Multi-functional ultrasonic scalpel

Abstract

The present application relates to the technical field of ultrasonic knife equipment, and discloses a multifunctional ultrasonic dissecting knife, which comprises a piezoelectric transducer, a variable amplitude rod, a frequency generating module, a working head, a detection part and a control part, and further comprises: the detection part is configured to obtain tissue information of a region to be dissected, wherein the tissue information comprises tissue load information and tissue impedance information; the control part is electrically connected with the detection part, the variable amplitude rod, the frequency generating module and the piezoelectric transducer respectively, and is configured to determine a preset output amplitude of the variable amplitude rod according to the tissue information, and determine an electric signal frequency of the frequency generating module according to the output amplitude. By acquiring the tissue load and impedance information in real time, the output amplitude of the variable amplitude rod and the electric signal frequency of the frequency generating module are intelligently adjusted, the dynamic adaptability and precise control of the energy output of the ultrasonic dissecting knife are realized, and the operation efficiency and safety are improved.

Description

Technical Field

[0001] This invention relates to the field of ultrasonic scalpel equipment technology, and more specifically, to a multifunctional ultrasonic dissecting scalpel. Background Technology

[0002] In surgical procedures, ultrasonic scalpels are widely used for precise operations in high-risk areas such as the liver, gallbladder, pancreas, thyroid, and neurovascular systems due to their multiple functions, including high-frequency vibration cutting, thermal coagulation, and tissue separation. Traditional ultrasonic scalpels primarily rely on piezoelectric transducers to convert electrical energy into mechanical vibration, which is then transmitted to the cutting head via an amplitude transformer to achieve mechanical destruction and thermal intervention of tissues. This approach offers advantages such as high efficiency, minimal trauma, and rapid recovery.

[0003] However, in existing technologies, the output parameters (such as amplitude and frequency) of ultrasonic scalpels are usually fixed values ​​or manually preset, and cannot be dynamically adjusted in real time according to the physical characteristics of different tissue types (such as fat, muscle, blood vessels, etc.). When the tissue structure of the anatomical area is complex or its condition changes, fixed parameters may lead to poor cutting, tissue overheating, or excessive heat diffusion, thereby increasing the risk of tissue damage, affecting intraoperative precision and safety, and limiting the adaptability and intelligence level of ultrasonic scalpels in delicate surgery.

[0004] Therefore, there is an urgent need for an ultrasonic scalpel system that can automatically adjust output parameters based on tissue state information, in order to solve the problem that existing ultrasonic scalpels cannot adjust output parameters in real time according to changes in different tissue types or tissue states, resulting in poor cutting effects and increased risk of tissue damage. Summary of the Invention

[0005] In view of this, the present invention proposes a multifunctional ultrasonic scalpel, which aims to solve the problem that the current ultrasonic scalpel cannot adjust the output parameters in real time according to the changes in different tissue types or tissue states, resulting in poor cutting effect and increased risk of tissue damage.

[0006] This invention proposes a multifunctional ultrasonic scalpel, comprising: a piezoelectric transducer, an amplitude transformer, a frequency generation module, a working blade, a detection unit, and a control unit. It further comprises: a detection unit configured to acquire tissue information of the area to be dissected, wherein the tissue information includes tissue load information and tissue impedance information; and a control unit electrically connected to the detection unit, the amplitude transformer, the frequency generation module, and the piezoelectric transducer, configured to determine a preset output amplitude of the amplitude transformer based on the tissue information, and to determine the electrical signal frequency of the frequency generation module based on the output amplitude.

[0007] Furthermore, the testing department includes:

[0008] An impedance detection module is configured at the load end of the working tip to acquire tissue impedance information of the area to be dissected.

[0009] The load sensing module is located at the tail end of the working head and is configured to acquire tissue load information of the area to be dissected.

[0010] The temperature monitoring module is configured to acquire temperature information of the area to be dissected.

[0011] Furthermore, the control unit includes:

[0012] The acquisition module is electrically connected to the impedance detection module, the load sensing module, and the temperature monitoring module, respectively. The acquisition module is configured to acquire tissue impedance information, tissue load information, and temperature information of the area to be dissected.

[0013] The analysis module is electrically connected to the piezoelectric transducer, the amplitude transformer, and the acquisition module, respectively. The analysis module is configured to determine the preset output amplitude of the amplitude transformer based on tissue impedance information and tissue load information. The analysis module is also configured to determine the preset output amplitude of the piezoelectric transducer based on the preset output amplitude of the amplitude transformer, and to determine the preset electrical signal frequency of the frequency generation module based on the preset output amplitude.

