A radiofrequency ablation system, method, device, and medium

Abstract

The application discloses a radio frequency ablation system, method, device and medium. The radio frequency ablation system comprises a real-time control module, a radio frequency signal transmitting module and a data acquisition module. The real-time control module is used for establishing a graphical simulation control model, adjusting the graphical simulation control model according to real-time setting evaluation data to obtain a target simulation control model, inputting a preset ablation signal and a real-time ablation signal in the real-time setting evaluation data into the target simulation control model to obtain a radio frequency ablation adjustment instruction, and inputting the radio frequency ablation adjustment instruction into the radio frequency signal transmitting module. The radio frequency signal transmitting module is used for determining a radio frequency analog signal to be transmitted to an ablation object according to the radio frequency ablation adjustment instruction. The data acquisition module is used for collecting real-time setting evaluation data of the ablation object when the radio frequency signal transmitting module transmits the radio frequency analog signal to the ablation object, and transmitting the real-time setting evaluation data to the real-time control module. The technical scheme of the embodiment of the application realizes rapid setting of ablation parameters under low learning cost, reduces a research and development cycle of parameter setting and data maintenance difficulty.

Description

Technical Field

[0001] This invention relates to the field of radiofrequency ablation technology, and in particular to a radiofrequency ablation system, method, device and medium. Background Technology

[0002] Radiofrequency ablation is a common technique in minimally invasive surgery. It ablates lesions by delivering radiofrequency energy to a target site. Ensuring the safety of the non-ablation areas while maintaining the ablation effect during the ablation process makes precise control of radiofrequency energy a key technical challenge in radiofrequency ablation.

[0003] To achieve precise control of radio frequency output energy, it is necessary to conduct continuous in vitro experiments. After completing multiple in vitro experiments, technicians need to adjust the parameters of the radio frequency ablation device based on the in vitro experiments and experience, or adjust the parameters based on parameter adjustment control algorithms built using complex programming languages ​​(such as C language).

[0004] Manual parameter tuning requires technicians to have extensive experience in parameter tuning, resulting in a high learning cost. On the other hand, parameter tuning based on parameter adjustment and control algorithms built with complex programming languages ​​has long development cycles and data maintenance difficulties, which cannot meet the current need for rapid parameter tuning in radiofrequency ablation. Summary of the Invention

[0005] This invention provides a radiofrequency ablation system, method, device, and medium that enables rapid tuning of ablation parameters with low learning costs, reducing the R&D cycle of parameter tuning and the difficulty of data maintenance.

[0006] According to one aspect of the present invention, a radiofrequency ablation system is provided, comprising a real-time control module, a radiofrequency signal transmission module, and a data acquisition module, wherein,

[0007] The real-time control module is communicatively connected to both the radio frequency signal transmission module and the data acquisition module.

[0008] The real-time control module is used to build a graphical simulation control model and adjust the graphical simulation control model according to the real-time tuning evaluation data to obtain the target simulation control model; the preset ablation signal and the real-time ablation signal in the real-time tuning evaluation data are input into the target simulation control model to obtain the radio frequency ablation adjustment command, and the radio frequency ablation adjustment command is sent to the radio frequency signal transmission module;

[0009] The radio frequency signal transmission module is used to determine the radio frequency analog signal to be sent to the ablation object according to the radio frequency ablation adjustment command;

[0010] The data acquisition module is used to acquire real-time tuning and evaluation data of the ablation object when the radio frequency signal transmission module sends radio frequency analog signals to the ablation object, and send the real-time tuning and evaluation data to the real-time control module.

[0011] According to another aspect of the present invention, a radiofrequency ablation method is provided, comprising:

[0012] A graphical simulation control model is built, and the graphical simulation control model is adjusted according to real-time tuning and evaluation data to obtain the target simulation control model;

[0013] The preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data are input into the target simulation control model to obtain the radio frequency ablation adjustment command. The radio frequency ablation adjustment command is then sent to the radio frequency signal transmission module, which determines the radio frequency analog signal to be sent to the ablation target based on the radio frequency ablation adjustment command.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] At least one processor; and

[0016] A memory that is communicatively connected to at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the radiofrequency ablation method of any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute and implement the radio frequency ablation method of any embodiment of the present invention.

