Radio frequency control method, electronic device, and computer-readable storage medium

Abstract

A radio frequency control method, an electronic device and a computer readable storage medium are provided. The method comprises: selecting N learning resistances from a preset resistance range according to a preset sampling rule; selecting Y test voltages from a preset voltage range according to a preset sampling method; for each learning resistance, setting a resistance of a simulation device for simulating a target object as the learning resistance, taking each test voltage as an input voltage of an ablation device, respectively determining S output powers corresponding to each test voltage, and obtaining YXS data samples corresponding to the learning resistance; and fitting the YXS data samples corresponding to each learning resistance to obtain a target fitting curve corresponding to each learning resistance. The target fitting curve obtained by the method can be used to determine the input voltage, which can reduce the deviation of the output voltage and further reduce the deviation of the output power.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of data processing, and in particular, to a radio frequency control method, an electronic device, and a computer readable storage medium. BACKGROUND

[0002] An ablation device performs radio frequency ablation on a target object by outputting radio frequency energy, so as to achieve a treatment purpose. During radio frequency ablation, the ablation device usually needs to control the output power of the ablation device, for example, by using a rated power method to perform radio frequency ablation. In the related art, a fixed multiple is usually taken as a voltage amplification multiple of the ablation device. However, due to the difference between internal devices of each ablation device, the fixed multiple is not accurate, thereby causing a large difference between the actual output power of the ablation device and the required output power. SUMMARY

[0003] The radio frequency control method, the electronic device, and the computer readable storage medium provided by the embodiments of the present application can determine the input voltage by using the target fitting curve obtained by the method, can reduce the deviation of the output voltage, and further reduce the deviation of the output power.

[0004] In an aspect, the embodiments of the present application provide a radio frequency control method, and the method comprises the following steps.

[0005] selecting N learning resistances from a preset resistance range according to a preset sampling rule;

[0006] selecting Y test voltages from a preset voltage range according to a preset sampling method;

[0007] for each of the learning resistances, setting a resistance of a simulation device for simulating the target object as the learning resistance, taking each of the test voltages as an input voltage of the ablation device, respectively determining S output powers corresponding to each of the test voltages, and obtaining Y×S data samples corresponding to the learning resistance; wherein each of the data samples comprises one of the test voltages and one of the output powers corresponding to the test voltage;

[0008] fitting Y×S data samples corresponding to each of the learning resistances to obtain a target fitting curve corresponding to each of the learning resistances; wherein the target fitting curve is used to indicate a corresponding relationship between the input voltage and the output power under the learning resistance, and the target fitting curve is used to control the ablation device to output radio frequency energy to the target object.

[0009] In an aspect, the embodiments of the present application also provide a radio frequency control device, and the device comprises the following steps.

[0010] a first sampling module configured to select N learning resistances from a preset resistance range according to a preset sampling rule;

[0011] a second sampling module configured to select Y test voltages from a preset voltage range according to a preset sampling method;

[0012] an acquisition module configured to, for each of the learning resistances, set a resistance of a simulation device used to simulate the target object as the learning resistance, take each of the test voltages as an input voltage of the ablation device, respectively determine S output powers corresponding to each of the test voltages, and obtain YxS data samples corresponding to the learning resistance, wherein each of the data samples comprises one of the test voltages and one of the output powers corresponding to the test voltage;

[0013] a fitting module configured to fit the YxS data samples corresponding to each of the learning resistances to obtain a target fitting curve corresponding to each of the learning resistances, wherein the target fitting curve is used to indicate a correspondence between the input voltage and the output power under the learning resistance, and the target fitting curve is used to control the ablation device to output radio frequency energy to the target object.

[0014] An electronic device is also provided in an aspect of the embodiments, and the electronic device comprises a memory and a processor.

[0015] The memory stores executable program code.

[0016] The processor coupled with the memory invokes the executable program code stored in the memory to execute the radio frequency control method provided in the above embodiments.

[0017] A non-transitory computer readable storage medium is also provided in an aspect of the embodiments, and the non-transitory computer readable storage medium stores a computer program, which, when executed by a processor, implements the radio frequency control method provided in the above embodiments.

