Multifunctional ultrasonic scalpel

Abstract

The invention relates to the technical field of ultrasonic scalpel equipment, and discloses a multifunctional ultrasonic scalpel which comprises a piezoelectric transducer, an amplitude-change pole, a frequency generation module, a working scalpel head, a detection part and a control part, and further comprises the detection part which is configured to obtain tissue information of a to-be-dissected area, and the tissue information comprises tissue load information and tissue impedance information; the control part is electrically connected with the detection part, the amplitude-change pole, the frequency generation module and the piezoelectric transducer, and the control part is configured to determine the preset output amplitude of the amplitude-change pole according to the tissue information and determine the electric signal frequency of the frequency generation module according to the output amplitude. By acquiring tissue load and impedance information in real time, the output amplitude of the amplitude-change pole and the electric signal frequency of the frequency generation module are intelligently adjusted, dynamic adaptability and accurate control over energy output of the ultrasonic scalpel are achieved, and operation efficiency and safety are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ultrasonic knife devices, in particular to a multifunctional ultrasonic dissector. BACKGROUND

[0002] In surgical operations, ultrasonic dissectors are widely used in precise operations in high-risk areas such as liver, gallbladder, pancreas, thyroid, nerves and blood vessels due to their functions of high-frequency vibration cutting, thermal effect coagulation and tissue separation. Traditional ultrasonic dissectors mainly rely on piezoelectric transducers to convert electrical energy into mechanical vibration, and transmit vibration energy to the working blade through the amplitude transformer to realize mechanical damage and thermal effect intervention to the tissue, which has the advantages of high efficiency, small trauma and fast recovery.

[0003] However, in the prior art, the output parameters (such as amplitude and frequency) of the ultrasonic dissector are usually fixed values or manually preset, and cannot be dynamically adjusted in real time according to the physical properties of different tissue types (such as fat, muscle, blood vessels, etc.). When the tissue structure of the dissected area is complex or the state changes, fixed parameters may cause poor cutting, excessive tissue heating or excessive thermal diffusion, thereby increasing the risk of tissue damage, affecting the precision and safety during the operation, and limiting the adaptability and intelligent level of the ultrasonic dissector in fine surgery.

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

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

[0006] The present application provides a multifunctional ultrasonic dissector, comprising: a piezoelectric transducer, an amplitude transformer, a frequency generation module, a working blade, a detection part and a control part, further comprising: a detection part configured to obtain tissue information of a region to be dissected, wherein the tissue information includes tissue load information and tissue impedance information; a control part electrically connected with the detection part, the amplitude transformer, the frequency generation module and the piezoelectric transducer, respectively, the control part is configured to determine a preset output amplitude of the amplitude transformer according to the tissue information, and determine an electrical signal frequency of the frequency generation module according to the output amplitude.

[0007] Further, the detection part comprises:

[0008] An impedance detection module is arranged at a load end of the working tool bit, and the impedance detection module is configured to obtain tissue impedance information of the region to be dissected.

[0009] A load sensing module is arranged at a tail end of the working tool bit, and the load sensing module is configured to obtain tissue load information of the region to be dissected.

[0010] A temperature monitoring module is configured to obtain temperature information of the region to be dissected.

[0011] Further, the control unit comprises:

[0012] A collection module is electrically connected with the impedance detection module, the load sensing module and the temperature monitoring module, and the collection module is configured to obtain the tissue impedance information, the tissue load information and the temperature information of the region to be dissected.

[0013] An analysis module is electrically connected with the piezoelectric transducer, the amplitude transformer and the collection module, and the analysis module is configured to determine a preset output amplitude of the amplitude transformer according to the tissue impedance information and the tissue load information, and to determine a preset output amplitude of the piezoelectric transducer according to the preset output amplitude of the amplitude transformer, and to determine a preset frequency of the electric signal of the frequency generation module according to the preset output amplitude.

[0014] A control module is electrically connected with the frequency generation module and the analysis module, and the control module is configured to control the frequency of the electric signal output by the frequency generation module according to the preset frequency of the electric signal.

[0015] Further, when the analysis module determines the preset output amplitude of the amplitude transformer according to the tissue impedance information and the tissue load information, the analysis module comprises:

[0016] The analysis module is further configured to substitute the impedance information into an amplitude mapping model previously established by the analysis module, and to obtain an initial output amplitude of the amplitude transformer.