[0014] The control module is electrically connected to both the frequency generation module and the analysis module. The control module is configured to control the output frequency of the electrical signal from the frequency generation module according to a preset electrical signal frequency.

[0015] Furthermore, when the analysis module determines the preset output amplitude of the amplitude transformer based on tissue impedance information and tissue load information, it includes:

[0016] The analysis module is also configured to substitute impedance information into the amplitude mapping model pre-established by the analysis module and obtain the initial output amplitude of the amplitude transformer.

[0017] The analysis module is also configured to obtain the ratio of indicator data between organizational load information and organizational load information in historical adjacent time periods, and determine the adjustment coefficient based on the ratio of indicator data.

[0018] The analysis module is also configured to adjust the initial output amplitude according to the adjustment coefficient, and to determine the adjusted initial output amplitude as the preset output amplitude when the amplitude transformer outputs.

[0019] Furthermore, when analyzing the pre-established amplitude mapping model in the analysis module, it includes:

[0020] The analysis module is also configured to use a training dataset based on several tissue impedance samples and corresponding target amplitude samples.

[0021] The analysis module is also configured to take tissue impedance samples from the training dataset as input, use the corresponding target amplitude samples as supervision labels, train the neural network model, and establish an amplitude mapping model based on the training results.

[0022] Furthermore, when the analysis module obtains the ratio of organizational load information to organizational load information in adjacent historical time periods, and determines the adjustment coefficient based on the ratio of the indicator data, it includes:

[0023] The analysis module is also configured to determine whether to adjust the initial output amplitude based on the relationship between the ratios of each indicator data and the preset ratio thresholds configured in the analysis module, and to determine the adjustment coefficient when it is determined that the initial output amplitude needs to be adjusted.

[0024] When the ratios of all indicators are lower than the preset ratio threshold, the analysis module will determine not to adjust the initial output amplitude.

[0025] When the ratio of any indicator data is higher than or equal to the preset ratio threshold, the analysis module determines to adjust the initial output amplitude and determines the adjustment coefficient based on the relationship between the ratio of each indicator data and the preset ratio threshold corresponding to each indicator data ratio.

[0026] Furthermore, when determining the adjustment coefficient based on the relationship between the ratios of each indicator data and the preset ratio thresholds corresponding to those ratios, the analysis module includes:

[0027] The analysis module is also configured to obtain the ratio difference between the ratio of each indicator data and the preset ratio threshold corresponding to the ratio of each indicator data;

[0028] The analysis module is also configured to perform normalization processing based on the differences between each ratio, and to obtain the difference between each indicator data ratio and the preset ratio threshold corresponding to each indicator data ratio based on the differences between each ratio after normalization processing.

[0029] The analysis module is also configured to determine the adjustment coefficient based on the relationship between the difference value and the first and second preset difference values ​​configured in the analysis module.

[0030] When the difference value is lower than the first preset difference value, the analysis module determines the adjustment coefficient L1;

[0031] When the difference value is higher than or equal to the first preset difference value and lower than the second preset difference value, the analysis module determines the adjustment coefficient L2.

[0032] When the difference value is higher than or equal to the second preset difference value, the analysis module determines the adjustment coefficient L3;

[0033] Among them, the first preset difference value is less than the second preset difference value, and 1 < L1 < L2 < L3.

[0034] Furthermore, the analysis module is also configured to determine the preset output amplitude of the piezoelectric transducer when the preset output amplitude of the amplitude transformer is used, including:

[0035] The analysis module is also configured to obtain the amplitude adjustment ratio range of the amplitude transformer and determine the output amplitude range of the amplitude transformer after amplitude adjustment based on the relationship between the current output amplitude of the piezoelectric transducer and the amplitude change ratio range.

[0036] The analysis module is also configured to acquire the average amplitude across the range of output amplitudes;

[0037] The analysis module is also configured to acquire the amplitude difference between the mean amplitude and the preset output amplitude of the amplitude transformer, and determine the preset output amplitude of the piezoelectric transducer based on the relationship between the amplitude difference and the preset amplitude difference configured in the analysis module.

[0038] When the amplitude difference is lower than or equal to the preset amplitude difference, the analysis module determines the current output amplitude of the piezoelectric transducer, which is the preset output amplitude of the piezoelectric transducer.

[0039] When the amplitude difference is higher than the preset amplitude difference, the analysis module determines the correction coefficient based on the relationship between the amplitude difference and the preset amplitude difference, and then determines the output amplitude of the piezoelectric transducer after correction based on the correction coefficient as the preset output amplitude of the piezoelectric transducer.

