.

[0099] It should be noted that in order to remotely evaluate the heart health status of the user, the real-time heart rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, real-time QT interval data, the real-time pacing frequency data, real-time pacing energy data, and real-time sensing sensitivity data obtained by the implantable pacemaker are input into the trained heart health parameter evaluation model for processing to obtain the expected heart health evaluation parameters.

[0100] According to the embodiments of the present invention, the acquisition of the electrophysiological standard parameter data of the user's heart, combined with the real-time electrophysiological parameter data for processing to obtain the electrophysiological index deviation rate, and further processing to obtain the real-time heart health evaluation parameters, and combined with the expected heart health evaluation parameters for processing to obtain the heart health degree deviation rate, includes:

[0101] Query the preset medical database according to the user information to obtain the electrophysiological standard parameter data corresponding to the user;

[0102] Process the real-time heart rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, and real-time QT interval data respectively with the corresponding electrophysiological standard parameter data of the heart to obtain the electrophysiological index deviation rate;

[0103] The electrophysiological index deviation rate includes heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate;

[0104] Input the heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate into the preset heart monitoring evaluation model for processing to obtain the real-time heart health evaluation parameters;

[0105] Process according to the real-time heart health evaluation parameters and the expected heart health evaluation parameters to obtain the heart health degree deviation rate.

[0106] It should be noted that the electrophysiological standard parameter data of different users should not be evaluated using a unified standard, but should be set according to the specific situation of the user. Therefore, first, query the preset medical database according to the user information to obtain the electrophysiological standard parameter data corresponding to the user, including heart rate standard data, P-wave standard data, QRS complex standard data, T-wave standard data, PR interval standard data, and QT interval standard data. Among them, the preset medical database is provided by the preset pacemaker electrocardiogram programming platform. Then, the real-time rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, and real-time QT interval data are respectively processed with the corresponding electrophysiological standard parameter data to obtain the electrophysiological index deviation rate. The electrophysiological index deviation rate refers to the ratio of the absolute value of the difference between the real-time electrophysiological parameter data and the electrophysiological standard parameter data to the electrophysiological standard parameter data. For example, if the real-time heart rate data is 63 and the heart rate standard data is 70, then 7 / 70 = 0.1 is the heart rate deviation rate. Similarly, the P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate can be obtained and input into the preset heart monitoring and evaluation model for processing to obtain the real-time heart health evaluation parameter. Among them, the preset heart monitoring and evaluation model is obtained by training with the heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate of a large number of historical samples and the corresponding real-time heart health evaluation parameters. Finally, the real-time heart health evaluation parameter and the expected heart health evaluation parameter are processed to obtain the heart health degree deviation rate;

[0107] The calculation formula for the heart health degree deviation rate is as follows:

[0108]

[0109] where h p is the heart health degree deviation rate, and h x and h y are the real-time heart health evaluation parameter and the expected heart health evaluation parameter respectively.

[0110] According to the embodiment of the present invention, the weighted sum processing is performed according to the heart health degree deviation rate and the electrophysiological index deviation rate to obtain the comprehensive heart health evaluation parameter, including:

[0111] Query the preset electrocardiogram index weight coefficient list according to the heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate to obtain the heart rate weight coefficient, P-wave weight coefficient, QRS complex weight coefficient, T-wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient;

[0112] Based on the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate, combined with the heart rate weight coefficient, P wave weight coefficient, QRS complex weight coefficient, T wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient, as well as the heart health deviation rate, a weighted sum processing is performed to obtain a comprehensive heart health evaluation parameter.

[0113] It should be noted that in order to accurately evaluate the user's heart health condition, it is necessary to comprehensively consider the heart health deviation rate and the electrophysiological index deviation rate. First, according to the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate, a preset electrocardiogram index weight coefficient list is queried to obtain the heart rate weight coefficient, P wave weight coefficient, QRS complex weight coefficient, T wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient. Among them, the preset electrocardiogram index weight coefficient list is obtained by querying through a preset pacemaker electrocardiogram programming platform. Then, based on the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate, combined with the heart rate weight coefficient, P wave weight coefficient, QRS complex weight coefficient, T wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient, as well as the heart health deviation rate, a weighted sum processing is performed to obtain a comprehensive heart health evaluation parameter. Among them, the corresponding weight values are obtained by querying through a third-party preset electrocardiogram remote programming platform, and the preset electrocardiogram remote programming platform is the information data source for information data acquisition, interaction, and processing during the implementation of this solution.

