A shockwave generator, energy control method, and medical device system

Abstract

The application discloses a shock wave generator, an energy control method and a medical instrument system, comprising collecting current and voltage during the discharge process of the shock wave generator, calculating the current resistance value Rp1 of the discharge gap through an equivalent circuit, calculating the predicted resistance value Rp2 of the discharge gap in the leading period through an energy prediction model, taking the preset shock wave energy Ew as a target value, calculating the energy conversion efficiency correction coefficient η, generating a voltage adjustment strategy for maintaining constant energy, combining the real-time measurement of the discharge impedance with the impedance prediction of the leading period, dynamically calculating and adjusting the charging voltage, realizing the closed-loop control of maintaining constant shock wave energy when the electrode impedance changes with use, and maintaining constant shock wave energy under the condition of electrode impedance drift, so as to balance the treatment consistency and equipment durability.

Description

TECHNICAL FIELD

[0001] The present application relates to the medical technology field, and in particular to an impact wave generator, an energy control method and a medical instrument system. BACKGROUND

[0002] The impact wave generator, especially the impact wave generator based on the liquid-electric effect, has a wide application in the medical field, such as lithotripsy, skeletal muscle disease treatment, peripheral vascular, cardiovascular treatment and tissue repair, etc. In these treatment processes, the stability and accuracy of the impact wave energy are the core factors to determine the treatment effect and safety. If the energy is too high, it may cause tissue damage, and if the energy is too low, it cannot achieve the expected treatment purpose. Therefore, realizing the long-term and stable output of the impact wave energy is a key technical challenge to improve the clinical performance and reliability of such medical equipment.

[0003] In the existing related technology, a common energy control method is to use an open loop or a simple closed loop control strategy. For example, a fixed charging voltage is used to try to maintain the energy constant, or only the current discharge period is used to passively and laggingly adjust the voltage according to part of the electrical parameters (such as the current measured impedance). However, such methods have a significant disadvantage: they cannot effectively cope with the problem of systematic impedance drift caused by the slow degradation (such as electric erosion, deposit adhesion) of the electrode due to long-term use. Specifically, the existing technology lacks the ability to predict the future state of the system, and its control behavior is based on a fixed working mode. When the electrode loss causes the equivalent resistance to change slowly but continuously, this fixed mode will always lag behind the actual energy decay trend, eventually leading to uncontrollable drift of the output impact wave energy, and unable to guarantee the consistency of the treatment energy throughout the life cycle of the device, thereby affecting the long-term efficacy and possibly causing potential risks due to unknown electrode state.

[0004] In view of this, it is necessary to improve the energy control technology of the impact wave generator in the prior art to solve the technical problem that the fixed mode cannot guarantee the consistency of the treatment energy. SUMMARY

[0005] The purpose of the present application is to provide an impact wave generator, an energy control method and a medical instrument system to solve the above technical problems.

[0006] To achieve this purpose, the present application adopts the following technical solutions:

[0007] An energy control method of an impact wave generator, comprising the following steps:

[0008] During the discharge process of the impact wave generator, the current and voltage are collected, and the current resistance value Rpi of the discharge gap is calculated through an equivalent circuit;

[0009] The predicted resistance value Rp2 of the discharge gap in the leading period is calculated by an energy prediction model, the energy conversion efficiency correction coefficient η is calculated with the preset shock wave energy Ew as a target value, and a voltage regulation strategy for maintaining constant energy is generated.

[0010] Optionally, the current and the voltage are collected during the discharge of the shock wave generator, and the method further comprises:

[0011] The electrode spacing s of the shock wave generator is periodically calibrated by a spacing calibration mechanism to obtain and maintain a fixed electrode spacing s.

[0012] Optionally, the process of collecting the current and the voltage during the discharge of the shock wave generator specifically comprises:

[0013] In the main discharge circuit of the shock wave generator, a resistance detection unit is arranged in parallel to the discharge gap on both sides, and the instantaneous voltage U(t) and the instantaneous current i(t) in the discharge circuit during the main discharge stage are synchronously collected by the resistance detection unit to obtain the original voltage-current time series data;

[0014] The original voltage-current time series data collected is subjected to mean filtering processing to obtain the denoised voltage signal U c (t) and the current signal I c (t).

[0015] Optionally, the process of calculating the current resistance value Rp1 of the discharge gap by the equivalent circuit specifically comprises:

[0016] The denoised voltage signal U c (t) and the current signal I c (t) are substituted into the equivalent circuit equation of the discharge gap, the equivalent circuit equation at least includes the discharge gap resistance Rpl and the equivalent inductance Lpl, and the real-time resistance value R(t) is calculated by the circuit equation U c (t)=I c (t)×Rpl+Lpl×dIc(t) / dt.

