A dynamic power distribution system for high-frequency heating steam ablation equipment

Abstract

The present invention relates to the technical field of steam ablation power control, and specifically to a dynamic power distribution system for high-frequency heating steam ablation equipment, comprising: a data acquisition module for detecting real-time temperature data, real-time steam flow data, and real-time resonant impedance data; a data processing module for determining the treatment speed of the treatment area based on the real-time resonant impedance data, and determining the temperature response speed and steam transfer speed based on the treatment speed and real-time temperature data and real-time steam flow data; an overheating risk determination module for determining the overheating risk value of the treatment area based on the temperature response speed and steam transfer speed; a dynamic power distribution module for determining the temperature adjustment amount and steam flow adjustment amount based on the overheating risk value, and adjusting the power and frequency of the steam generator and high-frequency generator of the equipment. The present invention can monitor the temperature, steam flow, and impedance data of the treatment area in real time, control the treatment process, and avoid treatment risks caused by overheating.

Description

Technical Field

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

[0002] In the medical field, high-frequency steam ablation, a novel treatment modality, is increasingly being applied to treat a variety of conditions, such as lung diseases and tumors. This technology delivers high-temperature steam to diseased tissue, leveraging the steam's thermal energy to induce coagulative necrosis, thereby achieving therapeutic efficacy. However, current high-frequency steam ablation devices suffer from numerous shortcomings in power control. Traditional power control methods often rely on a single temperature feedback mechanism, failing to fully account for the complex thermodynamic changes during treatment. During treatment, due to the heterogeneity of human tissue and the propagation characteristics of steam within tissue, temperature distributions vary significantly across different regions, making it prone to localized overheating and insufficient treatment. Localized overheating can damage normal tissue, while insufficient treatment prevents complete elimination of diseased tissue, creating blind spots in treatment. Furthermore, power control based on a single temperature feedback mechanism cannot adjust power in real time based on multiple factors, such as steam flow rate and tissue impedance. This results in inefficient energy utilization and unnecessary energy waste. Therefore, there is an urgent need for a system that can monitor the temperature distribution of the treatment area in real time and dynamically adjust power based on multiple parameters to achieve global temperature balance. Summary of the Invention

[0003] The purpose of the present invention is to provide a dynamic power distribution system for high-frequency heating steam ablation equipment, aiming to solve the above problems.

[0004] The present invention provides a dynamic power distribution system for a high-frequency heating steam ablation device, which is applied to the high-frequency heating steam ablation device. The device includes a high-frequency generator, a steam generator, and an ablation electrode. The high-frequency generator and steam generator act on the target tissue in the treatment area. The system includes:

[0005] The data acquisition module includes a temperature sensor array, a flow sensor, and an impedance sensor. The temperature sensor array is arranged at the steam generator output pipe and the end of the needle tube to detect real-time temperature data; the flow sensor is arranged at the steam generator output pipe to detect real-time steam flow data; and the impedance sensor is arranged at the treatment area to detect real-time resonant impedance data of the treatment area.

[0006] a data processing module configured to determine a treatment speed and an initial resonant frequency of a treatment area based on the real-time resonant impedance data, determine a temperature response speed based on the treatment speed and the real-time temperature data, and determine a steam delivery speed based on the treatment speed and the real-time steam flow data;

[0007] an overheating risk determination module, configured to determine an overheating risk value of a treatment area based on the temperature response speed and the steam transfer speed, determine an overheating risk level of the treatment area based on the overheating risk value, and issue an early warning prompt based on the overheating risk level;

[0008] The dynamic power allocation module is configured to determine a temperature adjustment coefficient and a steam flow adjustment coefficient according to the overheating risk level when an early warning prompt is received; determine a temperature adjustment amount of the real-time temperature data based on the temperature adjustment coefficient, determine a steam flow adjustment amount of the real-time steam flow data based on the steam flow adjustment coefficient, adjust the power of the steam generator according to the temperature adjustment amount and the steam flow adjustment amount, and adjust the frequency of the high-frequency generator according to the real-time resonant impedance data and the initial resonant frequency.

[0009] Preferably, when the data processing module determines the treatment speed and the initial resonant frequency of the treatment area according to the real-time resonant impedance data, the treatment speed is determined according to the following formula:

[0010] v = vbase × f (r, k1);

[0011] Where r = Z / Zref, f(r, k1) = 1 + k1 × (r-1);

[0012] In the above formula, v represents the treatment speed, vbase represents the treatment speed under standard conditions, f(r, k1) represents the function based on the impedance ratio and the impedance sensitivity coefficient, r represents the impedance ratio, k1 represents the impedance sensitivity coefficient, Z represents the real-time impedance value of the treatment area, and Zref represents the reference impedance value;

[0013] The method for determining the initial resonant frequency is:

[0014] The impedance-frequency characteristic curves of different tissues are preset;

[0015] determining a tissue type of a target tissue in the treatment area, screening the impedance-frequency characteristic curve according to the tissue type, and determining an impedance-frequency characteristic curve corresponding to the tissue type;

[0016] Based on the screened impedance-frequency characteristic curve, the initial resonant frequency of the treatment area is determined according to the initial impedance value in the real-time resonant impedance data.

