Automatic frequency tracking system for high-frequency heating steam ablation equipment

Abstract

The invention relates to the technical field of frequency tracking control of ablation equipment, and discloses an automatic frequency tracking system for high-frequency heating steam ablation equipment, and the system comprises an impedance detection module which is configured to detect the load impedance of a puncture module carried by the ablation equipment; the analysis module is configured to determine resonant frequencies according to the load impedance, and the analysis module is further configured to determine a preferred resonant frequency in the resonant frequencies; the central control module is configured to determine the preset output frequency of the high-frequency power supply in the ablation equipment according to the preferred resonant frequency, and control the high-frequency power supply in the ablation equipment to output high-frequency alternating current according to the preset output frequency. By automatically detecting the load impedance and intelligently analyzing and optimizing the resonant frequency, dynamic and accurate matching of the output frequency of the high-frequency power supply is realized, so that the energy transmission efficiency and the treatment effect of ablation equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of frequency tracking control of ablation equipment, and in particular to an automatic frequency tracking system for high-frequency heating steam ablation equipment. Background Art

[0002] High-frequency steam ablation devices convert high-frequency electrical energy into thermal energy for targeted ablation of target tissue, and have been widely used in clinical fields such as tumor treatment, hemostasis, and tissue dissection. These devices typically use a high-frequency current at a specific frequency to generate Joule heating in the tissue at the load end (such as a puncture electrode or catheter). However, in actual applications, due to uneven tissue electrical properties, continuous changes in tissue state during surgery, and fluctuations in electrode contact conditions, the load impedance often changes dynamically over time, affecting the system's actual resonant state and energy efficiency output.

[0003] Most existing high-frequency power supplies offer fixed-frequency output or employ limited, step-by-step frequency adjustment, making them unable to effectively respond to real-time changes in load impedance. This results in prolonged non-resonant operation, impacting energy transmission efficiency and potentially leading to low heating efficiency, insufficient target tissue damage, or thermal damage to adjacent tissue. Some systems attempt to adjust the frequency through manual intervention or periodic scanning, but these systems suffer from delayed response, inaccurate frequency matching, and poor system stability.

[0004] Therefore, there is an urgent need for a frequency tracking technology for steam ablation equipment to solve the problem that the existing high-frequency power supply cannot respond to changes in load impedance in real time, resulting in inaccurate frequency control and low heating efficiency. Summary of the Invention

[0005] In view of this, the present invention proposes an automatic frequency tracking system for high-frequency heating steam ablation equipment, aiming to solve the problem in current technology that the existing high-frequency power supply cannot respond to changes in load impedance in real time, resulting in inaccurate frequency control and low heating efficiency.

[0006] The present invention proposes an automatic frequency tracking system for a high-frequency heating steam ablation device, comprising: an impedance detection module configured to detect the load impedance of the puncture module carried by the ablation device; an analysis module electrically connected to the impedance detection module, the analysis module being configured to determine a resonant frequency according to the load impedance, and further configured to determine a preferred resonant frequency among the resonant frequencies; The central control module is electrically connected to the analysis module and the ablation device respectively. The central control module is configured to determine the preset output frequency of the high-frequency power supply in the ablation device according to the preferred resonant frequency, and control the high-frequency power supply in the ablation device to output high-frequency alternating current according to the preset output frequency.

[0007] Further, the impedance detection module comprises: a voltage detection unit configured to acquire a voltage signal of the puncture module; a current detection unit configured to acquire a current signal of the puncture module; an A / D conversion unit electrically connected with the voltage detection unit and the current detection unit, the A / D conversion unit being configured to convert the voltage signal and the current signal of the puncture module into digital signals; an impedance determination unit electrically connected with the A / D conversion unit, the impedance determination unit being configured to determine a complex impedance based on the digital signals.

[0008] Further, when the impedance determination unit determines the complex impedance based on the digital signals, the impedance determination unit comprises: the impedance determination unit is further configured to extract frequency domain amplitude and phase information under a main frequency component by using fast Fourier transform based on the digital signals of the voltage and the current; the impedance determination unit is further configured to calculate the complex impedance of the current load based on the main frequency amplitude and the phase; the impedance determination unit is further configured to decompose the complex impedance into impedance equivalent parameters, wherein the impedance equivalent parameters comprise an equivalent resistance R and an equivalent reactance X, and the impedance determination unit is further configured to determine whether the current load is in a resonance state based on the R / X parameters.

[0009] Further, when the impedance determination unit determines whether the current load is in the resonance state based on the R / X parameters, the impedance determination unit comprises: the impedance determination unit is further configured to determine whether the current load is in the resonance state according to a relationship between the equivalent reactance X and a preset equivalent reactance configured by the impedance determination unit; when the equivalent reactance X is less than the preset equivalent reactance, the impedance determination unit determines that the current load is in the resonance state and outputs the complex impedance; when the equivalent reactance X is greater than or equal to the preset equivalent reactance, the impedance determination unit determines whether the current load is in the resonance state according to a relationship between a ratio of the R / X parameters and a preset R / X ratio configured by the impedance determination unit, wherein: if the R / X ratio is greater than the preset R / X ratio, the impedance determination unit determines that the current load is in the resonance state and outputs the complex impedance.

