Radiofrequency parameter setting method, device, system, and computer-readable storage medium

Abstract

Provided is a radio frequency parameter setting method, device, system and computer readable storage medium, the method includes: obtaining radio frequency operation data of multiple historical radio frequency tasks; analyzing the radio frequency operation data, obtaining radio frequency parameter setting schemes that respectively match different types of operation subjects, and storing them in a preset database; in response to a triggered parameter setting command, obtaining the target type of the target operation subject specified by the parameter setting command, querying the database according to the target type to obtain a target parameter setting scheme, and setting the radio frequency parameters of the target radio frequency operation system specified by the parameter setting command. This method can realize the automatic setting of the parameters of the radio frequency operation system based on big data, simplify the parameter setting operation, save the setting time, and improve the setting efficiency.

Description

[Technical field]

[0001] TECHNICAL FIELD Embodiments of the present disclosure relate to the field of communication technologies, and in particular to a radio frequency parameter setting method, apparatus, system and computer readable storage medium. [Background technology]

[0002] Radiofrequency ablation (RFA) technology is a more common, minimally invasive radiofrequency technology for tumor treatment. The principle of radiofrequency ablation is to use an alternating high-frequency current with a frequency of less than 30 MHz (megahertz) to induce high-speed vibration of ions in tumor tissue, causing the ions to rub against each other, converting the radiofrequency energy into thermal energy, which induces coagulation necrosis of tumor cells.

[0003] Before performing a radio frequency task, it is necessary to set parameters of the radio frequency operation system. Currently, parameter setting mainly relies on manual work, and the existing radio frequency operation system cannot independently set parameters or provide setting references, so the existing radio frequency parameter setting method requires a high level of knowledge and operation experience of the setter, which makes the setting difficult and time-consuming. Summary of the Invention

[0004] According to the radio frequency parameter setting method, device, system, and computer-readable storage medium provided by the embodiments of the present disclosure, automatic setting of parameters of a radio frequency operation system based on big data can be realized, reducing the difficulty of setting, simplifying the parameter setting operation, saving setting time, and improving setting efficiency.

[0005] One aspect of an embodiment of the present disclosure provides a radio frequency parameter setting method applied to a computer device, the method comprising: Acquire radio frequency operation data for a plurality of the historical radio frequency tasks, including explanatory data for each historical radio frequency task, setting parameter data for each radio frequency operation system when executing the historical radio frequency task, characteristic data of an operation subject related to each of the historical radio frequency tasks, and characteristic change data of an operation part of the related operation subject; Analyzing the radio frequency operation data to obtain radio frequency parameter setting schemes respectively corresponding to different types of operation subjects, and storing the schemes in a preset database; In response to the triggered parameter setting command, acquiring a target type of a target operation subject designated by the parameter setting command; and querying said database according to said target type to obtain said parameter setting scheme, and setting radio frequency parameters of a target radio frequency operating system specified by said parameter setting command according to said target parameter setting scheme.

[0006] An aspect of the present disclosure further provides a radio frequency parameter setting device, the device comprising: a first acquisition module for acquiring radio frequency operation data of a plurality of the historical radio frequency tasks, including description data of each historical radio frequency task, setting parameter data of each radio frequency operation system when executing the historical radio frequency task, characteristic data of an operation subject related to each of the historical radio frequency tasks, and characteristic change data of an operation part of the related operation subject; an analysis module for analyzing the radio frequency operation data and obtaining radio frequency parameter setting schemes respectively matching different types of operation subjects; A second acquisition module for acquiring a target type of a target operation subject designated by a triggered parameter setting command in response to the triggered parameter setting command; and a setting module for querying the database to obtain the parameter setting scheme according to the target type, and setting radio frequency parameters of the target radio frequency operating system specified by the parameter setting command according to the target parameter setting scheme.

[0007] In one aspect of the disclosed embodiment, there is provided an electronic device further comprising a memory and a processor, The memory stores executable program code; The processor coupled to the memory invokes the executable program code stored in the memory to perform the radio frequency parameter setting method provided by the above embodiment.

[0008] In one aspect of the present disclosure, there is further provided a radiofrequency parameter setting system, the system comprising a plurality of radiofrequency operation systems, a parameter setting device, and a database server; The radiofrequency operation system includes a radiofrequency unit, a radiofrequency ablation catheter, an indifferent electrode, and an infusion pump; The parameter setting device is for performing each step in the ablation parameter setting method provided in the above embodiments.

[0009] In one aspect of an embodiment of the present disclosure, a computer-readable storage medium is further provided having a computer program stored thereon, the computer program, when executed by a processor, performing each step of the radio frequency parameter setting method provided by the above embodiment.

[0010] From the above embodiment of the present disclosure, by analyzing the radio frequency operation data of multiple historical radio frequency tasks, radio frequency parameter setting schemes matching different types of operation subjects are obtained and stored in a preset database, and then the database is used to obtain a target parameter setting scheme matching a target operation subject specified by a parameter setting command, and the radio frequency parameters of the target radio frequency operation system specified by the parameter setting command are set according to the target parameter setting scheme, thereby realizing automatic setting of system parameters based on big data, thereby reducing the difficulty of setting, simplifying the parameter setting operation, saving the setting time, and improving the setting efficiency, and since the database is based on a large amount of historical operation data, the possibility of referencing the setting results is increased. [Brief description of the drawings]

[0011] In order to more clearly describe the embodiments of the present disclosure or the conventional technical solutions, the following briefly introduces the accompanying drawings used in the embodiments or conventional descriptions. Obviously, the drawings described below are only some embodiments of the present disclosure. Based on these drawings, those skilled in the art can obtain other drawings without creative labor. [Figure 1] FIG. 1 is an application environment diagram of the radio frequency parameter setting method provided by an embodiment of the present disclosure. [Diagram 2] FIG. 2 is an implementation flowchart of a radio frequency parameter setting method provided by one embodiment of the present disclosure. [Diagram 3] FIG. 3 is an implementation flowchart of a radio frequency parameter setting method provided by another embodiment of the present disclosure. [Figure 4] FIG. 4 is a schematic diagram of the structure of a radiofrequency parameter setting device provided by one embodiment of the present disclosure. [Diagram 5] FIG. 5 is a schematic diagram of the hardware structure of an electronic device provided according to an embodiment of the present disclosure. [Figure 6]FIG. 5 is a schematic diagram of the structure of a radiofrequency parameter setting system provided by one embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] In order to make the objectives, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure are described below clearly and completely with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, and are not all the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative labor are included in the protection scope of the present disclosure.

[0013] Referring to FIG. 1, a schematic diagram of an application scenario of a radio frequency parameter setting method provided by an embodiment of the present disclosure is shown. The radio frequency parameter setting method may be realized by a server 20 in FIG. 1. The server 20 may be a single cloud server or a distributed server cluster composed of multiple servers on the cloud. The distributed server cluster includes at least one access server group for data access, at least one distribution server group for data distribution, at least one cloud processing server group for data processing, and at least one database server group for data storage (such as databases in various embodiments of the present disclosure). Each of the above server groups may be located in one place or may be distributed in different places.

[0014] The access server group, as an external interface of the distributed server cluster, establishes a data connection with the distribution server group via a first gateway to realize data exchange, thereby realizing data collection and external transmission of data in the radio wave parameter setting method provided by each embodiment of the present disclosure.

[0015] The distribution server group establishes a data connection with the cloud processing server group via a second gateway to exchange data, thereby realizing the distribution of radiofrequency ablation data and the control of data processing in the radiofrequency parameter setting method provided by each embodiment of the present disclosure. The distribution server group determines a target server for processing data sent from the access server group according to the real-time processing amount of each cloud processing server.

