An electric stapler pressure adaptive control communication system and communication device

Abstract

The present invention relates to the technical field of electric stapler pressure control, and in particular to an electric stapler pressure adaptive control communication system and communication device, which can improve surgical effects, reduce complication risks, and improve work efficiency and patient satisfaction; the system comprises an operating room control terminal, a central processing unit, an electric stapler controller and a pressure adaptive control module; the operating room control terminal sends wound size characteristics and wound tissue location characteristics to the central processing unit; the central processing unit converts the wound size characteristics and wound tissue location characteristics into data formats, and inputs the converted data information into a pre-constructed stapler pressure matching model to obtain an initial pressure setting value, and sends it to the electric stapler controller via a CAN bus; based on a sensor integrated on the electric stapler controller, the system collects wound tissue hardness and thickness characteristics in real time, and transmits them to the central processing unit.

Description

Technical Field

[0001] The present invention relates to the technical field of electric stapler pressure control, and in particular to an electric stapler pressure adaptive control communication system and a communication device. Background Art

[0002] In modern surgery, electric staplers, as a key surgical instrument, are widely used in gastrointestinal, pulmonary, cardiac and other types of open or minimally invasive surgeries. The main function of the stapler is to precisely suture the remaining healthy tissue together after removing the diseased tissue to promote healing and maintain the normal function of the organ. However, changes in tissue type, thickness and hardness greatly affect the quality and effect of the anastomosis process. Improper pressure settings may cause tissue damage, anastomosis line leakage or other complications, thereby affecting the success rate of the operation and patient recovery.

[0003] Traditional electric stapler pressure control and communication systems often use fixed pressure settings. For softer intestinal tissue, excessively high pressure may cause tissue damage or even perforation; while for harder lung or heart tissue, lower pressure may not ensure good sealing and stability. Therefore, traditional stapler pressure control and communication systems have obvious limitations when dealing with tissues of different locations and properties. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an electric stapler pressure adaptive control communication system and communication device which can improve surgical effects, reduce the risk of complications, and improve work efficiency and patient satisfaction.

[0005] In a first aspect, the present invention provides a pressure adaptive control communication system for an electric stapler, the communication system comprising an operating room control terminal, a central processing unit, an electric stapler controller, and a pressure adaptive control module;

[0006] The operating room control terminal sends the wound size characteristics and wound tissue location characteristics to the central processing unit;

[0007] The central processing unit converts the wound size characteristics and wound tissue location characteristics into data formats, and inputs the converted data information into a pre-built stapler pressure matching model to obtain an initial pressure setting value, and sends it to the electric stapler controller via the CAN bus;

[0008] The sensor integrated on the electric stapler controller collects the hardness and thickness characteristics of the wound tissue in real time and transmits them to the central processing unit;

[0009] The central processing unit fuses the real-time collected wound tissue hardness and thickness characteristics into a feature vector, and inputs it into the anastomotic pressure impact assessment model to obtain the anastomotic pressure adjustment factor;

[0010] The central processing unit calculates the actual pressure parameter based on the anastomotic pressure adjustment factor and the initial pressure setting value, and sends it to the pressure adaptive control module via the CAN bus;

[0011] The electric stapler controller is integrated with a communication confirmation unit and a communication synchronization unit; the pressure adaptive control module is integrated with a communication request monitoring unit and a communication synchronization unlocking unit;

[0012] During the communication process, the pressure adaptive control module sends a communication request signal to the electric stapler controller through the communication request monitoring unit; after receiving the request, the communication confirmation unit responds and sends a confirmation receipt signal;

[0013] In response to the communication request monitoring unit receiving the confirmation receipt signal, the communication synchronization unlocking unit sends a synchronization unlocking signal for performing communication synchronization confirmation with the communication synchronization unit;

[0014] In response to the communication synchronization unit receiving the synchronization unlocking signal, the communication synchronization unit replies with a synchronization confirmation signal; if the communication synchronization unlocking unit successfully receives the synchronization confirmation signal from the communication synchronization unit after sending the synchronization unlocking signal, the communication link between the electric stapler controller and the pressure adaptive control module is successfully established;

[0015] After the communication link is successfully established, the pressure adaptive control module transmits the calculated actual pressure parameters to the electric stapler controller through the CAN bus to achieve pressure adjustment.

[0016] Furthermore, the central processing unit calculates the actual pressure parameter, including:

[0017] Based on the surgical plan, the wound size characteristics and wound tissue location characteristics are obtained;

[0018] Inputting wound size characteristics and wound tissue location characteristics into a pre-built stapler pressure matching model to obtain the initial pressure on the stapler clamp;

[0019] The hardness characteristics and thickness characteristics of wound tissue are acquired in real time, and the data of the hardness characteristics and thickness characteristics of wound tissue are fused to obtain the wound anastomosis influence characteristic vector;

[0020] Inputting the wound anastomosis influence feature vector into the pre-built anastomosis pressure influence evaluation model to obtain the anastomosis pressure adjustment factor;

[0021] According to the anastomotic pressure adjustment factor and the initial pressure on the stapler clamp, the actual pressure parameter of the electric stapler for the operation is calculated;

[0022] According to the actual pressure parameters of the electric stapler, the electric stapler is controlled to press the wound.