[0010] Further, the analysis module comprises: a collection unit electrically connected with the impedance determination unit, the collection unit being configured to collect complex impedance data; an extraction unit electrically connected with the collection unit, the extraction unit being configured to extract a plurality of effective resonance frequencies based on the complex impedance data; The identification unit is electrically connected to the extraction unit, and the identification unit is configured to perform abnormality detection on each effective resonant frequency. The identification unit is also configured to obtain a preferred resonant frequency among the remaining effective resonant frequencies after the abnormality detection based on a load characteristic index, an energy efficiency index, and a thermal response index.

[0011] Furthermore, when the extraction unit extracts a plurality of resonant frequencies based on the complex impedance data, it includes: The extraction unit is further configured to obtain complex impedance parameters at each frequency point within a preset frequency range; The extraction unit is further configured to determine the effective resonant frequency according to the equivalent reactance value in the complex impedance parameters at each frequency point and the R / X ratio between resistance and reactance: When the equivalent reactance value is less than the preset equivalent reactance value configured by the extraction unit, and / or the R / X ratio is greater than or equal to the local preset R / X ratio configured by the extraction unit, the extraction unit determines that the frequency point is the effective resonant frequency and retains it; When the equivalent reactance value is greater than or equal to the preset equivalent reactance value, or the R / X ratio is lower than the local preset R / X ratio, the extraction unit determines that the frequency at the frequency point is not the effective resonant frequency.

[0012] Furthermore, when the identification unit performs abnormal detection on each effective resonant frequency, it includes: The identification unit is further configured to obtain a change rate of the reactance value between two adjacent effective resonant frequencies and use the change rate as an indicator of the reactance value; The identification unit is further configured to determine the reactance value change rate between the effective resonant frequency and an adjacent effective resonant frequency; The identification unit is further configured to obtain a change rate difference between the reactance value change rate and the reactance value change index, and determine whether the effective resonant frequency is an abnormal resonant frequency based on a relationship between the change rate difference and a preset change rate difference configured by the identification unit: When the change rate difference is lower than the preset change rate difference, the identification unit determines that the effective resonant frequency is not an abnormal resonant frequency and retains it; When the change rate difference is higher than or equal to the preset change rate difference, the identification unit determines that the effective resonant frequency is an abnormal resonant frequency and eliminates it.

[0013] Furthermore, when the identification unit obtains the preferred resonant frequency among the remaining effective resonant frequencies after the abnormality detection based on the load characteristic index, the energy efficiency index, and the thermal response index, it includes: The identification unit is further configured to obtain an evaluation score for each effective resonant frequency according to the load characteristic index, the energy efficiency index, the thermal response index, and Formula 1: Formula 1 Among them, F(fi ) is the effective resonant frequency f i The evaluation score, L(f i ) is the effective resonant frequency f i The load characteristic evaluation function, E(f i ) is the effective resonant frequency f i Energy efficiency index evaluation function, T(f i ) is the effective resonant frequency f i Thermal response index evaluation function, w1, w2 and w3 are weight coefficients, and the sum of w1, w2 and w3 is 1; The identification unit is further configured to sort the evaluation scores of the effective resonant frequencies in reverse order, and determine the effective resonant frequency with the highest evaluation score as the preferred resonant frequency.

[0014] Furthermore, when the central control module determines the preset output frequency of the high-frequency power supply of the ablation device according to the preferred resonant frequency, it includes: The central control module is further configured to obtain a resonant frequency difference between the preferred resonant frequency and a preset resonant frequency configured in the central control module, and determine a preset output frequency based on a relationship between the resonant frequency difference and a preset frequency difference threshold configured in the central control module: When the resonant frequency difference is lower than the preset frequency difference threshold, the central control module determines that the output frequency of the high-frequency power supply in the ablation device is the preset output frequency; When the resonant frequency difference is equal to or higher than the preset frequency difference threshold, the central control module determines the adjustment coefficient based on the difference between the resonant frequency difference and the preset frequency difference threshold, and determines the output frequency adjusted according to the adjustment coefficient as the preset output frequency.

[0015] Furthermore, when the central control module determines the adjustment coefficient according to the difference between the resonant frequency difference and the preset frequency difference threshold, it includes: The central control module is further configured to determine an adjustment coefficient based on a relationship between the difference value and a first preset difference value and a second preset difference value configured in the central control module; When the difference value is lower than or equal to the first preset difference value, the central control module determines the adjustment coefficient as K1; When the difference value is higher than the first preset difference value and lower than or equal to the second preset difference value, the central control module determines the adjustment coefficient as K2; When the difference value is higher than the second preset difference value, the central control module determines the adjustment coefficient as K3; The first preset difference value is smaller than the second preset difference value, and 1<K1<K2<K3.