[0016] The cloud processing server group establishes a data connection with the database server group via a third gateway to realize the analysis and processing of radiofrequency ablation data in the radiofrequency parameter setting method provided by each embodiment of the present disclosure, as well as to realize the storage, query, and modification of database-based data in each embodiment of the present disclosure.

[0017] The server 20 establishes a data connection with at least one device in one or more radio frequency operation systems 10 and other related devices 30 through a wireless network or a wired connection, obtains radio frequency operation data of the radio frequency tasks executed by each radio frequency operation system 10 through the data connection, and processes the radio frequency operation data through the radio frequency parameter setting method in the following embodiment. For ease of understanding, only three radio frequency operation systems 10 are shown in Fig. 1, but the actual application is not limited thereto. Multiple radio frequency operation systems 10 can be located in different locations, such as different departments of multiple units in different regions.

[0018] It is understood that when the server 20 establishes a data connection with only some of the devices in the radiofrequency operation system 10, those some of the devices may function as an interface for transferring radiofrequency ablation data of other devices in the radiofrequency operation system 10 to the server 20.

[0019] The other related devices 30 may be other radiofrequency ablation data collection and storage devices, such as medical imaging equipment, intelligent physical examination equipment, a personal computer terminal of a physician user, a server of a medical data publishing platform, and the like. As shown in FIG. 1, radiofrequency operation system 10 includes radiofrequency unit 11, infusion pump 12, indifferent electrode 13, and radiofrequency ablation catheter 14.

[0020] Before performing a radiofrequency task, the radiofrequency ablation catheter 14, which generates and outputs radiofrequency energy, and the extension tube 121 of the injection pump 12 are first inserted into the body of a subject (e.g., a lung cancer patient) to reach the operation site. Then, the neutral electrode 13 is brought into contact with the skin surface of the subject. Radiofrequency current flows through the radiofrequency ablation catheter 14, the tissue of the subject, and the neutral electrode 13 to form a loop.

[0021] When the radiofrequency task is triggered, the radiofrequency unit 11 controls the ablation catheter 14 to output radiofrequency energy to the operation site in the form of discharge, and performs the ablation operation on the operation site. At the same time, the infusion pump 12 performs a perfusion operation on the operation target through the extension tube 121, and injects saline into the operation site to adjust the impedance and temperature of the operation site.

[0022] Also, before executing a radio frequency task, the server 20 may set operation parameters of the radio frequency operation system 10 so that each device in the radio frequency operation system 10 performs a radio frequency operation according to the set operation parameters.

[0023] Referring to Fig. 2, there is shown an implementation flowchart of a method for processing radiofrequency ablation data provided by an embodiment of the present disclosure. The method may be implemented by a computer device such as the server 20 in Fig. 1. For ease of description, they will be collectively referred to as the server hereinafter. As shown in Fig. 2, the method specifically includes the following steps: Step S201: Obtain radio frequency operation data of a plurality of historical radio frequency tasks.

[0024] Specifically, each radio wave operation data includes explanatory data for each historical radio wave task, setting parameter data for each radio wave operation system when executing the historical radio wave task, characteristic data of the operating subject related to each historical radio wave task, and characteristic change data of the operating part of the related operating subject.

[0025] Here, the setting parameter data of the radiofrequency operation system when performing the historical radiofrequency task may include, but is not limited to, for example, the radiofrequency power, radiofrequency time, alarm value, the liquid perfusion amount, flow rate, perfusion time, alarm value, etc. of the infusion pump that are called when the radiofrequency unit controls the radiofrequency ablation catheter to perform the historical radiofrequency task. The radiofrequency unit, the radiofrequency ablation catheter, and the infusion pump each perform the radiofrequency task according to the corresponding parameter data. The characteristic data of the subject of operation related to the historical radio frequency task may include, for example, but is not limited to, the subject's name, age, sex, illness, etc.

[0026] The descriptive data for the historical radiofrequency tasks may include, but is not limited to, the duration of the radiofrequency tasks and descriptive data for the ablation phases corresponding to the historical radiofrequency tasks.

[0027] The characteristic change data of the operation site may include, but is not limited to, change data of at least one of the position, size, shape, volume, and area of ​​the operation site before and after each associated cauterization task is performed each time.

[0028] The server can periodically transmit a data acquisition request to the device in the radio frequency control system to acquire the device parameter data. Alternatively, the device in the radio frequency control system can report the parameter data set each time a radio frequency task is performed to the server in real time or periodically. Alternatively, the device in the radio frequency control system can report the parameter data set each time a radio frequency task is performed to the server in real time or periodically.

[0029] The server can acquire characteristic data of the subject of operation associated with each historical radio wave task in response to the user's input operation, and can also acquire an explanation file (e.g., an electronic prescription) of each historical radio wave task from another terminal (such as a computer terminal in each medical room), and then extract the characteristic data of the subject of operation associated with each radio wave task from the explanation file.

[0030] Step S202: Analyze the radio frequency operation data, obtain radio frequency parameter setting schemes respectively matching different types of operation subjects, and store them in a preset database.

[0031] Specifically, the operation subjects are classified according to the description data of each historical radio wave task, the characteristic data of the operation subjects related to each historical radio wave task, the characteristic change data of the operation parts of the related operation subjects, and the preset classification conditions. Next, the setting parameter data of each radio wave operation system and each radio wave operation data when performing the historical radio wave task are classified according to the type of the operation subjects related to the corresponding radio wave task, so that the radio wave parameter setting schemes matching different types of operation subjects and outputs are obtained and stored in the preset database. Here, the database may be located on a local server or on a server of another database. Step S203: In response to the triggered parameter setting command, a target type of the target operation subject designated by the parameter setting command is obtained.

[0032] Specifically, the parameter setting command may be triggered by the user pressing a preset physical button or virtual button. The target type of the target operation target specified by the parameter setting command may be input by the user; or other data input by the user, such as the characteristic data of the target operation target, may be automatically matched according to the above-mentioned preset classification conditions.

[0033] Step S204: Query the database according to the target type to obtain the parameter setting scheme, and set the radio frequency parameters of the target radio frequency operating system specified by the parameter setting command according to the target parameter setting scheme.

[0034] Here, the parameter setting command sets radiofrequency parameters of a specified target radiofrequency operation system, for example by sending a setting command to a device in the target radiofrequency operation system and corresponding setting parameter data of the device in the target parameter setting scheme, instructing the device to locally set the corresponding setting parameter data on the device, so that the device can recall the setting parameter data when the device performs the corresponding radiofrequency operation or task.

[0035] Of course, all parameter data called by all devices in a radiofrequency ablation system to perform the same ablation task may be combined into one ablation parameter setting scheme, or all parameter data called by one device in a radiofrequency ablation system to perform one ablation task may be combined into one ablation parameter setting scheme.

[0036] In this embodiment, by analyzing the radio frequency operation data of multiple historical radio frequency tasks, radio frequency parameter setting schemes matching different types of operation subjects are obtained and stored in a preset database, and then the database is used to obtain a target parameter setting scheme matching the target operation subject specified by the parameter setting command, and the radio frequency parameters of the target radio frequency operation system specified by the parameter setting command are set according to the target parameter setting scheme, thereby realizing automatic setting of system parameters based on big data, thereby reducing the difficulty of setting, simplifying the parameter setting operation, saving the setting time, and improving the setting efficiency, and since the database is based on a large amount of historical operation data, the possibility of referencing the setting results is increased.