[0019] In this embodiment of the invention, a radio frequency ablation system is composed of a real-time control module, a radio frequency signal transmission module, and a data acquisition module. The real-time control module builds a graphical simulation control model and adjusts the graphical simulation control model according to real-time tuning evaluation data to obtain a target simulation control model. Then, the preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data are input to the target simulation control model to obtain a radio frequency ablation adjustment command. The radio frequency ablation adjustment command is sent to the radio frequency signal transmission module, which determines the radio frequency analog signal to be sent to the ablation object according to the radio frequency ablation adjustment command. The data acquisition module collects the real-time tuning evaluation data of the ablation object when the radio frequency signal transmission module sends the radio frequency analog signal to the ablation object, and sends the real-time tuning evaluation data to the real-time control module. Because the real-time control module uses a graphical simulation control model, it can greatly reduce the complexity of building parameter adjustment control algorithms, shorten the algorithm development cycle, and reduce the difficulty of data maintenance. Adjusting the graphical simulation control model based on real-time tuning evaluation data allows for adjustments to the graphical simulation control model for each in vitro experiment, enabling rapid parameter tuning. This solves the problem of rapid tuning of radiofrequency ablation parameters in existing technologies, achieving rapid tuning of ablation parameters with low learning costs, and reducing the R&D cycle of parameter tuning and the difficulty of data maintenance.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of a radiofrequency ablation system provided in Embodiment 1 of the present invention;

[0023] Figure 2 This is a schematic diagram of the data flow of a radiofrequency ablation system provided in Embodiment 2 of the present invention;

[0024] Figure 3 This is a flowchart of a radiofrequency ablation method provided in Embodiment 3 of the present invention;

[0025] Figure 4 A schematic diagram of an electronic device that can be used to implement embodiments of the present invention is shown. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0027] It should be noted that the term "object" in the specification, claims, and accompanying drawings of this invention is used to distinguish similar objects and is not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising," "having," and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] It is understood that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and related provisions.

[0029] Example 1

[0030] Figure 1 This is a schematic diagram of a radiofrequency ablation system provided in Embodiment 1 of the present invention. Figure 1As shown, the system includes a real-time control module 110, a radio frequency (RF) signal transmission module 120, and a data acquisition module 130. The real-time control module 110 is communicatively connected to both the RF signal transmission module 120 and the data acquisition module 130. The RF signal transmission module 120 and the data acquisition module 130 are also communicatively connected. The real-time control module 110 is used to build a graphical simulation control model and adjust it based on real-time tuning evaluation data to obtain a target simulation control model. It inputs a preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data into the target simulation control model to obtain an RF ablation adjustment command, which is then sent to the RF signal transmission module 120. The RF signal transmission module 120 is used to determine the RF analog signal to be sent to the ablation target based on the RF ablation adjustment command. The data acquisition module 130 is used to collect the real-time tuning evaluation data of the ablation target when the RF signal transmission module 120 sends the RF analog signal to the ablation target, and then sends the real-time tuning evaluation data to the real-time control module 110.

[0031] The real-time control module 110 can be a device with control model building, data transmission and reception, and data processing functions. The graphical simulation control model can be a graphical simulation model used for process control. The real-time tuning evaluation data can be data reflecting the real-time ablation status of the ablation object. Optionally, the real-time tuning evaluation data can include analog electrical signals and image data. The target simulation control model can be a control model after adjusting the parameters in the graphical simulation control model based on the real-time tuning evaluation data. The ablation object can be the object to be ablated in vitro. The preset ablation signal can be a pre-set ablation signal released to the ablation object's point of action. The real-time ablation signal can be the ablation signal received in real-time at the ablation object's point of action. Optionally, the ablation signal can include, but is not limited to, temperature signals and power signals. The radio frequency ablation adjustment command can be an instruction output by the target simulation control model to adjust the radio frequency signal strength of the radio frequency signal transmitting module 120.