[0016] Compared with the prior art, the present invention offers the following advantages: by integrating an impedance detection module, an analysis module, and a central control module, it enables real-time sensing of the puncture module's load impedance, dynamic calculation of the resonant frequency, and precise control of the high-frequency power supply's output frequency, forming a closed-loop automatic frequency tracking control system. This system can continuously and automatically adjust the operating frequency based on instantaneous changes in the load state, ensuring that the high-frequency power supply always operates under optimal resonant conditions. Compared with existing high-frequency heating systems that use fixed frequencies or manual frequency switching, the present invention significantly improves the system's adaptability to differences in the electrical properties of different tissues, dynamic changes during surgery, and interference conditions. When the load impedance changes, the system can identify the new resonant frequency in a very short time and, through the central control module, achieve rapid closed-loop frequency adjustment, thereby avoiding a decrease in energy coupling efficiency and ensuring the stability and efficiency of steam generation and heat conduction. Finally, the optimal resonant frequency judgment logic provided by the analysis module, combined with a comprehensive evaluation of multi-frequency characteristics, helps the system automatically avoid unfavorable frequency bands such as electromagnetic interference and abnormal tissue resistance extremes, making the high-frequency output safer and more stable. The frequency compensation and control instruction generation unit in the central control module ensures the accuracy and response speed of the output frequency, further reducing frequency drift and lag problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be construed as limiting the present invention. The same reference numerals are used throughout the accompanying drawings to denote the same components.

[0018] In the attached figure: Figure 1 This is a functional block diagram of an automatic frequency tracking system for a high-frequency heating steam ablation device provided in an embodiment of the present invention.

[0019] Figure 2 This is a flow chart of the automatic frequency tracking system for high-frequency heating steam ablation equipment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0021] like Figure 1-Figure 2As shown, in some embodiments of the present application, this embodiment provides an automatic frequency tracking system for a high-frequency heating steam ablation device, including: an impedance detection module, an analysis module and a central control module.

[0022] Specifically, the impedance detection module is configured to detect the load impedance of the puncture module carried by the ablation device; the analysis module is electrically connected to the impedance detection module, and the analysis module is configured to determine the resonant frequency based on the load impedance, and the analysis module is also configured to determine the preferred resonant frequency among the resonant frequencies; the central control module is electrically connected to the analysis module and the ablation device respectively, and the central control module is configured to determine the preset output frequency of the high-frequency power supply in the ablation device based on the preferred resonant frequency, and control the high-frequency power supply in the ablation device to output high-frequency alternating current according to the preset output frequency.

[0023] As can be understood, the impedance detection module, as the system's sensing front-end, collects voltage and current signals between the puncture module and the target tissue, and calculates the complex impedance value from these signals. Changes in the load impedance reflect changes in the tissue's electrical characteristics (such as conductivity, water content, and structural density) during the ablation process. Through this module's continuous measurement, the system accurately tracks the load's real-time impedance state and identifies key points where impedance changes suddenly or trend. Next, the analysis module processes the complex impedance data output by the impedance detection module to extract the resonant frequency under the current load conditions. This resonant frequency can be determined using impedance spectrum analysis methods, such as fast Fourier transform (FFT) to extract the frequency domain principal components, thereby identifying the frequency point where the imaginary part of the impedance approaches zero. The analysis module not only identifies multiple possible resonant frequencies but also screens candidate frequencies based on pre-defined performance indicators (such as energy coupling efficiency and thermal response stability) to determine the optimal resonant operating frequency. Finally, the central control module, serving as the system's decision-making and control core, schedules the output parameters of the high-frequency power supply based on the preferred resonant frequency provided by the analysis module. This module uses a frequency mapping algorithm to convert the optimal resonant frequency into a practical output frequency command, which is then sent to the power control unit to dynamically adjust the high-frequency output. This allows the entire system to achieve closed-loop frequency control, ensuring that the power supply output frequency always matches the load impedance, ensuring the heating process is carried out in a highly efficient and stable resonant state.

[0024] Specifically, the impedance detection module includes: a voltage detection unit, a current detection unit, an A / D conversion unit, and an impedance determination unit. The voltage detection unit is configured to obtain a voltage signal from the puncture module; the current detection unit is configured to obtain a current signal from the puncture module; the A / D conversion unit is electrically connected to the voltage detection unit and the current detection unit, respectively, and is configured to convert the voltage signal and current signal from the puncture module into digital signals; the impedance determination unit is electrically connected to the A / D conversion unit, and the impedance calculation module is configured to determine the complex impedance based on the digital signal.

[0025] Specifically, when the impedance determination unit determines the complex impedance based on the digital signal, it includes: the impedance determination unit is also configured to use fast Fourier transform to extract the frequency domain amplitude and phase information under the main frequency component based on the digital signals of voltage and current; the impedance determination unit is also configured to calculate the complex impedance of the current load based on the main frequency amplitude and phase; the impedance determination unit is also configured to decompose the complex impedance into impedance equivalent parameters, wherein the impedance equivalent parameters include equivalent resistance R and equivalent reactance X, and the impedance determination unit is also configured to determine whether the current load is in a resonant state based on the R / X parameters.

[0026] Specifically, when the impedance determination unit determines whether the current load is in a resonant state based on the R / X parameters, it includes: the impedance determination unit is also configured to determine whether the current load is in a resonant state according to the relationship between the equivalent reactance X and the preset equivalent reactance configured by the impedance determination unit: when the equivalent reactance X is less than the preset equivalent reactance, the impedance determination unit determines that the current load is in a resonant state and outputs a complex impedance; when the equivalent reactance X is greater than or equal to the preset equivalent reactance, the impedance determination unit determines whether the current load is in a resonant state according to the relationship between the ratio between the R / X parameters and the R / X preset ratio pre-configured by the impedance determination unit, wherein: if the R / X ratio is greater than the R / X preset ratio, the impedance determination unit determines that the current load is in a resonant state and outputs a complex impedance.