[0040] Furthermore, when determining the correction coefficient based on the relationship between the amplitude difference and the preset amplitude difference, the following are included:

[0041] The analysis module is also configured to obtain the amplitude difference ratio between the amplitude difference value and a preset amplitude difference value, and to determine the correction magnitude of the correction coefficient based on the relationship between the amplitude difference ratio and the first preset amplitude difference ratio and the second preset amplitude difference ratio configured by the analysis module.

[0042] When the amplitude difference ratio is lower than the first preset amplitude difference ratio, the analysis module determines the correction magnitude of the correction coefficient to be K1;

[0043] When the amplitude difference ratio is higher than or equal to the first preset amplitude difference ratio, and lower than the second preset amplitude difference ratio, the analysis module determines the correction magnitude of the correction coefficient to be K2.

[0044] When the amplitude difference ratio is higher than or equal to the second preset amplitude difference ratio, the analysis module determines the correction magnitude of the correction coefficient to be K3.

[0045] Among them, the first preset amplitude difference ratio is less than the second preset amplitude difference ratio, and K1 < K2 < K3.

[0046] Furthermore, when the analysis module determines the preset electrical signal frequency of the frequency generation module based on the preset output amplitude, it includes:

[0047] The analysis module is also configured to obtain the conversion ratio between the piezoelectric transducer and the frequency generation module;

[0048] The analysis module is also configured to determine the preset electrical signal frequency of the frequency generation module based on the preset output amplitude and conversion ratio of the piezoelectric transducer.

[0049] Compared with existing technologies, the advantages of this invention are as follows: By setting up a detection unit to acquire tissue information of the area to be dissected in real time, including tissue load information and tissue impedance information, the device can sense the physical state of different tissues during the dissection process. Compared with traditional equipment that relies on fixed parameters or manual adjustment, this solution achieves dynamic perception of tissue state, improving the environmental adaptability and operational intelligence of the equipment. Furthermore, the control unit automatically adjusts the output amplitude of the amplitude transformer based on the detected tissue information, and determines the driving frequency of the frequency generation module based on this amplitude, enabling the entire ultrasonic energy transmission chain to have coordinated adjustment capabilities from frequency generation, mechanical amplification to the tissue action end. This coordinated control mechanism can achieve precise control of cutting energy matching with tissue according to the impedance characteristics and load changes of different tissues, thereby improving cutting efficiency, reducing thermal damage, and reducing the risk of intraoperative bleeding or adhesion. In addition, it realizes adaptive adjustment and closed-loop control of ultrasonic scalpel energy output, effectively improving the safety, tissue protection, and operational precision during surgery, and is particularly suitable for delicate surgical scenarios with complex structures and diverse tissue types, with significant clinical application value. Attached Figure Description

[0050] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0051] Figure 1 A functional block diagram of a multifunctional ultrasonic scalpel provided in an embodiment of the present invention;

[0052] Figure 2 This is a schematic diagram of a multifunctional ultrasonic scalpel provided in an embodiment of the present invention. Detailed Implementation

[0053] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0054] like Figures 1-2 As shown in some embodiments of this application, this embodiment provides a multifunctional ultrasonic scalpel, including: a piezoelectric transducer, an amplitude transformer, a frequency generation module, a working blade, a detection unit, and a control unit. It further includes: a detection unit configured to acquire tissue information of the area to be dissected, wherein the tissue information includes tissue load information and tissue impedance information; and a control unit electrically connected to the detection unit, the amplitude transformer, the frequency generation module, and the piezoelectric transducer, respectively. The control unit is configured to determine a preset output amplitude of the amplitude transformer based on the tissue information, and to determine the electrical signal frequency of the frequency generation module based on the output amplitude.

[0055] Specifically, the detection unit includes: an impedance detection module configured at the load end of the working head, which is configured to acquire tissue impedance information of the area to be dissected; a load sensing module configured at the tail end of the working head, which is configured to acquire tissue load information of the area to be dissected; and a temperature monitoring module configured to acquire temperature information of the area to be dissected.

[0056] Specifically, the control unit includes: an acquisition module electrically connected to the impedance detection module, the load sensing module, and the temperature monitoring module, respectively, and the acquisition module is configured to acquire tissue impedance information, tissue load information, and temperature information of the area to be dissected; an analysis module electrically connected to the piezoelectric transducer, the amplitude transformer, and the acquisition module, respectively, and the analysis module is configured to determine the preset output amplitude of the amplitude transformer based on the tissue impedance information and the tissue load information; the analysis module is also configured to determine the preset output amplitude of the piezoelectric transducer based on the preset output amplitude of the amplitude transformer, and determine the preset electrical signal frequency of the frequency generation module based on the preset output amplitude; and a control module electrically connected to the frequency generation module and the analysis module, respectively, and the control module is configured to control the electrical signal output frequency of the frequency generation module according to the preset electrical signal frequency.