[0032] The radio frequency (RF) signal transmitting module 120 can be a device with RF signal transmission capabilities. Optionally, the RF signal transmitting module 120 can be composed of an RF generation circuit, including a pulse width modulation circuit, an RF transformer, and a field-effect transistor, etc. The RF analog signal can be the RF signal transmitted by the RF signal transmitting module 120. The data acquisition module 130 can be a module with data acquisition and data transmission / reception capabilities. Optionally, the data acquisition module 130 can be composed of a camera, sensors, and a communication module, etc. For example, the sensors in the data acquisition module 130 can include, but are not limited to, temperature sensors, voltage sensors, and current sensors.

[0033] In this embodiment of the invention, a radiofrequency ablation system is composed of a real-time control module 110, a radiofrequency signal transmission module 120, and a data acquisition module 130. The real-time control module 110 is communicatively connected to both the radiofrequency signal transmission module 120 and the data acquisition module 130, and the radiofrequency signal transmission module 120 and the data acquisition module 130 are also communicatively connected. The real-time control module 110 builds a graphical simulation control model, which can minimize the difficulty of building the simulation control model and quickly build various types of graphical simulation control models. After the graphical simulation control model is built, it can acquire the real-time tuning and evaluation data of the ablation object currently being performed in the ex vivo experiment collected by the data acquisition module 130. Then, based on the real-time tuning and evaluation data, the parameters in the graphical simulation control model are adjusted to obtain the target simulation control model. In this way, the preset ablation signal is acquired, and the real-time tuning and evaluation data is parsed to obtain the real-time ablation signal. The preset ablation signal and the real-time ablation signal are then input to the target simulation control model. The target simulation control model generates a radio frequency ablation adjustment command based on the difference between the preset ablation signal and the real-time ablation signal, and then sends the radio frequency ablation adjustment command to the radio frequency signal transmission module 120.

[0034] After receiving the radio frequency ablation adjustment command sent by the real-time control module 110, the radio frequency signal transmitting module 120 can further determine the radio frequency analog signal that matches the radio frequency ablation adjustment command, and then transmit the radio frequency analog signal to the ablation point of the ablation object.

[0035] When the radio frequency signal transmitting module 120 sends a radio frequency analog signal to the ablation object, the data acquisition module 130 can collect the real-time tuning and evaluation data of the ablation object during the ex vivo experiment, and then send the real-time tuning and evaluation data to the real-time control module 110 to realize the closed-loop adjustment of the graphical simulation control model.

[0036] In this embodiment of the invention, a radio frequency ablation system is composed of a real-time control module, a radio frequency signal transmission module, and a data acquisition module. The real-time control module builds a graphical simulation control model and adjusts the graphical simulation control model according to real-time tuning evaluation data to obtain a target simulation control model. Then, the preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data are input to the target simulation control model to obtain a radio frequency ablation adjustment command. The radio frequency ablation adjustment command is sent to the radio frequency signal transmission module, which determines the radio frequency analog signal to be sent to the ablation object according to the radio frequency ablation adjustment command. The data acquisition module collects the real-time tuning evaluation data of the ablation object when the radio frequency signal transmission module sends the radio frequency analog signal to the ablation object, and sends the real-time tuning evaluation data to the real-time control module. Because the real-time control module uses a graphical simulation control model, it can greatly reduce the complexity of building parameter adjustment control algorithms, shorten the algorithm development cycle, and reduce the difficulty of data maintenance. Adjusting the graphical simulation control model based on real-time tuning evaluation data allows for adjustments to the graphical simulation control model for each in vitro experiment, enabling rapid parameter tuning. This solves the problem of rapid tuning of radiofrequency ablation parameters in existing technologies, achieving rapid tuning of ablation parameters with low learning costs, and reducing the R&D cycle of parameter tuning and the difficulty of data maintenance.

[0037] Example 2

[0038] This embodiment is a further refinement based on the above embodiments, and provides specific optional implementation methods for the real-time control module in a radiofrequency ablation system.

[0039] In an optional embodiment of the present invention, the real-time control module can also be used to process the real-time tuning evaluation data to obtain the evaluation data to be displayed; and to display and store the evaluation data to be displayed.