[0027] It can be understood that the voltage detection unit and the current detection unit respectively monitor the high-frequency signals of the puncture module in real time. The voltage detection unit collects the voltage signal applied across the puncture module, and the current detection unit collects the current signal flowing through the puncture module. These signals are usually continuously changing analog signals, with a frequency range covering tens of kilohertz to hundreds of kilohertz, reflecting the changes in tissue electrical properties over time. Then, the A / D conversion unit synchronously samples and digitizes the aforementioned analog voltage and current signals, converting the continuous waveform signals into high-precision digital signals. This process is the basis of the entire signal processing chain, ensuring that the subsequent frequency domain analysis based on digital signals has high sampling accuracy and time resolution. After obtaining the digital signals, the impedance determination unit uses the Fast Fourier Transform (FFT) technique to perform frequency domain transformation on the voltage and current digital signals. This operation can convert time domain signals into frequency domain signals, extracting the main frequency components of the signals, i.e., the amplitude and phase information of the voltage and current at the operating frequency. By comparing the complex expressions of the voltage and current signals at the main frequency, the complex impedance Z of the current load is calculated, and it is further split into equivalent resistance R and equivalent reactance X, which are used to more intuitively reflect energy consumption and reactance characteristics. More importantly, the impedance determination unit also compares the equivalent reactance X with the preset equivalent reactance threshold, and combines the R / X ratio with the preset R / X ratio to realize high-precision identification of the resonance state. When the equivalent reactance X is lower than the set threshold, it can be directly judged as close to resonance; if X is too large, the R / X ratio is used to determine the energy efficiency matching degree to determine whether it reaches the "sub-resonance" or "approximate resonance" state. Through the above, not only the direct determination based on physical electrical parameters is realized, but also the fault tolerance and judgment accuracy of the system in complex tissue structure or frequency disturbance environment are enhanced, providing a scientific and stable data basis for the subsequent analysis module to extract the optimal resonance frequency.

[0028] It can be seen that by setting the voltage detection unit to work in conjunction with the current detection unit, high-precision synchronous detection of the voltage and current of the puncture module during the actual ablation process is realized, thereby providing a reliable raw data basis for subsequent impedance calculation. Compared with the traditional single-point measurement or current monitoring method, the present application can more comprehensively and accurately reflect the electrical characteristic changes of the ablation site tissue. By introducing the A / D conversion unit, the voltage and current analog signals are sampled in real time with high resolution, which not only improves the response speed of the system in a high-frequency dynamic environment, but also ensures that the subsequent frequency domain algorithm analysis has good signal fidelity, effectively suppressing the interference error in the analog signal transmission process. Especially crucially, the impedance determination unit in the present application performs frequency spectrum analysis on the digital signal based on the Fast Fourier Transform (FFT) technique, extracts the amplitude and phase information of the main frequency component, and then accurately calculates the complex impedance Z=R+jX of the current load. Compared with the traditional time-domain estimation algorithm, the FFT method can greatly improve the sensitivity and frequency domain resolution of the resonance state recognition, and improve the frequency adaptive ability of the system under complex load change conditions. Finally, the present application further analyzes the complex impedance into equivalent resistance R and equivalent reactance X, and introduces a combination judgment mechanism of the R / X ratio and the preset ratio, to realize multi-dimensional judgment of whether the load is in a resonance state. Compared with the traditional judgment method relying on a single reactance being zero or minimum, this method introduces tolerance judgment and energy efficiency judgment dimensions, which can effectively filter abnormal interference and improve the robustness and adaptability of the system judgment in actual application.

[0029] Specifically, the analysis module includes a collection unit, an extraction unit and an identification unit. The collection unit is electrically connected with the impedance determination unit and is configured to collect complex impedance data; the extraction unit is electrically connected with the collection unit and is configured to extract a plurality of effective resonance frequencies based on the complex impedance data; and the identification unit is electrically connected with the extraction unit and is configured to perform anomaly detection on each effective resonance frequency, and is further configured to obtain an optimal resonance frequency from the remaining effective resonance frequencies after anomaly detection based on a load characteristic index, an energy efficiency index and a thermal response index.

[0030] As will be understood, the acquisition unit is directly electrically connected to the impedance determination unit and is responsible for real-time acquisition of the complex impedance data output by the impedance determination unit. This complex impedance data contains information about the load's impedance magnitude and phase, reflecting the dynamic electrical characteristics of the ablation load over time and forming the basis for subsequent frequency analysis. Secondly, based on the acquired complex impedance data, the extraction unit uses an algorithm to conduct an in-depth analysis of the impedance variation with frequency. This unit extracts multiple "effective resonant frequencies," defined as frequencies that exhibit local extrema or meet resonance conditions on the load impedance curve. These frequencies represent the operating frequencies at which the system can achieve efficient energy transfer under the current load conditions. The extraction process relies on a combination of signal processing and mathematical models to improve recognition accuracy and stability. Finally, the recognition unit performs anomaly detection on the multiple effective resonant frequencies output by the extraction unit, eliminating anomalous frequencies caused by noise, interference, or abnormal load variations. Based on load characteristic indicators (such as impedance stability), energy efficiency indicators (such as power transmission efficiency), and thermal response indicators (such as tissue temperature trends), the recognition unit further calculates a comprehensive evaluation score for each frequency point and selects the frequency with the best overall performance as the preferred resonant frequency for the system. This process combines comprehensive judgment with multi-dimensional indicators to ensure the scientific nature of the system's automatic frequency tracking and the reliability of the treatment effect.