[0018] According to the embodiments provided in the present application, N learning resistances are selected from a preset resistance range according to a preset sampling rule, Y test voltages are selected from a preset voltage range according to a preset sampling method, for each of the learning resistances, a resistance of a simulation device used to simulate a target object is set as the learning resistance, each of the test voltages is taken as an input voltage of an ablation device, S output powers corresponding to each of the test voltages are respectively determined, YxS data samples corresponding to the learning resistance are obtained, YxS data samples corresponding to each of the learning resistances are fitted, and a target fitting curve corresponding to each of the learning resistances is obtained. The target fitting curve obtained by using the method is used to determine the input voltage, which can reduce the deviation of the output voltage and further reduce the deviation of the output power. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 An application scenario diagram of the ablation device provided in one embodiment of this application;

[0021] Figure 2 A flowchart illustrating the implementation of a radio frequency control method provided in an embodiment of this application;

[0022] Figure 3 This is a schematic diagram of the structure of a radio frequency control device provided in another embodiment of this application;

[0023] Figure 4 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] like Figure 1 As shown, when an ablation device is operating, the input voltage is amplified by components such as a power amplifier board, resulting in a higher output voltage. Due to differences in internal components, the actual output voltage varies between different ablation devices. In related technologies, the output voltage of ablation devices is calculated by amplifying the input voltage by a factor, for example, three times. This amplified voltage is then used as the output voltage, and the output power is calculated based on this output voltage and the measured resistance of the target object. This method yields a large deviation in output power, which may result in a long adjustment time from the output power to the target power, or the output power exceeding the target power. Therefore, it is necessary to provide a radio frequency control method to address the problem of large output power deviation.

[0026] See Figure 2 , Figure 2This is a flowchart illustrating the implementation of a radio frequency control method according to an embodiment of this application. This method can be implemented using an ablation device or other computer terminals connected to it. It can also be implemented using other electronic intelligent devices. For ease of explanation, the ablation device is used as the execution subject in the following embodiments. The radio frequency control method includes:

[0027] S101. Select N learning resistors from the preset resistance range according to the preset sampling rules;

[0028] In this embodiment, N is an integer greater than 0, such as 10, 15, 20, 23 or 25.

[0029] In this embodiment, the preset sampling rule includes selecting a learning resistor from a preset resistance range at preset intervals. The preset resistance range can be set according to the resistance range of the target object, for example, 50-600Ω. A learning resistor can be selected at intervals of 25Ω, 30Ω, or 50Ω.

[0030] S102. Select Y test voltages from the preset voltage range according to the preset sampling method.

[0031] In this embodiment, the preset sampling method includes selecting a test voltage from a preset voltage range at preset value intervals. The preset voltage range can be set within the voltage range commonly used by ablation devices, such as 0-48V. A test voltage can be selected at intervals of 2V, 4V, or 6V.

[0032] S103. For each learning resistor, set the resistance of the simulation device used to simulate the target object as the learning resistor, take each test voltage as the input voltage of the ablation device, determine the S output powers corresponding to each test voltage, and obtain Y×S data samples corresponding to the learning resistor; wherein, each data sample includes a test voltage and an output power corresponding to the test voltage.

[0033] In this embodiment, a simulation device can be used to simulate the target object, such as a high-frequency electrosurgical device with adjustable resistance. Therefore, the simulation device can be set to the learning resistor for each learning resistor. For example, for a learning resistor of 50Ω, the resistance of the simulation device can be set to 50Ω, and based on this, the output power corresponding to each test voltage as the input voltage is measured according to the test voltage selected in step S102.

[0034] like Figure 1 As shown, the ablation device outputs power to the simulation device, and the output power varies with the input voltage of the ablation device. Furthermore, the output power of the ablation device also differs for simulation devices with different resistances.

[0035] In the embodiment, in the case of selecting a learning resistance, each test voltage is taken as an input voltage of the ablation device, and S output powers corresponding to each test voltage are determined respectively, including:

[0036] For each test voltage, the input voltage of the ablation device is set to the test voltage, and the following steps are performed S times:

[0037] S1031, under the test voltage, the output current passing through the simulation device and the output voltage across the simulation device are measured.

[0038] S1032, based on the output current and the output voltage, the output power of the ablation device is determined, and the output power is taken as one output power corresponding to the test voltage.

