An impedance matching method for ultrashort wave therapeutic instrument based on standing wave ratio adjustment

Abstract

The application discloses an impedance matching method of ultrashort wave therapeutic instrument based on standing wave ratio adjustment, relates to the field of ultrashort wave treatment and comprises the following steps: automatically identifying a treatment site and evaluating the contact quality between a treatment electrode and skin tissue through a sensor integrated with the treatment electrode, inquiring a historical matching database according to the information, intelligently predicting and presetting initial impedance matching parameters, and providing a suitable starting point for subsequent adjustment; then, starting treatment energy, performing standing wave ratio closed-loop feedback adjustment with the preset state as the starting point, adopting a phased variable step strategy to realize fast and fine matching, and intelligently diagnosing and prompting in combination with the contact quality when an abnormality occurs. Finally, the system evaluates the matching performance of this time, stores the successful treatment state, impedance matching parameters and performance evaluation in association, and dynamically updates the matching database. The application effectively solves the problems of slow matching and starting, passive process and lack of experience accumulation of traditional methods, and improves the treatment stability and the intelligent level of the equipment.

Description

Technical Field

[0001] This application relates to the field of ultra-shortwave therapy, and in particular to an impedance matching method for ultra-shortwave therapy devices based on standing wave ratio adjustment. Background Technology

[0002] Shortwave diathermy devices require impedance matching networks to match the output impedance of their radio frequency power source with the human body's load impedance, ensuring efficient energy transmission and device safety. Current mainstream technologies employ a closed-loop feedback adjustment method based on standing wave ratio (SWR) detection. This method calculates the SWR in real time by detecting reflected power and adjusts components such as capacitors and inductors in the matching network accordingly to gradually approach the optimal matching point.

[0003] However, this method has inherent limitations: each treatment begins the search with fixed or random network parameters, resulting in slow matching convergence and affecting treatment efficiency; moreover, the entire adjustment process is entirely passive in response to real-time detected mismatches, and the response to impedance changes caused by patient movement during treatment is delayed, which may cause output fluctuations. In addition, existing methods lack the ability to learn from and utilize historical matching experience, making it impossible to achieve rapid treatment initiation and personalized adaptation.

[0004] Although there are solutions to improve the VSWR adjustment speed by optimizing the control algorithm, none of them have fundamentally solved the problems of poor matching starting point and lack of experience reuse. Summary of the Invention

[0005] To address the technical problems of the prior art, this application provides an impedance matching method for ultra-shortwave therapy devices based on standing wave ratio (SWR) adjustment. Building upon closed-loop SWR adjustment, it introduces a treatment state perception and data-driven learning mechanism. By automatically identifying the treatment site and assessing contact quality, querying the historical matching database, and intelligently predicting and presetting initial impedance matching parameters, it solves the problems of blind matching starting points and slow startup in existing methods. Furthermore, by using the pre-set impedance matching network state as the adjustment starting point for closed-loop SWR adjustment, it achieves rapid and stable convergence and performs intelligent diagnosis based on contact quality parameters when anomalies occur. It also correlates each successful matching experience with performance evaluation through learning, dynamically updating the internal database, enabling the ultra-shortwave therapy device to continuously optimize and adapt to individual needs, thus improving treatment efficiency and stability.

[0006] This application provides an impedance matching method for an ultra-shortwave therapy device based on standing wave ratio adjustment, including:

[0007] Step S10: Generate current treatment status information based on the physical signals collected by the sensor array integrated on the treatment electrode of the shortwave diathermy device. Step S20: Based on the treatment status information, the initial impedance matching parameters of the current shortwave therapy device are determined by utilizing the correlation between the historical treatment status information and the historical optimal impedance matching parameters in the historical matching database, and the impedance matching network of the shortwave therapy device is pre-set. Step S30: During the process of the ultra-shortwave therapy device outputting therapeutic energy, the standing wave ratio of the therapy device's energy output system is detected, and the impedance matching network state preset in step S20 is used as the starting point for adjustment. A phased variable step size strategy is adopted to adjust the impedance matching network in feedback so that the standing wave ratio reaches and stabilizes within the preset range. Step S40: After the standing wave ratio stabilizes, associate the current treatment status information with the corresponding stable impedance matching parameters, and update the historical matching database based on the effectiveness evaluation of this impedance matching process.