[0017] The analysis module is further configured to obtain a ratio of index data between the tissue load information and historical tissue load information of adjacent time periods, and to determine an adjustment coefficient according to the ratio of index data.

[0018] The analysis module is further 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 of the amplitude transformer.

[0019] Further, when the analysis module previously establishes the amplitude mapping model, the analysis module comprises:

[0020] The analysis module is further configured to train a data set according to a plurality of tissue impedance samples and corresponding target amplitude samples.

[0021] The analysis module is further configured to take the tissue impedance samples in the training data set as input, take the corresponding target amplitude samples as supervision labels, train the neural network model, and establish an amplitude mapping model according to the training result.

[0022] Further, when the analysis module obtains the index data ratio between the tissue load information and the historical adjacent period tissue load information, and determines the adjustment coefficient according to the index data ratio, the method comprises the following steps of:

[0023] 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 configured by the analysis module, and determine the adjustment coefficient when it is determined that the initial output amplitude needs to be adjusted.

[0024] When each index data ratio is lower than the preset ratio threshold, the analysis module determines not to adjust the initial output amplitude.

[0025] 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.

[0026] Further, 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 of:

[0027] The analysis module is further configured to obtain a ratio difference value between each index data ratio and the preset ratio threshold corresponding to each index data ratio.

[0028] The analysis module is further configured to perform normalization processing according to each ratio difference value, and obtain a difference value between each index data ratio and the preset ratio threshold corresponding to each index data ratio according to each ratio difference value after the normalization processing.

[0029] The analysis module is further configured to determine the adjustment coefficient according to the relationship between the difference value and a first preset difference value and a second preset difference value configured by 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] The first preset difference value is less than the second preset difference value, and 1

[0034] Further, the analysis module is further configured to determine the preset output amplitude of the piezoelectric transducer when the preset output amplitude of the amplitude transformer is determined, comprising:

[0035] The analysis module is further configured to obtain an amplitude adjustment ratio range of the amplitude transformer, and determine an output amplitude range of the amplitude transformer after amplitude adjustment according to a relationship between the current output amplitude of the piezoelectric transducer and the amplitude adjustment ratio range;

[0036] The analysis module is further configured to obtain an amplitude mean value between the output amplitude ranges;

[0037] The analysis module is further configured to obtain an amplitude difference value between the amplitude mean value and the preset output amplitude of the amplitude transformer, and determine the preset output amplitude of the piezoelectric transducer according to a relationship between the amplitude difference value and a preset amplitude difference value configured by the analysis module:

[0038] When the amplitude difference value is less than or equal to the preset amplitude difference value, the analysis module determines that the current output amplitude of the piezoelectric transducer is the preset output amplitude of the piezoelectric transducer;

[0039] When the amplitude difference value is greater than the preset amplitude difference value, the analysis module determines a correction coefficient according to a 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.

[0040] Further, when the correction coefficient is determined according to the relationship between the amplitude difference value and the preset amplitude difference value, comprising:

[0041] The analysis module is further configured to obtain an amplitude difference value ratio between the amplitude difference value and the preset amplitude difference value, and determine a correction amplitude of the correction coefficient according to a relationship between the amplitude difference value ratio and a first preset amplitude difference value ratio and a second preset amplitude difference value ratio configured by the analysis module:

[0042] When the amplitude difference value ratio is less than the first preset amplitude difference value ratio, the analysis module determines that the correction amplitude of the correction coefficient is K1;

[0043] When the amplitude difference value ratio is greater than or equal to the first preset amplitude difference value ratio and less than the second preset amplitude difference value ratio, the analysis module determines that the correction amplitude of the correction coefficient is K2

[0044] When the amplitude difference value ratio is greater than or equal to the second preset amplitude difference value ratio, the analysis module determines that the correction amplitude of the correction coefficient is K3;

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

[0046] Further, the analysis module determines the preset electric signal frequency of the frequency generating module according to the preset output amplitude.

[0047] The analysis module is further configured to obtain a conversion ratio between the piezoelectric transducer and the frequency generating module.

[0048] 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.

