Perfusion pressure regulation and control system for hysteroscopic surgery

Abstract

The invention provides a perfusion pressure regulation and control system for hysteroscopic surgery, and relates to the technical field of medical equipment. The system comprises an obtaining module used for obtaining a water poisoning dynamic risk value and an average arterial pressure value of an operation object in real time; the target pressure determination module is used for calling a preset dynamic pressure regulation and control model to carry out calculation processing based on the water poisoning dynamic risk value and the average arterial pressure value, and a target pressure value is determined and obtained; the control module is used for generating a control signal for adjusting the execution device based on the target pressure value; and the adjustment execution device is used for adjusting the perfusion pressure in response to the control signal. By means of the technical scheme, balance and unification between the operation safety and the curative effect can be achieved.

Description

Technical Field

[0001] The present application relates to the technical field of medical equipment, and in particular to a perfusion pressure regulating system for hysteroscopic surgery. Background Art

[0002] In modern gynecological medical practice, hysteroscopy usually requires continuous injection of distending fluid (such as saline) to expand the uterine cavity so that the doctor can observe the endometrium and uterine cavity more clearly. For general hysteroscopy, since the process is short (about 10 to 15 minutes), there are usually no obvious problems. However, in cases where hysteroscopic surgery is required, such as submucosal myomectomy, the entire process may last 40 minutes or even more than an hour. This longer operation time increases the risk of patients absorbing a large amount of distending fluid, which may lead to dilutional hyponatremia, commonly known as water intoxication. Water intoxication not only causes electrolyte imbalance, but can also be life-threatening in severe cases. To avoid this, proper monitoring and management are essential to prevent and treat such problems.

[0003] Based on this, in the existing related technologies, there are related technical implementation schemes for water intoxication risk prediction and early warning, such as the technical scheme involved in the prior patent with publication number CN119480115A and the name "A water intoxication prevention system for hysteroscopic electrosurgical resection". In this technical scheme, the risk value of water intoxication is calculated and evaluated based on the volume of intraoperative distending fluid infusion, the patient's blood oxygen saturation, serum sodium ion level and the current operation time, and an early warning prompt is output according to the risk prediction results, so that medical staff can take preventive measures before the risk reaches the critical point. However, in the process of realizing the present invention, the inventor found that in the current actual operation, such preventive measures still need to be manually implemented by medical staff, which is no different from manually implementing relevant preventive measures after relying on the experience of doctors to make risk judgments. Specific technical means are not used based on the risk prediction results to control the risk of water intoxication. It is easy to have to interrupt the operation during the operation due to the predicted risk being too high, which is not conducive to the balance between surgical safety and efficacy. Summary of the invention

[0004] In order to overcome the problems existing in the related technologies at least to a certain extent, the embodiments of the present application provide a technical implementation that can automatically adjust the perfusion pressure according to the dynamic risk value of water intoxication predicted during hysteroscopic surgery, so as to control the risk of water intoxication during surgery, thereby facilitating the balance between surgical safety and efficacy.

[0005] In some embodiments of the present application, a perfusion pressure control system for hysteroscopic surgery is provided, the perfusion pressure control system comprising: An acquisition module, used for acquiring the dynamic risk value of water intoxication and the mean arterial pressure value of the surgical subject in real time; a target pressure determination module, for invoking a preset dynamic pressure control model to perform calculation processing based on the water intoxication dynamic risk value and the mean arterial pressure value, and determining a target pressure value; A control module, configured to generate a control signal for adjusting an actuator based on the target pressure value; The regulating execution device is used to regulate the perfusion pressure in response to the control signal.

[0006] In a possible implementation, the dynamic pressure control model is based on the following expression: In the expression, represents the target pressure value at time t, represents the average pulsating pressure value at time t, represents the dynamic risk value of water poisoning at time t, represents the influence factor of uterine distension medium, Represents the blood pressure compensation coefficient, which is used to balance the effect of mean arterial pressure on uterine distension pressure. Represents the risk suppression coefficient, which is used to control the sensitivity of the risk value to pressure adjustment.