[0023] Furthermore, the calculation formula of the actual pressure parameter of the electric stapler is:

[0024] P actual = P initial + F adjust × P initial

[0025] in, P initial Indicates the initial pressure on the stapler clamp. F adjust represents the anastomotic pressure regulation factor, P actual Indicates the actual pressure parameters of the electric stapler.

[0026] Furthermore, the method for obtaining wound size characteristics includes:

[0027] Through preoperative CT scans, magnetic resonance imaging, and ultrasound examinations, the surgical area was reconstructed in three dimensions and the size of the wound was measured;

[0028] Based on preoperative imaging data, surgical simulation is performed to plan the size, position and surgical path of the wound in advance and obtain accurate dimensional characteristics.

[0029] Furthermore, the method for identifying wound tissue site characteristics includes:

[0030] Based on knowledge of the anatomy of the surgical site, identify tissue types;

[0031] Based on the patient's specific condition, evaluate the tissue status of the surgical area and predict tissue changes;

[0032] Perform pathological analysis to confirm tissue type and characteristics;

[0033] By analyzing preoperative imaging data, tissue type and location are automatically identified to obtain wound tissue site characteristics.

[0034] Furthermore, the method for constructing the anastomotic pressure impact assessment model includes:

[0035] Data were collected from historical surgical cases, including tissue stiffness, tissue thickness, surgical site, wound size, pressure settings used, and surgical outcomes;

[0036] Clean the collected data, remove outliers, and fill and delete missing data;

[0037] Selecting a machine learning model as the model's infrastructure, the machine learning model including linear regression, support vector machine, random forest, and neural network;

[0038] Divide the dataset into training, validation and test sets;

[0039] Use the training set data to train the model and iteratively optimize the loss function to learn the mapping relationship between features and pressure regulation factors;

[0040] Evaluate model performance on the validation set and adjust model parameters and structure based on the validation results;

[0041] Evaluate the model on an independent test set to get the performance of the model on unknown data;

[0042] Embed the trained model into the electric stapler control communication system.

[0043] Furthermore, the method of controlling the electric stapler to press the wound includes:

[0044] Verify the actual pressure parameters;

[0045] If the actual pressure parameter verification is passed, the electric stapler is activated, otherwise an alarm is issued and the operation is suspended;

[0046] During the pressing process, the electric stapler accurately controls the closing force of the jaws according to the actual pressure parameters;

[0047] While the jaws are closed and appropriate pressure is applied, suture is performed;

[0048] During the entire compression and suturing process, the electric stapler continuously monitors the wound condition and collects relevant data through sensors;

[0049] When the suturing operation is completed, the electric stapler automatically releases the jaws and sends a completion signal; the operator checks the suturing effect.

[0050] On the other hand, the present application also provides an electric stapler pressure adaptive control communication device, the communication device adopts an electric stapler pressure adaptive control communication system, and the communication device includes:

[0051] The wound feature acquisition module acquires the wound size features and wound tissue location features based on the surgical plan;

[0052] A pressure matching module inputs wound size characteristics and wound tissue location characteristics into a pre-built stapler pressure matching model to obtain an initial pressure on the stapler clamp;

[0053] Real-time tissue characteristic monitoring module, which obtains the characteristics of wound tissue hardness and thickness in real time;

[0054] The feature fusion and vector generation module fuses the wound tissue hardness feature and wound tissue thickness feature to obtain the wound anastomosis influence feature vector;

[0055] A pressure impact assessment module inputs the wound anastomosis impact feature vector into a pre-built anastomosis pressure impact assessment model to obtain an anastomosis pressure adjustment factor;

[0056] The actual pressure calculation module calculates the actual pressure parameters of the electric stapler for the operation according to the anastomosis pressure adjustment factor and the initial pressure on the stapler clamp;

[0057] The electric stapler control module controls the electric stapler to press the wound according to the actual pressure parameters of the electric stapler.

[0058] At the same time, the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in any one of the above-mentioned communication systems are implemented.

