Shock wave generator, energy control method and medical instrument system

Abstract

The invention discloses a shock wave generator, an energy control method and a medical instrument system, and the method comprises the steps: collecting current and voltage in the discharge process of the shock wave generator, and obtaining a current resistance value Rp1 of a discharge gap through the calculation of an equivalent circuit; inversely calculating a predicted resistance value Rp2 of the discharge gap in an advanced period through an energy prediction model, calculating an energy conversion efficiency correction coefficient eta by taking preset shock wave energy Ew as a target value, and generating a voltage regulation strategy for maintaining constant energy; real-time measurement of discharge impedance is combined with impedance prediction of an advanced period, and charging voltage is dynamically calculated and adjusted, so that closed-loop control that shock wave energy can be kept constant when electrode impedance changes along with use is realized, the shock wave energy can be kept constant under the condition of electrode impedance drifting, and the service life of the shock wave is prolonged. Therefore, the treatment consistency and the equipment durability are both considered.

Description

Technical Field

[0001] This invention relates to the field of medical technology, and in particular to a shock wave generator, an energy control method, and a medical device system. Background Technology

[0002] Shock wave generators, especially those based on the electrohydraulic effect, have wide applications in the medical field, such as in lithotripsy, treatment of musculoskeletal diseases, peripheral vascular and cardiovascular treatments, and tissue repair. In these treatments, the stability and precision of the shock wave energy are crucial factors determining the therapeutic effect and safety. Excessive energy may lead to tissue damage, while insufficient energy will fail to achieve the intended therapeutic purpose. Therefore, achieving long-term, stable shock wave energy output is a key technological challenge for improving the clinical performance and reliability of such medical devices.

[0003] In existing related technologies, a common energy control method is to employ open-loop or simple closed-loop control strategies. For example, this involves attempting to maintain constant energy by fixing the charging voltage, or passively and laggingly fine-tuning the voltage based only on partial electrical parameters of the current discharge cycle (such as currently measured impedance). However, these methods have a significant drawback: they cannot effectively address the systematic impedance drift caused by the slow degradation of electrodes over long-term use (such as electrolytic erosion and deposit adhesion). Specifically, existing technologies lack the ability to predict the future state of the system; their control behavior is based on a fixed operating mode. When electrode wear causes a slow but continuous change in its equivalent resistance, this fixed mode will always lag behind the actual energy decay trend, ultimately leading to uncontrollable drift in the output shock wave energy. This fails to guarantee the consistency of therapeutic energy throughout the entire lifespan of the device, thus affecting long-term efficacy and potentially posing risks due to unknown electrode conditions.

[0004] Therefore, it is necessary to improve the energy control technology of shock wave generators in the existing technology to solve the technical problem that the fixed mode cannot guarantee the consistency of treatment energy. Summary of the Invention

[0005] The purpose of this invention is to provide a shock wave generator, an energy control method, and a medical device system to solve the above-mentioned technical problems.

[0006] To achieve this objective, the present invention adopts the following technical solution: A method for controlling the energy of a shock wave generator 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 cycle is calculated by inversion using the 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.

[0007] Optionally, current and voltage are collected during the discharge process of the shock wave generator, which also includes: 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.

[0008] Optionally, the process of acquiring 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 acquired raw voltage-current time series data is subjected to mean filtering to obtain the denoised voltage signal U. c (t) and current signal I c (t).

[0009] Optionally, 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.

[0010] Optionally, 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.

[0011] Optionally, the specific process of calculating the predicted resistance value Rp2 of the discharge gap within the lead period through energy prediction model inversion 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.

[0012] Optionally, using a preset shock wave energy Ew as the target value, an energy conversion efficiency correction coefficient η is calculated to generate a voltage regulation strategy for maintaining constant energy, specifically including: Calling the pre-stored core energy formula Ew=η×(C×Ut) 2 Using the preset target shock wave energy Ew and the fixed capacitance value C as input parameters, the theoretical initial voltage Ut is derived by inversion. 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.

[0013] The present invention also provides a shock wave generator, employing the energy control method for the shock wave generator described above, wherein the shock wave generator comprises: A discharge electrode pair, with a discharge gap formed between its cathode and anode; A resistance detection unit, connected in parallel to both sides of the discharge electrode pair, is configured to collect the instantaneous voltage U(t) at both ends of the discharge gap and the instantaneous current i(t) in the circuit. A high-voltage capacitor is connected in parallel with the discharge electrode pair; A voltage regulating device, connected in parallel with the high-voltage capacitor, is used to regulate the initial voltage of the high-voltage capacitor; The control unit is connected to the resistance detection unit and the voltage regulator respectively, and is used to output a voltage regulation strategy to the voltage regulator.