[0007] In one possible implementation, When the uterine distension medium is normal saline, The value is 0; When the uterine distension medium is 5% glucose solution, The value is +5.

[0008] In one possible implementation, , .

[0009] In a possible implementation, a machine learning module is also included, which is configured to perform , Optimization of parameters.

[0010] In a possible implementation, the control module further includes a software voltage limiting submodule, and the software voltage limiting submodule is configured as follows: Real-time calculation and limit of target pressure value .

[0011] In a possible implementation, the acquisition module is further used to acquire the patient's blood sodium concentration monitoring value in real time, and the software voltage limiting submodule is further configured as follows: When the blood sodium concentration monitoring value is less than 125mmol / L, the forced trigger , and at the same time generate and output a forced suction trigger signal.

[0012] In a possible implementation, the regulating execution device is implemented based on an electric proportional regulating valve and a pressure sensor arranged on a uterine distension fluid delivery pipeline.

[0013] In a possible implementation, the regulation execution device also includes a mechanical pressure relief valve for implementing over-limit protection, and the mechanical pressure relief valve is configured to open a pressure relief channel when the pressure in the pipeline exceeds 180 mmHg and lasts for ≥2 seconds.

[0014] A possible implementation also includes an independent risk value calculation module, which calculates and evaluates the dynamic risk value of water intoxication based on the patient's uterine distension fluid absorption monitoring value.

[0015] The perfusion pressure control system for hysteroscopic surgery provided in the embodiment of the present application includes: an acquisition module, which is used to acquire the dynamic risk value of water intoxication and the mean arterial pressure value of the surgical subject in real time; a target pressure determination module, which is used to call a preset dynamic pressure control model for calculation and processing based on the dynamic risk value of water intoxication and the mean arterial pressure value to determine the target pressure value; a control module, which is used to generate a control signal for the adjustment execution device based on the target pressure value; and the adjustment execution device is used to adjust the perfusion pressure in response to the control signal. In the technical solution of the present application, the dynamic risk value of water intoxication and the mean arterial pressure value of the patient are acquired in real time, and the preset dynamic pressure control model is used for calculation and processing to determine the target pressure value, and finally a control signal is generated to adjust the perfusion pressure; The design and implementation of the technical solution of the present application ensures that the perfusion pressure is maintained at a safe and effective level during the operation by real-time monitoring and adjustment of the perfusion pressure, thereby effectively reducing the risk of water intoxication caused by excessive absorption of uterine distension fluid in patients. Compared with the prior art method of relying on medical staff to manually implement preventive measures, this method of automatically adjusting the perfusion pressure based on risk prediction results reduces the impact of human factors on the surgical process and improves the safety and efficiency of the operation. Since the perfusion pressure can be dynamically adjusted according to real-time data, the entire surgical process is smoother and more controllable, which is conducive to maintaining the best visual field conditions, providing doctors with a clearer operating environment, and can improve the success rate of the operation and the treatment effect, thereby facilitating the realization of a balance between surgical safety and efficacy.

[0016] Other advantages, objectives, and features of the present application will be described in part in the following description, and in part will be apparent to those skilled in the art based on the following examination and study, or may be taught from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the technical solution of the present application or the prior art, and constitute a part of the specification. Among them, the accompanying drawings expressing the embodiments of the present application are used together with the embodiments of the present application to explain the technical solution of the present application, but do not constitute a limitation on the technical solution of the present application.

[0018] Figure 1 A schematic diagram of a system block diagram of a perfusion pressure control system for hysteroscopic surgery provided by one embodiment of the present application; Figure 2 A schematic diagram of a system block diagram of a perfusion pressure control system for hysteroscopic surgery provided by another embodiment of the present application; Figure 3 A schematic diagram of a system block diagram of a perfusion pressure regulation system for hysteroscopic surgery provided in yet another embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other implementation methods obtained by ordinary technicians in the field without making creative work belong to the scope of protection of the present application.