[0039] As Figure 1 shown, the input voltage (test voltage) is input to the ablation device, and the output current and the output voltage are input to the simulation device (learning resistance) by the ablation device, and the output power of the ablation device can be determined according to the measured output current and output voltage, and the output power is taken as one output power corresponding to the input voltage (test voltage).

[0040] It can be understood that one output power of a test voltage can be determined according to the above steps S1031-S1032, and S measurements are performed while keeping the input voltage unchanged (i.e. set to the test voltage), and S output powers can be obtained, each corresponding to the test voltage.

[0041] S104, fitting YXS data samples corresponding to each learning resistance to obtain a target fitting curve corresponding to each learning resistance respectively; wherein the target fitting curve is used to indicate the corresponding relationship between the input voltage and the output power under the learning resistance, and the target fitting curve is used to control the ablation device to output radio frequency energy to the target object.

[0042] In the embodiment, the data samples corresponding to each learning resistance are fitted to obtain a target fitting curve, that is, for N learning resistances, N target fitting curves corresponding to the learning resistances can be obtained.

[0043] In the embodiment, the data samples corresponding to each learning resistance are fitted respectively. Taking the learning resistance of 50Ω as an example, YXS data samples determined when the simulation device is set to 50Ω can be fitted. Y is an integer greater than 0, for example, it can be 10, 13 or 15, etc., and S is an integer greater than 0, for example, it can be 3, 5, 7 or 9, etc. For example, Y is 13 and S is 5, so the number of data samples is 13x5.

[0044] In the embodiment of the present application, N learning resistances are selected from a preset resistance range according to a preset sampling rule; Y test voltages are selected from a preset voltage range according to a preset sampling method; for each learning resistance, the resistance of the simulation device for simulating the target object is set as the learning resistance, each test voltage is taken as an input voltage of the ablation device, S output powers corresponding to each test voltage are determined respectively, and YXS data samples corresponding to the learning resistance are obtained; the YXS data samples corresponding to each learning resistance are fitted to obtain a target fitting curve corresponding to each learning resistance respectively. The target fitting curve obtained by using the method can determine the input voltage, so as to reduce the deviation of the output voltage and further reduce the deviation of the output power.

[0045] In a specific embodiment, the range of the preset resistance can be determined according to the target object, for example, the resistance range of human tissue is generally 50-600Ω, and the preset resistance range can be set to 50-600Ω. In an embodiment, a learning resistance can be selected every 25Ω in the preset resistance range.

[0046] In a specific embodiment, the range of the preset voltage can be determined according to the capability of the ablation device and the output power required for the required radio frequency ablation, for example, the preset voltage value range can be set to 0-48V. In an embodiment, a test voltage can be selected every 4V in the preset voltage range.

[0047] Taking Table 1 as an example for example, as shown in Table 1, 13 test voltages and 23 learning resistances can be determined.

[0048] Table 1

[0049]

[0050]

[0051] Taking a learning resistance of 350Ω as an example, 5 measurements are performed for each test voltage, 5 groups of output currents and 5 groups of output voltages are obtained, and the output power corresponding to each measurement (i.e., the product of the output current and the output voltage) is calculated, as shown in Table 2.

[0052] Table 2

[0053]

[0054]

[0055] In the embodiment, the learning resistance can be obtained by using a standard source such as a high-frequency electrotome device, and the output voltage and the output current can be directly measured by the standard source. The output power can be calculated according to the output voltage and the output current.

[0056] In an embodiment of the present application, the YxS data samples corresponding to each learning resistor are fitted to obtain a fitting curve corresponding to each learning resistor, including:

[0057] S201, fitting the YxS data samples by at least one preset fitting method to obtain a candidate fitting curve corresponding to each preset fitting method; the preset fitting method includes at least one of linear fitting, polynomial fitting and power function fitting.

[0058] S202, determining a target fitting curve from the candidate fitting curves.

[0059] Further, the preset fitting method includes at least two of linear fitting, polynomial fitting and power function fitting, and the target fitting curve is determined from the candidate fitting curves, including:

[0060] S203, comparing the fitting degrees of each candidate fitting curve corresponding to each preset fitting method.

[0061] S204, determining the candidate fitting curve with the largest fitting degree as the target fitting curve.