[0017] Preferably, when the data processing module determines the temperature response speed based on the treatment speed and the real-time temperature data, the temperature response speed is determined according to the following formula:

[0018] ;

[0019] Wherein, RT represents the temperature response speed, v represents the treatment speed, vbase represents the treatment speed under standard conditions, T represents the real-time temperature, and Tref represents the temperature under standard conditions.

[0020] Preferably, when the data processing module determines the steam delivery speed based on the treatment speed and the real-time steam flow data, the steam delivery speed is calculated according to the following formula:

[0021] ;

[0022] Where Rs represents the steam transfer velocity, k2 represents the steam transfer efficiency coefficient, v represents the treatment velocity, A represents the cross-sectional area of ​​the treatment area, and Qs represents the real-time steam flow rate.

[0023] Preferably, when the overheating risk determination module determines the overheating risk value of the treatment area according to the temperature response speed and the steam transfer speed, the overheating risk value is determined according to the following formula:

[0024] ;

[0025] Where H represents the overheating risk value, RT represents the temperature response rate, Rs represents the steam transfer rate, a and b represent the weight coefficients, and c represents the interaction coefficient.

[0026] Preferably, the overheating risk determination module determines the overheating risk level of the treatment area according to the overheating risk value, and issues an early warning prompt according to the overheating risk level, including:

[0027] Presetting a first overheating risk value and a second overheating risk value, wherein the first overheating risk value is smaller than the second overheating risk value;

[0028] setting an overheating risk level according to a relationship between the overheating risk value and the first overheating risk value and the second overheating risk value, and issuing an early warning prompt according to the overheating risk level;

[0029] If the overheating risk value is less than the first overheating risk value, the overheating risk level is determined to be a low level risk, and a low level warning is issued;

[0030] If the overheating risk value is greater than or equal to the first overheating risk value, and the overheating risk level is less than the second overheating risk value, the overheating risk level is determined to be a medium risk, and a medium warning is issued;

[0031] If the overheating risk value is greater than or equal to the second overheating risk value, the overheating risk level is determined to be a high-level risk, and an advanced warning is issued.

[0032] Preferably, the dynamic power allocation module is configured to determine a temperature adjustment coefficient and a steam flow adjustment coefficient according to the overheating risk level when receiving an early warning prompt, including:

[0033] If the warning prompt is a low-level warning, the temperature adjustment coefficient is determined to be the first temperature adjustment coefficient W1, and the steam flow adjustment coefficient is determined to be the first steam flow adjustment coefficient L1;

[0034] If the warning prompt is a medium warning, the temperature adjustment coefficient is determined to be the second temperature adjustment coefficient W2, and the steam flow adjustment coefficient is determined to be the second steam flow adjustment coefficient L2;

[0035] If the warning prompt is a high-level warning, the temperature adjustment coefficient is determined to be the third temperature adjustment coefficient W3, and the steam flow adjustment coefficient is determined to be the third steam flow adjustment coefficient L3;

[0036] Among them, 0.5<W1<W2<W3<1, 0.5<L1<L2<L3<1.

[0037] Preferably, when the dynamic power allocation module determines the temperature adjustment amount of the real-time temperature data based on the temperature adjustment coefficient and determines the steam flow adjustment amount of the real-time steam flow data based on the steam flow adjustment coefficient,

[0038] The temperature adjustment amount is determined according to the following formula:

[0039] ΔT=T×Wi(i=1, 2, 3);

[0040] The steam flow adjustment amount is determined according to the following formula:

[0041] ΔQ=Qs×Li(i=1, 2, 3);

[0042] In the above formula, ΔT represents the temperature adjustment amount, T represents the real-time temperature, Wi represents the i-th temperature adjustment coefficient, ΔQ represents the steam flow adjustment amount, Qs represents the real-time steam flow, and Li represents the i-th steam flow adjustment coefficient.

[0043] Preferably, the dynamic power allocation module adjusts the power of the steam generator according to the temperature adjustment amount and the steam flow adjustment amount, including:

[0044] Obtaining the initial power of the steam generator of the high-frequency heating steam ablation device;

[0045] Adjusting the initial power according to the temperature adjustment amount and the steam flow adjustment amount to obtain a power adjustment value;

[0046] Adjusting the power of the steam generator of the high-frequency heating steam ablation device according to the power adjustment value;

[0047] The power adjustment value is calculated according to the following formula:

[0048] P=P0+q1ΔT+q2ΔQ;

[0049] Wherein, P represents the power adjustment value, P0 represents the initial power, q1 represents the temperature adjustment weight, ΔT represents the temperature adjustment amount, q2 represents the steam flow adjustment weight, and ΔQ represents the steam flow adjustment amount.

[0050] Preferably, the dynamic power allocation module adjusts the frequency of the high-frequency generator according to the real-time resonant impedance data and the initial resonant frequency, including:

[0051] determining an impedance change rate according to the real-time resonant impedance data, comparing the impedance change rate with an impedance threshold, and adjusting the frequency of a high-frequency generator according to the resonant frequency if the impedance change rate is greater than or equal to the impedance threshold;

[0052] The impedance threshold is determined as follows:

[0053] The complete ablation impedance value of different tissue types was measured through in vitro experiments, and the complete ablation impedance value was set as the impedance threshold;

[0054] and / or, using expert experience to determine the impedance threshold;

[0055] Adjusting the frequency of the high-frequency generator according to the initial resonant frequency includes:

[0056] Determine the impedance deviation, and determine the resonant frequency adjustment value according to the initial resonant frequency and the impedance deviation. The resonant frequency adjustment value is set to fnew and is calculated according to the following formula: new =f old +Kp×ΔZ; where f old represents the initial resonant frequency, Kp represents the proportional coefficient, and ΔZ represents the impedance deviation;

[0057] Or, with the goal of minimizing impedance, iteratively obtain the resonant frequency adjustment value, calculated according to the following formula: F new =f old ±Δf, step size Δf=1-5kHz.