[0031] Specifically, when the extraction unit extracts several resonant frequencies based on the complex impedance data, it includes: the extraction unit is also configured to obtain the complex impedance parameters of each frequency point within a preset frequency range; the extraction unit is also configured to determine the effective resonant frequency based on the equivalent reactance value and the R / X ratio between resistance and reactance in the complex impedance parameters of each frequency point: when the equivalent reactance value is less than the preset equivalent reactance value configured by the extraction unit, and / or the R / X ratio is greater than or equal to the local preset R / X ratio configured by the extraction unit, the extraction unit determines that the frequency of the frequency point is the effective resonant frequency and retains it; when the equivalent reactance value is greater than or equal to the preset equivalent reactance value, or the R / X ratio is lower than the local preset R / X ratio, the extraction unit determines that the frequency of the frequency point is not the effective resonant frequency.

[0032] Specifically, when the identification unit performs anomaly detection on each valid resonant frequency, the identification unit is further configured to obtain a change rate of the reactance value between two valid resonant frequencies adjacent to the valid resonant frequency, and take the change rate as a reactance value change indicator; the identification unit is further configured to obtain the change rate of the reactance value between the valid resonant frequency and the adjacent valid resonant frequency; the identification unit is further configured to obtain a change rate difference between the change rate and the reactance value change indicator, and determine whether the valid resonant frequency is an abnormal resonant frequency according to a relationship between the change rate difference and a preset change rate difference configured by the identification unit; when the change rate difference is lower than the preset change rate difference, the identification unit determines that the valid resonant frequency is not an abnormal resonant frequency, and performs reservation; when the change rate difference is higher than or equal to the preset change rate difference, the identification unit determines that the valid resonant frequency is an abnormal resonant frequency, and performs elimination.

[0033] Specifically, when the identification unit obtains a preferred resonant frequency from each valid resonant frequency remaining after anomaly detection based on the load characteristic indicator, the energy efficiency indicator, and the thermal response indicator, the identification unit is further configured to obtain an evaluation score of each valid resonant frequency according to the load characteristic indicator, the energy efficiency indicator, the thermal response indicator, and Formula 1. Formula 1 wherein F(f i ) is the evaluation score of the valid resonant frequency f i , L(f i ) is a load characteristic evaluation function of the valid resonant frequency f i , E(f i ) is an energy efficiency indicator evaluation function of the valid resonant frequency f i , T(f i ) is a thermal response indicator evaluation function of the valid resonant frequency f i , w1, w2, and w3 are weight coefficients, and the sum of w1, w2, and w3 is 1; the identification unit is further configured to sort the evaluation scores of each valid resonant frequency in descending order, and determine the valid resonant frequency with the first evaluation score as the preferred resonant frequency.

[0034] It can be understood that the extraction unit obtains the complex impedance parameters corresponding to each frequency point through the preset frequency scanning range, and focuses on the equivalent reactance value and the ratio of resistance to reactance (R / X). Based on the two key parameters, the extraction unit determines whether a frequency point has resonance characteristics: when the equivalent reactance value is less than a preset threshold or the R / X ratio reaches or exceeds a local preset standard, it indicates that the frequency point can effectively match the load and achieve efficient energy transmission, and therefore is determined as an effective resonance frequency and retained. Otherwise, the frequency point is excluded. This determination method effectively combines the capacitive reactance characteristics of impedance and the energy efficiency ratio, improving the accuracy and reliability of resonance frequency extraction. Secondly, after obtaining the set of effective resonance frequencies, the identification unit further detects the abnormality of each frequency point. The technical means is to calculate the reactance value change rate between adjacent effective resonance frequencies, and identify the abnormality of the frequency point by comparing the change rate with a preset change rate difference. When the change rate difference exceeds the preset threshold, it indicates that the impedance characteristics of the frequency point have sudden changes or abnormal fluctuations, which may be caused by interference or unstable factors of the load, and therefore is determined as an abnormal resonance frequency and excluded. This technical means effectively filters invalid or misjudged frequencies, ensuring the stability of the resonance frequency and the safety of the system operation. Further, the identification unit comprehensively evaluates the remaining effective resonance frequencies based on a multi-dimensional index system. The indexes used include load characteristic indexes (reflecting the stability and matching of the load), energy efficiency indexes (reflecting the efficiency of energy transmission at the frequency), and thermal response indexes (reflecting the thermal response of the organization to the heating frequency). Through formula 1, these indexes are assigned weights to calculate the comprehensive evaluation score of each frequency. The setting of weight coefficients w1, w2, w3 allows the importance of each index to be flexibly adjusted according to specific needs, reflecting the adaptive and intelligent optimization capability of the system. Finally, the frequency with the highest evaluation score is selected as the preferred resonance frequency, providing a scientific basis for the output frequency of the subsequent high-frequency power supply.