[0008] Furthermore, the treatment status information includes the treatment site identifier identified by physical signal analysis, and the contact quality evaluation parameters between the electrode and the skin tissue calculated based on the physical signals.

[0009] Furthermore, step S10 includes the following detailed steps: Step S101: Acquire the raw signals output by the pressure sensor array and the capacitive sensing array; Step S102: Convert the original signal into a pressure distribution image and a capacitance distribution image; Step S103: Extract features from the pressure distribution image and capacitance distribution image to obtain treatment site identifiers; wherein, the feature extraction is accomplished by pattern matching between the features of the current distribution image and the features of pre-stored standard distribution images of different body parts. Step S104: Calculate statistical characteristic values ​​reflecting contact uniformity from the pressure distribution image and capacitance distribution image, and use them as the contact quality evaluation parameters. These parameters are obtained by weighted fusion of the pressure uniformity index and the capacitance consistency index.

[0010] Further, in step S20, determining the current initial impedance matching parameters of the ultra-shortwave therapy device includes the following detailed steps: Step S201: Calculate the matching degree between the treatment site identifier in the current treatment status information and the historical treatment site identifier recorded in the historical matching database; Step S202: Filter out one or more historical records with a matching degree higher than the first preset threshold; Step S203: Based on the historical best impedance matching parameters, historical matching efficacy scores, and the matching degree between the record and the current treatment status information associated with each selected historical record, a weighted calculation is performed to obtain an initial parameter baseline value. Step S204: Based on the contact quality evaluation parameters in the current treatment status information, the initial parameter benchmark value is corrected to obtain the final initial impedance matching parameters; when the contact quality evaluation parameters are lower than the preset standard, the correction direction is to make the parameters biased towards the matching area with a value less than the preset reflection intensity value.

[0011] The historical matching performance score is a comprehensive evaluation score derived from the adjustment time, total adjustment steps, and steady-state standing wave ratio required for the matching process corresponding to the historical record to reach stability. In the weighted calculation, the higher the historical matching performance score of a record, the larger its corresponding weight coefficient.

[0012] Further, in step S30, the phased variable step size strategy includes: Step S301: In the first stage, the impedance matching network of the ultra-shortwave therapy device is adjusted with a first set step size to reduce the standing wave ratio of the energy output system. Step S302: When the VSWR is detected to drop to the first stage threshold, the second stage is entered, and the second set step size, which is smaller than the first set step size, is used for fine adjustment until the VSWR is stable within the preset range. Step S303: If, in the second stage, the VSWR does not show a convergence trend within multiple consecutive adjustment cycles or does not enter the preset range within a preset time, it is determined to be an adjustment abnormality, triggering step S304. Step S304: After the adjustment abnormality occurs, a graded operation prompt is generated based on the value of the contact quality evaluation parameter: if the parameter value is lower than the preset threshold, the prompt is to check whether the electrodes of the ultra-shortwave therapy device have fallen off; otherwise, the prompt is to adjust the position of the electrodes of the ultra-shortwave therapy device to improve the contact uniformity; at the same time, the impedance matching network is controlled to reset to the safe parameter point, and the impedance matching process is restarted.

[0013] If a step increase in the standing wave ratio is detected in real time, the energy output is reduced and the reacquisition of treatment status information is automatically triggered. Based on the reacquisitioned information, it is determined whether the treatment electrode has been accidentally moved or the contact status has changed drastically, and it is decided whether to start the process from step S20 again.

[0014] Further, in step S40, the updated historical matching database includes: Step S401: Calculate the performance score of this impedance matching. The scoring criteria include the time efficiency score required from the completion of the preset to the VSWR stabilization score, the smoothness score of the adjustment process, and the quality score of the VSWR steady state. Step S402: Package the current treatment status information, stable matching parameters, efficacy score, and timestamp in this impedance matching into a data package; Step S403: Store the data packet in the matching database. If there is a historical data packet in the matching database that has a similarity to the current treatment status information that exceeds a preset update threshold, compare the effectiveness scores of the two data packets, and update the original data according to the score value and time, and form a new reference record.