[0057] Understandably, the detection unit consists of multiple sensing modules, including an impedance detection module located at the load end of the cutting head, a load sensing module located at the tail end, and a temperature sensing module for temperature monitoring. The impedance detection module acquires changes in electrical impedance at the tissue contact area during dissection, reflecting properties such as tissue density and water content. The load sensing module collects the force state of the cutting head and senses the tissue reaction force to determine the current tissue's resistance to cutting. The temperature monitoring module monitors the temperature rise in the surgical area to prevent thermal damage caused by excessive energy concentration. The collected multi-source tissue information is transmitted to the acquisition module in the control unit for unified aggregation and standardization. The analysis module in the control unit analyzes the current impedance and load data based on a preset tissue response model or neural network model, calculating the optimal amplitude value matching the current tissue characteristics to drive the required mechanical vibration intensity of the amplitude transformer output. Simultaneously, this analysis module further derives the target output amplitude of the piezoelectric transducer and determines the driving frequency accordingly to ensure high coordination and optimal efficiency throughout the entire energy transfer chain (frequency → vibration → cutting head). Based on this, the control module, as the core of execution control, adjusts the output signal of the frequency generation module in real time according to the preset frequency value provided by the analysis module, so that the piezoelectric transducer obtains the driving electrical signal most suitable for the tissue state. This closed-loop structure enables the system to have the ability of "sensing-judging-responding", and can automatically adjust the energy output parameters according to changes in tissue structure and state, dynamically adapting to the needs of dissection.

[0058] It can be seen that by integrating technologies such as tissue information perception, intelligent parameter analysis and energy path linkage control, a complete technical closed loop has been formed, which not only significantly improves anatomical accuracy and tissue protection capabilities, but also provides a more adaptable and intelligent operational foundation for ultrasound surgery in complex tissue environments.

[0059] Specifically, when the analysis module determines the preset output amplitude of the amplitude transformer based on the tissue impedance information and tissue load information, the following steps are included: the analysis module is further configured to substitute the impedance information into the amplitude mapping model pre-established by the analysis module and obtain the initial output amplitude of the amplitude transformer; the analysis module is further configured to obtain the ratio of index data between the tissue load information and the tissue load information of adjacent historical time periods, and determine the adjustment coefficient based on the index data ratio; the analysis module is further configured to adjust the initial output amplitude according to the adjustment coefficient, and determine the adjusted initial output amplitude as the preset output amplitude when the amplitude transformer outputs.

[0060] Specifically, when analyzing the pre-established amplitude mapping model in the analysis module, the following is included: the analysis module is also configured to use a training dataset based on several tissue impedance samples and corresponding target amplitude samples; the analysis module is also configured to use the tissue impedance samples in the training dataset as input, use the corresponding target amplitude samples as supervision labels, train the neural network model, and establish an amplitude mapping model based on the training results.

[0061] Specifically, when the analysis module obtains the ratio of indicator data between the organizational load information and the organizational load information of adjacent historical time periods, and determines the adjustment coefficient based on the indicator data ratio, the analysis module is further configured to determine whether to adjust the initial output amplitude based on the relationship between each indicator data ratio and a preset ratio threshold configured by the analysis module, and to determine the adjustment coefficient when it is determined that the initial output amplitude needs to be adjusted: when all indicator data ratios are lower than the preset ratio threshold, the analysis module determines not to adjust the initial output amplitude; when any indicator data ratio is higher than or equal to the preset ratio threshold, the analysis module determines to adjust the initial output amplitude, and determines the adjustment coefficient based on the relationship between each indicator data ratio and the preset ratio threshold corresponding to each indicator data ratio.

[0062] Specifically, when the analysis module determines the adjustment coefficient based on the relationship between the ratio of each indicator data and the preset ratio threshold corresponding to each indicator data ratio, the following steps are included: the analysis module is further configured to obtain the ratio difference between the ratio of each indicator data and the preset ratio threshold corresponding to each indicator data ratio; the analysis module is further configured to perform normalization processing on each ratio difference, and obtain the difference value between each indicator data ratio and the preset ratio threshold corresponding to each indicator data ratio based on the normalized ratio difference; the analysis module is further configured to determine the adjustment coefficient based on the relationship between the difference value and the first preset difference value and the second preset difference value configured by the analysis module; when the difference value is lower than the first preset difference value, the analysis module determines the adjustment coefficient L1; when the difference value is higher than or equal to the first preset difference value and lower than the second preset difference value, the analysis module determines the adjustment coefficient L2; when the difference value is higher than or equal to the second preset difference value, the analysis module determines the adjustment coefficient L3; wherein, the first preset difference value is less than the second preset difference value, and 1 < L1 < L2 < L3.