[0049] Compared with the prior art, the beneficial effects of the present application are that by setting the detection part to obtain the tissue information of the region to be dissected in real time, including the tissue load information and the tissue impedance information, the device can perceive the physical state of different tissues during the dissection process. Compared with the traditional device relying on fixed parameters or manual adjustment, this scheme realizes dynamic perception of the tissue state, improves the environmental adaptability and operation intelligence level of the device. Further, the control part automatically adjusts the output amplitude of the amplitude lever according to the detected tissue information, and determines the driving frequency of the frequency generating module based on the amplitude, so that the entire ultrasonic energy transmission chain from frequency generation, mechanical amplification to the tissue action end has a coordinated adjustment capability. This coordinated control mechanism can realize precise control of the cutting energy and tissue matching according to the impedance characteristics and load changes of different tissues, thereby improving the cutting efficiency, reducing thermal damage, and reducing the risk of intraoperative bleeding or adhesion. Further, it realizes adaptive adjustment and closed-loop control of the energy output of the ultrasonic dissector, effectively improves the safety, tissue protection capability and operation precision during the operation process, and is particularly suitable for fine operation scenes with complex structure and variable tissue types, and has significant clinical application value. BRIEF DESCRIPTION OF DRAWINGS

[0050] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not intended to limit the scope of the application. Moreover, the same reference numerals are used throughout the same figures. In the drawings:

[0051] Figure 1 A functional block diagram of a multifunctional ultrasonic dissector according to an embodiment of the present application is provided.

[0052] Figure 2 A flowchart of a multifunctional ultrasonic dissector according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[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] It can be understood that the detection part is composed of a plurality of sensing modules, including an impedance detection module arranged at the load end of the working tool head, a load sensing module arranged at the tail end, and a temperature sensing module for temperature monitoring. The impedance detection module can obtain the electrical impedance change of the contact area between the tool head and the tissue during dissection, reflecting the properties of tissue density, water content, etc.; the load sensing module collects the stress state of the tool head and senses the tissue reaction force to judge the current tissue cutting resistance; the temperature monitoring module is used to monitor the temperature rise of the operation area to prevent thermal damage caused by excessive energy concentration. The collected multi-source tissue information is transmitted to the collection module in the control part for unified collection and standardized processing. The analysis module of the control part analyzes the current impedance and load data based on the preset tissue response model or neural network model, calculates the optimal amplitude value matching the current tissue characteristics, and drives the amplitude lever to output the required mechanical vibration intensity. At the same time, the analysis module further deduces the target output amplitude of the piezoelectric transducer, and determines the driving frequency accordingly, to ensure that the entire energy transmission chain (frequency → vibration → tool head) is highly coordinated and efficient. On this basis, the control module serves as the execution control core, adjusts the output signal of the frequency generating module in real time according to the preset frequency value provided by the analysis module, so that the piezoelectric transducer obtains the most suitable driving electric signal for the tissue state. This closed-loop structure enables the system to have the ability of "perception-judgment-response", and can automatically adjust the energy output parameters according to the tissue structure and state changes, dynamically adapting to the dissection requirements.

[0058] As can be seen, by integrating the technology links of tissue information perception, intelligent parameter analysis and energy path linkage control, a complete technical closed loop is formed, which not only significantly improves the dissection accuracy and tissue protection capability, but also provides higher adaptability and intelligent operation basis for ultrasonic surgery in complex tissue environment.

[0059] Specifically, when the analysis module determines the preset output amplitude of the amplitude lever according to the tissue impedance information and the tissue load information, 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 lever; the analysis module is further configured to obtain the index data ratio between the tissue load information and the historical adjacent period tissue load information, 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 lever when outputting.

[0060] Specifically, when the analysis module pre-establishes the amplitude mapping model, the analysis module is further configured to train the neural network model according to a training data set of a plurality of tissue impedance samples and corresponding target amplitude samples, and establish the amplitude mapping model according to a training result.

[0061] Specifically, when the analysis module obtains the index data ratio between the tissue load information and the historical adjacent period tissue load information, and determines the adjustment coefficient according to the index data ratio, the analysis module is further configured to determine whether to adjust the initial output amplitude according to a relationship between each index data ratio and a preset ratio threshold 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 a relationship between each index data ratio and the preset ratio threshold corresponding to each index data ratio.