[0017] From the calculated instantaneous resistance sequence {R(t)} of the entire discharge period, the platform region in which the resistance value tends to be stable and the fluctuation is less than a preset threshold is identified, and the platform region is identified as the effective energy deposition stage of the main discharge;

[0018] The instantaneous resistance values of all sampling points in the effective energy deposition stage are extracted, the arithmetic mean value is calculated, and the arithmetic mean value is finally determined as the current discharge gap resistance value Rp1 for energy prediction and control.

[0019] Optionally, the energy prediction model is constructed in a manner that: based on historical discharge data of the shock wave generator, a mapping relationship between the resistance value R p1 of the discharge gap and the energy conversion efficiency correction coefficient η is established.

[0020] Optionally, the specific process of inversely calculating the predicted resistance value R p2 of the discharge gap in the advance period through the energy prediction model is:

[0021] a resistance value R p sequence {R p1 ~ 0, R p1 ~-1,..., R p1 ~-n} in historical discharge periods is constructed; wherein R p1 ~-n is the resistance value R p data in the first n periods;

[0022] trend prediction analysis based on a weighted moving average method is performed on the resistance value R p sequence, wherein recent resistance data is given a higher weight, and the predicted resistance value R p2 corresponding to the next discharge period in advance is calculated.

[0023] Optionally, taking the preset shock wave energy E w as a target value, the energy conversion efficiency correction coefficient η is calculated, and a voltage adjustment strategy for maintaining constant energy is generated, specifically including:

[0024] a pre-stored core energy formula E w = η × (C × U t 2 ) / 2 is called, and the theoretical initial voltage U t is inversely deduced by taking the preset target shock wave energy E w and the fixed capacitance value C as input parameters;

[0025] the predicted resistance value R p2 is taken as an input key value to query a resistance-efficiency mapping relationship table pre-established through a large number of experiments, and the corresponding energy conversion efficiency correction coefficient η is obtained;

[0026] the energy conversion efficiency correction coefficient η obtained by querying is substituted into the core energy formula, and the theoretical initial voltage U t is recalculated and calibrated to obtain a target initial voltage U s for actual control;

[0027] the target initial voltage U s and the predicted resistance value R p2 are integrated to generate a voltage adjustment strategy including a specific voltage value and an ECG-R wave trigger timing, and the voltage adjustment strategy is output to a voltage regulating device connected in parallel with the high-voltage capacitor.

[0028] The application also provides a shock wave generator adopting the energy control method of the shock wave generator as described above, and the shock wave generator comprises:

[0029] a discharge electrode pair forming a discharge gap between a cathode and an anode;

[0030] a resistance detection unit connected in parallel on both sides of the discharge electrode pair and configured to collect transient voltage U(t) at both ends of the discharge gap and transient current i(t) in the loop;

[0031] a high-voltage capacitor connected in parallel with the pair of discharge electrodes;

[0032] a voltage regulating device connected in parallel with the high-voltage capacitor, for adjusting the initial voltage of the high-voltage capacitor;

[0033] a control unit connected in signal with the resistance detection unit and the voltage regulating device respectively, for outputting a voltage adjustment strategy to the voltage regulating device.

[0034] Optionally, the shock wave generator further comprises:

[0035] a distance calibration mechanism built in the interior of the shock wave generator, the distance calibration mechanism comprising a micro-distance sensing unit for monitoring the distance value of the discharge gap s between the cathode and the anode in real time, and a micro-drive adjustment unit for driving the cathode or the anode to generate axial micro-displacement to correct the discharge gap s.

[0036] The present application also provides a medical instrument system comprising the shock wave generator as described above.