[0037] Referring to Figure 3, there is shown an implementation flowchart of a method for processing radiofrequency ablation data provided by an embodiment of the present disclosure. The method may be implemented by a computer device such as the server 20 in Figure 1. For ease of description, they will be collectively referred to as the server hereinafter. As shown in Figure 3, the method specifically includes the following steps: Step S301: Obtain radio frequency operation data of a plurality of historical radio frequency tasks.

[0038] Specifically, each radio wave operation data includes explanatory data for each historical radio wave task, setting parameter data for each radio wave operation system when executing the historical radio wave task, characteristic data of the operating subject related to each historical radio wave task, and characteristic change data of the operating part of the related operating subject.

[0039] Here, the description data of the radiofrequency task includes the execution time of the radiofrequency task and description data of the ablation step corresponding to the radiofrequency task, for example the Nth radiofrequency task or the n-th ablation step.

[0040] The characteristic data of the relevant operation target includes the weight of the relevant operation target, a disease before performing the current radio wave task, at least one of blood pressure, heart rate, blood glucose level, blood lipid, lung capacity, and blood oxygen saturation within a preset duration, and age and sex. Here, the disease includes diseases other than the disease corresponding to the radio wave task, such as high blood pressure, high fever, and asthma.

[0041] The characteristic change data of the operation part includes change data of at least one of the size, shape, volume, and area of ​​the operation part before and after each associated radio frequency task is executed.

[0042] Here, the setting parameter data of the radiofrequency operation system when performing the historical radiofrequency task may include, but is not limited to, for example, the radiofrequency power, radiofrequency time, alarm value, the liquid perfusion amount, flow rate, perfusion time, alarm value, etc. of the infusion pump that are called when the radiofrequency unit controls the radiofrequency ablation catheter to perform the historical radiofrequency task. The radiofrequency unit, the radiofrequency ablation catheter, and the infusion pump each perform the radiofrequency task according to the corresponding parameter data.

[0043] The server can periodically transmit a data acquisition request to the device in the radio frequency control system to acquire the device parameter data. Alternatively, the device in the radio frequency control system can report the parameter data set each time a radio frequency task is performed to the server in real time or periodically. Alternatively, the device in the radio frequency control system can report the parameter data set each time a radio frequency task is performed to the server in real time or periodically.

[0044] The server can acquire characteristic data of the subject of operation associated with each historical radio wave task in response to the user's input operation, and can also acquire an explanation file (e.g., an electronic prescription) of each historical radio wave task from another terminal (such as a computer terminal in each medical room), and then extract the characteristic data of the subject of operation associated with each radio wave task from the explanation file.

[0045] As an option, acquiring feature change data of the operation part of the related operation target person specifically includes: obtaining result data for a plurality of imagings performed by a medical imaging device on the associated operating subject, the result data including an imaging time and an output image for each imaging; This includes performing image recognition on each of the videos, comparing the recognition results of each of the videos in order of the execution times, and acquiring feature change data of the operating part of the related operating subject.

[0046] Here, the medical imaging device may be, but is not limited to, an X-ray inspection machine or a CT (Computed Tomography) device. Specifically, the medical imaging device may report the imaging data obtained after each imaging task is performed or periodically during the imaging task to the server.

[0047] By identifying the image, feature data such as the size, shape, area, and volume of the operation site in the image can be obtained. The feature data of the acquired contrast images with different execution times can be compared in time series to obtain feature change data of the operation site before and after different contrast times, and the corresponding relationship between the execution time of the contrast and the execution time of the radio frequency task can be linked to obtain feature change data of the operation site before and after the execution of different radio frequency tasks.

[0048] In this way, by including other related equipment such as medical imaging equipment in the automatic analysis network of radio frequency operation data, automatic collection and correlation of related data can be realized, saving labor costs, shortening data collection time, and further improving the efficiency of data analysis.

[0049] Step S302: Classify the operation target according to the characteristic data of the related operation target, the explanation data of the historical radio wave task, the characteristic change data of the operation part, and preset classification conditions.

[0050] Specifically, the preset classification conditions are classification criteria. As shown in Table 1 below, according to the specific content of the radio frequency operation data, the classification criteria may include, but are not limited to, for example, age group, sex, disease before performing radio frequency task, cauterization stage, characteristic range of operation site, survival time range, etc. In practical application, one or more classification conditions may be preset according to the user's custom operation.

[0051] In this way, the operation targets are classified and different types of operation targets are distinguished according to the preset classification conditions, and then the radio frequency operation data is analyzed according to the classification results, so that the radio frequency parameter setting scheme obtained by the analysis can be more target-oriented and referable. JPEG0007676554000001.jpg64170

[0052] As shown in Table 1 above, a plurality of types of operation subjects are preset, and each type (such as type 1, type 2, etc.) corresponds to one or more classification conditions (such as age group, gender, etc.). The characteristic data of the operation subject in the radio frequency operation data of one historical radio frequency task, the explanatory data of the historical radio frequency task, and the characteristic change data of the operation part are compared with the classification conditions corresponding to each preset type, respectively, to determine the classification condition of the preset type best satisfied by the historical radio frequency task, and the preset type is set as the type to which the operation subject belongs, and the parameter data set during the execution of the historical radio frequency task (i.e., the setting parameter data in the radio frequency operation data) is associated with the preset type as one radio frequency parameter setting scheme.

[0053] (x, y, z) in the above Table 1 is the position coordinate of the operation site. Optionally, a two-dimensional or three-dimensional coordinate system is established with a specific vertex of the entire biological tissue where the operation site is located as the origin, and the coordinate of the center of gravity of the operation site in the two-dimensional or three-dimensional coordinate system is the position of the operation site. By using the coordinates, the positioning of the operation site can be made more accurate, and the accuracy of the analysis results can be further improved.

[0054] Of course, the above Table 1 is just an example, and in actual applications, the associated data table may have more or less content and may be represented in other formats.

[0055] Step S303: According to the classification result and the characteristic change data of the operation part, the setting parameter data is analyzed, and at least one set of target parameter data respectively matching the different types of operation subjects is obtained as the radio frequency parameter setting scheme, and stored in a preset database.

[0056] Specifically, first, according to the classification result of the operation target, classify the setting parameter data of each radio frequency operation system when performing each historical radio frequency task, so as to obtain at least one set of candidate parameter data corresponding to different types of operation target. Then, among the candidate parameter data, eliminate the parameter data whose characteristic change data of the operation part does not meet the preset change criterion, and obtain the at least one set of target parameter data as the radio frequency parameter setting scheme. The data finally obtained and stored in the database can be shown in Table 2 below. JPEG0007676554000002.jpg105170

[0057] Of course, the above Table 2 is just an example, and in actual application, the related data table may have more or less content and may be expressed in other forms. It is understood that the database is used to store the related relationships or correspondences between the data in the present disclosure and the related raw data. Alternatively, the database only stores the related relationships or correspondences and the storage links of the raw data, and the above raw data is stored in other database servers to reduce the load on the database and improve the query speed.

[0058] Here, the preset change criterion is used to evaluate the cauterization effect and may be an absolute or relative value. The change criterion may correspond to at least one of the characteristic change data of the operation site, for example, the size of the operation site needs to be reduced to a preset value (e.g., reduced to 0.01 cm), or the area of ​​the operation site needs to be reduced (e.g., reduced by 0.1 cm). The type and specific value of the preset change criterion may be set according to the user's customized operation.

[0059] Optionally, in another embodiment of the present disclosure, the method further includes setting an average value of the feature change data of all the operation sites to the preset change criterion.