[0058] Compared with existing technologies, the present invention offers significant advantages in that it uses multiple sensors to monitor temperature, steam flow, and impedance data in real time. The data processing module determines the treatment rate based on the impedance data and, combined with the temperature and steam flow data, precisely controls the temperature response speed and steam delivery speed. This enables multi-dimensional, precise adjustment to accommodate different tissue characteristics, avoiding the inaccuracies of single-parameter control in traditional devices and ensuring the safety and effectiveness of treatment.

[0059] The overheat risk determination module determines the overheat risk value and level based on temperature response speed and steam transfer rate, and issues timely warnings. This allows operators to understand potential hazards. Upon receiving the warning, the dynamic power allocation module determines temperature and steam flow adjustment factors based on the overheat risk level, flexibly adjusting the high-frequency power supply. This involves small adjustments in the event of mild overheating and significant power reductions in the event of severe overheating, effectively avoiding the problems associated with the crude response methods of traditional equipment.

[0060] Through precise data monitoring, personalized parameter adjustment, effective overheating risk warning and flexible power adjustment strategy, the present invention can improve the therapeutic effect of high-frequency heating steam ablation equipment, reduce damage to normal tissue, and provide safer and more effective technical support for clinical treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0062] Figure 1 This is a functional block diagram of a dynamic power distribution system for high-frequency heating steam ablation equipment of the present invention.

[0063] Figure 2 is a flow chart of a dynamic power allocation method in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0065] like Figure 1 As shown, the present invention provides a dynamic power distribution system for a high-frequency heating steam ablation device, which is applied to the high-frequency heating steam ablation device. The device includes a high-frequency generator, a steam generator, and an ablation electrode. The high-frequency generator and the steam generator act on the target tissue in the treatment area. The system includes:

[0066] The data acquisition module includes a temperature sensor array, a flow sensor and an impedance sensor. The temperature sensor array is arranged at the steam generator output pipe and the end of the needle tube to detect real-time temperature data; the flow sensor is arranged at the steam generator output pipe to detect real-time steam flow data; the impedance sensor is arranged in the treatment area to detect real-time resonant impedance data of the treatment area.

[0067] The data processing module is configured to determine a treatment speed and an initial resonant frequency of the treatment area based on the real-time resonant impedance data, determine a temperature response speed based on the treatment speed and the real-time temperature data, and determine a steam transfer speed based on the treatment speed and the real-time steam flow data.

[0068] The overheating risk determination module is configured to determine an overheating risk value of the treatment area based on the temperature response speed and the steam transfer speed, determine an overheating risk level of the treatment area based on the overheating risk value, and issue an early warning prompt based on the overheating risk level.

[0069] The dynamic power allocation module is configured to determine a temperature adjustment coefficient and a steam flow adjustment coefficient according to the overheating risk level when an early warning prompt is received; determine a temperature adjustment amount of the real-time temperature data based on the temperature adjustment coefficient, determine a steam flow adjustment amount of the real-time steam flow data based on the steam flow adjustment coefficient, adjust the power of the steam generator according to the temperature adjustment amount and the steam flow adjustment amount, and adjust the frequency of the high-frequency generator according to the real-time resonant impedance data and the initial resonant frequency.

[0070] The present invention can monitor the temperature, steam flow and impedance data of the treatment area in real time, thereby accurately controlling the treatment process and effectively avoiding the treatment risks caused by overheating. By analyzing the collected data through the data processing module, the treatment speed, initial resonant frequency, temperature response speed and steam transfer speed can be accurately judged, and then the overheating risk determination module evaluates the overheating risk level and issues an early warning prompt. Once the early warning is received, the dynamic power allocation module can respond quickly and adjust the high-frequency power supply of the high-frequency heating steam ablation device according to the overheating risk level to ensure the safety and effectiveness of the treatment process. This dynamic power allocation system not only improves the accuracy and safety of treatment, but also optimizes energy utilization efficiency, providing patients with a more reliable and comfortable treatment experience.

[0071] In some embodiments of the present application, when the data processing module determines the treatment speed and the initial resonant frequency of the treatment area according to the real-time resonant impedance data, the treatment speed is determined according to the following formula:

[0072] v = vbase × f (r, k1);

[0073] Where r = Z / Zref, f(r, k1) = 1 + k1 × (r-1);

[0074] In the above formula, v represents the treatment speed, vbase represents the treatment speed under standard conditions, f(r, k1) represents the function based on the impedance ratio and the impedance sensitivity coefficient, r represents the impedance ratio, k1 represents the impedance sensitivity coefficient, Z represents the real-time impedance value of the treatment area, and Zref represents the reference impedance value;

[0075] The method for determining the initial resonant frequency is:

[0076] The impedance-frequency characteristic curves of different tissues are preset;

[0077] determining a tissue type of a target tissue in the treatment area, screening the impedance-frequency characteristic curve according to the tissue type, and determining an impedance-frequency characteristic curve corresponding to the tissue type;

[0078] Based on the screened impedance-frequency characteristic curve, the initial resonant frequency of the treatment area is determined according to the initial impedance value in the real-time resonant impedance data.