[0015] The process of updating the original data according to the preset rules means that: if the performance score of the new data packet is higher than that of the old data packet, the corresponding parameters in the old data packet are replaced with the stable matching parameters in the new data packet, and the performance score and timestamp are updated; if the performance score of the new data packet is lower than that of the old data packet, the old data packet is retained, but its weight is reduced according to the time decay factor, and the new data packet is stored as an additional reference without overwriting the main records in the original data.

[0016] The present invention discloses the following technical effects: This invention provides an impedance matching method for ultra-shortwave therapy devices based on standing wave ratio adjustment. By intelligent pre-matching based on historical data and the current treatment state, stable initial impedance parameters are preset for the impedance matching network before treatment begins, which shortens the convergence time of impedance matching and improves the working efficiency of ultra-shortwave therapy devices.

[0017] This invention automatically identifies the treatment site and assesses the contact quality between the electrode and skin tissue using sensors, reducing the burden of manual input and repeated adjustments for the operator. More importantly, when abnormalities occur during impedance matching, it can intelligently diagnose the problem by combining real-time detected VSWR with pre-stored contact quality parameters and generate targeted operation prompts. This effectively avoids the risk of energy reflection and equipment damage caused by operational problems such as poor contact and electrode displacement, improving the safety of the entire impedance matching process for the ultra-shortwave therapy device.

[0018] This invention enables closed-loop learning to automatically establish and continuously update an optimal matching parameter database for different treatment sites and contact states. As usage data accumulates, the device's pre-matching accuracy and intelligence level continuously evolve, providing increasingly precise and rapid matching services for different operators and patients. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating an impedance matching method for an ultra-shortwave therapy device based on standing wave ratio adjustment, provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] Example 1: This application provides an impedance matching method for an ultra-shortwave therapy device based on standing wave ratio adjustment, such as... Figure 1 As shown, the method includes: Step S10: Based on the physical signals collected by the sensor array integrated on the treatment electrode of the shortwave diathermy device, the current treatment status information is generated.

[0022] In this embodiment, the ultra-shortwave therapy device operates at a frequency of 40.68MHz, and the impedance matching network is a π-type network that includes a variable vacuum capacitor driven by a stepper motor and a variable inductor.

[0023] The treatment electrode plate of this shortwave diathermy device integrates a pressure sensor array and a capacitive sensing array. The pressure sensor array consists of 16 miniature piezoresistive sensors arranged in a 4×4 grid to measure the contact pressure distribution between the electrode and the body surface; the capacitive sensing array consists of 8 concentric ring electrodes to measure the capacitive coupling distribution between the electrode and the skin tissue.

[0024] Once the treatment electrode is attached to the patient's treatment area (e.g., the front of the left knee joint), signal acquisition is initiated: The pressure sensor array's 16 channels synchronously acquire voltage signals at a sampling rate of 200Hz, which are then converted into digital signals by a 24-bit analog-to-digital converter to obtain a 16-dimensional raw pressure data sequence. ; The eight channels of the capacitive sensing array use a capacitance-to-digital converter chip to measure the capacitance of each ring electrode to a reference ground at a frequency of 100Hz, obtaining an eight-dimensional raw capacitance data sequence. .

[0025] Signal acquisition lasted for 500ms, and then the average value of each channel during this period was calculated to eliminate the influence of random noise and physiological micro-movements, thus obtaining a stable pressure vector. and capacitance vector .