[0059] Compared with the prior art, the present invention has the following beneficial effects: the present invention can dynamically adjust the pressure setting according to the wound size characteristics, tissue location characteristics and real-time collected tissue hardness and thickness characteristics, and can perform personalized pressure adjustment according to the different conditions of each patient, thereby improving the success rate of the operation; the system integrates sensors to monitor the state of the wound tissue in real time, and performs data analysis through the central processing unit to adjust the pressure parameters in time, which helps to avoid tissue damage or anastomosis failure caused by improper pressure; by applying appropriate pressure to different types of tissues, the system can effectively reduce the occurrence of complications such as tissue damage and anastomosis line leakage, improve the safety of the operation and the quality of postoperative recovery of the patient; the automated and intelligent pressure control reduces the dependence on the operator's experience, making the operation process smoother, shortening the operation time, and also reducing the doctor's work intensity; through the interaction between the communication request monitoring unit, the communication confirmation unit, the communication synchronization unlocking unit and the communication synchronization unit, the reliability of the communication link between the electric stapler controller and the pressure adaptive control module is ensured, and the stable operation of the system is guaranteed; by using the stapler pressure matching model and the anastomosis pressure impact evaluation model, the system can make the best pressure setting according to historical data and current conditions, and support doctors to make more scientific decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a schematic diagram of the composition structure of the pressure adaptive control communication system of the electric stapler of the present invention;

[0061] Figure 2 It is a flow chart of the central processing unit calculating the actual pressure parameters;

[0062] Figure 3 It is a structural diagram of a pressure adaptive control communication device for an electric stapler. DETAILED DESCRIPTION

[0063] The present application is described below in conjunction with the drawings in the present application.

[0064] Embodiment 1: Figure 1 As shown, the electric stapler pressure adaptive control communication system of the present invention includes an operating room control terminal, a central processing unit, an electric stapler controller and a pressure adaptive control module, and the implementation process is as follows:

[0065] The operating room control terminal sends the wound size characteristics and wound tissue location characteristics to the central processing unit;

[0066] The central processing unit converts the wound size characteristics and wound tissue location characteristics into data formats, and inputs the converted data information into a pre-built stapler pressure matching model to obtain an initial pressure setting value, and sends it to the electric stapler controller via the CAN bus;

[0067] The sensor integrated on the electric stapler controller collects the hardness and thickness characteristics of the wound tissue in real time and transmits them to the central processing unit;

[0068] The central processing unit fuses the real-time collected wound tissue hardness and thickness characteristics into a feature vector, and inputs it into the anastomotic pressure impact assessment model to obtain the anastomotic pressure adjustment factor;

[0069] The central processing unit calculates the actual pressure parameter based on the anastomotic pressure adjustment factor and the initial pressure setting value, and sends it to the pressure adaptive control module via the CAN bus;

[0070] The electric stapler controller is integrated with a communication confirmation unit and a communication synchronization unit; the pressure adaptive control module is integrated with a communication request monitoring unit and a communication synchronization unlocking unit;

[0071] During the communication process, the pressure adaptive control module sends a communication request signal to the electric stapler controller through the communication request monitoring unit; after receiving the request, the communication confirmation unit responds and sends a confirmation receipt signal;

[0072] In response to the communication request monitoring unit receiving the confirmation receipt signal, the communication synchronization unlocking unit sends a synchronization unlocking signal for performing communication synchronization confirmation with the communication synchronization unit;

[0073] In response to the communication synchronization unit receiving the synchronization unlocking signal, the communication synchronization unit replies with a synchronization confirmation signal; if the communication synchronization unlocking unit successfully receives the synchronization confirmation signal from the communication synchronization unit after sending the synchronization unlocking signal, the communication link between the electric stapler controller and the pressure adaptive control module is successfully established;

[0074] After the communication link is successfully established, the pressure adaptive control module transmits the calculated actual pressure parameters to the electric stapler controller through the CAN bus to achieve pressure adjustment.

[0075] Specifically, the surgeon inputs the wound size and tissue location information through the operating room control terminal; the central processing unit calculates the preliminary pressure setting value through the pre-trained model based on the input information; real-time monitoring: the sensors on the electric stapler controller continuously monitor the hardness and thickness of the tissue; the central processing unit combines the real-time data with the preliminary setting to generate a feature vector; the adjustment factor is calculated through the pressure impact assessment model, and the actual pressure parameters are updated; through the communication confirmation step, it is ensured that the pressure adaptive control module correctly receives the updated pressure parameters; the pressure adaptive control module adjusts the pressure of the electric stapler according to the latest parameters to adapt to the current tissue state; through the integration of sensors, real-time data processing and advanced communication mechanisms, adaptive control of the electric stapler pressure is achieved, significantly improving the accuracy and safety of the operation.

[0076] More specifically, Figure 2 As shown, the method for the central processing unit to calculate the actual pressure parameter specifically includes the following steps:

[0077] S1. Based on the surgical plan, obtain the wound size characteristics and wound tissue location characteristics;

[0078] Methods for obtaining wound size characteristics include:

[0079] Through preoperative CT scans, magnetic resonance imaging and ultrasound examinations, the surgical area can be reconstructed in three dimensions and the wound dimensions, including length, width, depth and shape, can be accurately measured;

[0080] During the operation, a high-definition endoscope is used to directly observe and measure the actual size of the wound surface; real-time imaging data can help doctors adjust the use strategy of the stapler more accurately;

[0081] Based on preoperative imaging data, computer-aided design software is used to simulate surgery and plan the size, location and surgical path of the incision in advance to obtain accurate dimensional characteristics;

[0082] Methods for identifying wound tissue site characteristics include:

[0083] The surgeon uses the anatomical knowledge of the surgical site to identify the tissue type and understand the general characteristics and mechanical behavior of the tissue in that area;

[0084] In the case discussion before surgery, the tissue status of the surgical area is evaluated based on the patient's specific situation and the tissue changes that may be encountered are predicted;

[0085] Perform tissue biopsy and conduct rapid pathological analysis to confirm tissue type and characteristics;

[0086] Using AI technology, by analyzing preoperative imaging data, tissue type and location can be automatically identified to provide the surgical team with instant and accurate information.