[0079] It's understandable that by introducing the concepts of impedance sensitivity coefficient and impedance ratio, the actual condition of the treatment area can be more accurately reflected, enabling refined adjustments to the treatment speed. This adjustment method not only improves the accuracy and stability of treatment, but also helps reduce uncertainty and risk during the treatment process. At the same time, this technical solution also takes into account the differences and treatment needs of different patients. By adjusting the impedance sensitivity coefficient, personalized treatment can be achieved for different patients, further improving the targetedness and effectiveness of treatment.

[0080] In this application, treatment speed measures the speed at which a high-frequency heated steam ablation device ablates target tissue within the treatment area. It reflects the rate of progress of the treatment. Its core characteristic is the rate of change of spatial scale over time, so the dimension is length / time. Given the precision requirements for tissue ablation in the medical field, reasonable units are typically millimeters per second (mm / s) or meters per minute (mm / min). The specific unit can be determined based on actual conditions; millimeters per second (mm / s) is generally used. The impedance sensitivity coefficient k1 is in the range [0.1, 0.8].

[0081] In some embodiments of the present application, when the data processing module determines the temperature response speed based on the treatment speed and the real-time temperature data, the temperature response speed is determined according to the following formula:

[0082] ;

[0083] Wherein, RT represents the temperature response speed, v represents the treatment speed, vbase represents the treatment speed under standard conditions, T represents the real-time temperature, and Tref represents the temperature under standard conditions.

[0084] It is understandable that by combining treatment speed and real-time temperature data to determine the temperature response speed, a more comprehensive assessment of temperature changes during treatment can be achieved, thereby enabling refined adjustments to temperature control. This adjustment method not only improves the accuracy and stability of temperature control, but also helps reduce the discomfort and risks caused by temperature changes. At the same time, this technical solution also takes into account the various temperature changes that may occur during treatment. By dynamically adjusting the treatment speed, flexible control of the temperature response speed can be achieved, further improving the comfort and safety of treatment.

[0085] In this embodiment, the temperature response rate formula used in this application quantifies the sensitivity of treatment rate changes to temperature changes by using the ratio of treatment rate deviation to temperature deviation. Its physical meaning can be understood as "treatment rate deviation per unit temperature deviation," essentially reflecting the dynamic response of temperature to the treatment process (i.e., how changes in treatment rate induce temperature changes).

[0086] In some embodiments of the present application, when the data processing module determines the steam delivery rate based on the treatment rate and the real-time steam flow data, the steam delivery rate is calculated according to the following formula:

[0087] ;

[0088] Where Rs represents the steam transfer velocity, k2 represents the steam transfer efficiency coefficient, v represents the treatment velocity, A represents the cross-sectional area of ​​the treatment area, and Qs represents the real-time steam flow rate.

[0089] It's understandable that combining treatment speed and real-time steam flow data to determine steam delivery speed more accurately reflects steam flow during treatment. This combination not only improves the accuracy of steam delivery speed calculations but also helps optimize steam distribution and utilization, thereby enhancing treatment efficiency and quality. Furthermore, this technical solution considers the impact of the cross-sectional area of ​​the treatment area on steam delivery, and by introducing relevant parameters, precise control of steam delivery speed is achieved.

[0090] In this embodiment, the dimension on the right side of the formula is: k2(s / mm 3 )×v(mm / s)×A(mm 2 )×Qs(mm 3 / s)=Rs(mm 3 / s).

[0091] In this formula, k2 is not a simple efficiency coefficient, but a comprehensive coefficient including the "dimensional correction factor", and its actual dimension is s / mm 3 After correction, the dimension of the formula is: k2(s / mm 3 )×v(mm / s)×A(mm 2 )×Qs(mm 3 / s) has the same dimension as Rs, ensuring the rigor of physical meaning.

[0092] The core of the steam transfer rate Rs is the "effective diffusion volume of steam in the treatment area per unit time", and its size is positively correlated with the following factors: treatment speed v: the faster the speed, the higher the rate at which steam acts on new tissue and the greater the transfer demand; cross-sectional area A: the larger the area, the wider the spatial range in which steam can diffuse; real-time steam flow rate Qs: the larger the flow rate, the more steam is supplied per unit time and the more sufficient the transfer basis; efficiency coefficient k2: corrects for steam losses in pipes and tissue gaps (such as condensation, leakage, etc.), and the value range is calibrated according to the equipment structure and tissue type (such as 0.3~0.8).

[0093] In some embodiments of the present application, when the overheating risk determination module determines the overheating risk value of the treatment area according to the temperature response speed and the steam transfer speed, the overheating risk value is determined according to the following formula:

[0094] ;

[0095] Where H represents the overheating risk value, RT represents the temperature response rate, Rs represents the steam transfer rate, a and b represent the weight coefficients, and c represents the interaction coefficient.