[0020] As described in the background art, in cases where hysteroscopic surgery is required for treatment, such as submucosal uterine myomectomy, the entire procedure may last 40 minutes or even more than an hour. This longer operation time increases the risk of the patient absorbing a large amount of uterine distention fluid, which may lead to dilutional hyponatremia, commonly known as water intoxication. Water intoxication not only causes electrolyte imbalance, but can also be life-threatening in severe cases. In order to avoid this situation, correct monitoring and management are essential to prevent and deal with such problems.

[0021] Based on this, in the existing related technologies, there are related technical implementation schemes for water intoxication risk prediction and early warning, such as the technical scheme involved in the prior patent with publication number CN119480115A and the name "A water intoxication prevention system for hysteroscopic electrosurgical resection". In this technical scheme, the risk value of water intoxication is calculated and evaluated based on the volume of intraoperative distending fluid infusion, the patient's blood oxygen saturation, serum sodium ion level and the current operation time, and an early warning prompt is output according to the risk prediction results, so that medical staff can take preventive measures before the risk reaches the critical point. However, in the process of realizing the present invention, the inventor found that in the current actual operation, such preventive measures still need to be manually implemented by medical staff, which is no different from manually implementing relevant preventive measures after relying on the experience of doctors to make risk judgments. Specific technical means are not used based on the risk prediction results to control the risk of water intoxication. It is easy to have to interrupt the operation during the operation due to the predicted risk being too high, which is not conducive to the balance between surgical safety and efficacy.

[0022] In view of this, the present application proposes a technical implementation that can automatically adjust the perfusion pressure according to the water intoxication risk value predicted during hysteroscopic surgery, which can be helpful in achieving a balance between surgical safety and efficacy.

[0023] like Figure 1 As shown, in one embodiment, the perfusion pressure control system for hysteroscopic surgery proposed in the present application includes: The acquisition module is used to obtain the dynamic risk value of water intoxication and the mean arterial pressure value of the surgical subject in real time.

[0024] The acquisition module here is mainly used to obtain two key parameters for the implementation of the scheme, the dynamic risk value of water intoxication and the mean arterial pressure value of the surgical subject. As for the assessment of the risk value of water intoxication, it can be implemented by using existing related technical systems, such as the "a water intoxication prevention system for hysteroscopic electrosurgical resection" in the existing patent mentioned in the background technology. Through communication connection with the system, the dynamic risk value of water intoxication during the operation can be obtained. It is also possible to independently build a technical implementation with similar functions to calculate and determine the dynamic risk value of water intoxication in real time.

[0025] As for the mean arterial pressure value of the surgical subject (ie, the patient), the mean arterial pressure value of the patient can be obtained in real time by connecting to the patient's vital signs monitoring device, such as an electrocardiograph or a pulse oximeter.

[0026] like Figure 1 As shown, the control system also includes a target pressure determination module, which is used to call a preset dynamic pressure control model for calculation and processing based on the dynamic risk value of water intoxication and the mean arterial pressure value to determine the target pressure value.

[0027] It should be noted that the dynamic pressure control model involved in this module is the core key point of the technical solution of this application, which is constructed based on the occurrence mechanism of water intoxication; based on relevant medical research, the essence of water intoxication is that the distension medium squeezes into the blood vessels, causing too much distension medium to enter the human body, and the key point affecting this process is the relationship between the distension pressure (which can be reflected by the perfusion pressure) and the vascular pressure (which can be reflected by the mean arterial pressure). Under the condition of known risk value changes and considering the corresponding mean arterial pressure, it is obvious that the risk of water intoxication can be controlled by adjusting the perfusion pressure; based on this technical concept, the dynamic pressure control model is the key to achieving automatic control. It is easy to understand that the dynamic pressure control model that meets the needs in practice may be diverse. This application will give examples of the dynamic pressure control model in the following text, which will not be further expanded here.

[0028] like Figure 1 As shown, the control system also includes a control module and a regulation execution device; the control module is used to generate a control signal for the regulation execution device based on the target pressure value, and the regulation execution device is used to adjust the perfusion pressure in response to the control signal.