[0062] Taking the polynomial fitting method as an example, the 13x5 data samples in Table 2 are fitted, each data sample including a test voltage and an output power, and the polynomial fitting curve under the 350Ω learning resistor is obtained as:

[0063] y=-2E-08x 6 +4E-06x 5 -0.0003x 4 +0.0112x 3 -0.229x 2 +2.9998x+4.0376,

[0064] Wherein, x is the output power and y is the input voltage.

[0065] For other fitting methods, corresponding fitting curves can also be obtained, which will not be described here.

[0066] In an embodiment of the present application, the fitting degree calculation method includes:

[0067]

[0068]

[0069]

[0070]

[0071]

[0072] wherein y i represents the i-th measured output power in YxS data samples; f i represents the i-th predicted output power; SS reg represents the regression sum of squares, SS tot represents the total sum of squares; R 2 represents the degree of fitting, 0≤R 2 ≤1.

[0073] For the above polynomial fitting curve:

[0074] y = -2E-08x 6 + 4E-06x 5 - 0.0003x 4 + 0.0112x 3 - 0.229x 2 + 2.9998x + 4.0376

[0075] The degree of fitting can be calculated: R 2 = 0.9993.

[0076] In an embodiment of the present application, after fitting YxS data samples corresponding to each learning resistance to obtain a target fitting curve corresponding to each learning resistance, the method comprises:

[0077] S301, determining a learning resistance matching the target object based on the resistance of the target object.

[0078] S302, determining that the target fitting curve corresponding to the learning resistance matches the target object according to the learning resistance matching the target object.

[0079] S303, determining an input voltage corresponding to an output power according to the target fitting curve.

[0080] In this embodiment, when the ablation device performs an ablation operation, the resistance provided by the simulation device is no longer used, but the resistance of the target object is actually detected, and a learning resistance corresponding to the resistance is matched, a target fitting line corresponding to the learning resistance is selected according to the learning resistance, and then an input voltage to be used is determined according to the target fitting curve and the output power that has been determined to be output.

[0081] In one embodiment, the resistance of the target object can be detected first, and then a learning resistance closest to the resistance of the target object can be found. For example, the absolute value of the difference between the resistance of the target object and the learning resistance can be calculated, and the learning resistance with the smallest absolute value is the closest learning resistance. Thus, the closest learning resistance can be determined as matching the target object.

[0082] In an embodiment of the present application, N learning resistances are selected from a preset resistance range according to a preset sampling rule; Y test voltages are selected from a preset voltage range according to a preset sampling method; for each learning resistance, the resistance of a simulation device for simulating a target object is set to the learning resistance, each test voltage is used as an input voltage of an ablation device, S output powers corresponding to each test voltage are respectively determined, YXS data samples corresponding to the learning resistance are obtained; YXS data samples corresponding to each learning resistance are fitted to obtain a target fitting curve corresponding to each learning resistance respectively. The target fitting curve obtained by the method can determine the input voltage, which can reduce the deviation of the output voltage, and further reduce the deviation of the output power.

[0083] Referring to Figure 3 , an embodiment of the present application provides a structural diagram of a radio frequency control device. For ease of illustration, only parts related to the embodiments of the present application are shown. The device can be a computer terminal, or a software module configured in the computer terminal. As shown in Figure 3 , the device includes a first sampling module 101, a second sampling module 102, an acquisition module 103, and a fitting module 104.

[0084] The first sampling module 101 is configured to select N learning resistances from a preset resistance range according to a preset sampling rule.

[0085] The second sampling module 102 is configured to select Y test voltages from a preset voltage range according to a preset sampling method.

[0086] The acquisition module 103 is configured to, for each learning resistance, set the resistance of a simulation device for simulating a target object to the learning resistance, use each test voltage as an input voltage of an ablation device, respectively determine S output powers corresponding to each test voltage, and obtain YXS data samples corresponding to the learning resistance; each data sample includes a test voltage and an output power corresponding to the test voltage.

[0087] The fitting module 104 is configured to fit the Y×S data samples corresponding to each learning resistance to obtain a target fitting curve corresponding to each learning resistance respectively; the target fitting curve is used to indicate the corresponding relationship between the input voltage and the output power under the learning resistance, and the target fitting curve is used to control the ablation device to output radio frequency energy to the target object.