[0096] It's understandable that by comprehensively considering both temperature response speed and steam transfer rate, a more comprehensive assessment of the overheating risk in the treatment area can be achieved. This assessment method not only improves the accuracy of overheating risk determination but also facilitates timely detection and prevention of potential treatment risks, thereby ensuring patient safety. Furthermore, by introducing weighting coefficients and interaction coefficients, this technical solution allows for flexible adjustment of overheating risk values ​​to suit the needs of different treatment scenarios.

[0097] In some embodiments of the present application, the overheating risk determination module determines an overheating risk level of the treatment area based on the overheating risk value, and issues an early warning prompt based on the overheating risk level, including: presetting a first overheating risk value and a second overheating risk value, wherein the first overheating risk value is less than the second overheating risk value; setting an overheating risk level based on a relationship between the overheating risk value and the first overheating risk value and the second overheating risk value, and issuing an early warning prompt based on the overheating risk level; if the overheating risk value is less than the first overheating risk value, determining the overheating risk level to be a low level risk, and issuing a low level early warning; if the overheating risk value is greater than or equal to the first overheating risk value, and the overheating risk level is less than the second overheating risk value, determining the overheating risk level to be a medium level risk, and issuing an intermediate level early warning; if the overheating risk value is greater than or equal to the second overheating risk value, determining the overheating risk level to be a high level risk, and issuing an advanced level early warning.

[0098] It is understandable that by setting different overheating risk thresholds, dividing overheating risks into different levels, and issuing warning prompts based on the levels, this method allows medical personnel to more intuitively understand the overheating situation in the treatment area, so that they can take appropriate measures to intervene in a timely manner. Low-level warnings can remind medical personnel to pay attention to temperature changes during treatment, medium-level warnings indicate the need for increased monitoring of the treatment process, and high-level warnings mean that there is a serious overheating risk, requiring immediate cessation of treatment and emergency measures. This warning mechanism not only improves the safety and controllability of the treatment process, but also helps reduce treatment accidents caused by overheating, further improving medical quality and patient satisfaction.

[0099] In some embodiments of the present application, the dynamic power allocation module is configured to determine the temperature adjustment coefficient and the steam flow adjustment coefficient according to the overheating risk level when receiving an early warning prompt, including: if the early warning prompt is a low-level early warning, the temperature adjustment coefficient is determined to be the first temperature adjustment coefficient W1, and the steam flow adjustment coefficient is the first steam flow adjustment coefficient L1; if the early warning prompt is an intermediate early warning, the temperature adjustment coefficient is determined to be the second temperature adjustment coefficient W2, and the steam flow adjustment coefficient is the second steam flow adjustment coefficient L2; if the early warning prompt is a high-level early warning, the temperature adjustment coefficient is determined to be the third temperature adjustment coefficient W3, and the steam flow adjustment coefficient is the third steam flow adjustment coefficient L3; wherein, 0.5<W1<W2<W3<1, 0.5<L1<L2<L3<1.

[0100] It can be understood that by dynamically adjusting the temperature adjustment coefficient and the steam flow adjustment coefficient according to the overheating risk level, precise control of the temperature of the treatment area can be achieved. In the case of low-level warnings, a smaller temperature adjustment coefficient and steam flow adjustment coefficient are used to ensure the treatment effect while avoiding the temperature of the treatment area from rising too quickly. In the case of intermediate warnings, appropriately increasing the temperature adjustment coefficient and the steam flow adjustment coefficient can strengthen the monitoring of the treatment process and ensure the safety and stability of the treatment process. In the case of high-level warnings, using a larger temperature adjustment coefficient and steam flow adjustment coefficient can quickly reduce the temperature of the treatment area and avoid treatment accidents caused by overheating. This dynamic power allocation strategy not only improves the safety and controllability of the treatment process, but also helps to optimize the treatment effect and reduce uncertainty and risks in the treatment process.

[0101] In some embodiments of the present application, when the dynamic power allocation module determines the temperature adjustment amount of the real-time temperature data based on the temperature adjustment coefficient and determines the steam flow adjustment amount of the real-time steam flow data based on the steam flow adjustment coefficient,

[0102] The temperature adjustment amount is determined according to the following formula:

[0103] ΔT=T×Wi(i=1, 2, 3);

[0104] The steam flow adjustment amount is determined according to the following formula:

[0105] ΔQ=Qs×Li(i=1, 2, 3);

[0106] In the above formula, ΔT represents the temperature adjustment amount, T represents the real-time temperature, Wi represents the i-th temperature adjustment coefficient, ΔQ represents the steam flow adjustment amount, Qs represents the real-time steam flow, and Li represents the i-th steam flow adjustment coefficient.

[0107] It's understandable that calculating temperature and steam flow adjustments in a specific manner makes the dynamic power allocation process more precise and controllable. This quantitative adjustment method not only improves efficiency but also reduces human error, making the treatment process more stable and reliable. Furthermore, this dynamic adjustment strategy based on real-time data can reflect changes in the treatment area in real time, allowing potential risks to be promptly identified and addressed, further improving treatment safety and effectiveness.

[0108] In some embodiments of the present application, the dynamic power allocation module adjusts the power of the steam generator according to the temperature adjustment amount and the steam flow adjustment amount, including: obtaining the initial power of the steam generator of the high-frequency heating steam ablation device; adjusting the initial power according to the temperature adjustment amount and the steam flow adjustment amount to obtain a power adjustment value; adjusting the power of the steam generator of the high-frequency heating steam ablation device according to the power adjustment value.