[0029] As for the control module and the regulating execution device, it is easy for those skilled in the art to understand that the implementation principle is the same as that of the existing uterine distension device with pressure control function, and the actual generation of the control signal is related to the pressure adjustment actuator adopted by the device, and it is necessary to ensure that the signal can not only accurately reflect the required pressure adjustment range, but also be correctly interpreted by the regulating execution device. Based on different regulating execution devices, the control signal here may include but is not limited to instructions to increase or decrease the liquid flow rate, adjust the operating frequency of the pump, or change the opening ratio of the valve; these are all existing mature control implementation technologies, and this application will not elaborate on them here.

[0030] Based on the introduction of the above embodiments, it is easy to understand that the perfusion pressure control system for hysteroscopic surgery in the present application is essentially a functionally enhanced uterine distension device. In actual implementation, it can be realized based on the improvement of the existing uterine distension device, such as by adding an external interface to obtain the dynamic risk value of water intoxication and the mean arterial pressure value of the surgical subject, and realizing the target pressure determination module based on the adjustment of the relevant software configuration, and then using the control and regulation execution components of the existing equipment to realize the dynamic regulation of the intraoperative perfusion pressure.

[0031] The present application adopts the above-mentioned technical scheme, and ensures that the perfusion pressure is maintained at a safe and effective level during the operation by real-time monitoring and adjustment of the perfusion pressure, thereby effectively reducing the risk of water intoxication caused by excessive absorption of uterine distension fluid in patients; compared with the existing technology that relies on medical staff to manually implement preventive measures, this method of automatically adjusting the perfusion pressure based on risk prediction results reduces the impact of human factors on the surgical process and improves the safety and efficiency of the operation; because the perfusion pressure can be dynamically adjusted according to real-time data, the entire surgical process is smoother and more controllable, which is conducive to maintaining the best visual conditions, providing doctors with a clearer operating environment, and can improve the success rate of the operation and the treatment effect, which is conducive to achieving a balance between surgical safety and efficacy.

[0032] To facilitate understanding of the technical solution of the present application, the technical solution of the present application is introduced and explained with reference to some other embodiments below.

[0033] Based on the above embodiments, in some embodiments, the dynamic pressure control model used in the control module is based on the following expression (1): (1) In expression (1), Indicates the target pressure value at time t (unit: mmHg), Indicates the average pulse pressure value at time t (unit: mmHg), reflecting the patient's current vascular status; represents the dynamic risk of water intoxication at time t (unitless), which can be calculated by an independent module or obtained from an external system, reflecting the current risk of fluid absorption (usually in the range of 0–100); represents the influence factor of uterine distension medium (fixed parameter, depends on the medium type); Represents the blood pressure compensation coefficient, which is used to balance the effect of mean arterial pressure on uterine distension pressure. Represents the risk suppression coefficient, which is used to control the sensitivity of the risk value to pressure adjustment.

[0034] Regarding the dynamic pressure control model shown in the above expression (1), the action mechanism of each parameter is explained below: (a) Blood pressure compensation The purpose is to ensure that the uterine distension pressure is dynamically adapted to the patient's blood pressure to avoid excessive fluid absorption due to excessive pressure or excessive low pressure affecting the surgical field of view. It can be determined by combining relevant clinical trial data, literature references and expert opinions. For example, the parameter range determined in this way is ; For example, for ordinary patients, the actual , indicating that the target pressure is about 80% of the patient's MAP, which ensures sufficient uterine cavity expansion and avoids pressure exceeding the vascular compensation capacity; for patients with hypertension, down to 0.75), lowering the target pressure and reducing the risk of blood vessel rupture; for patients with hypotension, Adjust it up to 0.85 and increase the pressure appropriately to maintain a clear field of vision.

[0035] (b) Risk suppression items The design logic of the logarithmic function here is mainly to achieve nonlinear response. When the risk value is low (such as 0-30), the logarithmic function changes smoothly, allowing the pressure to drop slowly to reduce interference with surgical operations. When the risk value is high (such as >50), the function slope increases, triggering rapid pressure reduction to cope with high risks, thereby automatically achieving risk control. It is a normalization method that scales the risk value to a reasonable range to avoid numerical overflow.