[0014] Optionally, the shock wave generator further includes: A spacing calibration mechanism is built into the shock wave generator. The spacing calibration mechanism includes a micro-sensing unit for real-time monitoring of the spacing value of the discharge gap s between the cathode and the anode, and a micro-drive adjustment unit for driving the cathode or anode to generate axial micro-displacement to correct the discharge gap s.

[0015] The present invention also provides a medical device system including the shock wave generator described above.

[0016] Compared with the prior art, the present invention has the following beneficial effects: In each discharge cycle, current and voltage signals are first 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 cycle; with the preset target shock wave energy Ew 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 calculated accordingly, and a voltage adjustment strategy is generated and issued; This method combines the real-time measurement of discharge impedance with the impedance prediction of the advance cycle, and dynamically calculates and adjusts the charging voltage accordingly, realizing closed-loop control that can maintain constant shock wave energy even when the electrode impedance changes with use, so that the shock wave energy can still be kept constant under the condition of electrode impedance drift, thereby taking into account both treatment consistency and equipment durability. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] The structures, proportions, sizes, etc., shown in the accompanying drawings of this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed in the specification, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0019] Figure 1 This is a flowchart illustrating the energy control method for the shock wave generator in this embodiment. Figure 2 This is a schematic diagram of the liquid phase discharge equivalent circuit of the control circuit of the shock wave generator in this embodiment 1. Figure 3 This is a schematic diagram of the shock wave generator for this embodiment. Detailed Implementation

[0020] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0021] In the description of this invention, it should be understood that the terms "upper," "lower," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. 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 may be a component positioned centrally in the connection.

[0022] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0023] Example 1: Combination Figure 1 and Figure 2 As shown, this embodiment of the invention provides an energy control method for a shock wave generator, comprising the following steps: S1, the electrode spacing s of the shock wave generator is periodically calibrated by the spacing calibration mechanism to obtain and maintain a fixed electrode spacing s.

[0024] Its core purpose is to periodically calibrate and maintain the discharge gap s between the cathode and anode inside the shock wave generator through a built-in gap calibration mechanism. During long-term, high-frequency discharge, the electrode surface may experience minor wear due to electrolytic corrosion, shock wave erosion, or other reasons, leading to an increase in the discharge gap s; or it may decrease due to deposit adhesion. This minute change in gap directly and significantly alters the breakdown voltage and equivalent resistance of the plasma channel, thus becoming a major factor in shock wave energy drift.

[0025] The actual value of the gap s is monitored in real time by the micro-sensing unit (such as a capacitive displacement sensor) of the gap calibration mechanism, and the electrode position is precisely axially fine-tuned by the micro-drive adjustment unit (such as a piezoelectric ceramic actuator), thereby actively restoring and locking the discharge gap s to the preset standard value.

[0026] S2 collects current and voltage during the discharge process of the shock wave generator, and calculates the current resistance value Rp1 of the discharge gap through the equivalent circuit.

[0027] During each therapeutic discharge, the instantaneous voltage U(t) and instantaneous current i(t) waveforms in the discharge circuit are synchronously acquired by resistance detection units (such as a high-voltage probe and a Rogowski coil) connected in parallel on both sides of the discharge gap. These raw voltage-current timing data are then filtered and denoised before being substituted into a transient circuit equation (Uc(t) = Ic(t) × Rpl + Lpl × dIc(t) / dt) containing the plasma channel resistance Rpl and equivalent inductance Lpl. This allows for the real-time calculation of the continuously changing instantaneous resistance sequence {R(t)} throughout the entire main discharge duration.

[0028] The algorithm intelligently identifies the effective energy deposition platform region with relatively stable resistance value from the sequence, and determines the arithmetic mean of all resistance values ​​in this platform region as the effective resistance value Rp1 of this discharge. The Rp1 value objectively and accurately reflects the real electrical characteristics under the combined effect of the electrode surface state and the discharge gap at the current discharge moment.

[0029] S3, calculates the predicted resistance value Rp2 of the discharge gap in the leading cycle by inverting the energy prediction model, calculates the energy conversion efficiency correction coefficient η with the preset shock wave energy Ew as the target value, and generates a voltage regulation strategy to maintain constant energy.