[0037] Compared with the prior art, the present application has the following beneficial effects: in each discharge cycle, first, the current and voltage signals are collected in real time during the discharge process, and the real-time resistance value Rpi of the current discharge gap is calculated based on the set equivalent circuit; Rpi and historical measurement data are input into an energy prediction model to inversely predict the predicted resistance value Rp2 of the discharge gap in the next advance period; the preset target shock wave energy Ew is taken as the target value, the energy conversion efficiency correction coefficient η is calculated based on Rp2 and the energy conversion relationship described in the energy prediction model, and the charging voltage U required to maintain Ew is inversely calculated according to the energy conversion efficiency correction coefficient η, a voltage adjustment strategy is generated and issued; this method combines real-time measurement of discharge impedance with impedance prediction of the advance period, and dynamically calculates and adjusts the charging voltage, thereby realizing closed-loop control of maintaining constant shock wave energy when the electrode impedance changes with use, maintaining constant shock wave energy under the condition of electrode impedance drift, and balancing treatment consistency and equipment durability. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0039] The structure, proportion, size, etc. shown in the drawings of the specification are only used to cooperate with the content disclosed in the specification, to be understood and read by those skilled in the art, and do not have technical significance to limit the conditions that can be implemented by the present application. Any modification of the structure, change of the proportion relationship or adjustment of the size, without affecting the effect and purpose that can be achieved by the present application, should still fall within the scope of the technology disclosed by the present application.

[0040] Figure 1 Flowchart of the energy control method of the shock wave generator of the present embodiment;

[0041] Figure 2 Liquid phase discharge equivalent circuit schematic diagram of the control circuit of the shock wave generator of the present embodiment;

[0042] Figure 3 System schematic diagram of the shock wave generator of the present embodiment. DETAILED DESCRIPTION

[0043] In order to make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the embodiments described below are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0044] In the description of the present application, it should be understood that the terms "upper", "lower", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings, and are only used to facilitate the description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, therefore it cannot be understood as a limitation on the present application. It should be noted that when a component is considered to be "connected" to another component, it can be directly connected to the other component or there can be a component disposed therebetween.

[0045] The technical solutions of the present application will be further described below in conjunction with the drawings and through specific embodiments.

[0046] Embodiment I:

[0047] In conjunction with Figure 1 and Figure 2 The present embodiment provides an energy control method of a shock wave generator, including the following steps:

[0048] S1, periodically calibrate the electrode gap s of the shock wave generator through the gap calibration mechanism, obtain and maintain a fixed electrode gap s.

[0049] The core purpose is to periodically calibrate and maintain the discharge gap s between the negative and positive electrodes in the shock wave generator through an internal gap calibration mechanism. Due to long-term and high-frequency discharge, the electrode surface may be slightly worn due to electric erosion and shock wave physical washing, resulting in an increase in the discharge gap s; or the gap s may decrease due to the attachment of deposits. Such small gap changes will directly and significantly change the breakdown voltage and equivalent resistance of the plasma channel, and then become the main factor of shock wave energy drift.

[0050] The actual value of the gap s is monitored in real time by the micro-distance sensing unit (such as a capacitive displacement sensor) of the gap calibration mechanism, and the electrode position is precisely adjusted axially by the micro-drive adjustment unit (such as a piezoelectric ceramic actuator), so as to actively restore and lock the discharge gap s to the preset standard value.

[0051] S2, during the discharge process of the shock wave generator, the current and voltage are collected, and the current resistance value Rp1 of the discharge gap is calculated through the equivalent circuit.

[0052] During each treatment discharge, the instantaneous voltage U(t) and instantaneous current i(t) waveforms in the discharge loop are synchronously collected by the resistance detection unit (such as a high-voltage probe and a Rogowski coil) connected in parallel on both sides of the discharge gap. After filtering and noise reduction, these original voltage-current time series data are substituted into the circuit transient equation (Uc(t)=Ic(t)×Rpl+Lpl×dIc(t) / dt) containing the plasma channel resistance Rpl and the equivalent inductance Lpl to solve, thereby calculating the instantaneous resistance sequence {R(t)} that changes constantly within the entire main discharge duration.

[0053] The effective energy deposition platform region with relatively stable resistance value is intelligently identified from the sequence by an algorithm, and the arithmetic mean of all resistance values in this platform region is determined as the effective resistance value Rp1 of this discharge. The Rp1 value objectively and accurately reflects the true electrical characteristics under the combined action of the electrode surface state and the discharge gap at the current discharge moment.

[0054] S3, calculate the predicted resistance value Rp2 of the discharge gap in the advance period through the energy prediction model inversion calculation, take the preset shock wave energy Ew as the target value, calculate the energy conversion efficiency correction coefficient η, and generate a voltage adjustment strategy for maintaining constant energy.

[0055] It should be noted that the energy prediction model is essentially a data-driven empirical model reflecting the correlation of key internal parameters of the system. It is an empirical correlation between the key state parameters (discharge gap resistance) that are easy to measure and the overall performance indicators (energy conversion efficiency) that are directly established by induction, and the historical trend of the parameters is used to extrapolate the prediction. The specific process is as follows:

[0056] The system will build a dynamically updated historical resistance sequence, denoted as {Rp1~0, Rp1~-1,..., Rp1~-n}, where Rp1~0 represents the latest measurement value of the current period, and Rp1~-1 to Rp1~-n represent the resistance values of the first to the nth historical periods.