[0036] And about The adjustment configuration of the value is mainly based on the setting of surgical risk estimation. The parameter value is also determined by combining relevant clinical trial data and expert opinions. For example, the parameter range determined in this way is ; For example, , which means that each unit of risk value logarithmic change corresponds to a 15 mmHg pressure adjustment; this is advisable for high-risk surgeries. , to enhance risk suppression and reduce stress more quickly; it is advisable for low-risk surgeries , reduce excessive intervention and maintain stable pressure; (c) Medium correction Used to indicate the effects of different types of uterine distension media. For example, when the medium is normal saline, it is an isotonic solution, which has little effect on blood sodium after absorption and does not require additional pressure compensation. The acceptable value is 0. When the medium is 5% glucose solution, it is a hypotonic solution, and absorption can easily lead to hyponatremia. Therefore, the upper limit of the target pressure needs to be increased to reduce the exposure time by completing the operation faster. The possible value is +5; It is easy to understand that, in practice, multiple medium parameters can be preset (e.g., the medium is lactated Ringer's solution, The value can be +3) to adapt to different clinical scenarios.

[0037] It should also be noted that in the dynamic pressure control model, the setting of the correlation coefficient in the initial stage of the implementation of the technical solution mainly depends on the professional experience and clinical judgment of the physician. This is because the physician can provide a relatively reasonable parameter setting based on the understanding of the patient's specific condition and years of practical accumulation. However, with the implementation and continuous application of the technical solution, more and more historical surgical data are collected. These rich data provide the possibility of optimizing the relevant parameters in the control model.

[0038] With the help of modern artificial intelligence technology and big data processing capabilities, machine learning methods can be used to conduct in-depth analysis of these accumulated data. By training algorithms to identify which parameter settings are most effective in specific situations, the system can gradually learn and adjust its recommendation strategy. This approach can not only improve treatment effects, but also help reduce human errors, making the entire treatment process more scientific and precise. This data-driven optimization method will gradually realize intelligent recommendations for parameter settings. For medical staff, they can obtain more personalized and refined treatment recommendations, thereby improving work efficiency and treatment quality. Ultimately, this will help improve patient treatment outcomes.

[0039] Based on this, specific Figure 3 As shown, in some embodiments, the system further includes a machine learning module configured to perform , The optimization and determination of parameters, this method of implementing parameter optimization based on big data is a common method in existing smart medical related technologies, and this application will not be further elaborated here.

[0040] In this embodiment, for the sake of system equipment integration, such as Figure 3 As shown, in some specific embodiments, the system also includes an independent risk value calculation module, which calculates the dynamic risk value of water intoxication based on the patient's uterine distension fluid absorption monitoring value to obtain the dynamic risk value of water intoxication required for perfusion pressure regulation.

[0041] Furthermore, considering that the model shown in expression (1) already involves the mean arterial pressure monitoring value parameter, in order to avoid the occurrence of related problems caused by parameter coupling, the risk value calculation module should no longer involve the mean arterial pressure monitoring parameter when calculating the dynamic risk value; For example, a risk prediction model may be constructed based on the monitoring values ​​of uterine distension fluid absorption, heart rate monitoring values, EEG monitoring values, body temperature monitoring values, and complexion change monitoring conditions, and the construction method thereof may be implemented in the same or similar manner as the prior art; Specifically, in one embodiment, the constructed risk prediction model is shown in the following expression: (2) In expression (2), Indicates the amount of uterine distention fluid absorbed (in ml), is the corresponding normalization function; Indicates heart rate, Indicates the change in heart rate relative to the baseline. To suppress extreme values; EGG stands for electroencephalogram. In practical applications, the slow wave power ratio (0-1) or rhythm abnormality index can be used for calculation. ; T represents body temperature, Indicates the temperature deviation range, Indicates the absolute value of deviation from normal value; S represents the skin color label. In actual implementation, the skin color deviation can be obtained by analyzing the image of the patient and then used in the calculation. Its value range is (0-1), where 1 represents cyanosis / pallor, To achieve nonlinear amplification of the deviation; t represents the current operation duration (minutes), where processing methods to represent the cumulative effect of time; k1 to k6 represent corresponding weight coefficients.