[0060] That is, when the characteristic change of the operation part reaches the average change level of all operation parts, such as the area change reaches the average area change level, the size change reaches the average size change level, etc., the corresponding parameter data is retained. In this way, when the radiofrequency operation system executes the radiofrequency task, all the parameter data set in each device in the system is treated as one candidate scheme, and each candidate scheme is selected using the cauterization effect, thereby further improving the referability of the analysis result.

[0061] Optionally, in another embodiment of the present disclosure, the method further includes analyzing a normal distribution characteristic of the characteristic change data of the operation site, and setting an eigenvalue of the normal distribution obtained by the analysis as the preset change standard.

[0062] Specifically, the normal distribution has a bell-shaped curve with a high probability density in the middle and small probability density on both sides. The shape is determined by the parameters μ and σ. If a continuous random variable conforms to a normal distribution with a mean value of μ and a standard deviation of σ, it is expressed as X~N(μ,σ^2). Here, μ refers to the center position of the curve, and the maximum probability density generally appears near the mean value. By analyzing the normal distribution characteristics of the characteristic change data of the operation part, the eigenvalue with the highest probability of expressing the operation part as a normal change can be obtained, and the eigenvalue can be set as the change criterion of the preset, further improving the referability of the analysis results. Optionally, to improve the visibility of the parameter setting scheme in the database, in another embodiment of the present disclosure, the method further comprises:

[0063] The method includes periodically acquiring physiological change data of each of the associated operating subjects after completion of each of the associated historical radio frequency tasks, and selecting the target parameter data in the database in response to the physiological change data.

[0064] Here, the physiological change data can be periodically acquired through an intelligent physical examination device, which may be a home physical examination device or a physical examination device installed in various medical places, such as a smart watch, a smart bracelet and other smart wearable devices with blood pressure, heart rate and body temperature measurement functions, a smart blood glucose meter, a smart blood pressure monitor, a smart thermometer and the like with data transmission functions. The physiological change data includes at least one of body temperature, blood pressure, blood glucose level, heart rate, blood lipids, lung capacity, and blood oxygen saturation. Optionally, selecting target parameter data in the database in response to the physiological change data may specifically include:

[0065] The method includes obtaining a physiological abnormality change rate according to the physiological change data, and adjusting a storage state of the target parameter data in the database according to the physiological abnormality change rate and a preset ratio.

[0066] Here, the physiological abnormal change rate is the ratio of the number of operation subjects of the same type whose physiological data changes exceed the preset range after the associated radiofrequency task is performed to the total number of operation subjects of that type. For example, for operation subjects of type 1, the number of people whose blood pressure value continues to exceed the preset value for more than the preset duration after the associated radiofrequency task is performed is the ratio of the total number of operation subjects of type 1.

[0067] Adjusting the storage state of the target parameter data in the database specifically includes marking, in the database, parameter data among the target parameter data having a physiological abnormal change rate greater than the preset ratio as hidden, locked, or frozen, so that the parameter data cannot be queried by external devices, and marking, in the database, parameter data among the target parameter data having a physiological abnormal change rate equal to or less than the preset ratio as normal, so that the parameter data can be queried by external devices.

[0068] In this way, by using an intelligent physical examination device to monitor the physiological changes of each operating subject and dynamically adjusting the storage state of the radiofrequency parameter setting scheme stored in the database according to the monitoring data, the final radiofrequency parameter setting scheme becomes more target-oriented and accurate as the amount of data increases. Step S304: In response to the triggered parameter setting command, a target type of the target operation subject designated by the parameter setting command is obtained.

[0069] Specifically, the parameter setting command may be triggered by a user pressing a preset physical button or a virtual button. In response to the triggered parameter setting command, the target type of a target operation subject designated by the parameter setting command is obtained, feature data of the target operation subject and feature data of a part to be operated by the target operation subject are obtained, and the target type is determined according to the feature data of the target operation subject and the feature data of the part to be operated. Here, the description data for the radiofrequency task specified by the parameter setting command includes description data for the corresponding ablation step.

[0070] The characteristic data of the target operation subject includes the weight of the target operation subject, a disease prior to performing the current radio wave task, at least one of blood pressure, heart rate, blood glucose level, blood lipids, lung capacity, and blood oxygen saturation within a preset duration, as well as age and gender. The characteristic data of the part to be operated includes at least one of the size, shape, volume, and area of ​​the part to be operated.

[0071] The description data of the radiofrequency task specified by the above parameter setting command, the characteristic data of the target operation subject and the characteristic data of the body part to be operated by the target operation subject may be input by a user when triggering the parameter setting command, or may be obtained by querying a preset radiofrequency task information database according to the identification information of the radiofrequency task input by the user when triggering the parameter setting command. The radiofrequency task information database is arranged in a database server and is for storing the description data of the radiofrequency task to be performed, the characteristic data of the operation subject related to the radiofrequency task to be performed, and the characteristic data of the body part to be operated.

[0072] Step S305: Query the database according to the target type to obtain the parameter setting scheme, and set the radio frequency parameters of the target radio frequency operating system specified by the parameter setting command according to the target parameter setting scheme.

[0073] Here, the parameter setting command sets radiofrequency parameters of a specified target radiofrequency operation system, for example by sending a setting command to a device in the target radiofrequency operation system and corresponding setting parameter data of the device in the target parameter setting scheme, instructing the device to locally set the corresponding setting parameter data on the device, so that the device can recall the setting parameter data when the device performs the corresponding radiofrequency operation or task.

[0074] Optionally, after analyzing the radio frequency operation data, obtaining radio frequency parameter setting schemes respectively matching different types of operation subjects, and storing them in a preset database, the method further includes: obtaining data to be analyzed when a parameter analysis command is received; determining a classification to which the operation target person designated by the parameter analysis command belongs according to the data to be analyzed and the preset classification conditions; searching the database for parameter data matching the classification as reference data; The method includes performing a feasibility analysis on the parameter data to be set in accordance with the reference data, and outputting the analysis result.

[0075] Specifically, a parameter analysis command can be sent from another terminal to the server in response to a user's operation. When the other terminal sends the parameter analysis command to the server, the data to be analyzed input by the user or a storage link of the data to be analyzed can be sent to the server.

[0076] Here, the data to be analyzed includes characteristic data of the operating subject and the operating part specified by the parameter analysis command, explanatory data of the radio frequency task to be executed, and parameter data to be set.

[0077] The characteristic data of the subject of operation specified by the parameter analysis command includes at least one of the subject's weight, illness prior to performing the current radio frequency task, blood pressure within a preset duration, heart rate, blood glucose level, blood lipids, lung capacity, and blood oxygen saturation, as well as age and gender. The characteristic change data of the operation part specified by the parameter analysis command includes at least one of the size, shape, volume, and area of ​​the operation part. The descriptive data for the radio frequency task to be performed specified by the parameter analysis command includes descriptive data for the corresponding ablation step.

[0078] The steps of determining the classification of the target user specified by the parameter analysis command according to the data to be analyzed and the preset classification conditions, and searching the database for parameter data matching the classification as reference data, are similar to steps S302 and S303 above, and details can be found by referring to the relevant explanations of steps S302 and S303, so they will not be repeated here.

[0079] Specifically, performing a feasibility analysis on the parameter data to be set according to the reference data includes comparing the reference data with the parameter data to be set to determine whether the difference between the two is smaller than a preset difference range, and if the difference is smaller than the preset difference range, determining that the corresponding parameter data to be set is feasible, but if not, determining that the corresponding parameter data to be set is not feasible.