[0109] It is understandable that by dynamically adjusting the high-frequency power supply of the high-frequency heating steam ablation device, precise control of the treatment area can be achieved. This power adjustment method can be flexibly adjusted according to the actual treatment needs and the specific conditions of the patient, ensuring the targeted and effective treatment. At the same time, the dynamic power allocation module can adjust the power in real time according to the temperature adjustment amount and the steam flow adjustment amount. This real-time feedback mechanism can quickly respond to changes in the treatment process, improving the response speed and accuracy of the treatment. In addition, by precisely controlling the high-frequency power supply, unnecessary energy loss can be reduced, the energy efficiency of the equipment can be improved, and the entire treatment process can be more energy-saving and environmentally friendly.

[0110] In some embodiments of the present application, the dynamic power allocation module adjusts the initial power according to the temperature adjustment amount and the steam flow adjustment amount to obtain a power adjustment value, and the power adjustment value is calculated according to the following formula:

[0111] P=P0+q1ΔT+q2ΔQ;

[0112] Wherein, P represents the power adjustment value, P0 represents the initial power, q1 represents the temperature adjustment weight, ΔT represents the temperature adjustment amount, q2 represents the steam flow adjustment weight, and ΔQ represents the steam flow adjustment amount.

[0113] It can be understood that through this specific calculation method, quantitative adjustment of the high-frequency power supply can be achieved. This quantitative adjustment method makes power adjustment more precise and controllable, further improving the accuracy and stability of treatment. The introduction of temperature adjustment weight q1 and steam flow adjustment weight q2 allows power adjustment to be rationally allocated according to the importance of different parameters, ensuring the rationality and scientific nature of the adjustment. Furthermore, the calculation formula is simple and easy to use, facilitating rapid calculation and application during actual treatment, improving the efficiency and convenience of treatment.

[0114] In some embodiments of the present application, the dynamic power allocation module adjusts the frequency of the high-frequency generator according to the real-time resonant impedance data and the initial resonant frequency, including: determining the impedance change rate according to the real-time resonant impedance data, comparing the impedance change rate with an impedance threshold, and if the impedance change rate is greater than or equal to the impedance threshold, adjusting the frequency of the high-frequency generator according to the resonant frequency.

[0115] The impedance threshold is determined by: measuring the complete ablation impedance value of different tissue types through in vitro experiments and setting the complete ablation impedance value as the impedance threshold; and / or determining the impedance threshold using expert experience.

[0116] Adjusting the frequency of the high frequency generator according to the initial resonant frequency includes: determining the impedance deviation, determining the resonant frequency adjustment value according to the initial resonant frequency and the impedance deviation, the resonant frequency adjustment value is set to fnew, and is calculated according to the following formula: new =f old +Kp×ΔZ; where f old represents the initial resonant frequency, Kp represents the proportional coefficient, and ΔZ represents the impedance deviation; or, with the impedance minimized as the goal, the resonant frequency adjustment value is iteratively obtained and calculated according to the following formula: F new =f old ±Δf, step size Δf=1-5kHz.

[0117] To further illustrate the present application, the dynamic power allocation method of the present application is now described. Figure 2 Shown, including:

[0118] S100 , obtaining the tissue type and initial impedance value of the target tissue in the treatment area, and determining the initial resonant frequency of the high-frequency generator and the initial steam temperature and initial steam flow of the steam generator according to the tissue type and initial impedance value.

[0119] S200 , starting the high-frequency generator and the steam generator, starting ablation, and detecting real-time temperature data, real-time steam flow data, and real-time resonant impedance data.

[0120] S300 , determining a temperature adjustment amount and a steam flow adjustment amount according to real-time temperature data, real-time steam flow data, and real-time resonant impedance data.

[0121] S400: Determine whether to adjust the frequency based on the real-time resonant impedance value. If it is determined to be adjusted, determine the resonant frequency adjustment value based on PID closed-loop control or gradient descent method.

[0122] S500: Adjust the steam generator according to the temperature adjustment amount and the steam flow adjustment amount, and adjust the high-frequency generator according to the resonant frequency adjustment value.

[0123] S600, real-time monitoring of the impedance value and ablation time. If the impedance value is greater than the impedance limit or the ablation time is greater than the time threshold, the high-frequency heating steam ablation device is stopped.

[0124] In step S100, the initial resonant frequency is determined by: pre-setting impedance-frequency characteristic curves for different tissues; determining the tissue type of the target tissue in the treatment area; screening the impedance-frequency characteristic curves based on the tissue type to determine the impedance-frequency characteristic curve corresponding to the tissue type; and determining the initial resonant frequency of the treatment area based on the selected impedance-frequency characteristic curves and the initial impedance value in the real-time resonant impedance data. For example, 300kHz is commonly used for the liver, while 500kHz may be selected for adipose tissue.

[0125] The initial steam temperature and flow rate are determined based on tissue heat tolerance (e.g., 100–120°C for tumor ablation, higher temperatures for hemostasis). A PID algorithm is used to control the heating module, maintaining a steam temperature tolerance of ±2°C. The flow rate (e.g., 5–20 mL / min) is set based on the ablation area (preoperative imaging planning), and the solenoid valve opening is adjusted using feedback from the flow sensor.