[0035] As can be seen, by using the equivalent reactance value and R / X ratio in the complex impedance data as screening criteria in the extraction unit, the system can accurately capture the dynamic characteristics of the load. Compared to methods that rely solely on a single impedance parameter, this solution achieves multi-dimensional frequency determination, effectively improving the sensitivity and accuracy of effective resonant frequency detection. For high-frequency heated steam ablation devices, this means faster response to changes in tissue state, ensuring optimal energy delivery and avoiding energy waste or reduced therapeutic efficacy due to frequency offset. Secondly, the identification unit uses the reactance value change rate as an indicator for abnormal frequency detection, enhancing the system's ability to identify transient abnormal fluctuations. Reactance value changes often reflect rapid or abnormal changes in the load environment. By setting appropriate preset thresholds, erroneous resonant frequencies caused by noise interference, sudden load fluctuations, or system anomalies can be dynamically filtered out. This not only ensures real-time frequency tracking stability but also reduces the risk of tissue thermal damage caused by incorrect frequency selection, thereby improving the safety and reliability of treatment. Furthermore, this solution comprehensively considers three key indicators: load characteristics, energy efficiency, and thermal response. Combining weighting coefficients, it constructs a comprehensive evaluation function to scientifically rank multiple effective resonant frequencies. This multi-index integrated evaluation system enables the system to comprehensively optimize frequency selection from both electrical performance and actual clinical effects, adapting to different patient tissue types and treatment needs, enhancing the device's personalized adaptability, and improving treatment accuracy and patient comfort. Finally, this comprehensive evaluation mechanism supports dynamic weight adjustment, allowing for real-time correction of weight parameters based on feedback data during actual treatment, enabling adaptive optimization. This adaptive capability not only enhances the system's intelligence but also lays the foundation for the future introduction of advanced algorithms such as machine learning, driving the development of more efficient and intelligent devices.

[0036] Specifically, when the central control module determines the preset output frequency of the high-frequency power supply in the ablation device based on the preferred resonant frequency, it includes: the central control module is also configured to obtain the resonant frequency difference between the preferred resonant frequency and the preset resonant frequency configured by the central control module, and determine the preset output frequency based on the relationship between the resonant frequency difference and the preset frequency difference threshold configured by the central control module: when the resonant frequency difference is lower than the preset frequency difference threshold, the central control module determines that the output frequency of the high-frequency power supply in the ablation device is the preset output frequency; when the resonant frequency difference is equal to or higher than the preset frequency difference threshold, the central control module determines the adjustment coefficient based on the difference between the resonant frequency difference and the preset frequency difference threshold, and determines the output frequency adjusted according to the adjustment coefficient as the preset output frequency.

[0037] Specifically, when the central control module determines the adjustment coefficient based on the difference value between the resonant frequency difference and the preset frequency difference threshold, it includes: the central control module is also configured to determine the adjustment coefficient based on the relationship between the difference value and the first preset difference value and the second preset difference value configured by the central control module; when the difference value is lower than or equal to the first preset difference value, the central control module determines the adjustment coefficient to be K1; when the difference value is higher than the first preset difference value, and the difference value is lower than or equal to the second preset difference value, the central control module determines the adjustment coefficient to be K2; when the difference value is higher than the second preset difference value, the central control module determines the adjustment coefficient to be K3; wherein, the first preset difference value is less than the second preset difference value, and 1<K1<K2<K3.

[0038] As can be understood, by acquiring the difference between the preferred resonant frequency and the preset resonant frequency in real time, the central control module can accurately detect resonant frequency shifts caused by load impedance and environmental changes. This dynamic detection of frequency differences provides a precise input basis for subsequent frequency adjustments, enabling the system to flexibly respond to external changes and maintain the device operating in the optimal resonant state, thereby improving energy transmission efficiency and therapeutic efficacy. Furthermore, the use of multiple difference thresholds and corresponding adjustment coefficients is a key innovation of this technology. Unlike traditional simple on-off frequency modulation methods, this mechanism adjusts the output frequency in stages based on the magnitude of the frequency difference, avoiding sudden changes and instability during the frequency adjustment process. This hierarchical adjustment strategy not only ensures a smooth adjustment transition but also improves the system's robustness and response speed, preventing energy efficiency loss and equipment damage caused by overly fast or slow frequency adjustments. Finally, by using the preset first and second preset difference values ​​and the corresponding adjustment coefficients K1, K2, and K3, a piecewise nonlinear adjustment function is formed that can precisely match varying degrees of frequency deviation. This refined regulation mode not only takes into account the system's sensitive response to tiny frequency deviations, but also can take more powerful regulation measures when facing larger frequency changes, ensuring that the output frequency of the high-frequency power supply always keeps pace with the load resonance state, achieving continuous and efficient energy coupling.