[0057] The prediction core of the model is to perform a weighted moving average trend analysis on the above sequence. The basic principle of this method is that recent resistance data can better reflect the latest trend of electrode state, so it is given a higher calculation weight; and the weight of the earlier historical data is correspondingly reduced. By smoothing and trend extrapolation calculation on the weighted sequence, the model can output the predicted resistance value Rp2 of the next (i.e. the advanced period) discharge gap.

[0058] This prediction result Rp2 based on data trend will be the key input of the feedforward control, used to query the resistance-efficiency mapping table subsequently, so as to realize the forward-looking assessment of energy conversion efficiency and the pre-compensation adjustment of voltage, and ensure the stable output of shock wave energy. This method is simple and fast in calculation, and is very suitable for integration into medical device systems that require real-time control.

[0059] The system calibrates the theoretical voltage by the energy conversion efficiency correction coefficient η, calculates the target initial voltage that can accurately compensate for the decrease in energy efficiency caused by electrode degradation and other factors, and generates a complete voltage adjustment strategy containing the voltage value and ECG-R wave trigger timing. The output of this strategy ensures that even in the case of slow degradation of the electrode state, the shock wave energy of each emission can be stabilized at the preset treatment target value.

[0060] It should be noted that, as shown in Figure 2 The liquid phase discharge equivalent circuit includes a capacitor C, a resistance R0 of the shock wave generator device itself, an equivalent inductance L of the shock wave generator device itself, and a resistance Rpl of the plasma channel (electrode gap), and an equivalent inductance Lp1 of the electrode gap.

[0061] According to the equivalent circuit, when a conductive medium is used, the discharge gap itself is very small, so the equivalent resistance is much smaller than 1Ω (take 1Ω), and the high-voltage capacitor value is less than 1μF (take 1μF), 5τ=5μS.

[0062] The shock wave is triggered by the R wave of ECG, and the normal heart rate is 60-100 times per minute. Even if the heart rate is as high as 200 times per minute, the interval time of each shock wave is at least 300 ms, which is much larger than the charging and discharging time of the capacitor.

[0063] Therefore, when the liquid medium and the capacitor remain unchanged, the initial voltage and the discharge gap determine the size of the shock wave energy.

[0064] The working principle of the present application is as follows: in each discharge cycle, first, the current and voltage signals are collected in real time during the discharge process, and the real-time resistance value Rp1 of the current discharge gap is calculated based on the set equivalent circuit; Rp1 and historical measurement data are input into the energy prediction model to inversely predict the predicted resistance value Rp2 of the discharge gap in the next advance period; the preset target shock wave energy Ew is taken as the target value, the energy conversion efficiency correction coefficient η is calculated based on Rp2 and the energy conversion relationship described in the energy prediction model, and the charging voltage U required to maintain Ew is inversely calculated according to the correction coefficient η, and a voltage adjustment strategy is generated and issued; this method combines real-time measurement of discharge impedance with impedance prediction of the advance period, and dynamically calculates and adjusts the charging voltage, thereby realizing closed-loop control of maintaining constant shock wave energy when the electrode impedance changes with use, maintaining constant shock wave energy under the condition of electrode impedance drift, and balancing treatment consistency and equipment durability.

[0065] In the present embodiment, it is further explained that the process of collecting current and voltage during the discharge process of the shock wave generator specifically includes:

[0066] S21, in the main discharge circuit of the shock wave generator, a resistance detection unit is arranged in parallel on both sides of the discharge gap, and the instantaneous voltage U(t) and the instantaneous current i(t) in the discharge circuit during the main discharge stage are synchronously collected through the resistance detection unit to obtain the original voltage-current time sequence data.

[0067] In the main discharge circuit of the shock wave generator, a resistance detection unit (usually composed of a high-voltage probe and a Rogowski coil) is specially arranged in parallel on both sides of the discharge gap. This unit is designed to synchronously collect the instantaneous voltage U(t) on both sides of the gap and the instantaneous current i(t) in the circuit during the main discharge stage (i.e. the critical period when energy is rapidly transferred from the capacitor to the plasma channel). This synchronization ensures that the voltage and current data strictly correspond in time, providing accurate and consistent original voltage-current time sequence data basis, and avoiding calculation errors introduced by asynchronous signals.