[0062] Specifically, 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 analysis module is further configured to obtain a 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 a difference value between each index data ratio and the preset ratio threshold corresponding to each index data ratio according to each ratio difference after the normalization processing; the analysis module is further configured to determine the adjustment coefficient according to a relationship between the difference value and first and second preset difference values 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

[0063] It can be understood that the analysis module pre-constructs a training data set based on a large number of tissue impedance samples and their corresponding ideal output amplitude samples, and inputs the data set into the neural network model for supervised training. During the training process, the tissue impedance is used as the input feature, and the target amplitude is used as the supervision label. After training, a set of amplitude mapping models that can reflect the nonlinear correspondence between impedance and amplitude is obtained. The model is solidified in the analysis module as a reference benchmark for subsequent real-time calculation. 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 condition. This amplitude value can theoretically meet the energy demand under normal impedance, but in a dynamic surgical environment, the tissue state often changes dramatically over time, and a single impedance value may not be enough to reflect the real response of the tissue to the tool head energy. Therefore, the analysis module introduces a "tissue load ratio adjustment" mechanism, that is, by obtaining the current tissue load information and its historical adjacent period load data, multiple index data ratios are calculated 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 according to the relationship between these ratios and the preset ratio threshold. If any ratio exceeds the threshold, it indicates that the tissue state has changed dramatically, and the amplitude adjustment operation needs to be performed. Further, to achieve the refinement of the adjustment, the analysis module also normalizes the difference between the ratio and the corresponding threshold to calculate the difference value. According to the comparison result of the difference value and the two-level preset difference interval, the analysis module determines the adjustment coefficient L1, L2 or L3, and accordingly proportionally amplifies the initial amplitude to form the final preset output amplitude. The preset value is sent to the amplitude rod as a control signal, realizing dynamic energy output matching the tissue state.

[0064] It can be seen that by fusing deep learning modeling and multi-dimensional threshold judgment logic, the analysis module can integrate tissue impedance and load change characteristics to output ultrasonic energy control parameters that are more suitable for real-time surgical scenarios. This technical principle significantly improves the adaptability and operation safety of the dissecting knife to complex tissue structures, and embodies the deep integration of intelligent perception and adaptive control in surgical energy equipment.

[0065] Specifically, when the preset output amplitude of the horn is determined, the analysis module is further configured to obtain an amplitude adjustment ratio range of the horn, and determine an output amplitude range of the horn after amplitude adjustment according to a relationship between the current output amplitude of the piezoelectric transducer and the amplitude adjustment ratio range; the analysis module is further configured to obtain an amplitude mean value between the output amplitude range; the analysis module is further configured to obtain an amplitude difference value between the amplitude mean value and the preset output amplitude of the horn, and determine the preset output amplitude of the piezoelectric transducer according to a relationship between the amplitude difference value and a 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 a 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.

[0066] Specifically, when the correction coefficient is determined according to the relationship between the amplitude difference value and the preset amplitude difference value, the analysis module is further configured to obtain an amplitude difference value ratio between the amplitude difference value and the preset amplitude difference value, and determine a correction amplitude of the correction coefficient according to a relationship between the amplitude difference value ratio and a first preset amplitude difference value ratio and a second preset amplitude difference value ratio configured by the analysis module; when the amplitude difference value ratio is lower than the first preset amplitude difference value 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 the correction amplitude of the correction coefficient as K2; when the amplitude difference value ratio is higher than or equal to the second preset amplitude difference value ratio, the analysis module determines the correction amplitude of the correction coefficient as K3; wherein the first preset amplitude difference value ratio is lower than the second preset amplitude difference value ratio, and K1

[0067] It can be understood that the analysis module obtains an amplitude adjustment ratio range matched with the amplitude horn, which reflects the amplification capability or tolerance interval of the amplitude horn to the 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 horn under the current energy input condition, and calculates the amplitude mean value of the range as the intermediate value that the amplitude horn should reach in the theoretical expected state. Then, the analysis module calculates the amplitude difference value between the amplitude mean value and the preset output amplitude of the amplitude horn previously determined, which reflects the deviation degree between the current actual output capability of the system and the target amplitude. If the amplitude difference value is lower than or equal to the preset difference threshold value, it means that the output of the current piezoelectric transducer is in a reasonable range and does not need to be adjusted, and it is directly taken as the preset output amplitude; otherwise, there is a deviation in the system and fine correction is needed. To further control the adjustment range, the analysis module calculates the amplitude difference value ratio, i.e. the ratio of the amplitude difference value to the preset difference threshold value, and combines the first and second preset amplitude difference value ratios to determine the adjustment range of the correction coefficient in stages. When the difference value ratio is low, only slight correction (K1) is needed; when it is in the middle interval, moderate correction (K2) is needed; and when the difference value ratio is large, strong correction (K3) is needed. According to the determined correction coefficient, the current output amplitude of the piezoelectric transducer is corrected to determine its new preset output amplitude.