[0080] The analysis result includes explanatory information as to whether the parameter data to be set is feasible or not, and may also include reference data corresponding to the parameter data to be set that is not feasible.

[0081] For example, assume that the parameter data to be set includes the irrigation rate and irrigation duration of the injection pump, and the power and ablation duration of the radiofrequency ablation catheter, and here, according to the reference data obtained by query, if the irrigation rate and irrigation duration of the injection pump in the parameter data to be set are feasible, but the power and ablation duration of the radiofrequency ablation catheter are not feasible, the analysis result may include, in addition to explanatory information on whether it is feasible, the reference data of the power and ablation duration of the radiofrequency ablation catheter for the user's reference.

[0082] In this way, by using the above database to analyze the setting parameter data of the radiofrequency task to be executed, the accuracy of the parameter settings of the radiofrequency ablation system can be improved and a better ablation effect can be achieved.

[0083] Optionally, after analyzing the radio frequency operation data, obtaining radio frequency parameter setting schemes respectively matching different types of operation subjects, and storing them in a preset database, the method further includes: When receiving a scheme query request, obtaining data to be queried; The method includes combining a plurality of data in the data to be queried, querying the database according to the combination result and the preset classification condition, and obtaining and outputting a plurality of radio frequency parameter setting schemes matching the data to be queried.

[0084] Here, the data to be referenced includes characteristic data and historical operation information of the operation target person to be referenced and the operation part to be referenced, which are specified by the scheme reference request.

[0085] Combining multiple data in the data to be queried, for example, assuming that the data to be queried includes age, sex, and the size of the queried part, combine three kinds of data to obtain four combination results: age + sex, sex + the size of the queried part, age + the size of the queried part, and age + sex + the size of the queried part. Then, using these four combination results as keywords, compare the data corresponding to these four combination results with the above-mentioned preset classification conditions, obtain the classification condition that best satisfies the data corresponding to these four combination results, and use the radiofrequency parameter setting scheme that matches the type of the operation target corresponding to the best satisfied classification condition as the query result.

[0086] Specifically, querying the database according to the combination result and the preset classification condition, and obtaining and outputting a plurality of radio frequency parameter setting schemes that match the query data.

[0087] Querying the database according to the combination result and the preset classification condition to obtain a plurality of radio frequency parameter setting schemes matching the query data; The method includes selecting a plurality of queried radiofrequency parameter setting schemes according to the survival time, the characteristic change data of the operation site, and the preset radiofrequency result indicators, and eliminating radiofrequency parameter setting schemes that do not meet the preset radiofrequency result indicators.

[0088] As a result of the selection, the remaining radio frequency parameter setting schemes are output.

[0089] Here, the characteristic data of the subject to be queried includes at least one of the subject's weight, illness prior to performing the current radio wave task, blood pressure within a preset duration, heart rate, blood glucose level, blood lipids, lung capacity, and blood oxygen saturation, as well as age and gender. The characteristic data of the operation part to be checked includes at least one of the size, shape, volume, and area of ​​the operation part to be checked. The historical operation information includes the historical number of times the cauterization operation has been performed on the operation target person to be referred to.

[0090] The preset radiofrequency result indicators include the corresponding ablation times, the reference change range values ​​of the size, shape, volume and area of ​​the operation site after radiofrequency, and the reference survival time, for example, to exclude radiofrequency parameter setting schemes with survival time of less than two years after one radiofrequency operation.

[0091] In this way, it can be seen that the preset radio frequency result indicators can eliminate schemes with poor radio frequency effects from all found radio frequency parameter setting schemes, thereby further improving the viewability and directionality of the search results.

[0092] It is understood that various similar data according to the present embodiment are obtained in the same or similar manner and may be referenced to one another unless expressly stated otherwise.Similarly, the implementation of similar steps may be used as references to one another even if not expressly stated otherwise.

[0093] In this embodiment, by analyzing the radio frequency operation data of multiple historical radio frequency tasks, radio frequency parameter setting schemes matching different types of operation subjects are obtained and stored in a preset database, and then the database is used to obtain a target parameter setting scheme matching the target operation subject specified by the parameter setting command, and the radio frequency parameters of the target radio frequency operation system specified by the parameter setting command are set according to the target parameter setting scheme, thereby realizing automatic setting of system parameters based on big data, thereby reducing the difficulty of setting, simplifying the parameter setting operation, saving the setting time, and improving the setting efficiency, and since the database is based on a large amount of historical operation data, the possibility of referencing the setting results is increased.

[0094] Referring to Fig. 4, there is shown a schematic diagram of the structure of a radio frequency parameter setting device provided by an embodiment of the present disclosure. For the purpose of illustration, only parts related to the embodiment of the present disclosure are shown. The device may be the server shown in Fig. 1, or a software module installed in the server. The device includes a first acquisition module 401, an analysis module 402, a second acquisition module 403, and a setting module 404.

[0095] The first acquisition module 401 is for acquiring radio wave operation data of a plurality of historical radio wave tasks, including explanatory data of each historical radio wave task, setting parameter data of each radio wave operation system when executing the historical radio wave task, characteristic data of the operating subject related to each historical radio wave task, and characteristic change data of the operating part of the related operating subject.

[0096] The analysis module 402 is for analyzing the radio frequency operation data to obtain radio frequency parameter setting schemes respectively matching different types of operation subjects.

[0097] The second acquisition module 403 is for acquiring, in response to a triggered parameter setting command, the target type of the target operation subject designated by the parameter setting command.

[0098] The setting module 404 is for querying the database according to the target type to obtain the parameter setting scheme, and setting the radio frequency parameters of the target radio frequency operating system specified by the parameter setting command according to the target parameter setting scheme.

[0099] Optionally, the analysis module 402 is also for classifying the operation subject according to the associated operation subject's characteristic data history, radio frequency task description data, operation site characteristic change data, and preset classification conditions, and for analyzing the setting parameter data according to the classification result and the preset change criteria of the operation site, and obtaining at least one set of target parameter data matching different types of operation subjects as a radio frequency parameter setting scheme.

[0100] The analysis module 402 further classifies the setting parameter data according to the classification result to obtain at least one set of candidate parameter data respectively corresponding to different types of operation targets; This is also for the purpose of eliminating parameter data whose characteristic change data of the operation portion does not satisfy the preset change criterion from among the candidate parameter data, and obtaining at least one set of target parameter data as a radiofrequency parameter setting scheme.

[0101] The analysis module 402 is also for setting the average value of the feature change data of each operation part as a preset change criterion. The first acquisition module 401 is further for periodically acquiring physiological change data of each associated operating subject after each associated historical radio frequency task is completed. The analysis module 402 is further for filtering target parameter data in the database as a function of the physiological change data.

[0102] The analysis module 402 is further for automatically obtaining a physiological abnormality change rate according to physiological change data including at least one of body temperature, blood pressure, blood glucose level, heart rate, blood lipids, lung capacity and blood oxygen saturation, and for adjusting the storage state of the target parameter data in the database according to the ratio between the physiological change data and a preset.

[0103] The first acquisition module 401 is further for acquiring result data of multiple imagings performed by the medical imaging device on the associated operating subject, including the execution time and output image of each imaging.

[0104] The analysis module 402 further performs image recognition on each video, compares the recognition results of each video in the order of each execution time, and obtains characteristic change data of the operating part of the related operating target person.

[0105] The analysis module 402 further obtains data to be analyzed when receiving a parameter analysis command, the data including characteristic data of the operation target and operation part specified by the parameter analysis command, description data of the radio frequency task to be executed, and parameter data to be set; determining a classification of the operating subject designated by the parameter analysis command according to the data to be analyzed; Searching the database for parameter data matching the classification as the reference data; This is also for performing feasibility analysis on the parameter data to be set according to the reference data, and outputting the analysis results.