[0063] Understandably, the analysis module pre-constructs a training dataset based on a large number of tissue impedance samples and their corresponding ideal output amplitude samples, and inputs this dataset into the neural network model for supervised training. During training, tissue impedance serves as the input feature, and the target amplitude serves as the supervision label. After training, a set of amplitude mapping models that reflect the nonlinear correspondence between impedance and amplitude is obtained. This model is embedded in the analysis module as a reference benchmark for subsequent real-time calculations. In actual operation, the analysis module receives the current tissue impedance data collected by the impedance detection module and substitutes it into the above mapping model to obtain the initial output amplitude under the current tissue conditions. This amplitude value can theoretically meet the energy requirements under normal impedance, but in a dynamic surgical environment, the tissue state often changes drastically over time, and a single impedance value may not be sufficient to reflect the tissue's true response to the blade energy. To address this, the analysis module introduces a "tissue load ratio adjustment" mechanism, which calculates multiple index data ratios by acquiring the current tissue load information and its historical load data from adjacent time periods to reflect the mechanical response trend of the tissue in a short period of time. The analysis module determines whether the initial output amplitude needs to be corrected based on the relationship between these ratios and a preset ratio threshold. If any ratio exceeds a threshold, it indicates a drastic change in tissue condition, requiring amplitude adjustment. Furthermore, to achieve refined adjustment, the analysis module normalizes the difference between the ratio and the corresponding threshold, calculating a difference value. Based on this difference value and a comparison with two preset difference intervals, the analysis module determines adjustment coefficients L1, L2, or L3, and proportionally amplifies the initial amplitude accordingly, thus forming the final preset output amplitude. This preset value serves as a control signal sent to the amplitude transformer, achieving dynamic energy output that matches the tissue condition.

[0064] It can be seen that by integrating deep learning modeling with multi-dimensional threshold judgment logic, the analysis module can comprehensively consider tissue impedance and load change characteristics, outputting ultrasound energy control parameters that are more consistent with real-time surgical scenarios. This technology significantly improves the scalpel's adaptability to complex tissue structures and operational safety, demonstrating the deep integration of intelligent sensing and adaptive control in surgical energy equipment.

[0065] Specifically, the analysis module is further configured to, when determining the preset output amplitude of the piezoelectric transducer based on the preset output amplitude of the amplitude transformer, include: the analysis module is further configured to acquire the amplitude adjustment ratio range of the amplitude transformer, and, based on the relationship between the current output amplitude of the piezoelectric transducer and the amplitude change ratio range, determine the output amplitude range of the amplitude transformer after amplitude adjustment; the analysis module is further configured to acquire the average amplitude value between the output amplitude ranges; the analysis module is further configured to acquire the amplitude difference between the average amplitude value and the preset output amplitude of the amplitude transformer, and, based on... Based on the relationship between the amplitude difference and the preset amplitude difference configured in the analysis module, the preset output amplitude of the piezoelectric transducer is determined: when the amplitude difference is lower than or equal to the preset amplitude difference, the analysis module determines the current output amplitude of the piezoelectric transducer as the preset output amplitude of the piezoelectric transducer; when the amplitude difference is higher than the preset amplitude difference, the analysis module determines a correction coefficient based on the relationship between the amplitude difference and the preset amplitude difference, and determines the output amplitude of the piezoelectric transducer after correction based on the correction coefficient as the preset output amplitude of the piezoelectric transducer.

[0066] Specifically, when determining the correction coefficient based on the relationship between the amplitude difference and the preset amplitude difference, the analysis module is further configured to obtain the amplitude difference ratio between the amplitude difference and the preset amplitude difference, and determine the correction magnitude of the correction coefficient based on the relationship between the amplitude difference ratio and the first preset amplitude difference ratio and the second preset amplitude difference ratio configured by the analysis module: when the amplitude difference ratio is lower than the first preset amplitude difference ratio, the analysis module determines the correction magnitude of the correction coefficient to be K1; when the amplitude difference ratio is higher than or equal to the first preset amplitude difference ratio and lower than the second preset amplitude difference ratio, the analysis module determines the correction magnitude of the correction coefficient to be K2; when the amplitude difference ratio is higher than or equal to the second preset amplitude difference ratio, the analysis module determines the correction magnitude of the correction coefficient to be K3; wherein, the first preset amplitude difference ratio is less than the second preset amplitude difference ratio, and K1 < K2 < K3.