[0087] In this step, through preoperative high-precision imaging examination and intraoperative real-time imaging guidance, it is possible to ensure that the wound size data obtained is highly accurate, making the pressure setting of the stapler more personalized and accurate, reducing complications such as tissue damage and anastomosis failure caused by improper pressure; combined with detailed preoperative surgical planning, case discussion and AI-assisted diagnosis, surgeons can have an in-depth understanding and accurate prediction of tissue types and characteristics before surgery; surgical simulation using computer-aided design software can not only plan the surgical path in advance, but also effectively shorten the surgical preparation time and operation time, and improve the turnover efficiency of the operating room; by comprehensively considering the individual differences of patients, tissue characteristics and surgical needs, it has achieved a transition from "one-size-fits-all" to personalized and refined treatment, improving treatment effects and patient satisfaction; preoperative multidisciplinary discussions and instant sharing of AI-assisted information have promoted effective communication among surgical team members, ensuring that surgical decisions are based on the most comprehensive and accurate information, and improving the level of team collaboration and the quality of surgical decisions; step S1 has laid a solid foundation for the precise pressure control of electric staplers through the comprehensive application of modern medical imaging technology, artificial intelligence, preoperative planning and teamwork.

[0088] S2, inputting wound size characteristics and wound tissue location characteristics into a pre-built stapler pressure matching model to obtain an initial pressure on the stapler clamp;

[0089] The stapler pressure matching model can predict the appropriate stapler pressure according to the wound characteristics. It contains a series of rules and parameters for matching and calculating the input wound characteristics with the preset pressure values. The stapler pressure matching model considers the physiological structure, mechanical properties and wound size of different tissue parts on the anastomotic pressure.

[0090] The structure of the stapler pressure matching model includes:

[0091] Input layer: used for receiving data, including wound size features and wound tissue location features; these features need to be properly preprocessed and encoded so that the neural network can understand and process them; for classification features, use the embedding layer for processing; for numerical features, perform normalization or standardization operations;

[0092] Hidden layer: used to learn and extract complex relationships in input data; the hidden layer consists of multiple neurons, each of which receives the output of the neurons in the previous layer as input and generates output through activation functions; the number of hidden layers and the number of neurons in each layer can be adjusted according to the complexity of the problem and the scale of the data; in the stapler pressure matching model, the design of the hidden layer needs to take into account the interaction and influence between the wound size characteristics and the wound tissue location characteristics; through the combination of multiple layers of neurons and activation functions, the model can learn the nonlinear relationship between these characteristics and produce accurate prediction results;

[0093] Output layer: used to receive the output of the hidden layer and generate the final prediction result; in the stapler pressure matching model, the output layer has only one neuron, which outputs the predicted initial pressure value on the stapler clamp.

[0094] In this step, the model can provide personalized pressure setting suggestions based on the specific characteristics of each surgical case, thereby improving the pertinence and accuracy of the surgery. The hidden layer design of the neural network allows the model to capture the complex nonlinear relationship between input features, thereby improving the accuracy of the prediction. Through learning from a large amount of training data, the model can continuously optimize its internal parameters, making the prediction results closer to the actual situation, reducing the subjectivity and potential errors of human experience judgment. As the model receives more types of surgical cases and data, its adaptability and generalization capabilities are improved, and it can better serve the diverse surgical needs and changing clinical practices. The application of this model helps to standardize the surgical preparation process, and surgeons can rely on the model's recommendations to quickly set the stapler pressure, reduce preoperative preparation time, and optimize the use of operating room resources. Personalized and accurate initial pressure settings help reduce surgical complications, directly promoting the success rate of the operation and the quality of the patient's postoperative recovery. The stapler pressure matching model in step S2 improves the scientificity and safety of surgery through highly customized pressure predictions.

[0095] S3, real-time acquisition of wound tissue hardness characteristics and wound tissue thickness characteristics, and data fusion of the wound tissue hardness characteristics and wound tissue thickness characteristics to obtain a wound anastomosis influence feature vector;

[0096] A high-sensitivity pressure sensor is built into the jaws of the electric stapler. When the jaws touch and gently press the tissue, the sensor can detect the back pressure of the tissue in real time, indirectly reflecting the hardness of the tissue.