[0068] It can be seen that through the "range-difference-ratio" three-stage calculation path, fine regulation of the output amplitude of the piezoelectric transducer is realized, so that its output capability can match the demand of the amplitude horn in real time, thereby ensuring that the entire ultrasonic knife system has stable, efficient and intelligent energy response capability in a variable tissue environment, and significantly improving the safety and precision of anatomical operation.

[0069] Specifically, when the analysis module determines the preset electric signal frequency of the frequency generating module according to the preset output amplitude, the analysis module is further configured to obtain a conversion ratio between the piezoelectric transducer and the frequency generating module; and 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.

[0070] It can be understood that, after the analysis module determines the preset output amplitude of the piezoelectric transducer, in order to realize intelligent control of the driving frequency, the target electric signal frequency of the frequency generating module needs to be further calculated. To this end, the analysis module pre-acquires the conversion ratio parameter between the piezoelectric transducer and the frequency generating module, which is determined by factors such as material characteristics, 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 above conversion ratio model, and calculates the preset electric signal frequency of the frequency generating module corresponding to the amplitude through a simple linear or nonlinear mapping formula. The frequency will serve as a target signal for driving the frequency generator to generate a high-frequency electric signal that meets the transducer resonance condition, thereby realizing efficient electro-acoustic energy conversion. Through this "amplitude→frequency" parameter linkage mode, the amplitude can be dynamically adjusted according to the change of the tissue characteristics, and at the same time, the driving frequency is adjusted synchronously, thereby constructing a complete closed-loop control path from tissue response→amplitude control→frequency output, and effectively improving the stability, adaptability and safety of the ultrasonic knife in complex surgical environment.

[0071] In the preferred embodiments of some embodiments of the present application, a multifunctional ultrasonic dissecting knife is provided, which, in actual working process: the impedance detection module is used to acquire the electrical impedance of the current tissue region in real time, reflecting the density and water content thereof; the load sensing module is used to acquire the stress condition of the knife head, judging the cutting resistance of the tissue; and the temperature monitoring module is used to monitor the temperature rise of the tissue surface, preventing thermal damage.

[0072] Based on the information collected by the collecting module, the analysis module is used for processing. An amplitude mapping model based on neural network training is pre-established in the analysis module. By inputting the tissue impedance information, the corresponding initial output amplitude can be calculated.

[0073] To further enhance the adaptability of adjustment, the analysis module also introduces a "load change ratio adjustment mechanism". That is: by comparing the current load information with the adjacent period historical load information, a plurality of index data ratios are calculated; it is judged whether these ratios exceed the preset threshold, if they exceed, it means that the organization state mutates; the analysis module further determines the adjustment coefficient L1, L2 or L3 according to the difference value between each ratio and the threshold; finally, the initial output amplitude is proportionally adjusted to form a preset output amplitude for driving the amplitude lever. Then, the analysis module calculates the preset output amplitude required by the piezoelectric transducer according to the preset output amplitude, combined with the amplitude lever characteristics and the current system state. This calculation includes: obtaining the amplitude adjustment range of the amplitude lever; determining the mean value of the amplitude in this range, and subtracting the preset amplitude; according to the ratio of the difference value and the set difference value threshold, the correction coefficient K1, K2 or K3 is calculated; finally, the output amplitude of the piezoelectric transducer is corrected to ensure consistency with the amplitude lever. Finally, to ensure that the transducer is in a resonant state, the analysis module calculates the corresponding preset electric signal frequency according to 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, the ultrasonic dissector can dynamically adjust the output amplitude and driving frequency according to the impedance, load and its change trend of the tissue, realize personalized energy response and closed-loop control, significantly improve the cutting efficiency and tissue protection ability in complex tissue environment, and be suitable for various high-risk and fine surgical scenarios.

[0075] In the above embodiment, the detection part is set to obtain the tissue information of the dissected region in real time, including the tissue load information and the tissue impedance information, so that the device can perceive the physical state of different tissues in the dissection process. Compared with the traditional device relying on fixed parameters or manual adjustment, this scheme realizes dynamic perception of tissue state, improves the environmental adaptability and operation intelligence level of the device. Further, the control part automatically adjusts the output amplitude of the amplitude lever according to the detected tissue information, and determines the driving frequency of the frequency generation module based on the amplitude, so that the entire ultrasonic energy transmission chain from frequency generation, mechanical amplification to the tissue action end has the ability of coordinated adjustment. This coordinated control mechanism can realize precise control of cutting energy and tissue matching according to the impedance characteristics and load change of different tissues, thereby improving the cutting efficiency, reducing the heat damage, and reducing the risk of intraoperative bleeding or adhesion. Further, the ultrasonic dissector realizes adaptive adjustment and closed-loop control of energy output, effectively improves the safety, tissue protection ability and operation precision in the operation process, and is particularly suitable for fine surgical scenarios with complex structure and variable tissue types, and has significant clinical application value.