[0030] It should be noted that the energy prediction model is essentially a data-driven empirical model reflecting the correlation between key internal parameters of the system. It directly establishes an empirical correlation between easily measurable key state parameters (discharge gap resistance) and overall performance indicators (energy conversion efficiency) through induction, and then extrapolates and predicts these correlations using historical trends of the parameters. The specific process is as follows: The system will construct 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 cycle, and Rp1~-1 to Rp1~-n represent the resistance values ​​of the previous 1 to nth historical cycles.

[0031] The core of the model's prediction lies in performing a weighted moving average trend analysis on the aforementioned sequence. The basic principle of this method is that recent resistance data better reflects the latest trends in electrode state changes and is therefore given higher computational weight; while earlier historical data has a correspondingly lower weight. By smoothing and trend extrapolation of this weighted sequence, the model can output the predicted resistance value Rp2 for the next (i.e., the lead cycle) discharge gap.

[0032] The predicted result Rp2 based on data trends will serve as a key input for feedforward control, used to subsequently query the resistance-efficiency mapping table. This enables proactive assessment of energy conversion efficiency and pre-compensation adjustment of voltage, ensuring stable output of shock wave energy. This method is computationally simple and has a fast response, making it highly suitable for integration into medical device systems requiring real-time control.

[0033] The system calibrates the theoretical voltage using an energy conversion efficiency correction coefficient η, calculates a target initial voltage that accurately compensates for energy efficiency degradation caused by factors such as electrode wear, and generates a complete voltage regulation strategy that includes this voltage value and the ECG-R wave triggering sequence. The output of this strategy ensures that even with slow electrode degradation, the energy of each emitted shock wave remains stable at the preset treatment target value.

[0034] It should be noted that, in combination Figure 2 As shown, the liquid phase discharge equivalent circuit includes: capacitor C, resistance R0 of the shock wave generator device itself, equivalent inductance L of the shock wave generator device itself, and resistance Rpl of the plasma channel (electrode spacing), and equivalent inductance Lp1 of the electrode spacing.

[0035] According to the equivalent circuit, when a conductive medium is used, the discharge gap itself is very small, so the equivalent resistance is much less than 1Ω (take 1Ω), and when the high voltage capacitance is less than 1μF (take 1μF), 5τ=5μS.

[0036] The shockwave is triggered by the R wave of ECG. The normal heart rate is 60-100 beats per minute. Even if the heart rate is too fast, reaching 200 beats per minute, the interval between each shockwave is at least 300ms, which is much longer than the charging and discharging time of the capacitor.

[0037] Therefore, when the liquid medium and the capacitor remain constant, the initial voltage and the discharge gap determine the magnitude of the shock wave energy.

[0038] The working principle of this invention is as follows: In each discharge cycle, current and voltage signals are first 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 cycle; with the preset target shock wave energy Ew 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 calculated accordingly, and a voltage adjustment strategy is generated and issued; This method combines the real-time measurement of discharge impedance with the impedance prediction of the advance cycle, and dynamically calculates and adjusts the charging voltage accordingly, realizing closed-loop control that can maintain constant shock wave energy even when the electrode impedance changes with use, so that the shock wave energy can still be kept constant under the condition of electrode impedance drift, thereby taking into account both treatment consistency and equipment durability.

[0039] In this embodiment, the process of collecting current and voltage during the discharge of the shock wave generator specifically includes: S21. 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.

[0040] In the main discharge circuit of the shock wave generator, a resistance detection unit (typically composed of a high-voltage probe and a Rogowski coil) is specifically installed in parallel on both sides of the discharge gap. This unit is designed to synchronously acquire the instantaneous voltage U(t) across the gap and the instantaneous current i(t) in the circuit during the main discharge phase (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 are strictly correlated on the time axis, providing an accurate and consistent foundation of raw voltage-current timing data and avoiding calculation errors introduced by signal asynchrony.

[0041] S22, the acquired raw voltage-current time series data is subjected to mean filtering to obtain the denoised voltage signal U. c (t) and current signal I c (t).

[0042] During rapid discharge under high voltage and high current, the acquired raw voltage-current signals inevitably become contaminated with various high-frequency noises, such as electromagnetic interference from switching actions and unstable fluctuations in the plasma itself. Mean filtering, a computationally efficient digital signal processing algorithm easily implemented in embedded systems, is used to smooth the raw timing data. The aim is to effectively suppress high-frequency noise interference while preserving the main signal trends, thereby obtaining cleaner and smoother voltage signals Uc(t) and current signals Ic(t), laying a reliable data foundation for subsequent accurate circuit parameter calculations.