[0026] Secondly, the acquired raw signals are converted into visual distribution images to facilitate subsequent feature extraction and pattern recognition, including: The positions of 16 pressure sensors are mapped onto an 8×8 virtual grid, with each sensor corresponding to a 2×2 pixel area within the grid. For each sensor's pressure value, bilinear interpolation is performed on its corresponding 2×2 pixel area to generate an 8×8 pixel grayscale image of the pressure distribution. The higher the pressure value, the higher the grayscale value of the corresponding pixel. Gaussian filtering is then applied to the generated grayscale image to smooth local noise, yielding the final pressure distribution image. ; Eight concentric annular electrodes are numbered sequentially from the center outwards and mapped onto a polar coordinate system, with each annular electrode corresponding to a circular region. The polar coordinate system is then transformed to a Cartesian coordinate system, generating an 8×8 pixel grayscale image of the capacitance distribution. The grayscale value of each pixel is determined by the capacitance value of the annular electrode corresponding to its location; pixels in the central region are determined by the inner ring electrode value, while pixels in the edge regions are determined by the outer ring electrode value. Morphological opening operations are performed on the capacitance distribution grayscale image to eliminate minor noise, yielding the final capacitance distribution image. ; Next, the generated pressure distribution image and capacitance distribution image Extraction is performed, and the treatment site of the current patient is identified through pattern matching, including: From pressure distribution image Extract the pressure centroid coordinates ( ), the first three invariant moments of Hu ( , , and image entropy From capacitance distribution image Extract the mean radial gradient of capacitance distribution. Standard deviation of capacitance values ​​of each ring and the radius of the position of the maximum capacitance The above features are then combined into a joint feature vector. ; The system pre-stores a standard feature library containing standard feature vectors for common treatment sites on the human body (such as "front of the left knee", "outer side of the right shoulder", "lumbosacral region", "abdomen", etc.); these standard features are obtained through statistical analysis of a large amount of clinical trial data. Calculate the current joint feature vector Mahalanobis distance to each standard feature vector in the standard feature library; Select the standard feature vector with the smallest Mahalanobis distance; if its distance value is less than a preset threshold... If the current treatment site is determined to be the site corresponding to the standard feature, a treatment site identifier is generated. ; If the minimum distance is still greater than the threshold If the location is unknown, the system will prompt the operator to manually select it from the list via the human-machine interface. The feature vector collected this time and the location information confirmed by the operator will be used as a new sample to update the standard feature library in the future.

[0027] Finally, statistical characteristics reflecting the uniformity of electrode-skin tissue contact are calculated from the generated pressure and capacitance distribution images. These are used to comprehensively derive parameters for evaluating the contact quality between the electrode and skin tissue, including: Calculate pressure distribution image grayscale standard deviation of all non-zero pixels and normalized variance As an indicator of pressure uniformity:

[0028] in, The average gray value of the pressure distribution image, when the electrode is in complete and uniform contact with the skin tissue. =0, =1; Calculate capacitance distribution image In the figure, calculate the standard deviation of the capacitance change gradient curve along the radial direction (from the center outwards). Define capacitance consistency index :

[0029] Contact quality evaluation parameters It is obtained by weighted fusion of pressure uniformity index and capacitance consistency index:

[0030] in, and These are the weighting coefficients, and Through experimental calibration; The values ​​are normalized to the range of [0, 100], and the higher the score, the more uniform the contact.

[0031] Finally, this step outputs treatment status information, including the treatment location identifier. and contact quality evaluation parameters .

[0032] Step S20: Based on the treatment status information, the initial impedance matching parameters of the ultra-shortwave therapy device are determined by utilizing the correlation between the historical treatment status information and the historical optimal impedance matching parameters in the historical matching database, and the impedance matching network of the ultra-shortwave therapy device is pre-set.

[0033] In this embodiment, this step, based on the treatment status information obtained in step S10, performs intelligent parameter presetting to determine a set of near-optimal initial impedance matching parameters. This process specifically includes: First, calculate the matching degree between the current treatment status information and the historical records in the historical matching database, including: The system accesses a historical matching database, which stores N historical records, each record The data structure is , This includes historical treatment status information, including historical site identifiers. Quality of contact with history ; The historical best impedance matching parameter is a two-dimensional vector. , representing the angular position (in degrees) of the variable capacitor and the equivalent inductance value of the variable inductor when the optimal match is achieved under this historical state, respectively; The historical matching performance score is a scalar in the range [0,100], calculated based on the convergence speed, stability, and final matching depth of the historical matching. Current treatment status information and the first historical records Matching degree Calculated using the following formula:

[0034] in, This is a similarity function for body part identifiers. If the two strings are completely identical, the value is 1; if they belong to the same category but have different specific descriptions (such as "front of the left knee" and "front of the right knee"), the value is 0.7; if they are completely different, the value is 0. This mapping relationship is predefined. This measure is used to assess the similarity of contact quality. The smaller the difference, the closer the value is to 0, indicating that the current and historical electrode contact states with skin tissue are more similar. and As the weighting coefficient, in this embodiment =0.6, =0.4, emphasizing the primary determining role of the treatment site while also taking into account the influence of the contact state.