[0088] Further, the preset sampling rule includes: selecting one learning resistance from each interval of a preset value in a preset resistance range.

[0089] Further, the preset sampling method includes: selecting one test voltage from each interval of a preset value in a preset voltage range.

[0090] Further, the acquisition module 103 is further configured to, for each test voltage, set the input voltage of the ablation device to the test voltage, and execute the following steps S times: measure the output current through the simulation device and the output voltage across the simulation device under the test voltage; determine the output power of the ablation device based on the output current and the output voltage, and take the output power as an output power corresponding to the test voltage.

[0091] Further, the fitting module 105 is further configured to fit the Y×S data samples by at least one preset fitting method to obtain a candidate fitting curve corresponding to each preset fitting method respectively; the preset fitting method includes at least one of linear fitting, polynomial fitting and power function fitting; and the target fitting curve is determined from the candidate fitting curves.

[0092] Further, the fitting module 105 is further configured to compare the fitting degrees of each candidate fitting curve for the candidate fitting curve corresponding to each preset fitting method; and determine the candidate fitting curve with the largest fitting degree as the target fitting curve.

[0093] Further, the calculation method of the fitting degree includes:

[0094]

[0095]

[0096]

[0097]

[0098]

[0099] yi represents the i-th measured output power in YxS data samples; f i represents the i-th predicted output power; SS reg represents the regression sum of squares, SS tot represents the total sum of squares; R 2 represents the degree of fitting, 0≤R 2 ≤1.

[0100] Further, the fitting module 105 is further configured to determine the learning resistance matched with the target object based on the resistance of the target object, determine that the target fitting curve corresponding to the learning resistance matches the target object according to the learning resistance matched with the target object, and determine the input voltage corresponding to the output power according to the target fitting curve.

[0101] In an embodiment of the present application, N learning resistances are selected from a preset resistance range according to a preset sampling rule, Y test voltages are selected from a preset voltage range according to a preset sampling method, for each learning resistance, the resistance of the simulation device used to simulate the target object is set to the learning resistance, each test voltage is used as the input voltage of the ablation device, S output powers corresponding to each test voltage are determined respectively, YxS data samples corresponding to the learning resistance are obtained, YxS data samples corresponding to each learning resistance are fitted, and a target fitting curve corresponding to each learning resistance is obtained. The target fitting curve obtained by using the method can determine the input voltage, which can reduce the deviation of the output voltage and further reduce the deviation of the output power.

[0102] The specific process in which each module implements its respective function can refer to the related content in the embodiments shown in Figure 2 and will not be described here in detail.

[0103] Referring to Figure 4 , an embodiment of the present application provides a hardware structure schematic diagram of an electronic device.

[0104] For example, the electronic device can be any of various types of computer system devices that are non-movable or movable or portable and perform wireless or wired communication. Specifically, the electronic device can be a desktop computer, server, mobile phone or smartphone (e.g., iPhone™-based, Android™-based phone), portable gaming device (e.g., Nintendo DS™, PlayStation Portable™, Gameboy Advance™, iPhone™), laptop computer, PDA, portable internet device, portable medical device, smart camera, music player and data storage device, other handheld devices and such as watches, headphones, pendants, etc. The electronic device can also be other wearable devices (e.g., such as electronic glasses, electronic clothing, electronic bracelets, electronic necklaces and other head-mounted devices (HMDs)).

[0105] like Figure 4 As shown, the electronic device 100 may include a control circuit, which may include a storage and processing circuit 300. The storage and processing circuit 300 may include a memory, such as a hard disk drive, a non-volatile memory (e.g., flash memory or other electronically programmable erasure-limited memory used to form a solid-state drive), a volatile memory (e.g., static or dynamic random access memory), etc., and this embodiment is not limited thereto. The processing circuit in the storage and processing circuit 300 can be used to control the operation of the electronic device 100. This processing circuit may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application-specific integrated circuits (ASICs), display driver integrated circuits, etc.

[0106] The storage and processing circuitry 300 can be used to run software in the electronic device 100, such as internet browsing applications, Voice over Internet Protocol (VoIP) telephone calling applications, email applications, media playback applications, operating system functions, etc. This software can be used to perform various control operations, such as image acquisition based on a camera, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functions based on status indicators such as LED status lights, touch event detection based on a touch sensor, functions associated with displaying information on multiple (e.g., layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the electronic device 100, etc., which are not limited in the embodiments of this application.