[0097] The time difference and waveform change of ultrasonic reflected waves are used to evaluate tissue hardness. The ultrasonic probe is integrated into the jaw structure, which transmits ultrasonic waves and receives reflected waves. The echo signal is analyzed to determine tissue density and hardness.

[0098] A capacitive sensor is embedded in the jaw design. When tissue is located between the two electrodes, the capacitance value will change. The thickness of the tissue can be calculated by comparing the capacitance value change with the preset calibration curve.

[0099] Through machine learning algorithms, the real-time tissue hardness and thickness data are fused and combined into a wound anastomosis impact feature vector; the wound anastomosis impact feature vector can comprehensively reflect the current tissue state of the wound and provide a comprehensive indicator for subsequent pressure regulation.

[0100] In this step, the tissue hardness and thickness are monitored in real time, so that the stapler can dynamically adjust the pressure according to the actual tissue characteristics, avoiding problems such as tissue damage or loose anastomosis that may be caused by traditional fixed pressure settings, and significantly improving the safety and success rate of the operation; the tissue characteristics of different patients and different surgical sites vary greatly. Step S3 can ensure that the stapler can make adaptive adjustments when facing different tissue types and conditions, meet personalized surgical needs, and improve the treatment effect; by directly acquiring data during the operation through integrated sensors, the preoperative preparation time is reduced, allowing doctors to make decisions quickly and speed up the operation process while maintaining high-quality treatment standards; the anastomotic pressure is accurately controlled to avoid the adverse effects of excessive or low pressure on the tissue, which is beneficial to the patient's postoperative recovery; the data fusion technology combined with the machine learning algorithm not only improves the efficiency and accuracy of data processing, but also lays a technical foundation for future intelligent surgical systems and promotes the progress and innovation of surgical technology; Step S3 realizes the instant and accurate evaluation of tissue status through highly integrated sensing technology and intelligent data processing, providing the key input for adaptive pressure control of the electric stapler.

[0101] S4, inputting the wound anastomosis influence feature vector into a pre-built anastomosis pressure influence evaluation model to obtain an anastomosis pressure adjustment factor;

[0102] The anastomotic pressure impact assessment model can accurately predict the optimal pressure required by the stapler under different tissue characteristics;

[0103] The input of the model is the wound anastomosis influence feature vector, which contains the real-time acquired wound tissue hardness and thickness features;

[0104] The output of the model is the anastomotic pressure adjustment factor, which is used to indicate to what extent the initial pressure needs to be adjusted;

[0105] The method for constructing the anastomotic pressure impact assessment model comprises:

[0106] Collect a large amount of data from past surgical cases, including tissue hardness, tissue thickness, surgical site, wound size, pressure settings used, and surgical outcomes;

[0107] Clean the collected data, remove outliers, and fill or delete missing data;

[0108] Selecting a machine learning model as the model's infrastructure, the machine learning model including linear regression, support vector machine, random forest, and neural network;

[0109] The dataset is divided into training set, validation set and test set with a ratio of 70%, 15% and 15% to ensure the effectiveness and generalization ability of the model.

[0110] Use the training set data to train the model and iteratively optimize the loss function to learn the mapping relationship between features and pressure regulation factors;

[0111] Evaluate model performance on the validation set and adjust model parameters and structure based on the validation results to prevent overfitting;

[0112] Evaluate the model on an independent test set to get the performance of the model on unknown data;

[0113] The trained model is embedded into the electric stapler control communication system to ensure that the model can respond in real time during actual surgery.

[0114] In this step, the most suitable anastomotic pressure adjustment factor can be dynamically predicted based on specific characteristics such as tissue hardness and thickness monitored in real time during the operation, thereby achieving personalized pressure control for different patients and different surgical sites, reducing surgical complications, and improving the success rate of the operation; through precise anastomotic pressure adjustment, it not only avoids damage caused by excessive pressure on soft tissues, but also ensures sufficient anastomosis of hard tissues, improves the stability of the operation and the quality of healing, and accelerates the patient's postoperative recovery; the real-time response capability of the model ensures that even if tissue conditions change during the operation, the pressure setting can be adjusted immediately, enhancing the surgeon's operational flexibility and the reliability of the surgical process; by reducing surgical complications and improving the success rate of a single operation, it helps to reduce postoperative care costs and reduce the need for repeated operations, thereby making more efficient use of medical resources; by reducing surgical risks and improving surgical results, it ultimately improves the overall quality of medical services and enhances patients' satisfaction and trust in the results of the operation.