[0076] Those skilled in the art will appreciate that embodiments of the application can be devised for a method, a system, or a computer program product. Accordingly, the present application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0077] The present application is described in reference to the flowchart and / or block diagrams of the method, apparatus (system) and computer program product according to embodiments of the application. It should be understood that each flow and / or block in the flowchart and / or block diagrams, and a combination of flows and / or blocks in the flowchart 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, a special purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions, which are executed via the processor of the computer or other programmable data processing apparatus, generate a means for implementing the functions specified in the flowchart and / or block diagrams of the flowchart and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for functionally implementing the functions specified in the flowchart and / or block diagrams described above and which are carried out by one or more

[0078] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions means which implement the function specified in the flowchart and / or block diagrams of the flowchart and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for functionally implementing the functions specified in the flowchart and / or block diagrams described above and which are carried out by one or more

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which are executed on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart and / or block diagrams of the flowchart and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for functionally implementing the functions specified in the flowchart and / or block diagrams described above and which are carried out by one or more

[0080] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing the technical solutions of the present application, but not for limiting it. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that the technical solutions of the present application can still be modified or equivalent replaced without departing from the spirit and scope of the present application, and any modification or equivalent replacement should be covered in the protection scope of the claims of the present application.

Claims

1. A multifunctional ultrasonic scalpel, comprising a piezoelectric transducer, an amplitude transformer, a frequency generating module, a working blade, a detection unit, and a control unit, characterized in that, Also includes: The detection unit is configured to acquire tissue information of the area to be dissected, including tissue load information and tissue impedance information. The control unit is electrically connected to the detection unit, the amplitude transformer, the frequency generation module, and the piezoelectric transducer. The control unit is configured to determine the preset output amplitude of the amplitude transformer based on the organizational information, and to determine the electrical signal frequency of the frequency generation module based on the output amplitude.

2. The multifunctional ultrasonic scalpel as described in claim 1, characterized in that, The testing department includes: 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. 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. The temperature monitoring module is configured to acquire temperature information of the area to be dissected.

3. The multifunctional ultrasonic scalpel as described in claim 2, characterized in that, The control unit includes: 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. 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. 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.

4. The multifunctional ultrasonic scalpel as described in claim 3, characterized in that, When the analysis module determines the preset output amplitude of the amplitude transformer based on tissue impedance information and tissue load information, it includes: 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. 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. 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.

5. The multifunctional ultrasonic scalpel as described in claim 4, characterized in that, 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 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.

6. The multifunctional ultrasonic scalpel as described in claim 5, characterized in that, When the analysis module obtains the ratio of organizational load information to organizational load information in adjacent historical periods, and determines the adjustment coefficient based on the ratio, it includes: 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. 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. 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.

7. The multifunctional ultrasonic scalpel as described in claim 6, characterized in that, 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: 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; 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. The analysis module is also configured to determine an adjustment coefficient based on the relationship between the difference value and a first preset difference value and a second preset difference value configured in 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; Among them, the first preset difference value is less than the second preset difference value, and 1 < L1 < L2 < L3.

8. The multifunctional ultrasonic scalpel as described in claim 7, characterized in that, 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: 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. The analysis module is also configured to acquire the average amplitude across the range of output amplitudes; 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. 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. 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.

9. The multifunctional ultrasonic scalpel as described in claim 8, characterized in that, When determining the correction coefficient based on the relationship between the amplitude difference and the preset amplitude difference, the following should be included: 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. 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. Among them, the first preset amplitude difference ratio is less than the second preset amplitude difference ratio, and K1 < K2 < K3.

10. The multifunctional ultrasonic scalpel as described in claim 9, characterized in that, When the analysis module determines the preset electrical signal frequency of the frequency generation module based on the preset output amplitude, it includes: The analysis module is also configured to obtain the conversion ratio between the piezoelectric transducer and the frequency generation module; 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.

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