[0040] The evaluation data to be displayed can be the data processing results of real-time tuning evaluation data, used for display in the real-time control module. Real-time tuning evaluation data may also include radio frequency analog signals and / or in vitro experimental images of the ablation object. In vitro experimental images can be image data acquired by the data acquisition module during in vitro experiments on the ablation object.

[0041] In this embodiment of the invention, the real-time control module can extract the values ​​corresponding to the radio frequency analog signals from the real-time tuning evaluation data, and then use the extraction results and the in vitro experimental images of the ablation object as evaluation data to be displayed. The evaluation data to be displayed is further displayed and stored, which allows users to intuitively see the ablation effect brought about by parameter adjustment in the graphical simulation control model. The ablation effects of various types of graphical simulation control models can be compared in practice, thereby quickly selecting the required type of graphical simulation control model, shortening the R&D cycle, and helping the product to be launched quickly.

[0042] In an optional embodiment of the present invention, the real-time control module may include a computer and a semi-simulation platform. The computer may be used to configure a graphical simulation control model according to model configuration parameters, so that the graphical simulation control model generates controller output data according to a preset ablation signal and a real-time ablation signal; and sends the controller output data to the semi-simulation platform. The semi-simulation platform may be used to generate radiofrequency ablation adjustment instructions according to the controller output data.

[0043] The model configuration parameters can be parameters that need to be pre-configured in the graphical simulation control model. The controller output data can be the output result determined by the graphical simulation control model based on the preset ablation signal and the real-time ablation signal. The semi-simulation platform can be an experimental platform for semi-physical simulation. For example, the semi-simulation platform can be Quanser's hardware-in-the-loop simulation platform, including real-time control software and QPIDe acquisition card. The semi-simulation platform is not limited to Quanser's hardware-in-the-loop simulation platform, but can also be a control board made of FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processing).

[0044] In this embodiment, after the computer in the real-time control module completes the construction of the graphical simulation control model, it can determine the model configuration parameters according to the ablation requirements of the in vitro experiment. Then, it uses these parameters to configure the graphical simulation control model and sends the preset ablation signal and the real-time ablation signal to the configured graphical simulation control model. The graphical simulation control model processes the data based on the preset and real-time ablation signals to obtain controller output data, which is then sent to the acquisition card of the semi-simulation platform. The semi-simulation platform acquires the controller output data through the acquisition card and then determines the radiofrequency ablation adjustment command that matches the controller output data.

[0045] In an optional embodiment of the present invention, the data acquisition module can be used to send real-time tuning evaluation data to a semi-simulation platform; the semi-simulation platform can be used to determine the evaluation text data to be displayed based on the evaluation data to be displayed, and send the evaluation text data to be displayed to a computer; the computer can be used to generate ablation data charts based on the evaluation text data to be displayed.

[0046] The evaluation text data to be displayed can be any text data other than in vitro experimental images. The ablation data charts can be generated from the evaluation data in text form.

[0047] In this embodiment of the disclosure, the semi-simulation platform can filter out text-formatted data from the evaluation data to be displayed, obtain the evaluation text data to be displayed, and then send the evaluation text data to be displayed to the computer of the real-time control module. The computer of the real-time control module can generate ablation data charts based on the evaluation text data to be displayed and the data graphical conversion program.

[0048] In an optional embodiment of the present invention, a computer can be used to install and run target software for a graphical simulation control model; obtain target simulation components based on the target software and simulation component building instructions; and build a graphical simulation control model based on the target simulation components.

[0049] The target software can be software that runs a graphical simulation control model. Optionally, the target software may include Matlab, Simulink, or LabVIEW, etc. The simulation component building instructions can be associated instructions for building the graphical simulation control model. The target simulation component can be a graphical component that makes up the graphical simulation control model.

[0050] In this embodiment of the disclosure, before the computer of the real-time control module builds the graphical simulation control model, the target software for running the graphical simulation control model can be determined first, and then the target software can be installed on the computer of the real-time control module. After the target software on the computer runs, it can receive simulation component building instructions sent by the user, and then obtain the target simulation component matching the simulation component building instructions. The target simulation component is then connected according to the transfer function matching the graphical simulation control model to obtain the graphical simulation control model.