[0126] In step S200, when detecting real-time resonant impedance data, the voltage / current across the electrodes is collected at a rate of 1kHz-10kHz to calculate the dynamic impedance (Z=U / I). A sliding average filter or FFT is used to eliminate motion artifacts.

[0127] In step S400, whether to adjust the frequency is determined based on the real-time resonant impedance value. If it is determined to be adjusted, the resonant frequency adjustment value is determined based on PID closed-loop control or gradient descent method, including:

[0128] The impedance change rate is determined based on the real-time resonant impedance data. When the impedance change rate (ΔZ / Δt) exceeds a preset value (such as 5Ω / ms), tissue degeneration is determined and frequency tracking is initiated.

[0129] Alternatively, by comparing the voltage / current phase difference (reflecting the resonance shift), if the phase difference is greater than 5°, the frequency correction is triggered.

[0130] The impedance threshold is determined by: measuring the complete ablation impedance value of different tissue types through in vitro experiments and setting the complete ablation impedance value as the impedance threshold; and / or determining the impedance threshold using expert experience.

[0131] Adjust the frequency of the high frequency generator according to the initial resonant frequency, including:

[0132] Determine the impedance deviation, and determine the resonant frequency adjustment value according to the initial resonant frequency and the impedance deviation. The resonant frequency adjustment value is set to fnew and is calculated according to the following formula: new=f old +Kp×ΔZ; where f old represents the initial resonant frequency, Kp represents the proportional coefficient, and ΔZ represents the impedance deviation.

[0133] Or, with the goal of minimizing impedance, iteratively obtain the resonant frequency adjustment value, calculated according to the following formula: F new =f old ±Δf, step size Δf=1-5kHz.

[0134] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0135] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0136] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0137] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A dynamic power distribution system for a high-frequency steam heating ablation device, applied to a high-frequency steam heating ablation device, wherein the device comprises a high-frequency generator, a steam generator, and an ablation electrode, wherein the high-frequency generator and the steam generator act on target tissue in a treatment area, characterized in that: The system comprises: The data acquisition module includes a temperature sensor array, a flow sensor, and an impedance sensor. The temperature sensor array is arranged at the steam generator output pipe and the end of the needle tube to detect real-time temperature data; the flow sensor is arranged at the steam generator output pipe to detect real-time steam flow data; and the impedance sensor is arranged at the treatment area to detect real-time resonant impedance data of the treatment area. a data processing module configured to determine a treatment speed and an initial resonant frequency of a treatment area based on the real-time resonant impedance data, determine a temperature response speed based on the treatment speed and the real-time temperature data, and determine a steam delivery speed based on the treatment speed and the real-time steam flow data; an overheating risk determination module, configured to determine an overheating risk value of a treatment area based on the temperature response speed and the steam transfer speed, determine an overheating risk level of the treatment area based on the overheating risk value, and issue an early warning prompt based on the overheating risk level; a dynamic power allocation module configured to, upon receiving an early warning prompt, determine a temperature adjustment coefficient and a steam flow adjustment coefficient based on the overheating risk level; determine a temperature adjustment amount for the real-time temperature data based on the temperature adjustment coefficient, determine a steam flow adjustment amount for the real-time steam flow data based on the steam flow adjustment coefficient, adjust the power of the steam generator based on the temperature adjustment amount and the steam flow adjustment amount, and adjust the frequency of the high-frequency generator based on the real-time resonant impedance data and the initial resonant frequency; When the dynamic power allocation module determines the temperature adjustment amount of the real-time temperature data based on the temperature adjustment coefficient and determines the steam flow adjustment amount of the real-time steam flow data based on the steam flow adjustment coefficient, The temperature adjustment amount is determined according to the following formula: ΔT=T×Wi(i=1, 2, 3); The steam flow adjustment amount is determined according to the following formula: ΔQ=Qs×Li(i=1, 2, 3); In the above formula, ΔT represents the temperature adjustment amount, T represents the real-time temperature, Wi represents the i-th temperature adjustment coefficient, ΔQ represents the steam flow adjustment amount, Qs represents the real-time steam flow, and Li represents the i-th steam flow adjustment coefficient; The dynamic power allocation module adjusts the power of the steam generator according to the temperature adjustment amount and the steam flow adjustment amount, including: Obtaining the initial power of the steam generator of the high-frequency heating steam ablation device; Adjusting the initial power according to the temperature adjustment amount and the steam flow adjustment amount to obtain a power adjustment value; Adjusting the power of the steam generator of the high-frequency heating steam ablation device according to the power adjustment value; The power adjustment value is calculated according to the following formula: P=P0+q1ΔT+q2ΔQ; Wherein, P represents the power adjustment value, P0 represents the initial power, q1 represents the temperature adjustment weight, ΔT represents the temperature adjustment amount, q2 represents the steam flow adjustment weight, and ΔQ represents the steam flow adjustment amount; The dynamic power allocation module adjusts the frequency of the high frequency generator according to the real-time resonant impedance data and the initial resonant frequency, including: determining an impedance change rate according to the real-time resonant impedance data, comparing the impedance change rate with an impedance threshold, and adjusting the frequency of a high-frequency generator according to the resonant frequency if the impedance change rate is greater than or equal to the impedance threshold; The impedance threshold is determined as follows: The complete ablation impedance value of different tissue types was measured through in vitro experiments, and the complete ablation impedance value was set as the impedance threshold; and / or, using expert experience to determine the impedance threshold; Adjusting the frequency of the high-frequency generator according to the initial resonant frequency includes: Determine the impedance deviation, and determine a resonant frequency adjustment value based on the initial resonant frequency and the impedance deviation, wherein the resonant frequency adjustment value is set to fnew and is calculated according to the following formula: Fnew=fold+Kp×ΔZ; wherein fold represents the initial resonant frequency, Kp represents the proportional coefficient, and ΔZ represents the impedance deviation; Alternatively, with the goal of minimizing impedance, the resonant frequency adjustment value is iteratively obtained and calculated according to the following formula: Fnew = fold ± Δf, with a step size of Δf = 1-5 kHz.