[0035] Secondly, the historical records in the historical matching database are filtered, including: Set two matching thresholds: the first preset threshold Second preset threshold ; The system filters out all matching scores. The historical records constitute a set of highly matched records. : like If not empty, proceed to the weighted calculation path; like Empty, but with matching degree The records that are matched constitute the set of matching records in the middle. The system calls a lightweight pre-trained prediction model (e.g., using...). The linear regression model (trained with features and parameters recorded in the data) directly predicts the initial impedance matching parameters using the current treatment status information as input, and then jumps to the parameter correction step. like and If all parameters are empty, the system default initial parameters will be used, and the process will proceed to the parameter correction step.

[0036] Next, the initial parameter baseline values ​​are obtained through weighted calculation, including: Highly matched record set It contains K records, and for the k-th record, its contribution weight to the initial parameter baseline value. Represented as the product of its matching degree and performance score; initial parameter baseline value. The weighted average is calculated and expressed by the formula:

[0037] in, Initial reference values ​​including variable capacitor and variable inductor and , This represents the historically optimal impedance matching parameters stored in the k-th high-matching historical record, which represent the actual parameters of the impedance matching network when the optimal match is achieved in that historical scenario.

[0038] Finally, the initial parameter baseline values ​​are obtained. Then, based on the current contact quality evaluation parameters After applying safety corrections, the final initial impedance matching parameters are obtained. ,include: Define contact quality threshold (This example is worth 60 points), only when The correction is triggered on time, and it mainly targets the variable capacitor parameters, which are more sensitive to matching, while the inductor parameters remain unchanged. Set safety capacitor value This value corresponds to the robust operating point of the impedance matching network that can maintain low reflection over a wide load range, and is determined in advance through experiments; Final initial capacitance value It is calculated using the following formula:

[0039] in, This is the corrected strength coefficient, which is set to 0.5 in this embodiment; measure The "bad" level, falling below safety standards, is rated between 0 and 1. The lower the value, the larger the factor. Indicates the direction and magnitude of adjustment from the reference value to the safety value; initial inductance value. Pick ; The final initial impedance matching parameters are calculated. Then, the network control module of the ultra-shortwave therapy device drives the stepper motor to rotate the variable capacitor in the impedance matching network to... The corresponding mechanical angle, and switch the variable inductor to The corresponding tap position; at this point, the impedance matching network has been pre-set to a high starting point state based on intelligent prediction and considering contact safety before the therapeutic energy output.

[0040] In step S30, during the output of therapeutic energy by the ultra-shortwave therapy device, the standing wave ratio of the energy output system of the therapy device is detected, and the impedance matching network state preset in step S20 is used as the starting point for adjustment. A phased variable step size strategy is adopted to adjust the impedance matching network to make the standing wave ratio reach and stabilize within the preset range.