[0114] Please refer to Figure 4 , Figure 4 is a flowchart for obtaining the electrophysiological index conditioning deviation rate of an implantable pacemaker electrocardiogram remote programming method in some embodiments of the present application. According to an embodiment of the present invention, the method for obtaining the electrophysiological conditioning parameter data of the user's heart at a preset time after the pacemaker adjustment, and processing in combination with the electrophysiological standard parameter data of the heart to obtain the electrophysiological index conditioning deviation rate includes:

[0115] S41. Obtain the electrophysiological conditioning parameter data of the user's heart at a preset time after the pacemaker adjustment, including heart rate conditioning data, P wave conditioning data, QRS complex conditioning data, T wave conditioning data, PR interval conditioning data, and QT interval conditioning data;

[0116] S42. Perform a comparison process on the heart rate conditioning data, P wave conditioning data, QRS complex conditioning data, T wave conditioning data, PR interval conditioning data, and QT interval conditioning data respectively with the corresponding electrophysiological standard parameter data of the heart to obtain the electrophysiological index conditioning deviation rate;

[0117] S43. The electrophysiological index conditioning deviation rate includes the conditioning heart rate deviation rate, the conditioning P wave deviation rate, the conditioning QRS complex deviation rate, the conditioning T wave deviation rate, the conditioning PR interval deviation rate, and the conditioning QT interval deviation rate.

[0118] It should be noted that after the implantable pacing parameter adjustment is completed, it is also necessary to continuously pay attention to the effect after adjustment after running for a period of time. First, obtain the cardiac electrophysiological conditioning parameter data including heart rate conditioning data, P wave conditioning data, QRS complex conditioning data, T wave conditioning data, PR interval conditioning data, and QT interval conditioning data, and then compare and process them with the corresponding cardiac electrophysiological standard parameter data respectively to obtain the electrophysiological index conditioning deviation rate. The electrophysiological index conditioning deviation rate refers to the ratio of the absolute value of the difference between the cardiac electrophysiological conditioning parameter data and the cardiac electrophysiological standard parameter data to the cardiac electrophysiological standard parameter data. For example, if the heart rate conditioning data is 65 and the heart rate standard data is 70, then 7 / 70 = 0.07 is the conditioning heart rate deviation rate. Similarly, the conditioning P wave deviation rate, the conditioning QRS complex deviation rate, the conditioning T wave deviation rate, the conditioning PR interval deviation rate, and the conditioning QT interval deviation rate can be obtained.

[0119] Please refer to Figure 5 , Figure 5 is a flowchart of obtaining the programmed efficacy parameters of an implantable pacemaker electrocardiogram remote programming method in some embodiments of the present application. According to an embodiment of the present invention, the weighted sum processing is performed according to the electrophysiological index conditioning deviation rate in combination with the electrophysiological index deviation rate to obtain the programmed efficacy parameters, including:

[0120] S51. If the conditioning heart rate deviation rate, the conditioning P wave deviation rate, the conditioning QRS complex deviation rate, the conditioning T wave deviation rate, the conditioning PR interval deviation rate, and the conditioning QT interval deviation rate are all smaller than the heart rate deviation rate, the P wave deviation rate, the QRS complex deviation rate, the T wave deviation rate, the PR interval deviation rate, and the QT interval deviation rate, then a comparison is made to obtain the heart rate conditioning optimization rate, the P wave conditioning optimization rate, the QRS complex conditioning optimization rate, the T wave conditioning optimization rate, the PR interval conditioning optimization rate, and the QT interval conditioning optimization rate;

[0121] S52. Perform weighted sum processing according to the heart rate conditioning optimization rate, the P wave conditioning optimization rate, the QRS complex conditioning optimization rate, the T wave conditioning optimization rate, the PR interval conditioning optimization rate, and the QT interval conditioning optimization rate to obtain the programmed efficacy parameters.