[0067] Understandably, the analysis module obtains the amplitude adjustment ratio range matching the amplitude transformer, which reflects the amplitude transformer's amplification capability or tolerance range for input vibration. Based on the current actual output amplitude of the piezoelectric transducer and the upper and lower limits of the ratio range, the analysis module determines the output amplitude range of the amplitude transformer under the current energy input conditions and calculates the average amplitude within this range as the intermediate value that the amplitude transformer should reach under the theoretically desired state. Next, the analysis module calculates the amplitude difference between this average amplitude and the previously determined preset output amplitude of the amplitude transformer. This difference reflects the degree of deviation between the system's current actual output capability and the target amplitude. If the amplitude difference is lower than or equal to the preset difference threshold, it indicates that the current output of the piezoelectric transducer is within a reasonable range and no adjustment is needed; it can be directly used as the preset output amplitude. Otherwise, it indicates that there is a deviation in the system, and fine correction is required. To further control the adjustment amplitude, the analysis module calculates the amplitude difference ratio, i.e., the ratio of the amplitude difference to the preset difference threshold, and combines it with the set first and second preset amplitude difference ratios to grade and determine the adjustment amplitude of the correction coefficient. When the difference ratio is low, only slight correction is needed (K1); when it is in the middle range, moderate correction is needed (K2); and when the difference ratio is large, strong correction is needed (K3). Based on the determined correction coefficient, the current output amplitude of the piezoelectric transducer is corrected, and finally its new preset output amplitude is determined.

[0068] It can be seen that by using the three-level calculation path of "range-difference-ratio", the output amplitude of the piezoelectric transducer is precisely controlled, so that its output capability matches the requirements of the amplitude transformer in real time. This ensures that the entire ultrasonic scalpel system has a stable, efficient and intelligent energy response capability in a variable tissue environment, and significantly improves the safety and accuracy of anatomical operations.

[0069] Specifically, when the analysis module determines the preset electrical signal frequency of the frequency generation module based on the preset output amplitude, the analysis module is further configured to obtain the conversion ratio between the piezoelectric transducer and the frequency generation module; the analysis module is further configured to determine the preset electrical signal frequency of the frequency generation module based on the preset output amplitude of the piezoelectric transducer and the conversion ratio.

[0070] Understandably, after the analysis module determines the preset output amplitude of the piezoelectric transducer, the target electrical signal frequency of the frequency generation module needs to be further calculated to achieve intelligent control of the driving frequency. To this end, the analysis module pre-obtains the conversion ratio parameter between the piezoelectric transducer and the frequency generation module. This ratio is determined by factors such as material properties, piezoelectric resonant frequency characteristics, and structural response in the actual system, and has a clear mapping relationship. Subsequently, the analysis module substitutes the preset output amplitude into the aforementioned conversion ratio model and calculates the preset electrical signal frequency of the frequency generation module corresponding to this amplitude using a simple linear or nonlinear mapping formula. This frequency will serve as the target signal to drive the frequency generator to produce a high-frequency electrical signal that satisfies the transducer's resonance condition, thereby achieving efficient electro-acoustic energy conversion. Through this "amplitude → frequency" parameter linkage, the amplitude can be dynamically adjusted according to changes in tissue characteristics, while simultaneously achieving synchronous adjustment of the driving frequency. This constructs a complete closed-loop control path from tissue response → amplitude control → frequency output, effectively improving the stability, adaptability, and safety of the ultrasonic scalpel in complex surgical environments.

[0071] In some preferred embodiments of this application, a multifunctional ultrasonic scalpel is provided that, during actual operation,: the impedance detection module acquires the electrical impedance of the current tissue region in real time, reflecting its density and water content; the load sensing module acquires the force on the scalpel head, judging the tissue's resistance to cutting; and the temperature monitoring module monitors the temperature rise of the tissue surface to prevent thermal damage.

[0072] The information collected by the acquisition module is then sent to the analysis module for processing. The analysis module pre-establishes an amplitude mapping model based on neural network training. This model can calculate the corresponding initial output amplitude by inputting tissue impedance information.

[0073] To further enhance the adaptability of the adjustment, the analysis module also introduces a "load change ratio adjustment mechanism." This involves comparing the current load information with historical load information from adjacent time periods to calculate multiple index ratios; determining whether these ratios exceed preset thresholds; if so, it indicates a sudden change in the organizational state; and further determining adjustment coefficients L1, L2, or L3 based on the differences between each ratio and the thresholds. Finally, the initial output amplitude is proportionally adjusted to form a preset output amplitude for driving the amplitude transformer. Next, based on this preset output amplitude, combined with the amplitude transformer characteristics and the current system state, the analysis module calculates the preset output amplitude required by the piezoelectric transducer. This calculation includes: obtaining the amplitude adjustment ratio range of the amplitude transformer; determining the average amplitude within this range and subtracting it from the preset amplitude; calculating correction coefficients K1, K2, or K3 based on the ratio of the difference to a set difference threshold; and finally correcting the output amplitude of the piezoelectric transducer to ensure consistency with the amplitude transformer. Finally, to ensure that the transducer is in a resonant state, the analysis module calculates the corresponding preset electrical signal frequency based on the conversion ratio between the preset output amplitude and the frequency generation module, and the control module regulates the output signal of the frequency generation module.