[0051] For example, graphical simulation control models can be written directly in Matlab, Simulink, or LabVIEW in the form of S-Function functions, M-files, or circuits from the Simulink circuit library, and then compiled to generate code that can be downloaded to the control board.

[0052] In an optional embodiment of the present invention, the target simulation control model may include a PID control model, a fractional-order control model, and a fuzzy control model, etc.

[0053] In an optional embodiment of the present invention, a computer can be used to update at least one of the proportional configuration parameters, integral configuration parameters, derivative configuration parameters, derivative order, and integral order of a fractional-order control model based on real-time tuning evaluation data.

[0054] The proportional configuration parameter can be the proportional coefficient of the control function matched with the fractional-order control model. The integral configuration parameter can be the integral time constant of the control function matched with the fractional-order control model. The derivative configuration parameter can be the derivative time constant of the control function matched with the fractional-order control model. The derivative order can be the exponent of the derivative element in the control function matched with the fractional-order control model. The integral order can be the exponent of the integral element in the control function matched with the fractional-order control model.

[0055] In this embodiment of the invention, when the graphical simulation control model built by the computer in the real-time control module is a fractional-order control model, the model configuration parameters that need to be adjusted for the fractional-order control model can be further determined based on the acquired real-time tuning evaluation data. Specifically, at least one of the proportional configuration parameters, integral configuration parameters, derivative configuration parameters, derivative order, and integral order of the fractional-order control model can be updated.

[0056] Figure 2 This is a schematic diagram of the data flow of a radiofrequency ablation system provided in Embodiment 2 of the present invention, as shown below. Figure 2As shown, when the graphical simulation control model is a PID controller, the specific process of parameter tuning is as follows: Based on experience, determine the proportional, derivative, and integral coefficients (model configuration parameters) of the PID controller. Configure the PID controller on the computer. Further, use the difference between the setpoint of the ablation temperature (preset ablation signal) and the actual test temperature (real-time ablation signal) as the input to the PID controller. The output value of the PID controller (controller output data) is output to the RF signal transmission module through the QUARC and QPIDe acquisition cards of the semi-simulation platform. The RF signal transmission module controls the RF temperature (RF analog signal). The data acquisition module collects information such as the RF temperature to the semi-simulation platform and displays it in the form of graphs in Matlab / Simulink, allowing for intuitive observation of the temperature control effect. The PID controller automatically and in real-time corrects the proportional, integral, and derivative coefficients based on the control effect, thereby quickly determining the tuning parameters of the PID model (automatically increasing the proportional coefficient when the temperature rises too slowly; automatically decreasing the proportional coefficient and increasing the integral coefficient when the overshoot is large and the oscillation time is long; adding a derivative term after repeated adjustments of the overshoot and time fail to achieve the desired result, starting from 0 and increasing the derivative coefficient). Simultaneously, images from the in vitro experiments were uploaded to a computer.

[0057] Traditional PID controllers for controlling RF analog signal output rely on experience for parameter tuning, making it impossible to observe the control effects of parameter changes in real time. Achieving good control requires lengthy debugging periods. RF processes have high temperature control requirements, but current temperature control methods are not precise and exhibit control lag. Since temperature is a continuous quantity, fractional-order control models are more suitable for adjustment than integer-order models. Therefore, the introduction of fractional-order control models, i.e., PI... γ D μAfter the control model is established, the derivative order μ and integral order γ can be arbitrarily set or fractional, enabling a more accurate description of the dynamic response of the actual system. Compared to traditional PID controllers, the addition of adjustable parameters γ and μ allows for better control performance by selecting appropriate parameters. Furthermore, the difference between the power setpoint and the actual power can be used as input to the fractional-order control model to control the output of the RF analog signal, allowing for a direct comparison of the effects of temperature control and power control. For temperature control, power control, or simultaneous temperature and power control, this system can quickly build various control algorithms and compare the collected temperature and power change graphs to determine the optimal control scheme and parameters. Traditional methods consume a lot of time in building algorithms and comparing their control effects, while building control algorithms in Simulink is quite fast, parameters can be changed in real time, and algorithm and parameter verification is more convenient, allowing for rapid determination of control algorithms suitable for various RF signal transmission modules. RF analog signals can include both RF and microwave signals. Compared to pure simulation, the semi-simulation platform allows the control effect to be physically manifested, enabling users to see the actual control effect. Its control algorithm construction is flexible and fast, and the parameters are adjustable in real time.