[0043] In this embodiment, the process of calculating the current resistance value Rp1 of the discharge gap through the equivalent circuit specifically includes: S23, the denoised voltage signal U c (t) and current signal I c (t) Substituting into the equivalent circuit equation of the discharge gap, the equivalent circuit equation includes at least the discharge gap resistance Rpl and the equivalent inductance Lpl, and then using the circuit equation U c (t)=I c (t)×Rpl+Lpl×dI c The instantaneous resistance value R(t) is obtained by calculating (t) / dt in real time.

[0044] It should be noted that this solution does not use an ideal pure resistance model, but rather uses the denoised signal U c (t) and I c Substituting (t) into a more precise equivalent circuit equation, which includes two parameters: the discharge gap resistance Rpl and the equivalent inductance Lpl, the inductance Lpl mainly originates from the discharge electrode itself and the parasitic inductance of 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 the inductive component in the circuit on the voltage measurement, allowing the calculated resistance value to more realistically and accurately reflect the impedance characteristics of the discharge gap.

[0045] S24. From the instantaneous resistance sequence {R(t)} of the entire discharge cycle obtained by calculation, the plateau region where the resistance value tends to be stable and the fluctuation is less than the preset threshold is identified, and the plateau region is identified as the effective energy deposition stage of the main discharge.

[0046] Since the formation and development of the discharge gap is a dynamic process, its resistance value R(t) often changes in the early and late stages of the discharge, and not all resistance values ​​represent effective shock wave generation. This step analyzes the instantaneous resistance sequence {R(t)} throughout the discharge cycle and sets a preset fluctuation threshold to intelligently identify the plateau region where the resistance value tends to stabilize. This plateau region corresponds to the period when the plasma channel has been fully formed and energy injection is most stable and efficient. Therefore, this period is identified as the effective energy deposition stage of the main discharge.

[0047] S25, 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.

[0048] Within the identified effective energy deposition stage, the resistance value, although stable, still exhibits minor fluctuations. 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 within this stage and calculates their arithmetic mean. This average value is ultimately determined as the current discharge gap resistance value Rp1, which has significant advantages: it further filters out random fluctuations by averaging, making Rp1 a key state parameter that robustly reflects the overall conductivity characteristics of the plasma channel during this discharge process, providing a reliable input for subsequent prediction and voltage strategy generation.

[0049] 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 is established between the resistance value Rp1 of the discharge gap and the energy conversion efficiency correction coefficient η.

[0050] It should be noted that discharge experiments were conducted using a target shock wave generator under various known electrode states (simulating long-term wear) and operating conditions. The calculated discharge gap resistance value Rp1 for each discharge was simultaneously recorded, along with the actual energy conversion efficiency correction coefficient η, which was ultimately calculated using independent measurements (such as pressure sensors). Subsequently, statistical methods were used to process and analyze the data, establishing a stable mapping relationship from the resistance value Rp1 to the efficiency correction coefficient η. This mapping relationship was ultimately stored in the control unit's memory in the form of a lookup table or a fitting formula. The advantage of this construction method is that it directly originates from actual system operating data, avoiding errors that may arise from complex theoretical modeling. This results in more realistic and reliable model predictions. Furthermore, the lookup table approach reduces the computational requirements on the processor, ensures fast system response, and keeps implementation costs under control.

[0051] In this embodiment, the specific process of calculating the predicted resistance value Rp2 of the discharge gap within the leading period through energy prediction model inversion is as follows: S31, construct the 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; Each Rp1 value is obtained through the aforementioned steps and methods, forming the data basis for the resistance change trend analysis.

[0052] This sequence serves as a time window, systematically recording continuous data on the evolution of discharge gap resistance over time. The purpose of constructing this sequence is to transform isolated, single resistance measurements into a dataset reflecting long-term trends, providing the necessary data foundation for subsequent prediction algorithms.

[0053] S32, perform trend prediction analysis on the resistance value Rp sequence based on the weighted moving average method, in which recent resistance data is given higher weight, and calculate the predicted resistance value Rp2 corresponding to the advance of the next discharge cycle.