[0068] S22, the original voltage-current time sequence data collected are subjected to mean filtering processing to obtain the denoised voltage signal U c (t) and the current signal I c (t).

[0069] In the process of high-voltage and high-current fast discharge, the original voltage-current signals collected inevitably mix with various high-frequency noises, such as electromagnetic interference from switch action and unstable fluctuations of plasma itself. The mean filter, a digital signal processing algorithm with high computational efficiency and easy to implement in embedded systems, is used to smooth the original time series data. The purpose is to effectively suppress high-frequency noise interference while preserving the main trend of the signal, so as to obtain cleaner and smoother voltage signal Uc(t) and current signal Ic(t), and lay a reliable data foundation for the next step of accurate circuit parameter calculation.

[0070] In the embodiment, the process of calculating the current resistance value Rp1 of the discharge gap through the equivalent circuit specifically includes:

[0071] S23, substituting the denoised voltage signal U c (t) and current signal I c (t) into the equivalent circuit equation of the discharge gap, which at least includes the discharge gap resistance Rpl and equivalent inductance Lpl, and the circuit equation U c (t) = I c (t) x Rpl + Lpl x dI c (t) / dt is used to calculate the instantaneous resistance value R(t) in real time.

[0072] It should be noted that the ideal pure resistance model is not used in the present scheme, but the denoised signal U c (t) and I c (t) are substituted into a more accurate equivalent circuit equation, which includes the discharge gap resistance Rpl and equivalent inductance Lpl. Among them, the inductance Lpl is mainly derived from the parasitic inductance of the discharge electrode itself and the plasma channel. By solving the circuit equation, the instantaneous resistance value R(t) can be calculated in real time. This method effectively eliminates the influence of inductive components in the circuit on voltage measurement, so that the calculated resistance value can more truly and accurately reflect the impedance characteristics of the discharge gap.

[0073] S24, from the calculated instantaneous resistance sequence {R(t)} of the entire discharge period, identify the platform region with stable resistance value and fluctuation less than the preset threshold, and identify the platform region as the effective energy deposition stage of the main discharge.

[0074] Since the formation and development of the discharge gap is a dynamic process, its resistance value R(t) is often changing at the initial and final stages of the discharge, and not all resistance values at all times represent the effective shock wave generation. This step intelligently identifies the platform region where the resistance value tends to be stable by analyzing the instantaneous resistance sequence {R(t)} of the entire discharge period and setting a preset fluctuation threshold. The platform region corresponds to the period when the plasma channel has been fully formed, and the energy injection is most stable and efficient. Therefore, this period is identified as the effective energy deposition stage of the main discharge.

[0075] S25, extract the instantaneous resistance values of all sampling points in the effective energy deposition stage, calculate the arithmetic mean value, and finally determine the arithmetic mean value as the current discharge gap resistance value Rp1 for energy prediction and control.

[0076] In the identified effective energy deposition stage, although the resistance value is stable, there are still small fluctuations. In order to obtain a single, stable and representative resistance value for subsequent energy prediction and control, this step extracts the instantaneous resistance values of all sampling points in this stage and calculates their arithmetic mean value. This average value is finally determined as the current discharge gap resistance value Rp1, which has the following advantages: it further filters out random fluctuations by taking the average, making Rp1 a key state parameter that can robustly reflect the overall conductivity of the plasma channel in this discharge process, providing reliable input for subsequent prediction and voltage strategy generation.

[0077] In this embodiment, the energy prediction model is constructed as follows: based on the historical discharge data of the shock wave generator, a mapping relationship between the resistance value Rp1 of the discharge gap and the energy conversion efficiency correction coefficient η is established.

[0078] It should be noted that the target shock wave generator is used to perform discharge experiments under a variety of different, known electrode states (simulating long-term use of wear) and working conditions, and the discharge gap resistance value Rp1 calculated for each discharge and the actual energy conversion efficiency correction coefficient η calculated by independent measurement (such as a pressure sensor) are recorded simultaneously. Subsequently, statistical methods are used to process and analyze the data, thereby establishing a stable mapping relationship from the resistance value Rp1 to the efficiency correction coefficient η. This mapping relationship is finally solidified in the form of a lookup table or a fitting formula in the memory of the control unit. The advantage of this construction method is that it is directly derived from actual system operation data, avoiding errors that may be caused by complex theoretical modeling, making the model prediction results more realistic and reliable, and by using a lookup table, the computational requirements of the processor are low, the system response is fast, and the implementation cost is controllable.