[0042] Based on the above expression (2), in a specific implementation, based on the evaluation of relevant medical experts, the specific weight coefficients are distributed as shown in Table 1 below: Table 1-Weight distribution and basis On the other hand, the control system involved in the technical solution of this application belongs to the category of medical surgical equipment. Therefore, special attention must be paid to the safety requirements of medical scenarios, and a series of strict safety protection mechanisms must be set up to avoid the occurrence of related possible risks.

[0043] Based on this, the technical solution of this application firstly adopts relevant safety mechanisms from the aspect of software control implementation. In some embodiments, such as Figure 2 As shown, the control module in the present application also includes a software pressure limiting submodule, which is configured to: calculate and limit the target pressure value in real time to meet .

[0044] This control safety configuration is designed to ensure the target pressure value For example, in a specific implementation, the software pressure limiting submodule directly obtains the mean arterial pressure monitoring data from the acquisition module, and dynamically adjusts and limits the calculated target pressure value based on the data. If the measured value is 80 mmHg, the software pressure-limiting submodule will ensure that the target pressure value at any time does not exceed 96 mmHg (i.e. 1.2 times of 80 mmHg), so as to avoid the target pressure value exceeding the limit based on the dynamic pressure control model. For example, when the target pressure value calculated based on the model exceeds 96 mmHg, the target pressure value will be forced to be 96 mmHg.

[0045] It is easy to understand that the above method can generally avoid potential risks caused by excessive pressurization, such as vascular damage or other complications, by limiting the target pressure value to a reasonable range relative to the patient's current mean arterial pressure.

[0046] Furthermore, considering the needs of actual scenarios, the software pressure limiting submodule can also be configured with an alarm mechanism. Specifically, it is also configured to automatically generate and output preset alarm information once it detects that the calculated target pressure is close to or reaches the set upper limit value, so as to remind medical staff to pay attention and take corresponding intervention measures. This not only helps to improve the safety of surgery, but also enhances the ability of medical staff to monitor the patient's condition, ensuring that possible problems can be discovered and handled in the first place.

[0047] Based on similar considerations, in some specific embodiments, the acquisition module is also used to obtain the patient's blood sodium concentration monitoring value in real time, and the software voltage limit submodule is also configured to: when the blood sodium concentration monitoring value is less than 125mmol / L, the forced trigger , and at the same time generate and output a forced suction trigger signal; In the above configuration, based on the monitoring of blood sodium concentration, the patient's safety is further ensured and a response is made; specifically, as mentioned above, the acquisition module of the present application is also designed to obtain the patient's blood sodium concentration ([Na+]) data in real time. It is easy to understand that in actual scenarios, the blood sodium concentration here can be monitored using a point-of-care test (POCT) device or other non-invasive detection equipment. It is easy for those skilled in the art to understand that when the blood sodium concentration monitoring value is less than 125mmol / L, in the technical scenario of the present application, it usually indicates that water intoxication has occurred or is about to occur, and relevant emergency treatment measures need to be adopted. In this case, the perfusion system should switch to the corresponding special mode for emergency takeover and execution of corresponding safety measures, as described above. The forced trigger , and at the same time generate and output a forced suction trigger signal, thereby triggering the action of the suction pump and other components of the perfusion system to facilitate the discharge of the medium, and then facilitate medical staff to implement relevant rescue measures, such as supplementing sodium chloride to correct hyponatremia, using diuretics and drugs to reduce cardiac load, and using drugs such as demeclocycline and lithium carbonate.

[0048] The following is a brief introduction to the adjustment execution device. In some embodiments, Figure 3 As shown, the regulating actuator is realized based on an electric ratio regulating valve and a pressure sensor arranged on the uterine distension fluid delivery pipeline; Specifically, the pressure sensing here can be realized by using a MEMS piezoresistive sensor. The valve body of the electric ratio control valve adopts a medical 316L stainless steel valve body and is driven by piezoelectric ceramics to meet the medical hygiene requirements in the scene and achieve a millisecond response speed.