[0054] It should be noted that a weighted moving average method is used for trend prediction analysis of the historical resistance sequence. The core of this method lies in its weighting strategy: assigning higher weights to recent resistance data and lower weights to older data. This design is based on a reasonable physical assumption—electrode wear or state change is a gradual process, and the recent state has a stronger guiding significance for predicting the next moment. Through this algorithm, the system can calculate the predicted resistance value Rp2 of the discharge gap in the next discharge cycle. This allows the system to anticipate resistance changes caused by slow electrode wear, creating conditions for early energy compensation.

[0055] In this embodiment, it is further explained that, using a preset shock wave energy Ew as the target value, an energy conversion efficiency correction coefficient η is calculated to generate a voltage regulation strategy for maintaining constant energy, specifically including: S33, invoke the pre-stored core energy formula Ew=η×(C×Ut) 2 Using the preset target shock wave energy Ew and the fixed capacitance value C as input parameters, the theoretical initial voltage Ut is derived by inversion.

[0056] The system takes the preset, desired output target shock wave energy Ew and the known fixed capacitance value C as inputs, and temporarily assumes an ideal efficiency (e.g., initial calibration efficiency). It then derives the theoretical initial voltage Ut through formula inversion. This Ut value represents the voltage theoretically required to achieve the target energy Ew under the ideal efficiency model, providing an accurate reference starting point for subsequent calibration based on actual operating conditions.

[0057] S34. Using the predicted resistance value Rp2 as the input key, query the resistance-efficiency mapping relationship table established in advance through a large number of experiments to obtain the corresponding energy conversion efficiency correction coefficient η.

[0058] 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). Using the predicted resistance value Rp2 as an input key, a pre-established resistance-efficiency mapping table is queried. Through this query operation, the system can match a highly fitting and realistic energy conversion efficiency correction coefficient η to the predicted future resistance Rp2, thus closely linking theoretical calculations with actual physical processes.

[0059] S35, 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.

[0060] This calibration process essentially compensates for the decrease in energy transfer efficiency caused by factors such as electrode wear and changes in water quality. By increasing the initial voltage, the efficiency loss is offset, thereby ensuring that the energy of the shock wave ultimately deposited on the target remains precisely equal to the preset target value Ew. The target initial voltage Us obtained after calibration is the voltage value that will ultimately be applied to the capacitor to achieve constant energy under actual operating conditions.

[0061] S36, combining the target initial voltage Us and the predicted resistance value Rp2, generates a voltage regulation strategy that includes specific voltage values ​​and ECG-R wave triggering timing, and outputs the voltage regulation strategy to a voltage regulating device connected in parallel with the high-voltage capacitor.

[0062] Among them, the ECG-R wave triggering sequence refers to a time control scheme that uses a specific and identifiable waveform in the patient's electrocardiogram—the R wave—as a reference time point to initiate an external action (in this scheme, triggering the shock wave of the shock wave generator).

[0063] It should be noted that the calculation results from the preceding steps—the target initial voltage Us (which determines the energy level) and the predicted resistance value Rp2 (serving as a reference state for the strategy)—are integrated and incorporated into medical safety timing control to generate a complete and executable voltage regulation strategy. This strategy not only includes the specific voltage value Us that needs to be set, but also specifies the ECG-R wave triggering sequence synchronized with the patient's heart rhythm to ensure the safety and effectiveness of the treatment. Finally, this complete strategy is output to a voltage regulator connected in parallel with a high-voltage capacitor. This hardware device is responsible for charging the capacitor to the specified voltage at a precise moment within the next heartbeat cycle, thereby completing a precise, controllable, and constant-energy shock wave emission.

[0064] Example 2: Combination Figure 3 As shown, the present invention also provides a shock wave generator, employing the energy control method of the shock wave generator as described in Embodiment 1. The shock wave generator 100 includes: The discharge electrode pair 101 forms a discharge gap 102 between its cathode and anode.

[0065] The resistance detection unit 150 is connected in parallel to both sides of the discharge electrode pair 101 and is configured to collect the instantaneous voltage U(t) at both ends of the discharge gap and the instantaneous current i(t) in the circuit.

[0066] A high-voltage capacitor 120 is connected in parallel with the discharge electrode pair 101.

[0067] The voltage regulating device 130 is connected in parallel with the high-voltage capacitor 120 and is used to regulate the initial voltage of the high-voltage capacitor 120.

[0068] The control unit 140 is connected to the resistance detection unit and the voltage regulator respectively, and is used to output the voltage regulation strategy to the voltage regulator.