[0079] In this embodiment, it is specifically explained that the specific process of calculating the predicted resistance value Rp2 of the discharge gap in the advance period by the energy prediction model is:

[0080] S31, a resistance value Rp sequence {Rp1~0, Rp1~-1,..., Rp1~-n} in the historical discharge period is constructed; wherein, Rp1~-n is the resistance value Rp data in the previous n periods;

[0081] Each Rp1 value is obtained by the foregoing step method, forming a data basis for resistance change trend analysis.

[0082] This sequence serves as a time window, systematically recording continuous data of the evolution of the discharge gap resistance with time. The purpose of constructing this sequence is to convert isolated, single resistance measurements into a data set that can reflect its long-term change trend, providing the necessary data basis for the next prediction algorithm.

[0083] S32, trend prediction analysis based on the weighted moving average method is performed on the resistance value Rp sequence, wherein recent resistance data is given a higher weight, and the predicted resistance value Rp2 corresponding to the next discharge period is calculated.

[0084] It should be noted that the weighted moving average method is used to perform trend prediction analysis on the historical resistance sequence. The core of this method is its weighting strategy: higher weight is given to recent resistance data, and lower weight is given to long-term data. This design is based on a reasonable physical assumption that the wear or state change of the electrode is a gradual process, and the recent state has a stronger guiding significance for the next prediction. Through this algorithm, the system can calculate the predicted resistance value Rp2 of the discharge gap in the next discharge period. This enables the system to predict the resistance change caused by the slow wear of the electrode in advance, creating conditions for advance energy compensation.

[0085] In this embodiment, it is further explained that, taking the preset shock wave energy Ew as the target value, the energy conversion efficiency correction coefficient η is calculated, and a voltage adjustment strategy for maintaining constant energy is generated, specifically including:

[0086] S33, the pre-stored core energy formula Ew=η×(C×Ut 2 ) / 2 is called to take the preset target shock wave energy Ew and the fixed capacitance value C as input parameters, and the theoretical initial voltage Ut is derived.

[0087] The system takes the preset, desired output target shock wave energy Ew and the known fixed capacitance value C as inputs, temporarily assumes an ideal efficiency (e.g. initial calibration efficiency), and derives the theoretical initial voltage Ut through formula inversion. This Ut value is the voltage that needs to be theoretically applied to achieve the target energy Ew under the ideal efficiency model, and provides an accurate benchmark starting point for subsequent calibration based on actual working conditions.

[0088] S34, the predicted resistance value Rp2 is taken as an input key value to query the pre-established resistance-efficiency mapping relationship table through a large number of experiments, and the corresponding energy conversion efficiency correction coefficient η is obtained.

[0089] Since the energy conversion efficiency η is not constant, it is closely related to the resistance of the discharge gap (i.e. the electrode state). The predicted resistance value Rp2 is taken as an input key value to query a pre-established resistance-efficiency mapping relationship table. Through this query operation, the system can match a highly consistent, real energy conversion efficiency correction coefficient η for the predicted future resistance Rp2, thereby closely linking theoretical calculation with actual physical processes.

[0090] S35, the energy conversion efficiency correction coefficient η obtained by querying is substituted into the core energy formula to recalculate and calibrate the theoretical initial voltage Ut, and the target initial voltage Us for actual control is obtained.

[0091] This calibration process is essentially to compensate for the decrease in energy transmission efficiency caused by factors such as electrode wear and water quality changes. By increasing the initial voltage, the efficiency loss is offset, thereby ensuring that the final shock wave energy deposited on the target is still exactly equal to the preset target value Ew. The target initial voltage Us obtained after calibration is the voltage value that needs to be finally applied to the capacitor to achieve energy constancy under actual working conditions.

[0092] S36, the target initial voltage Us and the predicted resistance value Rp2 are integrated to generate a voltage adjustment strategy containing specific voltage values and ECG-R wave trigger timing, and the voltage adjustment strategy is output to the voltage regulating device connected in parallel with the high-voltage capacitor.

[0093] Among them, the ECG-R wave trigger timing refers to a set of time control schemes that use a specific, identifiable waveform in the patient's electrocardiogram, the R wave, as a reference time point to start some external action (in this scheme, it is to trigger the shock wave of the shock wave generator).