[0106] Further, the characteristic data of the relevant operating subject includes the weight of the relevant operating subject, a disease prior to performing the current radio frequency task, at least one of blood pressure, heart rate, blood glucose level, blood lipids, lung capacity, blood oxygen saturation within a preset duration, and age and gender. The descriptive data for the historical radiofrequency task includes a duration of the historical radiofrequency task and descriptive data for the ablation phase corresponding to the historical radiofrequency task.

[0107] The characteristic change data of the operation part includes change data of at least one of the size, shape, volume, and area of ​​the operation part before and after each associated radio frequency task is performed.

[0108] The second acquisition module 403 further acquires explanatory data for the radio wave task specified by the parameter setting command, characteristic data of the target operation subject, and characteristic data of the part of the body to be operated by the target operation subject, and determines a target type according to the characteristic data of the target operation subject and the characteristic data of the part of the body to be operated. Additionally, the description data for the radiofrequency task specified by the parameter setting command includes description data for the corresponding ablation step.

[0109] The characteristic data of the target operation subject includes the target operation subject's weight, illness prior to performing the current radio frequency task, at least one of blood pressure, heart rate, blood glucose level, blood lipids, lung capacity, and blood oxygen saturation within a preset duration, as well as age and gender. The characteristic data of the region to be operated includes at least one of the size, shape, volume, and area of ​​the region to be operated.

[0110] The analysis module 402 further obtains data to be queried, including characteristic data and historical operation information of the operation target and the operation part to be queried specified by the scheme query request, when receiving a scheme query request, combines multiple data in the data to be queried, queries the database according to the combination result and preset classification conditions, and obtains and outputs multiple radio frequency parameter setting schemes matching the data to be queried.

[0111] The analysis module 402 further queries the database according to the combination result and preset classification conditions to obtain multiple radiofrequency parameter setting schemes matching the data to be queried, and selects the queried multiple radiofrequency parameter setting schemes according to the survival time, the characteristic change data of the operation site, and the preset radiofrequency result indexes, and outputs the selection result.

[0112] The characteristic data of the subject to be queried includes the weight of the subject to be queried, illnesses prior to performing the current radio wave task, at least one of blood pressure, heart rate, blood glucose level, blood lipids, lung capacity, and blood oxygen saturation within a preset duration, as well as age and gender. The characteristic change data of the operation part to be inquired includes at least one of the size, shape, volume, and area of ​​the operation part to be inquired. The historical operation information includes the historical number of radio frequency operations performed on the operation target person to be inquired.

[0113] The preset radiofrequency outcome indicators include the corresponding number of radiofrequency waves, baseline change range values ​​of the size, shape, volume and area of ​​the operation site after radiofrequency waves, and baseline survival time.

[0114] The specific process by which each of the above modules achieves its respective functions can be referred to in the relevant contents in the embodiments shown in FIG. 2 and FIG. 3, and will not be repeated here.

[0115] In this embodiment, by analyzing the radio frequency operation data of multiple historical radio frequency tasks, radio frequency parameter setting schemes matching different types of operation subjects are obtained and stored in a preset database, and then the database is used to obtain a target parameter setting scheme matching the target operation subject specified by the parameter setting command, and the radio frequency parameters of the target radio frequency operation system specified by the parameter setting command are set according to the target parameter setting scheme, thereby realizing automatic setting of system parameters based on big data, thereby reducing the difficulty of setting, simplifying the parameter setting operation, saving the setting time, and improving the setting efficiency, and since the database is based on a large amount of historical operation data, the possibility of referencing the setting results is increased.

[0116] Referring to Fig. 5, a schematic diagram of a hardware structure of an electronic device provided according to an embodiment of the present disclosure. As shown in Fig. 5, an electronic device 60 includes a network interface 61, a processor 62, a memory 63, a computer program 64 stored in the memory 63 and executed in the processor 62, and a system bus 65. The system bus 65 is for connecting the network interface 61, the processor 62, and the memory 63. When the processor 62 executes the computer program 64, the radio frequency parameter setting method in each of the above-mentioned embodiments is realized. The network interface 61 is for communicating with other electronic devices.

[0117] Illustratively, the processor 62 may be a Central Processing Unit (CPU) or other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc. A general purpose processor may be a microprocessor, the processor may be any conventional processor, etc.

[0118] Exemplarily, the memory 63 may be, for example, a hard disk drive memory, a non-transient memory, a non-volatile memory (such as a flash memory or a memory with electronically programmable restrictions removed to form a solid-state drive), a volatile memory (such as a static or dynamic random access memory), etc., and is not limited in the embodiments of the present disclosure. The memory 63 may include both an internal memory unit of the electronic device 60 and an external storage device. The memory 63 is for storing computer programs and other programs and data required by the electronic device 60. The memory 63 is also for temporarily storing data that has been output or is to be output.

[0119] Exemplarily, the computer program 64 can be divided into one or more modules / units, which are stored in the memory 63 and executed by the processor 62 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments that can realize a specific function. The instruction segments are for explaining the execution process of the computer program 64 in the electronic device 60. For example, the computer program 64 can be divided into a first acquisition module 401, an analysis module 402, a second module 403 and a setting module 404. The specific functions of the above modules are as follows:

[0120] The first acquisition module 401 is for acquiring radio wave operation data of a plurality of historical radio wave tasks, including explanatory data of each historical radio wave task, setting parameter data of each radio wave operation system when executing the historical radio wave task, characteristic data of the operating subject related to each historical radio wave task, and characteristic change data of the operating part of the related operating subject.

[0121] The analysis module 402 is for analyzing the radio frequency operation data to obtain radio frequency parameter setting schemes respectively matching different types of operation subjects.

[0122] The second acquisition module 403 is for acquiring, in response to a triggered parameter setting command, the target type of the target operation subject designated by the parameter setting command.

[0123] The setting module 404 is for querying the database according to the target type to obtain the parameter setting scheme, and setting the radio frequency parameters of the target radio frequency operating system specified by the parameter setting command according to the target parameter setting scheme. Optionally, the computer program 64 may be divided into other modules as described in the radiofrequency parameter setting device above.

[0124] The specific processes by which the above functional modules achieve their respective functions can be referred to the relevant descriptions in the embodiment shown in FIG. 4 above, and will not be repeated here. Additionally, the memory 63 also stores device drivers, which may be network and interface drivers.

[0125] Those skilled in the art will appreciate that Figure 5 is merely an example of the present electronic device 60 and does not constitute a limitation on the electronic device 60, and that in an actual application, there may be more or fewer components than those shown in the figure, or a combination of certain components, or different components. For example, the electronic device 60 may include input / output devices (such as a keyboard, a microphone, a camera, a speaker, a display, etc.).

[0126] Further, as shown in Fig. 6, an embodiment of the present disclosure provides a radiofrequency parameter setting system. For the sake of explanation, only parts related to the embodiment of the present disclosure are shown. The radiofrequency parameter setting system includes a plurality of radiofrequency operation systems 701 (only one is shown in Fig. 6 for ease of understanding), a parameter setting device 702, and a database server 703.

[0127] Here, the radiofrequency operation system 701 includes a radiofrequency unit 7011, a radiofrequency ablation catheter 7012, an indifferent electrode 7013, and an infusion pump 7014. The database server 703 may be a single server or a distributed server cluster consisting of multiple servers. The parameter setting device 702 is for performing each step in the radio frequency parameter setting method provided in the embodiment shown in the above-mentioned FIG. 2 and FIG.