[0039] It can be seen that through the real-time monitoring and analysis of the difference between the preferred resonant frequency and the preset resonant frequency by the central control module, the intelligent adjustment of the output frequency of the high-frequency power supply is realized. This dynamic adjustment mechanism can make the output frequency of the ablation device closely match the actual resonant frequency of the load, effectively avoid the reduction of energy transmission efficiency caused by frequency mismatch, ensure the device to run in the best working state, and thus improve the accuracy and effect of treatment. In addition, setting a graded preset frequency difference threshold and corresponding adjustment coefficient helps to realize smooth transition and flexible response of frequency adjustment. By applying different adjustment coefficients according to the difference value, the system can avoid sharp fluctuations in the frequency adjustment process and reduce the risk of oscillation and damage caused by sudden frequency changes. This not only improves the stability of the device, but also prolongs the service life of the ablation device. Finally, this segmented adjustment mechanism enables the system to take appropriate frequency correction according to the severity of the resonant frequency deviation, both finely adjusting small deviations and quickly responding to larger deviations, ensuring the continuity and consistency of the heating process. This mechanism significantly enhances the safety and energy efficiency of the ablation process and improves the intelligent level of the entire treatment system.

[0040] In the above embodiments, by integrating the impedance detection module, the analysis module and the central control module, real-time perception of the load impedance of the puncture module, dynamic calculation of the resonant frequency and precise control of the output frequency of the high-frequency power supply are realized, forming a closed-loop automatic frequency tracking control system. The system can continuously and automatically adjust the working frequency according to the instantaneous changes of the load state, so that the high-frequency power supply always works in the best resonant condition. Compared with the existing high-frequency heating system using fixed frequency or manual frequency switching, the technical scheme of the present application can significantly improve the self-adaptive ability of the system to different tissue electrical differences, intraoperative dynamic changes and interference conditions. When the load impedance changes, the system can identify the new resonant frequency in a very short time and realize rapid closed-loop adjustment of the frequency through the central control module, thereby avoiding the decrease of energy coupling efficiency and ensuring the stability and efficiency of steam generation and heat conduction. Finally, the preferred resonant frequency judgment logic provided by the analysis module, combined with the comprehensive evaluation of the multi-frequency point characteristics, helps the system to automatically avoid unfavorable frequency bands such as electromagnetic interference and abnormal tissue resistance extreme values, making the high-frequency output more secure and stable. The frequency compensation and control instruction generation unit in the central control module ensures the accuracy and response speed of the output frequency, further reducing the frequency drift and lag problems.

[0041] Those skilled in the art will appreciate that embodiments of the application can be supplied as a method, a system or a computer program product. Accordingly, the application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the application can be embodied in the form of a computer program product on one or more computer readable storage media (including, without limitation, magnetic disks; optical disks; magneto-optical disks; ROMs; flash memory; etc.) having computer usable program code embodied therein.

[0042] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0043] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0044] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0045] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing and illustrating, not limiting, the technical solutions of the present application. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.

Claims

1. An automatic frequency tracking system for high-frequency steam ablation equipment, characterized in that: include: an impedance detection module configured to detect the load impedance of the puncture module carried by the ablation device; an analysis module electrically connected to the impedance detection module, the analysis module being configured to determine a resonant frequency according to the load impedance, and further configured to determine a preferred resonant frequency among the resonant frequencies; The central control module is electrically connected to the analysis module and the ablation device respectively. The central control module is configured to determine the preset output frequency of the high-frequency power supply in the ablation device according to the preferred resonant frequency, and control the high-frequency power supply in the ablation device to output high-frequency alternating current according to the preset output frequency.

2. The automatic frequency tracking system for high-frequency heating steam ablation equipment according to claim 1, characterized in that: Impedance detection module, including: a voltage detection unit, configured to obtain a voltage signal from the puncture module; a current detection unit, configured to obtain a current signal from the puncture module; An A / D conversion unit, electrically connected to the voltage detection unit and the current detection unit, respectively, and configured to convert the voltage signal and the current signal of the puncture module into digital signals; The impedance determination unit is electrically connected to the A / D conversion unit, and the impedance calculation module is configured to determine the complex impedance based on the digital signal.

3. The automatic frequency tracking system for high-frequency steam heating ablation equipment according to claim 2, characterized in that: The impedance determination unit determines the complex impedance based on the digital signal, including: The impedance determination unit is further configured to extract frequency domain amplitude and phase information of the main frequency component using fast Fourier transform based on the digital signals of voltage and current; The impedance determination unit is further configured to calculate the complex impedance of the current load based on the main frequency amplitude and phase; The impedance determination unit is further configured to decompose the complex impedance into impedance equivalent parameters, wherein the impedance equivalent parameters include equivalent resistance R and equivalent reactance X. The impedance determination unit is further configured to determine whether the current load is in a resonant state based on the R / X parameters.

4. The automatic frequency tracking system for high-frequency steam heating ablation equipment according to claim 3, characterized in that: When the impedance determination unit determines whether the current load is in a resonant state based on the R / X parameter, it includes: The impedance determination unit is further configured to determine whether the current load is in a resonant state according to a relationship between the equivalent reactance X and a preset equivalent reactance configured by the impedance determination unit: When the equivalent reactance X is less than the preset equivalent reactance, the impedance determination unit determines that the current load is in a resonant state and outputs a complex impedance; When the equivalent reactance X is greater than or equal to the preset equivalent reactance, the impedance determination unit determines whether the current load is in a resonant state based on the relationship between the ratio between the R / X parameters and the R / X preset ratio preconfigured by the impedance determination unit, wherein: If the R / X ratio is greater than the R / X preset ratio, the impedance determination unit determines that the current load is in a resonant state and outputs a complex impedance.