[0094] It should be noted that the calculation results of the previous steps, namely the target initial voltage Us (determining the energy size) and the predicted resistance value Rp2 (as a reference state of the strategy), are integrated and incorporated into the medical safety timing control to generate a complete and executable voltage regulation strategy. This strategy not only contains the specific voltage value Us that needs to be set, but also specifies the ECG-R wave trigger timing synchronized with the patient's heart rhythm to ensure the safety and effectiveness of the treatment. Finally, this complete strategy is output to the voltage regulation device connected in parallel with the high-voltage capacitor, and the hardware device is responsible for charging the capacitor to the specified voltage at the precise time within the next heartbeat period, thereby completing a precise, controllable, and energy constant shock wave emission.

[0095] Embodiment Two:

[0096] In combination Figure 3 As shown in the figure, the present application also provides a shock wave generator which adopts the energy control method of the shock wave generator of embodiment one. The shock wave generator 100 includes:

[0097] A pair of discharge electrodes 101, which form a discharge gap 102 between the cathode and the anode.

[0098] A resistance detection unit 150 connected in parallel on both sides of the pair of discharge electrodes 101, configured to collect the instantaneous voltage U(t) across the discharge gap and the instantaneous current i(t) in the circuit.

[0099] A high-voltage capacitor 120 connected in parallel with the pair of discharge electrodes 101.

[0100] A voltage regulation device 130 connected in parallel with the high-voltage capacitor 120, used to regulate the initial voltage of the high-voltage capacitor 120.

[0101] A control unit 140 connected in signal with the resistance detection unit and the voltage regulation device, respectively, used to output the voltage regulation strategy to the voltage regulation device.

[0102] A distance calibration mechanism 110 built into the interior of the shock wave generator, which includes a micro-distance sensing unit for real-time monitoring of the distance value s of the discharge gap 102 between the cathode and the anode, and a micro-drive adjustment unit for driving the cathode or the anode to produce axial micro-displacement to correct the discharge gap s.

[0103] Wherein, the micro-distance sensing unit is realized by contact micro-strain gauges or non-contact capacitive displacement sensors; the micro-drive adjustment unit is realized by piezoelectric ceramic actuators.

[0104] The working principle of the present application is as follows: first, the gap s between the pair of discharge electrodes is regularly calibrated and locked by the distance calibration mechanism, ensuring the stability of the physical basis of energy control. Then, the instantaneous voltage U(t) and current i(t) at both ends of the discharge gap are synchronously collected by the resistance detection unit during each treatment discharge, and these raw data are sent to the control unit. The control unit calculates the instantaneous resistance in real time through the circuit equation containing the inductance parameter, and determines a resistance value Rp1 that can represent the state of this discharge. Based on the current and historical Rp1 sequence, the control unit calls the built-in energy prediction model to calculate the predicted resistance Rp2 of the next cycle, and queries the pre-stored resistance-efficiency mapping table to obtain the corresponding efficiency correction coefficient η. Based on the preset target shock wave energy Ew and fixed capacitance C, the target initial voltage Us required is inverted and calibrated, so as to generate a voltage adjustment strategy integrating the voltage value and ECG-R wave trigger timing. The strategy is sent to the voltage regulating device, which charges the high-voltage capacitor to the target voltage Us at the precise moment of the next heartbeat cycle and triggers the discharge. Through active calibration at the hardware level and software level, the system realizes intelligent software compensation for hardware loss, significantly improves the consistency of shock waves during use, and improves the use effect.

[0105] Embodiment three:

[0106] The present application also provides a medical instrument system comprising the shock wave generator of embodiment two.

[0107] The above-described embodiments are merely used to illustrate the technical solutions of the present application, rather than limit the same; even though the present application has been described in detail with reference to the foregoing embodiments, those ordinarily skilled in the art should understand: the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features thereof can be replaced by equivalents; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An energy control method of a shock wave generator, characterized by, Includes the following steps: During the discharge process of the shock wave generator, current and voltage are collected, and the current resistance value Rp1 of the discharge gap is calculated through the equivalent circuit. The predicted resistance value Rp2 of the discharge gap within the leading period is calculated by inversion using an energy prediction model. With the preset shock wave energy Ew as the target value, the energy conversion efficiency correction coefficient η is calculated to generate a voltage regulation strategy for maintaining constant energy. The energy prediction model is constructed by establishing a mapping relationship between the resistance value Rp1 of the discharge gap and the energy conversion efficiency correction coefficient η based on the historical discharge data of the shock wave generator. The specific process of calculating the predicted resistance value Rp2 of the discharge gap within the leading period using the energy prediction model is as follows: Construct a resistance value Rp sequence {Rp1~0, Rp1~-1, ..., Rp1~-n} within the historical discharge cycle; where Rp1~-n are the resistance value Rp data within the first n cycles; A trend prediction analysis based on the weighted moving average method is performed on the resistance value Rp sequence, in which recent resistance data is given higher weight, and the predicted resistance value Rp2 corresponding to the advance of the next discharge cycle is calculated.