[0122] It should be noted that in order to verify the working effectiveness after the parameters of the implantable pacemaker are adjusted, the obtained conditioning heart rate deviation rate, conditioning P-wave deviation rate, conditioning QRS complex deviation rate, conditioning T-wave deviation rate, conditioning PR interval deviation rate, and conditioning QT interval deviation rate are respectively compared with the heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate obtained before the adjustment. If one or more of them are greater than those before the adjustment, it indicates that the parameter adjustment needs to be further confirmed, and a warning is sent to the medical staff through the preset medical platform. If they are all less than those before the adjustment, the heart rate conditioning optimization rate, P-wave conditioning optimization rate, QRS complex conditioning optimization rate, T-wave conditioning optimization rate, PR interval conditioning optimization rate, and QT interval conditioning optimization rate are further calculated. The heart rate conditioning optimization rate is the ratio of the difference between the heart rate deviation rate and the conditioning heart rate deviation rate to the heart rate deviation rate. For example, if the heart rate deviation rate is 0.1 and the conditioning heart rate deviation rate is 0.07, then (0.1 - 0.07) / 0.1 = 0.3. Similarly, the P-wave conditioning optimization rate, QRS complex conditioning optimization rate, T-wave conditioning optimization rate, PR interval conditioning optimization rate, and QT interval conditioning optimization rate can be obtained, and further weighted summation processing is performed to obtain the programmed effectiveness parameter.

[0123] According to an embodiment of the present invention, comparing the programmed effectiveness parameter with a preset programmed effectiveness threshold, and determining the programmed effectiveness of the remote electrocardiogram programming of the pacemaker according to the threshold comparison result includes:

[0124] Comparing the programmed effectiveness parameter with a preset programmed effectiveness reference parameter to obtain a programmed effectiveness relative value;

[0125] Comparing the programmed effectiveness relative value with a preset programmed effectiveness threshold;

[0126] If it is less than or equal to the preset programmed effectiveness threshold, it is determined that the programming is invalid;

[0127] If it is greater than the preset programmed effectiveness threshold, it is determined that the programming is effective.

[0128] It should be noted that the obtained programmed effectiveness parameter is compared with a preset programmed effectiveness reference parameter to obtain a programmed effectiveness relative value. For example, if the programmed effectiveness parameter is 7 and the preset programmed effectiveness reference parameter is 10, then 7 / 10 = 0.7 is the programmed effectiveness relative value, and then it is compared with the preset programmed effectiveness threshold. In this embodiment, the programmed effectiveness threshold is set to (0, 0.75] and (0.75, 1], corresponding to programming invalid and programming effective respectively. For example, if the obtained programmed effectiveness relative value is 0.7, which is less than the preset programmed effectiveness threshold, it is determined that the programming is invalid; if the obtained programmed effectiveness relative value is 0.8, which is greater than the preset programmed effectiveness threshold, it is determined that the programming is effective.

[0129] According to an embodiment of the present invention, when comparing the comprehensive heart health evaluation parameter with a preset heart health threshold, if it is less than the preset heart health threshold, the pacemaker setting parameter data is adjusted through a preset medical platform according to the electrophysiological index deviation rate to obtain pacemaker adjustment parameter data. After that, the following steps are further included:

[0130] Send the pacemaker adjustment parameter data to the user terminal for display through a mobile application;

[0131] Obtain the user's regulation instruction information. If it is allowed to adjust, perform remote programming according to the pacemaker adjustment parameter data;

[0132] If it is prohibited to adjust, activate the communication response between the user and the medical staff.

[0133] It should be noted that to ensure the health of the user, after the medical staff makes a treatment decision, first send the pacemaker adjustment parameter data to the user terminal for display through a mobile application. The user can view the doctor's treatment advice on the mobile phone and confirm whether to agree with the professional's treatment plan. If agreeing to adjust, perform remote programming according to the pacemaker adjustment parameter data. If prohibited from adjusting, activate the communication response between the user and the medical staff to ensure that the patient can clearly understand the treatment plan.