[0128] The database server 703 is for storing various databases according to the embodiments shown in Figures 2 and 3, and for providing data query services based on these databases to the parameter setting device 702 and each device in the radio frequency operation system 701.

[0129] The specific processes for achieving the respective functions of the radio frequency operation system 701, the parameter setting device 702, and the database server 703 can refer to the relevant descriptions in the embodiments shown in Figures 1 to 5, so they will not be repeated here.

[0130] In this embodiment, by analyzing the radio frequency operation data of multiple historical radio frequency tasks, radio frequency parameter setting schemes matching different types of operation subjects are obtained and stored in a preset database, and then the database is used to obtain a target parameter setting scheme matching the target operation subject specified by the parameter setting command, and the radio frequency parameters of the target radio frequency operation system specified by the parameter setting command are set according to the target parameter setting scheme, thereby realizing automatic setting of system parameters based on big data, thereby reducing the difficulty of setting, simplifying the parameter setting operation, saving the setting time, and improving the setting efficiency, and since the database is based on a large amount of historical operation data, the possibility of referencing the setting results is increased.

[0131] Furthermore, the embodiment of the present disclosure further provides a computer-readable storage medium, which may be disposed in the electronic device in the above-mentioned embodiment, and the computer-readable storage medium may be the storage and processing circuit 300 in the embodiment shown in Fig. 5 above. The computer-readable storage medium stores a computer program, which, when executed by a processor, realizes the radio frequency parameter setting method described in the above-mentioned embodiment. Furthermore, the computer-readable storage medium may be various media that can store program code, such as a flash disk, a mobile hard disk, a read-only memory (ROM), a RAM, a magnetic disk, or an optical disk.

[0132] In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method can be implemented in other ways. For example, the above-mentioned apparatus embodiments are merely exemplary. For example, the division of modules is merely a division of logical functions, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not implemented. Furthermore, the shown or discussed mutual couplings or direct couplings or communication connections may be indirect couplings or communication connections through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0133] Network Modules Modules described as separate components may or may not be physically separated, and components shown as modules may or may not be physical modules, i.e., located in one location or distributed across multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

[0134] In addition, each functional module according to each embodiment of the present disclosure may be integrated into one processing module, each module may exist physically alone, or two or more modules may be integrated into one module. The integrated modules can be realized in the form of hardware or software functional modules.

[0135] The above-mentioned integrated module can be realized in the form of a software function module and stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present disclosure can be embodied in the form of a software product, either essentially or in part contributing to the prior art, or in whole or in part, and the computer software product includes a number of instructions stored in a readable storage medium to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in each embodiment of the present disclosure. The above-mentioned readable storage medium includes a medium capable of storing various program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

[0136] In addition, for the embodiments of the above-mentioned methods, they are expressed as a combination of a series of operations for ease of explanation, but those skilled in the art should recognize that the present disclosure is not limited by the order of operations described. This is because, according to the present disclosure, some steps may be performed in other orders or simultaneously. Next, those skilled in the art should also note that the embodiments described in the description are preferred embodiments, and the operations and modules involved are not necessarily required for the present disclosure.

[0137] In the above embodiments, the description of each embodiment has its own emphasis, so that the parts not described in detail in one embodiment can be referred to the relevant descriptions of other embodiments.

[0138] The above describes the radio frequency parameter setting method, device, system, and computer-readable storage medium provided by the present disclosure. However, for those skilled in the art, specific embodiments and scope of application may vary according to the concept of the embodiments of the present disclosure. In summary, the contents of this specification should not be understood as limitations on the present disclosure.

Claims

1. 1. A radio frequency parameter setting method applied to a computer device, the method comprising: Acquiring radio frequency operation data for a plurality of historical radio frequency tasks, including explanatory data for each historical radio frequency task, setting parameter data for each radio frequency operation system when executing each of the historical radio frequency tasks, characteristic data of an operation subject related to each of the historical radio frequency tasks, and characteristic change data of an operation part of the related operation subject; Analyzing the radio frequency operation data to obtain radio frequency parameter setting schemes respectively corresponding to different types of operation subjects, and storing the schemes in a preset database; In response to a triggered parameter setting command, acquiring a target type of a target operation subject designated by the parameter setting command; querying the database according to the target type to obtain a target parameter setting scheme; and setting radio frequency parameters of the target radio frequency operating system specified by the parameter setting command according to the target parameter setting scheme; A plurality of types of operation targets and a plurality of classification conditions are preset, and one preset type corresponds to one or more preset classification conditions; Analyzing the radio frequency operation data and obtaining radio frequency parameter setting schemes respectively matching different types of operation subjects, comparing the description data of each of the historical radio wave tasks, the characteristic data of the operating subject related to each of the historical radio wave tasks, and the characteristic change data of the operating part of the operating subject related to each of the historical radio wave tasks with classification conditions corresponding to each of the preset types, and determining the type to which each of the historical radio wave tasks belongs; A type to which each of the historical radio wave tasks belongs is determined to be a type to which an operation target related to each of the historical radio wave tasks belongs; Classifying the setting parameter data of each radio frequency operation system when performing each of the historical radio frequency tasks, so as to obtain at least one set of candidate parameter data corresponding to each of the different types of operation subjects according to the type to which the operation subjects related to each of the historical radio frequency tasks belong; Among the at least one set of candidate parameter data, excluding parameter data whose characteristic change data of the operation portion does not satisfy a preset change criterion, and obtaining at least one set of target parameter data as the radiofrequency parameter setting scheme; Each of the historical radio frequency tasks best satisfies a classification condition corresponding to the type to which each of the historical radio frequency tasks belongs; The plurality of classification conditions include a plurality of classification conditions selected from a preset age group, a gender, a disease before performing a radiofrequency task, an ablation stage, a characteristic range of an operation site, and a survival time range; A radiofrequency parameter setting method, characterized in that the disease before performing the radiofrequency task includes a disease other than the disease corresponding to the radiofrequency task.

2. The method further comprises: Setting the average value of the characteristic change data of each of the operation parts as the preset change standard; or The method according to claim 1 , further comprising: analyzing a normal distribution characteristic of the characteristic change data of the operation part; and setting an eigenvalue of the normal distribution obtained by the analysis as the preset change standard.

3. After analyzing the radio frequency operation data, obtaining radio frequency parameter setting schemes respectively matching different types of operation subjects, and storing them in a preset database, the method further comprises: Periodically acquiring physiological change data of the subject related to each of the historical radio wave tasks after the end of each of the historical radio wave tasks, and acquiring a physiological abnormality change rate according to the physiological change data, the physiological change data including at least one of body temperature, blood pressure, blood glucose level, heart rate, blood lipids, lung capacity, and blood oxygen saturation, in response to the physiological change data; Marking, in the database, the parameter data among the target parameter data having a physiological abnormality rate of change greater than a preset ratio as hidden, locked, or frozen, so that an external device cannot query the parameter data having a physiological abnormality rate of change greater than the preset ratio; marking, in the database, parameter data among the target parameter data having a physiological abnormality rate of change equal to or less than the preset ratio as normal, and allowing the external device to query the parameter data having a physiological abnormality rate of change equal to or less than the preset ratio; The method of claim 1, wherein the physiological abnormal change rate is a ratio of the number of operating subjects of the same type whose physiological data changes exceed a preset range after an associated radiofrequency task is performed to the total number of operating subjects of the same type.