2. The energy control method of the shock wave generator according to claim 1, characterized by, The current and voltage are collected during the discharge process of the shock wave generator, which previously included: The electrode spacing s of the shock wave generator is periodically calibrated by a spacing calibration mechanism to obtain and maintain a fixed electrode spacing s.

3. The energy control method of a shock wave generator according to claim 1, wherein The process of collecting current and voltage during the discharge of the shock wave generator specifically includes: In the main discharge circuit of the shock wave generator, a resistance detection unit is set up in parallel on both sides of the discharge gap. The instantaneous voltage U(t) at both ends of the discharge gap and the instantaneous current i(t) in the discharge circuit are synchronously collected through the resistance detection unit to obtain the original voltage-current timing data. The original voltage-current time series data collected is subjected to mean filtering to obtain the denoised voltage signal U c (t) and the current signal I c (t).

4. The energy control method of a shock wave generator according to claim 3, wherein The process of calculating the current resistance value Rp1 of the discharge gap through the equivalent circuit specifically includes: The denoised voltage signal U c (t) and current signal I c (t) Substituting into the equivalent circuit equation of the discharge gap, which includes at least the discharge gap resistance Rpl and the equivalent inductance Lpl, the circuit equation U... c (t)=I c The instantaneous resistance value R(t) is obtained by calculating (t)×Rpl+Lpl×dIc(t) / dt in real time; From the instantaneous resistance sequence {R(t)} of the entire discharge cycle obtained by calculation, a plateau region where the resistance value tends to be stable and the fluctuation is less than a preset threshold is identified, and the plateau region is identified as the effective energy deposition stage of the main discharge. Extract the instantaneous resistance values ​​of all sampling points within the effective energy deposition stage, calculate their arithmetic mean, and finally determine the arithmetic mean as the current discharge gap resistance value Rp1 for energy prediction and control.

5. The energy control method of the shock wave generator according to claim 1, wherein, Using the preset shock wave energy Ew as the target value, the energy conversion efficiency correction coefficient η is calculated to generate a voltage regulation strategy for maintaining constant energy, specifically including: The pre-stored core energy formula Ew = η × (C × Ut 2 ) / 2 is called to inversely derive the theoretical initial voltage Ut with the preset target shock wave energy Ew and the fixed capacitance value C as input parameters. Using the predicted resistance value Rp2 as the input key, the corresponding energy conversion efficiency correction coefficient η is obtained by querying the resistance-efficiency mapping relationship table that has been established in advance through a large number of experiments. Substitute the energy conversion efficiency correction coefficient η obtained from the query into the core energy formula, recalculate and calibrate the theoretical initial voltage Ut, and obtain the target initial voltage Us for actual control. Based on the target initial voltage Us and the predicted resistance value Rp2, a voltage regulation strategy containing specific voltage values ​​and ECG-R wave triggering timing is generated, and the voltage regulation strategy is output to a voltage regulating device connected in parallel with the high-voltage capacitor.

6. A shock wave generator characterized by, An energy control method for a shock wave generator as claimed in any one of claims 1 to 5, the shock wave generator comprising: a pair of discharge electrodes forming a discharge gap between a cathode and an anode; a resistance detection unit connected in parallel to both sides of the pair of discharge electrodes, configured to collect a transient voltage U(t) across the discharge gap and a transient current i(t) in the circuit; a high-voltage capacitor connected in parallel to the pair of discharge electrodes; a voltage regulating device connected in parallel to the high-voltage capacitor, for regulating an initial voltage of the high-voltage capacitor; a control unit connected in signal with the resistance detection unit and the voltage regulating device respectively, for outputting a voltage regulating strategy to the voltage regulating device.

7. The shock wave generator of claim 6, wherein, Further comprising: a distance calibration mechanism built-in inside the shock wave generator, the distance calibration mechanism comprising a micro-distance sensing unit for monitoring a distance value of the discharge gap s between the cathode and the anode in real time, and a micro-drive adjusting unit for driving the cathode or the anode to generate an axial micro-displacement to correct the discharge gap s.

8. A medical instrument system, characterized by The shock wave generator as claimed in any one of claims 6 to 7.

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