[0115] S5. Calculate the actual pressure parameter of the electric stapler for the operation according to the anastomosis pressure adjustment factor and the initial pressure on the stapler clamp;

[0116] Obtaining initial pressure, reading the initial pressure value on the stapler clamp, the initial pressure value on the stapler clamp is calculated based on the surgical plan and wound tissue location characteristics through a pre-built stapler pressure matching model;

[0117] Confirming the anastomotic pressure adjustment factor, which is calculated based on the real-time acquired wound tissue hardness and thickness characteristics through a pre-built anastomotic pressure impact assessment model and is used to adjust the initial pressure value;

[0118] The actual pressure parameter is calculated by combining the initial pressure on the stapler clamp and the anastomotic pressure adjustment factor;

[0119] The calculation formula of the actual pressure parameter of the electric stapler is:

[0120] P actual = P initial + F adjust × P initial

[0121] in, P initial Indicates the initial pressure on the stapler clamp. F adjust represents the anastomotic pressure regulation factor, P actual Indicates the actual pressure parameter of the electric stapler;

[0122] After calculating the actual pressure parameter, verify it to ensure it is within a safe and effective range; set a threshold for the pressure range based on clinical experience, equipment limitations or safety standards; if the calculated actual pressure parameter exceeds this range, the adjustment factor needs to be readjusted;

[0123] Finally, the verified actual pressure parameter of the electric stapler is output to control the electric stapler to press the wound; this parameter will directly affect the quality and effect of the anastomosis process, so its accuracy and reliability need to be ensured.

[0124] This step can dynamically calculate the most suitable pressure parameters according to the specific circumstances of each surgical case; it goes beyond the traditional fixed pressure mode, reduces the risk of tissue damage caused by improper pressure, and improves the safety of the operation; by accurately matching the actual needs of the surgical wound, adaptive pressure control can more effectively promote tissue healing, reduce complications such as anastomosis line leakage, and directly improve the success rate of the operation and the quality of patient recovery; real-time calculation and adjustment of pressure parameters ensures the efficiency and accuracy of the anastomosis process, reduces the operation time, and also reduces the reliance on the surgeon to manually adjust the pressure, improving the overall efficiency of the operation; setting the pressure range threshold and verifying it to ensure the actual The pressure applied meets the needs of the operation without exceeding the tolerance limit of the tissue, thus enhancing the patient safety during the operation. The adaptive pressure control strategy integrates modern sensing technology and intelligent algorithms, which is a reflection of the intelligent and precise development of surgical instruments, promotes the progress of medical technology, and provides technical support for the automation and remote operation of future surgical operations. By reducing surgical complications, it is not only conducive to faster recovery of patients, but also reduces the burden of follow-up care, and indirectly optimizes the allocation and utilization of medical resources. The adaptive pressure control of the electric stapler achieved by the S5 step is an important step towards safer, more efficient and personalized surgical treatment.

[0125] S6, controlling the electric stapler to press the wound according to the actual pressure parameter of the electric stapler;

[0126] The method of controlling the electric stapler to press the wound includes:

[0127] Verify the calculated actual pressure parameters to ensure that they are within the effective working range of the electric stapler and meet the safety requirements of the operation. If the parameters are out of range or there are safety hazards, the system will sound an alarm and suspend the operation, waiting for further processing by the operator;

[0128] Once the parameters are verified, the electric stapler will be activated; the operator can start the stapler's pressing operation through the control panel or remote control system;

[0129] During the suturing process, the electric stapler accurately controls the closing force of the jaws according to the actual pressure parameters; through the built-in sensors and control system, the stapler can monitor and adjust the jaw pressure in real time to ensure that the pressure applied during the suturing process is always consistent with the preset actual pressure parameters;

[0130] As the jaws close and appropriate pressure is applied, the suturing mechanism inside the stapler begins to work;

[0131] During the entire process of pressing and suturing, the electric stapler continuously monitors the wound condition and collects relevant data through sensors to evaluate the effect of suturing and provide feedback or adjustment suggestions when necessary;

[0132] When the suturing operation is completed, the electric stapler automatically releases the jaws and sends a completion signal; the operator checks the suturing effect and confirms whether the wound has been sutured accurately and firmly.

[0133] Through strict parameter verification and safety alarm mechanism, the pressure parameters used are ensured to be both effective and safe, which prevents complications such as tissue damage and anastomosis line leakage caused by improper pressure, and significantly reduces the risk of surgery. The precise control and dynamic adjustment capabilities of actual pressure parameters enable the stapler to apply pressure stably and accurately during surgery, ensuring that each suture can achieve the best tissue apposition and healing effect, thereby improving the success rate of surgery. Operators can easily start and monitor the anastomosis process through the control panel or remote system, reducing the complexity and time consumption of manual operation and speeding up the surgical process. Continuous monitoring and data collection of wound conditions during the compression process provide immediate information for surgical results. Feedback enables the electric stapler to make timely adjustments based on actual conditions, enhancing the flexibility and adaptability of the surgical process; precise suturing technology reduces damage to surrounding healthy tissues, helps reduce postoperative pain, shortens recovery time and reduces the risk of infection, and improves the patient's quality of life after surgery; full data recording not only facilitates the immediate evaluation of surgical results, but also provides valuable information for subsequent medical quality control, surgical technology improvements and clinical research, and promotes the continuous advancement of surgical technology; the control method of the S6 step integrates advanced technology and intelligent management, which not only ensures the high-quality completion of the operation, but also brings substantial improvements to patient safety, surgical efficiency and postoperative recovery.