4. The acquiring of the feature change data of the operation part of the related operation target person includes: obtaining result data for a plurality of imagings performed by a medical imaging device on the relevant subject, the result data including an imaging time and an output image for each of the imagings; The method according to claim 1, further comprising: performing image recognition on each of the images, comparing the identification results of each of the images in order of the execution times, and obtaining characteristic change data of the operating part of the relevant operating subject.

5. The method further comprises: When receiving a parameter analysis command, acquiring data to be analyzed, including characteristic data of an operating target and an operating part designated by the parameter analysis command, explanatory data of a radio frequency task to be executed, and parameter data to be set; determining a classification of an operating target person designated by the parameter analysis command according to the data to be analyzed; searching the database for parameter data matching the classification as reference data; performing a feasibility analysis on the parameter data to be set according to the reference data, and outputting an analysis result; 2. The method according to claim 1, wherein the analysis result includes explanatory information as to whether the parameter data to be set is feasible or not, and reference data corresponding to the parameter data to be set that is not feasible.

6. The characteristic data of the operation target includes at least one of the weight of the operation target, a disease before performing the current radio wave task, blood pressure within a preset duration, a heart rate, a blood glucose level, a blood lipid level, a lung capacity, and a blood oxygen saturation level, as well as an age and a sex of the operation target; the description data of the historical radiofrequency task includes a duration of the historical radiofrequency task and a description data of an ablation step corresponding to the historical radiofrequency task; The method according to claim 1, wherein the characteristic change data of the operation part includes change data of at least one of the size, shape, volume, and area of ​​the operation part before and after an associated radio frequency task is performed.

7. The acquiring of a target type of the target operation subject designated by the parameter setting command includes: Obtaining explanation data for the radio frequency task designated by the parameter setting command, characteristic data of the target operation subject, and characteristic data of a body part to be operated by the target operation subject; The method according to claim 1 , further comprising determining the target type in accordance with characteristic data of the target operation subject and characteristic data of the body part to be operated.

8. The method further comprises: the radiofrequency task description data specified by the parameter setting instructions includes description data for a corresponding ablation step; The characteristic data of the target operation subject includes at least one of the weight of the target operation subject, a disease before performing the current radio wave task, blood pressure within a preset duration, a heart rate, a blood glucose level, a blood lipid level, a lung capacity, and a blood oxygen saturation level, as well as age and sex; The method according to claim 7 , wherein the characteristic data of the region to be manipulated includes at least one of a size, a shape, a volume, and an area of ​​the region to be manipulated.

9. The method further comprises: When receiving a scheme inquiry request, acquiring data to be queried including characteristic data of an operation target person to be queried and an operation part to be queried, which are specified by the scheme inquiry request; Combining a plurality of data in the data to be referenced, comparing data corresponding to the combination result with the plurality of preset classification conditions, and obtaining a classification condition that best satisfies the data to be referenced; 7. The method according to claim 6, further comprising: querying the database according to the most satisfying classification condition, and obtaining and outputting a plurality of radio frequency parameter setting schemes matching the query data.

10. The data to be queried further includes historical operation information, and querying the database according to the most satisfying classification condition, and obtaining and outputting a plurality of radio frequency parameter setting schemes that match the data to be queried, querying the database according to the best-satisfied classification condition to obtain a plurality of radio frequency parameter setting schemes matching the best-satisfied classification condition; Filtering the queried multiple radiofrequency parameter setting schemes, eliminating the radiofrequency parameter setting schemes that do not meet the preset radiofrequency result indicators, and outputting the remaining radiofrequency parameter setting schemes as multiple radiofrequency parameter setting schemes that match the queried data; The characteristic data of the operation subject to be inquired includes at least one of the weight of the subject to be inquired, a disease before performing the current radio wave task, blood pressure within a preset duration, heart rate, blood glucose level, blood lipids, lung capacity, and blood oxygen saturation, as well as age and sex; the characteristic data of the operation part to be referenced includes at least one of a size, a shape, a volume, and an area of ​​the operation part to be referenced; The historical operation information includes a history of the number of cauterization operations performed on the operation target person to be referred to, The method according to claim 9, characterized in that the preset radiofrequency result indicators include baseline change range values ​​of size, shape, volume and area of ​​the operation site after radiofrequency for corresponding ablation times or ablation stages, and baseline survival time.

11. A radio frequency parameter setting device, comprising: a first acquisition module for acquiring radio frequency operation data of a plurality of the historical radio frequency tasks, the radio frequency operation data including description data of each historical radio frequency task, setting parameter data of each radio frequency operation system when executing the historical radio frequency task, characteristic data of an operation subject related to each of the historical radio frequency tasks, and characteristic change data of an operation part of the operation subject related to each of the historical radio frequency tasks; an analysis module for analyzing the radio frequency operation data, obtaining radio frequency parameter setting schemes respectively corresponding to different types of operation subjects, and storing the obtained schemes in a preset database; a second acquisition module for acquiring a target type of a target operation subject designated by a triggered parameter setting command in response to the triggered parameter setting command; a setting module for querying the database according to the target type to obtain a target parameter setting scheme, and setting radio frequency parameters of the target radio frequency operating system specified by the parameter setting command according to the target parameter setting scheme; A plurality of types of operation targets and a plurality of classification conditions are preset, and one preset type corresponds to one or more preset classification conditions; Analyzing the radio frequency operation data and obtaining radio frequency parameter setting schemes respectively matching different types of operation subjects, comparing the description data of each of the historical radio wave tasks, the characteristic data of the operating subject related to each of the historical radio wave tasks, and the characteristic change data of the operating part of the operating subject related to each of the historical radio wave tasks with classification conditions corresponding to each of the preset types, and determining the type to which each of the historical radio wave tasks belongs; A type to which each of the historical radio wave tasks belongs is determined to be a type to which an operation target related to each of the historical radio wave tasks belongs; Classifying the setting parameter data of each radio frequency operation system when performing each of the historical radio frequency tasks, so as to obtain at least one set of candidate parameter data corresponding to each of the different types of operation subjects according to the type to which the operation subjects related to each of the historical radio frequency tasks belong; Among the at least one set of candidate parameter data, excluding parameter data whose characteristic change data of the operation portion does not satisfy a preset change criterion, and obtaining at least one set of target parameter data as the radiofrequency parameter setting scheme; Each of the historical radio frequency tasks best satisfies a classification condition corresponding to the type to which each of the historical radio frequency tasks belongs; The plurality of classification conditions include a plurality of classification conditions selected from a preset age group, a gender, a disease before performing a radiofrequency task, an ablation stage, a characteristic range of an operation site, and a survival time range; A radiofrequency wave parameter setting device, characterized in that the disease before the radiofrequency wave task is performed includes a disease other than the disease corresponding to the radiofrequency wave task.

12. 1. An electronic device comprising: It has memory and a processor. The memory stores executable program code; 11. An electronic device, characterized in that the processor coupled to the memory is adapted to call the executable program code stored in the memory and execute the radio frequency parameter setting method according to any one of claims 1 to 10.

13. A radio frequency parameter setting system, comprising: a plurality of radio frequency operation systems, a parameter setting device, and a database server; The radiofrequency operation system includes a radiofrequency unit, a radiofrequency ablation catheter, an indifferent electrode, and an infusion pump; 11. A radiofrequency wave parameter setting system, characterized in that the parameter setting device is for executing each step of the radiofrequency wave parameter setting method according to any one of claims 1 to 10.

14. 11. A computer-readable storage medium having a computer program stored thereon, the computer program being adapted to execute the radio frequency parameter setting method according to any one of claims 1 to 10 when executed by a processor.

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