[0134] It is worth mentioning that according to an embodiment of the present invention, the following steps are further included:

[0135] Obtain the operation duration data of the pacemaker, the initial electrode impedance data, and the real-time electrode impedance data;

[0136] Compare the real-time pacing frequency data, real-time pacing energy data, real-time sensing sensitivity data, and real-time electrode impedance data with the pacing frequency, pacing energy threshold, sensing sensitivity, and initial electrode impedance data respectively to obtain the pacing frequency deviation rate, pacing voltage deviation rate, sensing sensitivity deviation rate, and electrode impedance deviation rate;

[0137] Input the pacing frequency deviation rate, pacing energy deviation rate, sensing sensitivity deviation rate, electrode impedance deviation rate, and the real-time operation duration data into a preset actual effect impact evaluation model for processing to obtain the actual effect impact coefficient of the pacemaker, and correct the heart health expected evaluation parameter to obtain the heart health optimized evaluation parameter.

[0138] It should be noted that the performance of implantable pacemakers may degrade over time. To reduce the impact of performance on the collected data, first, the operating duration data of the pacemaker, the initial electrode impedance data, and the real-time electrode impedance data are obtained. Then, the real-time pacing frequency data, real-time pacing energy data, real-time sensing sensitivity data, and real-time electrode impedance data obtained are compared with the pacing frequency, pacing energy threshold, sensing sensitivity, and initial electrode impedance data respectively to obtain the pacing frequency deviation rate, pacing energy deviation rate, sensing sensitivity deviation rate, and electrode impedance deviation rate. Among them, the pacing frequency deviation rate refers to the ratio of the absolute value of the difference between the real-time pacing frequency data and the set pacing frequency to the set pacing frequency. Similarly, the pacing energy deviation rate, sensing sensitivity deviation rate, and electrode impedance deviation rate can be obtained. The real-time operating duration data of the pacemaker is processed through a preset effectiveness impact evaluation model to obtain the effectiveness impact coefficient of the pacemaker. The preset effectiveness impact evaluation model is trained by obtaining the pacing frequency deviation rate, pacing energy deviation rate, sensing sensitivity deviation rate, electrode impedance deviation rate, and real-time operating duration data of a large number of historical samples and the corresponding effectiveness impact coefficients;

[0139] Finally, the effectiveness impact coefficient is used to correct the cardiac health expectation evaluation parameters to obtain the optimized cardiac health evaluation parameters.

[0140] It is worth mentioning that according to the embodiments of the present invention, it further includes:

[0141] Obtain the real-time remaining battery power of the pacemaker;

[0142] Compare the real-time remaining battery power with a preset battery power threshold. The preset battery power threshold includes a first preset battery power threshold and a second preset battery power threshold, and the first preset battery power threshold is greater than the second preset battery power threshold;

[0143] If it is greater than the first preset battery power threshold, it is determined that the battery power is sufficient;

[0144] If it is less than or equal to the first preset battery power threshold and greater than the second preset battery power threshold, it is determined that the battery power is insufficient, and an energy-saving mode response is activated;

[0145] If it is less than or equal to the second preset battery power threshold, it is determined that the battery power is too low, and a warning reminder response is output.

[0146] It should be noted that an implantable pacemaker relies on a battery for power supply and requires close attention. First, obtain the real-time remaining battery power of the pacemaker and compare it with the first preset power threshold and the second preset power threshold respectively. In this embodiment, the first preset power threshold is set to 0.35 and the second preset power threshold is set to 0.3. If the obtained real-time remaining battery power is 0.4, which is greater than the first preset power threshold, it is determined that the battery power is sufficient. If the obtained real-time remaining battery power is 0.32, which is less than the first preset power threshold and greater than the second preset power threshold, it is determined that the battery power is insufficient, and the energy-saving mode response is activated to automatically reduce the use of some non-critical functions, such as reducing the frequency of remote data transmission or temporarily turning off some automatic diagnosis functions. If the obtained real-time remaining battery power is 0.29, which is less than the second preset power threshold, it is determined that the battery power is too low, and a warning reminder response is output to remind the user to replace the battery in time.