[0134] Embodiment 2: Figure 3 As shown, an electric stapler pressure adaptive control communication device of the present invention specifically includes the following modules;

[0135] The wound feature acquisition module acquires the wound size features and wound tissue location features based on the surgical plan;

[0136] A pressure matching module inputs wound size characteristics and wound tissue location characteristics into a pre-built stapler pressure matching model to obtain an initial pressure on the stapler clamp;

[0137] Real-time tissue characteristic monitoring module, which obtains the characteristics of wound tissue hardness and thickness in real time;

[0138] The feature fusion and vector generation module fuses the wound tissue hardness feature and wound tissue thickness feature to obtain the wound anastomosis influence feature vector;

[0139] A pressure impact assessment module inputs the wound anastomosis impact feature vector into a pre-built anastomosis pressure impact assessment model to obtain an anastomosis pressure adjustment factor;

[0140] The actual pressure calculation module calculates the actual pressure parameters of the electric stapler for the operation according to the anastomosis pressure adjustment factor and the initial pressure on the stapler clamp;

[0141] The electric stapler control module controls the electric stapler to press the wound according to the actual pressure parameters of the electric stapler.

[0142] The device pre-sets the initial pressure according to the specific wound size and tissue location in the surgical plan through the wound feature acquisition module and the pressure matching module, providing a personalized starting point for different types of surgeries and avoiding a "one-size-fits-all" fixed pressure strategy; the real-time tissue characteristic monitoring module can continuously monitor tissue hardness and thickness, and combined with the feature fusion and vector generation module, it can respond to tissue changes in real time to ensure the dynamic and adaptable nature of pressure control. The pressure impact assessment module calculates the pressure adjustment factor according to the real-time changes in tissue characteristics, and the actual pressure calculation module finely adjusts the anastomosis pressure accordingly, significantly reducing the risk of complications such as tissue damage and anastomosis line leakage caused by improper pressure, and improving the safety and success rate of the operation; through a highly customized pressure control strategy, it ensures that each anastomosis is appropriate and effective, which helps promote tissue healing, maintain organ function, and accelerate the patient's postoperative recovery process; the device can flexibly respond to the needs of different surgical sites and different tissue hardness such as the gastrointestinal tract, lungs, and heart, improves the versatility and surgical application range of the electric stapler, reduces the need for surgical instrument replacement, and improves surgical efficiency; in summary, the device not only solves the limitations of traditional pressure control methods, but also significantly improves the quality and safety of surgical operations through technological innovation.

[0143] The various variations and specific embodiments of the electric stapler pressure adaptive control communication system in the aforementioned embodiment 1 are also applicable to the electric stapler pressure adaptive control communication device in this embodiment. Through the aforementioned detailed description of the electric stapler pressure adaptive control communication system, those skilled in the art can clearly understand the implementation method of the electric stapler pressure adaptive control communication device in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0144] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0145] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An adaptive pressure control communication system for an electric stapler, It is characterized in that It includes an operating room control terminal, a central processing unit, an electric stapler controller, and a pressure adaptive control module; The operating room control terminal sends the wound size characteristics and wound tissue location characteristics to the central processing unit; The central processing unit converts the wound size characteristics and wound tissue location characteristics into data formats, and inputs the converted data information into a pre-built stapler pressure matching model to obtain an initial pressure setting value, and sends it to the electric stapler controller via the CAN bus; The sensor integrated on the electric stapler controller collects the hardness and thickness characteristics of the wound tissue in real time and transmits them to the central processing unit; The central processing unit fuses the real-time collected wound tissue hardness and thickness characteristics into a feature vector, and inputs it into the anastomotic pressure impact assessment model to obtain the anastomotic pressure adjustment factor; The central processing unit calculates the actual pressure parameter based on the anastomotic pressure adjustment factor and the initial pressure setting value, and sends it to the pressure adaptive control module via the CAN bus; The electric stapler controller is integrated with a communication confirmation unit and a communication synchronization unit; the pressure adaptive control module is integrated with a communication request monitoring unit and a communication synchronization unlocking unit; During the communication process, the pressure adaptive control module sends a communication request signal to the electric stapler controller through the communication request monitoring unit; after receiving the request, the communication confirmation unit responds and sends a confirmation receipt signal; In response to the communication request monitoring unit receiving the confirmation receipt signal, the communication synchronization unlocking unit sends a synchronization unlocking signal for performing communication synchronization confirmation with the communication synchronization unit; In response to the communication synchronization unit receiving the synchronization unlocking signal, the communication synchronization unit replies with a synchronization confirmation signal; if the communication synchronization unlocking unit successfully receives the synchronization confirmation signal from the communication synchronization unit after sending the synchronization unlocking signal, the communication link between the electric stapler controller and the pressure adaptive control module is successfully established; After the communication link is successfully established, the pressure adaptive control module transmits the calculated actual pressure parameters to the electric stapler controller via the CAN bus to achieve pressure adjustment; The central processing unit calculates the actual pressure parameters, including: Based on the surgical plan, the wound size characteristics and wound tissue location characteristics are obtained; Inputting wound size characteristics and wound tissue location characteristics into a pre-built stapler pressure matching model to obtain the initial pressure on the stapler clamp; The hardness characteristics and thickness characteristics of wound tissue are acquired in real time, and the data of the hardness characteristics and thickness characteristics of wound tissue are fused to obtain the wound anastomosis influence characteristic vector; Inputting the wound anastomosis influence feature vector into the pre-built anastomosis pressure influence evaluation model to obtain the anastomosis pressure adjustment factor; According to the anastomotic pressure adjustment factor and the initial pressure on the stapler clamp, the actual pressure parameter of the electric stapler for the operation is calculated; According to the actual pressure parameters of the electric stapler, the electric stapler is controlled to press the wound; The calculation formula of the actual pressure parameter of the electric stapler is: P actual = P initial + F adjust × P initial in, P initial Indicates the initial pressure on the stapler clamp. F adjust represents the anastomotic pressure adjustment factor, P actual Indicates the actual pressure parameters of the electric stapler.