5. The automatic frequency tracking system for high-frequency steam heating ablation equipment according to claim 2, characterized in that: Analysis modules, including: an acquisition unit, electrically connected to the impedance determination unit, and configured to acquire complex impedance data; an extraction unit, electrically connected to the acquisition unit, configured to extract a plurality of effective resonant frequencies based on the complex impedance data; The identification unit is electrically connected to the extraction unit, and the identification unit is configured to perform abnormality detection on each effective resonant frequency. The identification unit is also configured to obtain a preferred resonant frequency among the remaining effective resonant frequencies after the abnormality detection based on a load characteristic index, an energy efficiency index, and a thermal response index.

6. The automatic frequency tracking system for high-frequency steam heating ablation equipment according to claim 5, characterized in that: When the extraction unit extracts a plurality of resonant frequencies based on the complex impedance data, it includes: The extraction unit is further configured to obtain complex impedance parameters at each frequency point within a preset frequency range; The extraction unit is further configured to determine the effective resonant frequency according to the equivalent reactance value in the complex impedance parameters at each frequency point and the R / X ratio between resistance and reactance: When the equivalent reactance value is less than the preset equivalent reactance value configured by the extraction unit, and / or the R / X ratio is greater than or equal to the local preset R / X ratio configured by the extraction unit, the extraction unit determines that the frequency point is the effective resonant frequency and retains it; When the equivalent reactance value is greater than or equal to the preset equivalent reactance value, or the R / X ratio is lower than the local preset R / X ratio, the extraction unit determines that the frequency at the frequency point is not the effective resonant frequency.

7. The automatic frequency tracking system for high-frequency steam heating ablation equipment according to claim 6, characterized in that: When the identification unit performs abnormal detection on each effective resonant frequency, it includes: The identification unit is further configured to obtain a change rate of the reactance value between two adjacent effective resonant frequencies and use the change rate as an indicator of the reactance value; The identification unit is further configured to determine the reactance value change rate between the effective resonant frequency and an adjacent effective resonant frequency; The identification unit is further configured to obtain a change rate difference between the reactance value change rate and the reactance value change index, and determine whether the effective resonant frequency is an abnormal resonant frequency based on a relationship between the change rate difference and a preset change rate difference configured by the identification unit: When the change rate difference is lower than the preset change rate difference, the identification unit determines that the effective resonant frequency is not an abnormal resonant frequency and retains it; When the change rate difference is higher than or equal to the preset change rate difference, the identification unit determines that the effective resonant frequency is an abnormal resonant frequency and eliminates it.

8. The automatic frequency tracking system for high-frequency heating steam ablation equipment according to claim 7, characterized in that: The identification unit obtains the preferred resonant frequency from the remaining valid resonant frequencies after the abnormality detection based on the load characteristic index, the energy efficiency index, and the thermal response index, including: The identification unit is further configured to obtain an evaluation score for each effective resonant frequency according to the load characteristic index, the energy efficiency index, the thermal response index, and Formula 1: Formula 1 Among them, F(f i ) is the effective resonant frequency f i The evaluation score, L(f i ) is the effective resonant frequency f i The load characteristic evaluation function, E(f i ) is the effective resonant frequency f i Energy efficiency index evaluation function, T(f i ) is the effective resonant frequency f i Thermal response index evaluation function, w1, w2 and w3 are weight coefficients, and the sum of w1, w2 and w3 is 1; The identification unit is further configured to sort the evaluation scores of the effective resonant frequencies in reverse order, and determine the effective resonant frequency with the highest evaluation score as the preferred resonant frequency.

9. The automatic frequency tracking system for high-frequency steam heating ablation equipment according to claim 1, characterized in that: When the central control module determines the preset output frequency of the high frequency power supply of the ablation device according to the preferred resonant frequency, it includes: The central control module is further configured to obtain a resonant frequency difference between the preferred resonant frequency and a preset resonant frequency configured in the central control module, and determine a preset output frequency based on a relationship between the resonant frequency difference and a preset frequency difference threshold configured in the central control module: When the resonant frequency difference is lower than the preset frequency difference threshold, the central control module determines that the output frequency of the high-frequency power supply in the ablation device is the preset output frequency; When the resonant frequency difference is equal to or higher than the preset frequency difference threshold, the central control module determines the adjustment coefficient based on the difference between the resonant frequency difference and the preset frequency difference threshold, and determines the output frequency adjusted according to the adjustment coefficient as the preset output frequency.

10. The automatic frequency tracking system for high-frequency heating steam ablation equipment according to claim 9, characterized in that: The central control module determines the adjustment coefficient based on the difference between the resonant frequency difference and the preset frequency difference threshold, including: The central control module is further configured to determine an adjustment coefficient based on a relationship between the difference value and a first preset difference value and a second preset difference value configured in the central control module; When the difference value is lower than or equal to the first preset difference value, the central control module determines the adjustment coefficient as K1; When the difference value is higher than the first preset difference value and lower than or equal to the second preset difference value, the central control module determines the adjustment coefficient as K2; When the difference value is higher than the second preset difference value, the central control module determines the adjustment coefficient as K3; The first preset difference value is smaller than the second preset difference value, and 1<K1<K2<K3.

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