[0147] An implantable pacemaker electrocardiogram remote programming device and method disclosed by the present invention, by training a heart health parameter evaluation model, obtain the real-time parameter data of the user's cardiac electrophysiology and the actual set parameter data of the pacemaker, input them into the heart health parameter evaluation model for processing, obtain the expected evaluation parameters of heart health, obtain the standard parameter data of the user's cardiac electrophysiology, combine and process the real-time parameter data of cardiac electrophysiology to obtain the electrophysiological index deviation rate, process the real-time parameter data of cardiac electrophysiology to obtain the real-time evaluation parameters of heart health, combine and process the expected evaluation parameters of heart health to obtain the heart health degree deviation rate, comprehensively process the heart health degree deviation rate and the electrophysiological index deviation rate to obtain the comprehensive evaluation parameter of heart health, and perform threshold comparison. If it is less than the preset heart health degree threshold, adjust the set parameter data of the pacemaker according to the electrophysiological index deviation rate to obtain the adjusted set parameter data of the pacemaker. Then, obtain the conditioning parameter data of the user's cardiac electrophysiology, combine and process it with the standard parameter data of cardiac electrophysiology to obtain the conditioning deviation rate of electrophysiological index, perform weighted summation processing in combination with the electrophysiological index deviation rate to obtain the program control effectiveness parameter, and finally perform threshold comparison to determine the program control effectiveness of the implantable pacemaker electrocardiogram remote programming according to the threshold comparison result.

[0148] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed with each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical, or other forms.

[0149] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0150] In addition, each functional unit in the embodiments of the present invention may be all integrated in a processing unit, or each unit may be separately used as a unit, or two or more units may be integrated in one unit; the above-mentioned integrated unit may be implemented in the form of hardware or in the form of a combination of hardware and software functional units.

[0151] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it performs the steps including the above method embodiments; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other various media that can store program codes.

[0152] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. And the foregoing storage medium includes: removable storage devices, ROM, RAM, magnetic disks or optical disks and other various media that can store program codes.

Claims

1. An implantable pacemaker electrocardiogram remote programming device, comprising: A data acquisition and processing module, configured to acquire user and pacemaker parameter data and perform data processing; A data transmission module, configured to perform data transmission between the pacemaker, the user, and medical staff; A pacemaker set parameter programming module, configured to remotely adjust pacemaker parameters; A safety assessment module, configured to sign an electronic agreement after confirming and agreeing to a treatment recommendation.

2. The implantable pacemaker electrocardiogram remote programming control device according to claim 1, wherein, The data acquisition and processing module includes: A data acquisition module, configured to acquire user identity information, real-time cardiac electrophysiological parameter data, and actual pacemaker set parameter data; A data processing module, configured to query a preset medical database according to the user's identity information, and perform data processing according to the user's real-time cardiac electrophysiological parameter data and actual pacemaker set parameter data.

3. An electrocardiogram remote programming method for an implantable pacemaker, which is applied to the implantable pacemaker electrocardiogram remote programming device according to any one of claims 1-2, and is characterized in that, Including the following steps: Acquire the user's identity information, query the preset medical database, obtain multiple historical cardiac electrophysiological parameter data, pacemaker set parameter data, and corresponding cardiac health evaluation parameters of the user, and perform training to obtain a cardiac health parameter evaluation model; Acquire the user's real-time cardiac electrophysiological parameter data and actual pacemaker set parameter data, and perform processing in combination with the cardiac health parameter evaluation model to obtain cardiac health expected evaluation parameters; Acquire the user's standard cardiac electrophysiological parameter data, perform processing in combination with the real-time cardiac electrophysiological parameter data to obtain an electrophysiological index deviation rate, and perform processing to obtain real-time cardiac health evaluation parameters, and perform processing in combination with the cardiac health expected evaluation parameters to obtain a cardiac health degree deviation rate; Perform weighted summation processing according to the cardiac health degree deviation rate and the electrophysiological index deviation rate to obtain a comprehensive cardiac health evaluation parameter; Compare the comprehensive cardiac health evaluation parameter with a preset cardiac health degree threshold. If it is less than the preset cardiac health degree threshold, adjust the pacemaker set parameter data through a preset medical platform according to the electrophysiological index deviation rate to obtain pacemaker adjusted parameter data; Acquire the cardiac electrophysiological conditioning parameter data of the user at a preset time after the pacemaker is adjusted, and perform processing in combination with the standard cardiac electrophysiological parameter data to obtain an electrophysiological index conditioning deviation rate; Perform weighted summation processing according to the electrophysiological index conditioning deviation rate and the electrophysiological index deviation rate to obtain a programmed effectiveness parameter; Compare the programmed effectiveness parameter with a preset programmed effectiveness threshold, and determine the programmed effectiveness of the pacemaker electrocardiogram remote programming according to the threshold comparison result.