2. The dynamic power distribution system for high-frequency heating steam ablation equipment according to claim 1, characterized in that: When the data processing module determines the treatment speed and the initial resonant frequency of the treatment area according to the real-time resonant impedance data, the treatment speed is determined according to the following formula: v = vbase × f (r, k1); Where r = Z / Zref, f(r, k1) = 1 + k1 × (r-1); In the above formula, v represents the treatment speed, vbase represents the treatment speed under standard conditions, f(r, k1) represents the function based on the impedance ratio and the impedance sensitivity coefficient, r represents the impedance ratio, k1 represents the impedance sensitivity coefficient, Z represents the real-time impedance value of the treatment area, and Zref represents the reference impedance value; The method for determining the initial resonant frequency is: The impedance-frequency characteristic curves of different tissues are preset; determining a tissue type of a target tissue in the treatment area, screening the impedance-frequency characteristic curve according to the tissue type, and determining an impedance-frequency characteristic curve corresponding to the tissue type; Based on the screened impedance-frequency characteristic curve, the initial resonant frequency of the treatment area is determined according to the initial impedance value in the real-time resonant impedance data.

3. The dynamic power distribution system for high-frequency heating steam ablation equipment according to claim 2, characterized in that: When the data processing module determines the temperature response speed based on the treatment speed and the real-time temperature data, the temperature response speed is determined according to the following formula: ； Wherein, RT represents the temperature response speed, v represents the treatment speed, vbase represents the treatment speed under standard conditions, T represents the real-time temperature, and Tref represents the temperature under standard conditions.

4. The dynamic power distribution system for high-frequency steam heating ablation equipment according to claim 3, characterized in that: When the data processing module determines the steam delivery speed based on the treatment speed and the real-time steam flow data, the steam delivery speed is calculated according to the following formula: ； Where Rs represents the steam transfer velocity, k2 represents the steam transfer efficiency coefficient, v represents the treatment velocity, A represents the cross-sectional area of ​​the treatment area, and Qs represents the real-time steam flow rate.

5. The dynamic power distribution system for high-frequency heating steam ablation equipment according to claim 4, characterized in that: When the overheating risk determination module determines the overheating risk value of the treatment area according to the temperature response speed and the steam transfer speed, the overheating risk value is determined according to the following formula: ； Where H represents the overheating risk value, RT represents the temperature response rate, Rs represents the steam transfer rate, a and b represent the weight coefficients, and c represents the interaction coefficient.

6. The dynamic power distribution system for high-frequency heating steam ablation equipment according to claim 1, characterized in that: The overheating risk determination module determines the overheating risk level of the treatment area according to the overheating risk value, and issues an early warning prompt according to the overheating risk level, including: Presetting a first overheating risk value and a second overheating risk value, wherein the first overheating risk value is smaller than the second overheating risk value; setting an overheating risk level according to a relationship between the overheating risk value and the first overheating risk value and the second overheating risk value, and issuing an early warning prompt according to the overheating risk level; If the overheating risk value is less than the first overheating risk value, the overheating risk level is determined to be a low level risk, and a low level warning is issued; If the overheating risk value is greater than or equal to the first overheating risk value, and the overheating risk level is less than the second overheating risk value, the overheating risk level is determined to be a medium risk, and a medium warning is issued; If the overheating risk value is greater than or equal to the second overheating risk value, the overheating risk level is determined to be a high-level risk, and an advanced warning is issued.

7. The dynamic power distribution system for high-frequency steam heating ablation equipment according to claim 6, characterized in that: The dynamic power allocation module is configured to determine a temperature adjustment coefficient and a steam flow adjustment coefficient according to the overheating risk level when receiving the early warning prompt, including: If the warning prompt is a low-level warning, the temperature adjustment coefficient is determined to be the first temperature adjustment coefficient W1, and the steam flow adjustment coefficient is determined to be the first steam flow adjustment coefficient L1; If the warning prompt is a medium warning, the temperature adjustment coefficient is determined to be the second temperature adjustment coefficient W2, and the steam flow adjustment coefficient is determined to be the second steam flow adjustment coefficient L2; If the warning prompt is a high-level warning, the temperature adjustment coefficient is determined to be the third temperature adjustment coefficient W3, and the steam flow adjustment coefficient is determined to be the third steam flow adjustment coefficient L3; Among them, 0.5<W1<W2<W3<1, 0.5<L1<L2<L3<1.

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