[0074] Through the above implementation methods, this ultrasonic scalpel can dynamically adjust the output amplitude and driving frequency according to the impedance, load and its changing trend of the tissue, realize personalized energy response and closed-loop control, significantly improve the cutting efficiency and tissue protection ability in complex tissue environments, and is suitable for a variety of high-risk and delicate surgical scenarios.

[0075] In the above embodiments, by setting up a detection unit to acquire tissue information of the area to be dissected in real time, including tissue load information and tissue impedance information, the device can sense the physical state of different tissues during the dissection process. Compared with traditional devices that rely on fixed parameters or manual adjustments, this solution achieves dynamic perception of tissue state, improving the device's environmental adaptability and operational intelligence. Furthermore, the control unit automatically adjusts the output amplitude of the amplitude transformer based on the detected tissue information, and determines the driving frequency of the frequency generation module based on this amplitude, enabling the entire ultrasonic energy transmission chain to have coordinated adjustment capabilities from frequency generation, mechanical amplification to the tissue action end. This coordinated control mechanism can achieve precise control of cutting energy matching with tissue according to the impedance characteristics and load changes of different tissues, thereby improving cutting efficiency, reducing thermal damage, and reducing the risk of intraoperative bleeding or adhesion. Furthermore, it realizes adaptive adjustment and closed-loop control of ultrasonic scalpel energy output, effectively improving the safety, tissue protection, and operational precision during surgery, and is particularly suitable for delicate surgical scenarios with complex structures and diverse tissue types, with significant clinical application value.

[0076] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0077] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0078] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0079] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A multifunctional ultrasonic scalpel comprising a piezoelectric transducer, a horn, a frequency generating module, a working head, a detection unit and a control unit, characterized in that, Also comprising: a detection unit configured to obtain tissue information of the region to be dissected, wherein the tissue information comprises tissue load information and tissue impedance information; a control unit electrically connected with the detection unit, the amplitude transformer, the frequency generation module and the piezoelectric transducer, and configured to determine a preset output amplitude of the amplitude transformer according to the tissue information, and determine a frequency of the electrical signal of the frequency generation module according to the output amplitude; the detection unit comprises: an impedance detection module arranged at a load end of the working tool bit, and configured to obtain the tissue impedance information of the region to be dissected; a load sensing module arranged at a tail end of the working tool bit, and configured to obtain the tissue load information of the region to be dissected; a temperature monitoring module configured to obtain temperature information of the region to be dissected; the control unit comprises: a collection module electrically connected with the impedance detection module, the load sensing module and the temperature monitoring module, and configured to obtain the tissue impedance information, the tissue load information and the temperature information of the region to be dissected; an analysis module electrically connected with the piezoelectric transducer, the amplitude transformer and the collection module, and configured to determine the preset output amplitude of the amplitude transformer according to the tissue impedance information and the tissue load information, and determine a preset output amplitude of the piezoelectric transducer according to the preset output amplitude of the amplitude transformer, and determine a preset frequency of the electrical signal of the frequency generation module according to the preset output amplitude; a control module electrically connected with the frequency generation module and the analysis module, and configured to control the frequency of the electrical signal output by the frequency generation module according to the preset frequency of the electrical signal; when the analysis module determines the preset output amplitude of the amplitude transformer according to the tissue impedance information and the tissue load information, comprising: the analysis module is further configured to substitute the impedance information into an amplitude mapping model previously established by the analysis module, and obtain an initial output amplitude of the amplitude transformer; the analysis module is further configured to obtain an index data ratio between the tissue load information and the tissue load information of a historical adjacent time period, and determine an adjustment coefficient according to the index data ratio; the analysis module is further configured to adjust the initial output amplitude according to the adjustment coefficient, and determine the adjusted initial output amplitude as the preset output amplitude of the amplitude transformer when outputting.

2. The multi-functional ultrasonic scalpel according to claim 1, wherein when the analysis module previously establishes the amplitude mapping model, comprising: the analysis module is further configured to train a data set according to a plurality of tissue impedance samples and corresponding target amplitude samples; the analysis module is further configured to take the tissue impedance samples in the data set as input, take the corresponding target amplitude samples as supervision labels, train a neural network model, and establish the amplitude mapping model according to the training result.