[0041] In this embodiment, after the parameter preset in step S20 is completed, the system starts the therapeutic energy output and enters the closed-loop feedback adjustment stage based on real-time standing wave ratio detection. This stage adopts a phased variable step size strategy, aiming to achieve rapid convergence and stable maintenance, and trigger intelligent diagnosis and processing in case of abnormalities. The specific steps are as follows: The first-stage objective of feedback regulation is to rapidly reduce the high VSWR that may be caused by initial load changes, allowing the system to quickly enter the vicinity of the matching region. The steps include: After confirming the energy output, i.e., the power amplifier output is set to 20W, the VSWR detection module starts operating at a frequency of 500Hz to detect and calculate the voltage standing wave ratio (VSWR) in real time; the first set step size is then set. This step size should be relatively large to enable fast parameter traversal; for example, for a variable capacitor driven by a stepper motor, let... = 0.5 degrees (corresponding to a capacitance change of approximately 0.5 pF); for variable inductors, set a correspondingly larger step position; set the first-stage threshold. This threshold flag marks the boundary between rapid coarse adjustment and fine-tuning, set to a value that indicates a clear mismatch but is outside the severe mismatch zone. (This is from an example.) = 3.0; Adjust the initial impedance matching parameters preset in step S20. Starting from this point, the steepest descent method is employed; after each adjustment, the VSWR values ​​before and after the adjustment are compared. and ): like This indicates that the adjustment direction is correct; continue in the same direction with increments of [number] steps. adjust; like If the adjustment direction is incorrect or the optimal value has been exceeded, then reverse the adjustment (i.e., change the adjustment direction of the capacitor and inductor). Continue this process until detection occurs. Then it enters the second stage of feedback regulation.

[0042] The second stage of feedback adjustment aims to make fine adjustments within a region close to the optimal point, so that VSWR reaches and stabilizes within the preset range required by the final requirement. The steps include: Switch to the second set step size ,and This embodiment =0.1 degrees, a smaller step size helps to accurately locate near the optimal value and avoid steady-state oscillations caused by excessively large step sizes; set a preset range for the final target, and in this embodiment, the standing wave ratio is required to be less than 1.5; Using the perturbation observation method, at the current point, first record the current VSWR value. ; fine-tune in the preset direction Step size, VSWR measured as Reset the impedance matching parameters to the current point, then fine-tune them in the opposite direction to the preset direction. Step size, VSWR measured as ; Compare , and : like If the value is minimized, the current impedance matching parameter will be shifted one position in the preset direction. Step size, and use this as the new current point; like If the minimum value is reached, the current impedance matching parameter will be finely adjusted in the opposite direction to the preset direction. Step size, and use this as the new current point; like If the minimum value is reached, then the current point remains unchanged. In this embodiment, if the VSWR value remains below 1.5 and fluctuates less than ±0.05 after five consecutive adjustment cycles, the impedance matching is considered to have reached a stable state, and the closed-loop adjustment is considered successfully completed. Furthermore, during the second stage of fine-tuning, the system continuously monitors the adjustment process to promptly identify any abnormal situations that prevent convergence. If the VSWR does not show a convergence trend within multiple consecutive adjustment cycles or fails to enter the preset range within a preset time, it is determined to be an adjustment anomaly. Once an adjustment anomaly is determined, the system immediately executes a preset safety and diagnostic procedure designed to protect the equipment and guide the operator to resolve the problem. This procedure includes the following steps: The system reads the contact quality evaluation parameters acquired and stored in step S10. The value, and a low threshold for contact quality is preset. (This example is worth 30 minutes); like The system deduces that the treatment electrode may have detached or only has a very small area of ​​contact with the skin tissue; it generates the following message: "Alert: Extremely weak electrode contact signal detected. Please immediately check whether the electrode has detached from the patient's body or whether the electrode cable is securely connected." like The system infers that the treatment electrode is in contact with the skin tissue, but the contact may be uneven, misaligned, or poorly adhered. The system generates the following message: "Prompt: Matching error. The current electrode contact may be unsatisfactory. Please try slightly lifting and repositioning the electrode to ensure even adhesion to the skin, and then try again." The prompt message is displayed on the screen of the shortwave diathermy device and may be accompanied by voice announcement; while generating the prompt, the system performs the following hardware protection and recovery operations: Immediately control the power amplifier to reduce the output power to a safe level (5W) or stop the output; The adjustable components (capacitors, inductors) in the impedance matching network are reset to a predefined safe parameter point; this point corresponds to the center area of ​​the network on the Smith chart, which can maintain relatively low reflection even under large load changes, preventing damage to the equipment due to increased reflection caused by the network parameters being in extreme positions under abnormal conditions; after the reset is completed, the system automatically restarts the entire impedance matching process.

[0043] Step S40: After the standing wave ratio stabilizes, associate the current treatment status information with the corresponding stable impedance matching parameters, and update the historical matching database based on the effectiveness evaluation of this impedance matching process.