[0069] The spacing calibration mechanism 110 is built into the shock wave generator. The spacing calibration mechanism 110 includes a micro-sensing unit for real-time monitoring of the spacing value s of the discharge gap 102 between the cathode and the anode, and a micro-drive adjustment unit for driving the cathode or anode to generate axial micro-displacement to correct the discharge gap s.

[0070] The micro-sensing unit is implemented using a contact micro-strain gauge or a non-contact capacitive displacement sensor; the micro-drive adjustment unit is implemented using a piezoelectric ceramic actuator.

[0071] The working principle of this invention is as follows: First, the spacing calibration mechanism periodically calibrates and locks the gap s between the discharge electrode pairs to ensure the stability of the physical basis of energy control. Then, during each treatment discharge, the resistance detection unit synchronously collects the instantaneous voltage U(t) and current i(t) at both ends of the discharge gap and sends this raw data to the control unit. The control unit calculates the instantaneous resistance in real time using circuit equations including inductance parameters, determining a resistance value Rp1 that characterizes the current discharge state. Based on the current and historical Rp1 sequence, the control unit calls the built-in energy prediction model to calculate the predicted resistance Rp2 for 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 capacitor C, the required target initial voltage Us is inverted and calibrated, thereby generating a voltage regulation strategy integrating voltage values ​​and ECG-R wave triggering timing. This strategy is sent to the voltage regulating device, which charges the high-voltage capacitor to the target voltage Us at a precise moment in the next heartbeat cycle and triggers the discharge. By combining active calibration at the hardware level with software-level coordination, the system achieves intelligent software compensation for hardware losses, significantly improving the consistency of shock waves during use and enhancing the overall performance.

[0072] Example 3: The present invention also provides a medical device system, including a shock wave generator as described in Embodiment 2.

[0073] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions 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 invention.

Claims

1. An energy control method of a shock wave generator, characterized by, The method comprises the following steps: 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 an equivalent circuit; The predicted resistance value Rp2 of the discharge gap in the advance period is calculated by an energy prediction model, a correction coefficient η of energy conversion efficiency is calculated with the preset shock wave energy Ew as a target value, and a voltage adjustment strategy for maintaining constant energy is generated; the energy prediction model is constructed in the following manner: based on historical discharge data of the shock wave generator, a mapping relationship between the resistance value Rp1 of the discharge gap and the correction coefficient η of energy conversion efficiency is established; wherein the specific process of calculating the predicted resistance value Rp2 of the discharge gap in the advance period by the energy prediction model is as follows: A resistance value Rp sequence {Rp1~0, Rp1~-1,..., Rp1~-n} in a historical discharge period is constructed; wherein Rp1~-n is the resistance value Rp data in the previous n periods; The resistance value Rp sequence is subjected to trend prediction analysis based on a weighted moving average method, wherein recent resistance data is given a higher weight, and the predicted resistance value Rp2 corresponding to the next discharge period in advance is calculated.

2. The energy control method of the shock wave generator according to claim 1, characterized by, 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 an equivalent circuit; The electrode spacing s of the shock wave generator is periodically calibrated by a spacing calibration mechanism, and a fixed electrode spacing s is obtained and maintained.

3. The energy control method of a shock wave generator according to claim 1, wherein The process of collecting the current and voltage during the discharge process of the shock wave generator specifically comprises: 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 by the resistance detection unit to obtain original voltage-current time series 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 the shock wave generator according to claim 3, characterized by, The process of calculating the current resistance value Rp1 of the discharge gap through an equivalent circuit specifically comprises: 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 calculated instantaneous resistance sequence {R(t)} of the entire discharge period, a platform region with a stable resistance value and a fluctuation less than a preset threshold is identified, and the platform region is identified as an effective energy deposition stage of the main discharge; The instantaneous resistance values of all sampling points in the effective energy deposition stage are extracted, and the arithmetic mean value is calculated, which is finally determined 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, With the preset shock wave energy Ew as a target value, a correction coefficient η of energy conversion efficiency is calculated, and a voltage adjustment strategy for maintaining constant energy is generated, which specifically comprises: 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. The predicted resistance value Rp2 is taken as an input key value to query a resistance-efficiency mapping relationship table established by a large number of experiments in advance to obtain the corresponding correction coefficient η of energy conversion efficiency; The correction coefficient η of energy conversion efficiency obtained by querying is substituted into the core energy formula, and the theoretical initial voltage Ut is recalculated and calibrated to obtain a target initial voltage Us for actual control; The target initial voltage Us and the predicted resistance value Rp2 are combined to generate a voltage adjustment strategy containing specific voltage values and 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.

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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