[0058] In this embodiment of the invention, a radio frequency ablation system is composed of a real-time control module, a radio frequency signal transmission module, and a data acquisition module. The real-time control module builds a graphical simulation control model and adjusts the graphical simulation control model according to real-time tuning evaluation data to obtain a target simulation control model. Then, the preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data are input to the target simulation control model to obtain a radio frequency ablation adjustment command. The radio frequency ablation adjustment command is sent to the radio frequency signal transmission module, which determines the radio frequency analog signal to be sent to the ablation object according to the radio frequency ablation adjustment command. The data acquisition module collects the real-time tuning evaluation data of the ablation object when the radio frequency signal transmission module sends the radio frequency analog signal to the ablation object, and sends the real-time tuning evaluation data to the real-time control module. Because the real-time control module uses a graphical simulation control model, it can greatly reduce the complexity of building parameter adjustment control algorithms, shorten the algorithm development cycle, and reduce the difficulty of data maintenance. Adjusting the graphical simulation control model based on real-time tuning evaluation data allows for adjustments to the graphical simulation control model for each in vitro experiment, enabling rapid parameter tuning. This solves the problem of rapid tuning of radiofrequency ablation parameters in existing technologies, achieving rapid tuning of ablation parameters with low learning costs, and reducing the R&D cycle of parameter tuning and the difficulty of data maintenance.

[0059] Example 3

[0060] Figure 3This is a flowchart of a radiofrequency ablation method provided in Embodiment 3 of the present invention. This embodiment is applicable to situations requiring rapid tuning of ablation parameters. The method can be executed by a real-time control module, which can be implemented in software and / or hardware, and is generally integrated into an electronic device. This electronic device can be a terminal device, a server device, etc. The present invention does not limit the type of electronic device used to execute the radiofrequency ablation method. Correspondingly, as... Figure 1 As shown, the method includes the following operations. Figure 3 As shown, the method includes:

[0061] S310. Build a graphical simulation control model and adjust the graphical simulation control model according to the real-time tuning evaluation data to obtain the target simulation control model.

[0062] In this embodiment of the invention, a graphical simulation control model can be built through a real-time control module, and the graphical simulation control model can be adjusted according to real-time tuning and evaluation data to obtain the target simulation control model.

[0063] S320. Input the preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data into the target simulation control model to obtain the radio frequency ablation adjustment command, and send the radio frequency ablation adjustment command to the radio frequency signal transmission module so that the radio frequency analog signal to be sent to the ablation object can be determined according to the radio frequency ablation adjustment command.

[0064] In this embodiment of the invention, the preset ablation signal and the real-time ablation signal in the real-time tuning evaluation data can be input to the target simulation control model through the real-time control module to obtain the radio frequency ablation adjustment command, and the radio frequency ablation adjustment command is sent to the radio frequency signal transmission module so that the radio frequency analog signal to be sent to the ablation object can be determined according to the radio frequency ablation adjustment command.

[0065] In this embodiment of the invention, a graphical simulation control model is built and adjusted based on real-time tuning evaluation data to obtain a target simulation control model. Then, a preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data are input into the target simulation control model to obtain a radio frequency ablation adjustment command. This command is then sent to the radio frequency signal transmission module, which determines the radio frequency analog signal to be sent to the ablation target based on the command. Because the real-time control module uses a graphical simulation control model, the complexity of building the parameter adjustment control algorithm is greatly reduced, the algorithm development cycle is shortened, and the data maintenance difficulty is reduced. Adjusting the graphical simulation control model based on real-time tuning evaluation data allows for adjustments to the model for each in vitro experiment, enabling rapid parameter tuning. This solves the problem of rapid tuning of radio frequency ablation parameters in existing technologies, achieving rapid tuning of ablation parameters with low learning costs, reducing the R&D cycle for parameter tuning and the difficulty of data maintenance.