2. The pressure adaptive control communication system for an electric stapler according to claim 1, It is characterized in that Methods for obtaining wound size characteristics include: Through preoperative CT scans, magnetic resonance imaging, and ultrasound examinations, the surgical area was reconstructed in three dimensions and the size of the wound was measured; Based on preoperative imaging data, surgical simulation is performed to plan the size, position and surgical path of the wound in advance and obtain accurate dimensional characteristics.

3. The pressure adaptive control communication system for an electric stapler according to claim 1, It is characterized in that Methods for identifying wound tissue site characteristics include: Based on knowledge of the anatomy of the surgical site, identify tissue types; Based on the patient's specific condition, evaluate the tissue status of the surgical area and predict tissue changes; Perform pathological analysis to confirm tissue type and characteristics; By analyzing preoperative imaging data, tissue type and location are automatically identified to obtain wound tissue site characteristics.

4. The pressure adaptive control communication system for an electric stapler according to claim 1, It is characterized in that The method for constructing the anastomotic pressure impact assessment model comprises: Data were collected from historical surgical cases, including tissue stiffness, tissue thickness, surgical site, wound size, pressure settings used, and surgical outcomes; Clean the collected data, remove outliers, and fill and delete missing data; Selecting a machine learning model as the model's infrastructure, the machine learning model including linear regression, support vector machine, random forest, and neural network; Divide the dataset into training, validation and test sets; Use the training set data to train the model and iteratively optimize the loss function to learn the mapping relationship between features and pressure regulation factors; Evaluate model performance on the validation set and adjust model parameters and structure based on the validation results; Evaluate the model on an independent test set to get the performance of the model on unknown data; Embed the trained model into the electric stapler control communication system.

5. The pressure adaptive control communication system for an electric stapler according to claim 1, It is characterized in that The method of controlling the electric stapler to press the wound includes: Verify the actual pressure parameters; If the actual pressure parameter verification is passed, the electric stapler is activated, otherwise an alarm is issued and the operation is suspended; During the pressing process, the electric stapler accurately controls the closing force of the jaws according to the actual pressure parameters; While the jaws are closed and appropriate pressure is applied, suture is performed; During the entire compression and suturing process, the electric stapler continuously monitors the wound condition and collects relevant data through sensors; When the suturing operation is completed, the electric stapler automatically releases the jaws and sends a completion signal; the operator checks the suturing effect.

6. An electric stapler pressure adaptive control communication device, It is characterized in that The communication device adopts the pressure adaptive control communication system of the electric stapler according to claim 1, and the communication device comprises: The wound feature acquisition module acquires the wound size features and wound tissue location features based on the surgical plan; A pressure matching module inputs wound size characteristics and wound tissue location characteristics into a pre-built stapler pressure matching model to obtain an initial pressure on the stapler clamp; Real-time tissue characteristic monitoring module, which obtains the characteristics of wound tissue hardness and thickness in real time; The feature fusion and vector generation module fuses the wound tissue hardness feature and wound tissue thickness feature to obtain the wound anastomosis influence feature vector; A pressure impact assessment module inputs the wound anastomosis impact feature vector into a pre-built anastomosis pressure impact assessment model to obtain an anastomosis pressure adjustment factor; The actual pressure calculation module calculates the actual pressure parameters of the electric stapler for the operation according to the anastomosis pressure adjustment factor and the initial pressure on the stapler clamp; The electric stapler control module controls the electric stapler to press the wound according to the actual pressure parameters of the electric stapler.

7. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the steps in the communication system according to any one of claims 1 to 5 are implemented.

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