[0107] Further, the memory stores executable program code, and a processor coupled to the memory invokes the executable program code stored in the memory to execute the radio frequency control method as described in the foregoing embodiments.

[0108] The executable program code includes each module in the radio frequency control device as described in the foregoing embodiments, such as the first sampling module 101, the second sampling module 102, the obtaining module 103, and the fitting module 104. The specific process of implementing the functions of the modules can refer to the related descriptions in the foregoing embodiments, and will not be described here again. Figure 3 Figure 2 The executable program code includes each module in the radio frequency control device as described in the foregoing embodiments, such as the first sampling module 101, the second sampling module 102, the obtaining module 103, and the fitting module 104. The specific process of implementing the functions of the modules can refer to the related descriptions in the foregoing embodiments, and will not be described here again.

[0109] The electronic device 100 can further include input / output circuitry 420. The input / output circuitry 420 can be used to enable the electronic device 100 to input and output data, i.e., to allow the electronic device 100 to receive data from external devices and also to allow the electronic device 100 to output data from the electronic device 100 to external devices. The input / output circuitry 420 can further include the sensor 320. The sensor 320 can include an ambient light sensor, a light and capacitive proximity sensor, a touch sensor (e.g., a light-based touch sensor and / or a capacitive touch sensor, where the touch sensor can be part of a touch display screen or can be used independently as a touch sensor structure), an acceleration sensor, and other sensors.

[0110] The input / output circuitry 420 can also include one or more displays, such as the display 140. The display 140 can include a liquid crystal display, an organic light-emitting diode display, an electronic ink display, a plasma display, a combination of one or more of displays using other display technologies. The display 140 can include a touch sensor array (i.e., the display 140 can be a touch display screen). The touch sensor can be a capacitive touch sensor formed by an array of transparent touch sensor electrodes (e.g., indium tin oxide (ITO) electrodes), or can be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, etc., without limitation.

[0111] The electronic device 100 can further include an audio component 360. The audio component 360 can be used to provide audio input and output functionality for the electronic device 100. The audio component 360 in the electronic device 100 can include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.

[0112] ​The communication circuit 380 can be used to provide the electronic device 100 with the ability to communicate with external devices. The communication circuit 380 can include analog and digital input / output interface circuitry, and wireless communication circuitry based on radio frequency signals and / or optical signals. The wireless communication circuitry in the communication circuit 380 can include radio frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. By way of example, the wireless communication circuitry in the communication circuit 380 can include circuitry for supporting Near Field Communication (NFC). For example, the communication circuit 380 can include a near field communication antenna and a near field communication transceiver. The communication circuit 380 can also include cellular telephone transceiver and antenna circuitry, wireless local area network transceiver circuitry and antenna, and the like.

[0113] The electronic device 100 can further include a battery, power management circuitry, and other input / output units 400. The input / output units 400 can include buttons, joysticks, click wheels, scroll wheels, touch pads, key pads, keyboards, cameras, light emitting diodes and other status indicators, and the like.

[0114] A user can input commands to control the operation of the electronic device 100 through the input / output circuit 420, and can use output data from the input / output circuit 420 to implement receiving status information and other output from the electronic device 100.

[0115] Further, the embodiments of the present application also provide a non-transitory computer readable storage medium, which can be configured in the server in the above-mentioned embodiments, and the non-transitory computer readable storage medium has a computer program stored thereon, and the program is executed by a processor to implement the radio frequency control method described in the above-mentioned embodiments.

[0116] In the above-mentioned embodiments, the description of each embodiment has its own focus, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.

[0117] Those skilled in the art can appreciate that the modules / units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0118] In the embodiments of the present application, it should be understood that the disclosed apparatus / terminal and method can be implemented in other manners. For example, the apparatus / terminal embodiments described above are merely schematic. For example, the division of the modules or units is merely logical function division. There can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units can be indirect couplings or communication connections through some interfaces, devices or units.

[0119] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0120] In addition, each functional unit in the various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware, or in the form of a software functional unit.