[0066] Example 4

[0067] Figure 4 A schematic diagram of an electronic device that can be used to implement embodiments of the present invention is shown. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the invention described and / or claimed herein.

[0068] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0069] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0070] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as radiofrequency ablation methods.

[0071] In some embodiments, the radiofrequency ablation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or mounted on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the radiofrequency ablation method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the radiofrequency ablation method by any other suitable means (e.g., by means of firmware).

[0072] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0073] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0074] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0075] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0076] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0077] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0078] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0079] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A radiofrequency ablation system, comprising a real-time control module, a radiofrequency signal transmission module, and a data acquisition module, wherein, The real-time control module is communicatively connected to the radio frequency signal transmitting module and the data acquisition module, respectively; the radio frequency signal transmitting module and the data acquisition module are communicatively connected. The real-time control module is used to build a graphical simulation control model and adjust the graphical simulation control model according to real-time tuning evaluation data to obtain a target simulation control model; it inputs a preset ablation signal and the real-time ablation signal from the real-time tuning evaluation data into the target simulation control model to obtain a radio frequency ablation adjustment command, and sends the radio frequency ablation adjustment command to the radio frequency signal transmission module; wherein, the graphical simulation control model is a graphical simulation model used for process control; the target simulation control model includes a PID control model, a fractional-order control model, and a fuzzy control model; The radio frequency signal transmitting module is used to determine the radio frequency analog signal to be sent to the ablation object according to the radio frequency ablation adjustment command; The data acquisition module is used to acquire real-time tuning evaluation data of the ablation object when the radio frequency signal transmission module sends radio frequency analog signals to the ablation object, and send the real-time tuning evaluation data to the real-time control module; The real-time control module includes a computer and a semi-simulation platform; the computer is used to update at least one of the proportional configuration parameters, integral configuration parameters, derivative configuration parameters, derivative order, and integral order of the fractional-order control model based on the real-time tuning evaluation data.

2. The system according to claim 1, characterized in that, The real-time control module is also used to process the real-time tuning evaluation data to obtain the evaluation data to be displayed. The evaluation data to be displayed is then displayed and stored. The real-time tuning and evaluation data also includes radio frequency analog signals and / or in vitro experimental images of the ablation object.

3. The system according to claim 2, characterized in that, The computer is configured according to the model configuration parameters to configure the graphical simulation control model, so that the graphical simulation control model generates controller output data according to the preset ablation signal and the real-time ablation signal. The controller outputs data and sends it to the semi-simulation platform. The semi-simulation platform is used to generate the radio frequency ablation adjustment command based on the controller output data.

4. The system according to claim 3, characterized in that, The data acquisition module is used to send the real-time tuning evaluation data to the semi-simulation platform; The semi-simulation platform is used to determine the evaluation text data to be displayed based on the evaluation data to be displayed, and to send the evaluation text data to be displayed to the computer; The computer is used to generate ablation data charts based on the evaluation text data to be displayed.

5. The system according to claim 3, characterized in that, The computer is used to install and run the target software of the graphical simulation control model; Based on the target software and the simulation component building instructions, obtain the target simulation component; Based on the target simulation components, the graphical simulation control model is constructed.

6. A radiofrequency ablation method, characterized in that, include: A graphical simulation control model is constructed, and the graphical simulation control model is adjusted based on real-time tuning and evaluation data to obtain a target simulation control model; wherein, the graphical simulation control model is a graphical simulation model used for process control; the target simulation control model includes a PID control model, a fractional-order control model, and a fuzzy control model; The preset ablation signal and the real-time ablation signal in the real-time tuning evaluation data are input into the target simulation control model to obtain the radio frequency ablation adjustment command. The radio frequency ablation adjustment command is then sent to the radio frequency signal transmission module, so that the radio frequency analog signal to be sent to the ablation object is determined according to the radio frequency ablation adjustment command.

7. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the radiofrequency ablation method of claim 6.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the radio frequency ablation method of claim 6.

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