[0044] In this embodiment, after successful closed-loop fine-tuning to stabilize the VSWR within a preset range, the system enters the experience learning and update phase. The goal of this phase is to evaluate the successful matching process and store the evaluation results along with impedance matching parameters and treatment status information to optimize the historical matching database, thereby enabling the system to continuously learn and evolve. The specific steps are as follows: First, extract key data from this impedance matching process to calculate the overall performance score. ,include: Based on the time required from the completion of impedance matching network setup to the stabilization of the standing wave ratio. Calculate time efficiency score : ,in This represents the function that takes the maximum value. For ideal time, The smaller the value, the higher the score; Based on the feedback adjustment of the VSWR in step S30, the number of local maxima in the VSWR sequence during this stage is analyzed. Smooth scoring during calculation : The less oscillation, the higher the score; Based on the average value of VSWR after stabilization Calculate steady-state mass fraction : If and only if Valid for a period of time; The final comprehensive performance score is calculated by weighting and combining the three scores mentioned above. The formula is: .

[0045] Secondly, the key information from this impedance matching is packaged into a data packet. This data packet contains treatment status information at the stable point, matching network parameters at the stable point, comprehensive efficacy score, and current timestamp. The data packet is stored in the historical matching database and updated according to the following rules: If the performance score of the new data packet is higher than that of the old data packet, the corresponding parameter in the old data packet is replaced with the stable matching parameter in the new data packet, and the performance score and timestamp are updated; if the performance score of the new data packet is lower than that of the old data packet, the old data packet is retained, but its weight is reduced according to the time decay factor, and the new data packet is stored as an additional reference without overwriting the main record in the original data.

[0046] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application. In some cases, the actions or steps described in this application can be performed in a different order than that shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment, characterized in that, The method includes: Step S10: Generate current treatment status information based on the physical signals collected by the sensor array integrated on the treatment electrode of the shortwave diathermy device. Step S20: Based on the treatment status information, the initial impedance matching parameters of the current shortwave therapy device are determined by utilizing the correlation between the historical treatment status information and the historical optimal impedance matching parameters in the historical matching database, and the impedance matching network of the shortwave therapy device is pre-set. Step S30: During the process of the ultra-shortwave therapy device outputting therapeutic energy, the standing wave ratio of the therapy device's energy output system is detected, and the impedance matching network state preset in step S20 is used as the starting point for adjustment. A phased variable step size strategy is adopted to adjust the impedance matching network in feedback so that the standing wave ratio reaches and stabilizes within the preset range. Step S40: After the standing wave ratio stabilizes, associate the current treatment status information with the corresponding stable impedance matching parameters, and update the historical matching database based on the effectiveness evaluation of this impedance matching process.

2. The impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment as described in claim 1, characterized in that, The treatment status information includes the treatment site identifier identified by physical signal analysis, and the contact quality evaluation parameters between the electrode and the skin tissue calculated based on the physical signals.

3. The impedance matching method for an ultra-shortwave therapy device based on standing wave ratio adjustment as described in claim 1 or 2, characterized in that, Step S10 includes the following detailed steps: Step S101: Acquire the raw signals output by the pressure sensor array and the capacitive sensing array; Step S102: Convert the original signal into a pressure distribution image and a capacitance distribution image; Step S103: Extract features from the pressure distribution image and capacitance distribution image to obtain treatment site identifiers; wherein, the feature extraction is accomplished by pattern matching between the features of the current distribution image and the features of pre-stored standard distribution images of different body parts. Step S104: Calculate statistical characteristic values ​​reflecting contact uniformity from the pressure distribution image and capacitance distribution image, and use them as the contact quality evaluation parameters. These parameters are obtained by weighted fusion of the pressure uniformity index and the capacitance consistency index.