3. The multi-functional ultrasonic scalpel according to claim 2, wherein when the analysis module obtains an index data ratio between the tissue load information and the tissue load information of a historical adjacent time period, and determines an adjustment coefficient according to the index data ratio, comprising: the analysis module is further configured to determine whether to adjust the initial output amplitude according to the relationship between each index data ratio and a preset ratio threshold value configured by the analysis module, and determine the adjustment coefficient when it is determined that the initial output amplitude needs to be adjusted: When each index data ratio is lower than the preset ratio threshold, the analysis module determines not to adjust the initial output amplitude; When any index data ratio is higher than or equal to the preset ratio threshold, the analysis module determines to adjust the initial output amplitude, and determines the adjustment coefficient according to the relationship between each index data ratio and the preset ratio threshold corresponding to each index data ratio.

4. The multi-functional ultrasonic scalpel according to claim 3, wherein When the analysis module determines the adjustment coefficient according to the relationship between each index data ratio and the preset ratio threshold corresponding to each index data ratio, the method comprises the following steps: The analysis module is further configured to obtain the ratio difference between each index data ratio and the preset ratio threshold corresponding to each index data ratio; The analysis module is further configured to perform normalization processing according to each ratio difference, and obtain the difference value between each index data ratio and the preset ratio threshold corresponding to each index data ratio according to the normalized ratio difference; The analysis module is further configured to determine the adjustment coefficient according to the relationship between the difference value and the first preset difference value and the second preset difference value configured by the analysis module; When the difference value is lower than the first preset difference value, the analysis module determines the adjustment coefficient L1; When the difference value is higher than or equal to the first preset difference value and lower than the second preset difference value, the analysis module determines the adjustment coefficient L2; When the difference value is higher than or equal to the second preset difference value, the analysis module determines the adjustment coefficient L3; Wherein, the first preset difference value is less than the second preset difference value, and 1 5. The multi-functional ultrasonic scalpel according to claim 4, wherein When the analysis module determines the preset output amplitude of the piezoelectric transducer according to the preset output amplitude of the amplitude changing rod, the method comprises the following steps: The analysis module is further configured to obtain the amplitude adjustment proportion range of the amplitude changing rod, and determine the output amplitude range of the amplitude changing rod after amplitude adjustment according to the relationship between the current output amplitude of the piezoelectric transducer and the amplitude change proportion range; The analysis module is further configured to obtain the amplitude mean value between the output amplitude range; The analysis module is further configured to obtain the amplitude difference value between the amplitude mean value and the preset output amplitude of the amplitude changing rod, and determine the preset output amplitude of the piezoelectric transducer according to the relationship between the amplitude difference value and the preset amplitude difference value configured by the analysis module: When the amplitude difference value is lower than or equal to the preset amplitude difference value, the analysis module determines the current output amplitude of the piezoelectric transducer as the preset output amplitude of the piezoelectric transducer; When the amplitude difference value is higher than the preset amplitude difference value, the analysis module determines to determine the correction coefficient according to the relationship between the amplitude difference value and the preset amplitude difference value, and determines the output amplitude of the piezoelectric transducer after correction according to the correction coefficient as the preset output amplitude of the piezoelectric transducer.

6. The multi-functional ultrasonic scalpel according to claim 5, wherein When the analysis module determines the correction coefficient according to the relationship between the amplitude difference value and the preset amplitude difference value, the method comprises the following steps: The analysis module is further configured to obtain the amplitude difference ratio between the amplitude difference value and the preset amplitude difference value, and determine the correction amplitude of the correction coefficient according to the relationship between the amplitude difference ratio and the first preset amplitude difference ratio and the second preset amplitude difference ratio configured by the analysis module: When the amplitude difference ratio is lower than the first preset amplitude difference ratio, the analysis module determines the correction amplitude of the correction coefficient as K1; When the amplitude difference value ratio is higher than or equal to the first preset amplitude difference value ratio and lower than the second preset amplitude difference value ratio, the analysis module determines that the correction range of the correction coefficient is K2 When the amplitude difference value ratio is higher than or equal to the second preset amplitude difference value ratio, the analysis module determines that the correction range of the correction coefficient is K3. Wherein, the first preset amplitude difference value ratio is less than the second preset amplitude difference value ratio, and K1 7. The multi-functional ultrasonic scalpel according to claim 6, wherein When the analysis module determines the preset electric signal frequency of the frequency generating module according to the preset output amplitude, it includes: The analysis module is further configured to obtain a conversion ratio between the piezoelectric transducer and the frequency generating module; The analysis module is further configured to determine the preset electric signal frequency of the frequency generating module according to the preset output amplitude of the piezoelectric transducer and the conversion ratio.

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