4. The method for remotely programming the electrocardiogram of an implantable pacemaker according to claim 3, wherein, The step of acquiring the user's identity information, querying the preset medical database, obtaining multiple historical cardiac electrophysiological parameter data, pacemaker set parameter data, and corresponding cardiac health evaluation parameters of the user, and performing training to obtain a cardiac health parameter evaluation model includes: Acquire the user's identity information, query the preset medical database according to the identity information, and obtain multiple historical cardiac electrophysiological parameter data, pacemaker set parameter data, and corresponding cardiac health evaluation parameters of the user; The historical cardiac electrophysiological parameter data includes historical rhythm data, historical P-wave data, historical QRS complex data, historical T-wave data, historical PR interval data, and historical QT interval data; The pacemaker setting parameter data includes pacing frequency, pacing energy threshold, and sensing sensitivity; Based on the cardiac rhythm historical data, P-wave historical data, QRS complex historical data, T-wave historical data, PR interval historical data, and QT interval historical data, combined with the pacing frequency, pacing energy threshold, and sensing sensitivity, as well as the corresponding cardiac health evaluation parameters, the initialized cardiac health parameter evaluation model is trained to obtain a trained cardiac health parameter evaluation model.

5. The method for remotely programming the electrocardiogram of an implantable pacemaker according to claim 4, characterized in that, Obtain the user's real-time cardiac electrophysiological parameter data and the actual pacemaker setting parameter data, and process them in combination with the cardiac health parameter evaluation model to obtain cardiac health expected evaluation parameters, including: Obtain the user's real-time cardiac electrophysiological parameter data and the actual pacemaker setting parameter data; The real-time cardiac electrophysiological parameter data includes real-time cardiac rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, and real-time QT interval data; The real-time pacemaker data includes real-time pacing frequency data, real-time pacing energy data, and real-time sensing sensitivity data; Input the real-time cardiac rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, real-time QT interval data, and the real-time pacing frequency data, real-time pacing energy data, and real-time sensing sensitivity data into the cardiac health parameter evaluation model for processing to obtain cardiac health expected evaluation parameters.

6. The method for remotely programming the electrocardiogram of an implantable pacemaker according to claim 5, wherein Obtain the user's standard cardiac electrophysiological parameter data, process it in combination with the real-time cardiac electrophysiological parameter data to obtain the electrophysiological index deviation rate, and then process it to obtain the real-time cardiac health evaluation parameter, and process it in combination with the cardiac health expected evaluation parameter to obtain the cardiac health degree deviation rate, including: Query the preset medical database according to the user information to obtain the corresponding standard cardiac electrophysiological parameter data of the user; Process the real-time cardiac rhythm data, real-time P-wave data, real-time QRS complex data, real-time T-wave data, real-time PR interval data, and real-time QT interval data respectively with the corresponding standard cardiac electrophysiological parameter data to obtain the electrophysiological index deviation rate; The electrophysiological index deviation rate includes heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate; Input the heart rate deviation rate, P-wave deviation rate, QRS complex deviation rate, T-wave deviation rate, PR interval deviation rate, and QT interval deviation rate into the preset cardiac monitoring evaluation model for processing to obtain the real-time cardiac health evaluation parameter; Process according to the real-time cardiac health evaluation parameter and the cardiac health expected evaluation parameter to obtain the cardiac health degree deviation rate.