[0121] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such an understanding, the present application implements all or part of the flow of the above-described embodiment methods, and can also be completed by computer programs instructing related hardware. The computer program can be stored in a computer readable storage medium, and when the processor executes the computer program, the steps of the above-described various method embodiments can be implemented. The computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer readable medium can include or exclude some contents according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to the legislation and patent practice, the computer readable medium does not include electric carrier signal and telecommunication signal.

[0122] The above examples are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that the technical solutions recorded in the foregoing examples can be modified, or some technical features can be replaced by equivalent features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A radio frequency control method of an ablation apparatus, characterized by, The ablation device is used to output radio frequency energy to a target object, and the method comprises: selecting N learning resistances from a preset resistance range according to a preset sampling rule; selecting Y test voltages from a preset voltage range according to a preset sampling method; for each of the learning resistances, setting the resistance of a simulation device used to simulate the target object to the learning resistance, taking each of the test voltages as an input voltage of the ablation device, respectively determining S output powers corresponding to each of the test voltages, and obtaining YXS data samples corresponding to the learning resistance; wherein each of the data samples comprises one of the test voltages and one of the output powers corresponding to the test voltage; fitting YXS data samples corresponding to each of the learning resistances to obtain a target fitting curve corresponding to each of the learning resistances; wherein the target fitting curve is used to indicate the correspondence between the input voltage and the output power under the learning resistance, and the target fitting curve is used to control the ablation device to output radio frequency energy to the target object.

2. The method of claim 1, wherein, The preset sampling rule comprises: selecting one of the learning resistances from the preset resistance range every interval of a preset value.

3. The method of claim 1, wherein, The preset sampling method comprises: selecting one of the test voltages from the preset voltage range every interval of a preset value.

4. The method of claim 1, wherein, The method further comprises: for each of the test voltages, setting the input voltage of the ablation device to the test voltage, and performing the following steps S times: measuring the output current through the simulation device and the output voltage across the simulation device under the test voltage; based on the output current and the output voltage, determining the output power of the ablation device, and taking the output power as one of the output powers corresponding to the test voltage.

5. The method of claim 1, wherein, The method further comprises: fitting YXS data samples by at least one preset fitting method to obtain a candidate fitting curve corresponding to each of the preset fitting methods; the preset fitting method comprises at least one of linear fitting, polynomial fitting and power function fitting; determining the target fitting curve from the candidate fitting curves.

6. The method of claim 5, wherein, The preset fitting method comprises at least two of linear fitting, polynomial fitting and power function fitting, and the method further comprises: for the candidate fitting curve corresponding to each of the preset fitting methods, comparing the fitting degrees of each of the candidate fitting curves; determining the candidate fitting curve with the largest fitting degree as the target fitting curve.

7. The method of claim 1, wherein, The method further comprises: determine the learning resistance matched with the target object based on the resistance of the target object; determine that the target fitting curve corresponding to the learning resistance matches the target object according to the learning resistance matched with the target object; determine the input voltage corresponding to the output power according to the target fitting curve matched with the target object.

8. A radio frequency control device, characterized by The method comprises the following steps: a first sampling module is configured to select N learning resistances from a preset resistance range according to a preset sampling rule; a second sampling module is configured to select Y test voltages from a preset voltage range according to a preset sampling method; an acquisition module is configured to, for each of the learning resistances, set the resistance of a simulation device for simulating a target object to the learning resistance, set each of the test voltages as an input voltage of an ablation device, determine S output powers corresponding to each of the test voltages respectively, and obtain Y×S data samples corresponding to the learning resistance; each of the data samples comprises one of the test voltages and one of the output powers corresponding to the test voltage; a fitting module is configured to fit Y×S data samples corresponding to each of the learning resistances to obtain a target fitting curve corresponding to each of the learning resistances respectively; the target fitting curve is used to indicate the corresponding relationship between the input voltage and the output power under the learning resistance, and the target fitting curve is used to control the ablation device to output radio frequency energy to the target object.

9. An electronic device, comprising: The method comprises the following steps: a memory and a processor; the memory stores executable program codes; the processor coupled with the memory invokes the executable program codes stored in the memory to execute each step in the radio frequency control method according to any one of claims 1 to 7. 10.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the radio frequency control method according to any one of claims 1 to 7.

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