4. The impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment as described in claim 1, characterized in that, In step S20, determining the current initial impedance matching parameters of the ultra-shortwave therapy device includes the following detailed steps: Step S201: Calculate the matching degree between the treatment site identifier in the current treatment status information and the historical treatment site identifier recorded in the historical matching database; Step S202: Filter out one or more historical records with a matching degree higher than the first preset threshold; Step S203: Based on the historical best impedance matching parameters, historical matching efficacy scores, and the matching degree between the record and the current treatment status information associated with each selected historical record, a weighted calculation is performed to obtain an initial parameter baseline value. Step S204: Based on the contact quality evaluation parameters in the current treatment status information, the initial parameter benchmark value is corrected to obtain the final initial impedance matching parameters; when the contact quality evaluation parameters are lower than the preset standard, the correction direction is to make the parameters biased towards the matching area with a value less than the preset reflection intensity value.

5. The impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment as described in claim 4, characterized in that, In step S203, the historical matching performance score is a comprehensive evaluation score derived from the adjustment time, total adjustment steps, and steady-state standing wave ratio required for the matching process corresponding to the historical record to reach stability; in the weighted calculation, the record with the higher the historical matching performance score has a larger corresponding weight coefficient.

6. The impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment as described in claim 4, characterized in that, If no historical records with a matching degree higher than the first preset threshold are found, but historical records with a matching degree higher than the second preset threshold exist, a pre-trained prediction model is used. The model takes the current treatment status information and the set of historical records with a matching degree higher than the second preset threshold as input and directly predicts and outputs the initial impedance matching parameters. The first preset threshold is greater than the second preset threshold.

7. The impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment as described in claim 1, characterized in that, In step S30, the phased variable step size strategy includes: Step S301: In the first stage, the impedance matching network of the ultra-shortwave therapy device is adjusted with a first set step size to reduce the standing wave ratio of the energy output system. Step S302: When the VSWR is detected to drop to the first stage threshold, the second stage is entered, and the second set step size, which is smaller than the first set step size, is used for fine adjustment until the VSWR is stable within the preset range. Step S303: If, in the second stage, the VSWR does not show a convergence trend within multiple consecutive adjustment cycles or does not enter the preset range within a preset time, it is determined to be an adjustment abnormality, triggering step S304. Step S304: After an adjustment anomaly occurs, generate a graded operation prompt based on the values ​​of the contact quality evaluation parameters: If the value is lower than the preset threshold, a prompt will be made to check whether the electrodes of the shortwave diathermy device have fallen off; otherwise, a prompt will be made to adjust the position of the electrodes of the shortwave diathermy device to improve the uniformity of contact; at the same time, the impedance matching network will be reset to the safe parameter point and the impedance matching process will be restarted.

8. The impedance matching method for an ultra-shortwave therapy device based on standing wave ratio adjustment as described in claim 7, characterized in that, If a step increase in the standing wave ratio is detected in real time, the energy output is reduced and the reacquisition of treatment status information is automatically triggered. Based on the reacquisitioned information, it is determined whether the treatment electrode has been accidentally moved or the contact state between the treatment electrode and the skin tissue has changed, and it is decided whether to start the process again from step S20.

9. The impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment as described in claim 1, characterized in that, In step S40, the updated historical matching database includes: Step S401: Calculate the performance score of this impedance matching. The scoring criteria include the time efficiency score required from the completion of the preset to the VSWR stabilization score, the smoothness score of the adjustment process, and the quality score of the VSWR steady state. Step S402: Package the current treatment status information, stable matching parameters, efficacy score, and timestamp in this impedance matching into a data package; Step S403: Store the data packet in the matching database. If there is a historical data packet in the matching database that has a similarity to the current treatment status information that exceeds a preset update threshold, compare the effectiveness scores of the two data packets, and update the original data according to the score value and time, and form a new reference record.

10. The impedance matching method for a shortwave diathermy device based on standing wave ratio adjustment as described in claim 1, characterized in that, The process of updating the original data according to the preset rules means that: if the performance score of the new data packet is higher than that of the old data packet, the corresponding parameters in the old data packet are replaced with the stable matching parameters in the new data packet, and the performance score and timestamp are updated; if the performance score of the new data packet is lower than that of the old data packet, the old data packet is retained, but its weight is reduced according to the time decay factor, and the new data packet is stored as an additional reference without overwriting the main records in the original data.

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