7. The method for remotely programming the electrocardiogram of an implantable pacemaker according to claim 6, wherein, Perform weighted summation processing according to the cardiac health degree deviation rate and the electrophysiological index deviation rate to obtain the comprehensive cardiac health evaluation parameter, including: Query the preset electrocardiogram index weight coefficient list according to the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate to obtain the heart rate weight coefficient, P wave weight coefficient, QRS complex weight coefficient, T wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient; Perform a weighted summation process according to the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate, in combination with the heart rate weight coefficient, P wave weight coefficient, QRS complex weight coefficient, T wave weight coefficient, PR interval weight coefficient, and QT interval weight coefficient, as well as the heart health deviation rate, to obtain the comprehensive heart health evaluation parameter.

8. The method for remote electrocardiogram programming of an implantable pacemaker according to claim 7, characterized in that, The obtaining of the electrophysiological conditioning parameter data of the user's heart at a preset time after the pacemaker adjustment, and the processing in combination with the electrophysiological standard parameter data to obtain the electrophysiological index conditioning deviation rate, includes: Obtain the electrophysiological conditioning parameter data of the user's heart at a preset time after the pacemaker adjustment, including heart rate conditioning data, P wave conditioning data, QRS complex conditioning data, T wave conditioning data, PR interval conditioning data, and QT interval conditioning data; Perform a comparison process on the heart rate conditioning data, P wave conditioning data, QRS complex conditioning data, T wave conditioning data, PR interval conditioning data, and QT interval conditioning data respectively with the corresponding electrophysiological standard parameter data to obtain the electrophysiological index conditioning deviation rate; The electrophysiological index conditioning deviation rate includes the conditioning heart rate deviation rate, conditioning P wave deviation rate, conditioning QRS complex deviation rate, conditioning T wave deviation rate, conditioning PR interval deviation rate, and conditioning QT interval deviation rate.

9. The method for remotely programming the electrocardiogram of an implantable pacemaker according to claim 8, characterized in that, The weighted summation process according to the electrophysiological index conditioning deviation rate in combination with the electrophysiological index deviation rate to obtain the programmed efficacy parameter, includes: If the conditioning heart rate deviation rate, conditioning P wave deviation rate, conditioning QRS complex deviation rate, conditioning T wave deviation rate, conditioning PR interval deviation rate, and conditioning QT interval deviation rate are all smaller than the heart rate deviation rate, P wave deviation rate, QRS complex deviation rate, T wave deviation rate, PR interval deviation rate, and QT interval deviation rate, then perform a comparison to obtain the heart rate conditioning optimization rate, P wave conditioning optimization rate, QRS complex conditioning optimization rate, T wave conditioning optimization rate, PR interval conditioning optimization rate, and QT interval conditioning optimization rate; Perform a weighted summation process according to the heart rate conditioning optimization rate, P wave conditioning optimization rate, QRS complex conditioning optimization rate, T wave conditioning optimization rate, PR interval conditioning optimization rate, and QT interval conditioning optimization rate to obtain the programmed efficacy parameter.

10. The method for remote electrocardiogram programming of an implantable pacemaker according to claim 9, characterized in that, The comparison of the programmed efficacy parameter with a preset programmed efficacy threshold, and determining the programmed efficacy of the pacemaker electrocardiogram remote programming according to the threshold comparison result, includes: Compare the programmed efficacy parameter with a preset programmed efficacy reference parameter to obtain the relative value of the programmed efficacy; Compare the relative value of the programmed efficacy with a preset programmed efficacy threshold; If it is less than or equal to the preset programmed efficacy threshold, then determine that the programming is ineffective; If it is greater than a preset programmed effectiveness threshold, it is determined that the programming is effective; when comparing the cardiac health comprehensive evaluation parameter with a preset cardiac health threshold, if it is less than the preset cardiac health threshold, the setting parameters data of the pacemaker are adjusted through a preset medical platform according to the electrophysiological index deviation rate to obtain the pacemaker adjustment parameter data. After that, it further includes: Sending the pacemaker adjustment parameter data to the user terminal for display through a mobile application; Obtaining the user's regulation instruction information. If it is allowed to adjust, remote programming is implemented according to the pacemaker adjustment parameter data; If it is prohibited to adjust, the communication response between the user and the medical staff is activated.

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