[0049] Furthermore, the software pressure limiting submodule mentioned in the above embodiment is a safety prevention mechanism in software control. Although it can play an effective safety protection role in real-time monitoring and adjusting the target pressure value, this method still has certain limitations. The main reason is that the safety measures at the software level cannot completely cover all potential risks. Especially in the case of hardware failure, relying solely on software control may not be enough to ensure the stable operation of the system and the safety of patients; Therefore, in order to provide more comprehensive safety protection, it is necessary to introduce additional safety mechanisms at the hardware level to supplement and improve the existing software control strategy. For example, an independent hardware pressure limiter can be added to the device design. The pressure limiter directly monitors and limits the actual output pressure value to ensure that the system can remain within a safe working range even if the software fails or is operated incorrectly. This hardware pressure limiter is not affected by the main control system and can independently achieve pressure safety protection.

[0050] Based on this, in some embodiments, Figure 2 As shown in the figure, the regulating actuator also includes a mechanical pressure relief valve for over-limit protection, which is configured to open the pressure relief channel when the pressure in the pipeline exceeds 180 mmHg and lasts for ≥ 2 seconds. This technical implementation method can provide the system with the last line of defense, ensuring that even if the software pressure limiting measures fail or the hardware fails, it can effectively prevent excessive pressure from causing harm to the patient.

[0051] Specifically, the design of this mechanical pressure relief valve is independent of the software control system, not affected by the state of the main control system, and can start automatically in an emergency, thus ensuring the safety of the system; and once it is detected that the pressure exceeds the standard and the duration reaches the set threshold, the mechanical pressure relief valve can quickly open the pressure relief channel to release the excessive pressure, thereby avoiding potential harm to the patient; this direct physical intervention in the pressure level in the system provides a reliable, tamper-proof pressure protection mechanism, which increases the robustness and reliability of the system.

[0052] It should be noted that the above-mentioned specific values ​​of 180 mmHg and 2s are only an example of a specific implementation method. In the actual implementation of the solution, mechanical pressure relief valve assemblies with different opening pressures and delay time parameters can be selected or calibrated according to different application scenarios to meet the special needs of various medical scenarios.

[0053] The perfusion pressure control system for hysteroscopic surgery in this application significantly improves the safety and efficiency of hysteroscopic surgery by integrating dynamic risk assessment and automatic pressure adjustment functions. The specific technical effects are as follows: The system can acquire and process the dynamic risk value of water intoxication and the patient's key physiological parameters (such as average pulsation value, blood sodium concentration, etc.) in real time, and calculate the target pressure value through a preset dynamic pressure control model, thereby realizing automatic adjustment of the perfusion pressure. This not only reduces the workload of medical staff, but also reduces the risks caused by human misjudgment. Based on the patient's real-time physiological data, combined with the optimization adjustment of the influencing factors of the uterine distension medium and specific coefficients, a personalized perfusion pressure control strategy is provided for each patient to ensure that the risk of water intoxication is minimized while maintaining a clear field of vision.

[0054] Through the design of the software pressure limiting submodule and the mechanical pressure relief valve, the system can forcibly limit the maximum pressure output or open an emergency pressure relief channel when necessary, effectively preventing complications caused by excessive perfusion pressure and further ensuring surgical safety; the system has the ability to dynamically adjust the pressure threshold according to the patient's current blood sodium concentration, and can trigger forced suction instructions to respond to possible severe hyponatremia in a timely manner, thereby improving the response speed and accuracy to potential dangerous conditions; and using the machine learning module, the system can continuously optimize key parameters based on historical surgical data, making it more adaptable to different clinical scenarios, thereby improving overall performance and reliability.

[0055] To sum up, the technical solution of the present application avoids unnecessary interruptions of surgery by precisely controlling the perfusion pressure, helps maintain a good surgical operating environment, thereby improving the success rate of the operation and facilitating the rapid recovery of patients after surgery; the technical solution of the present application not only solves the problem of manual adjustment relying on experience in the prior art, but also greatly improves the safety and controllability of hysteroscopic surgery by introducing intelligent and automated means.

[0056] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by any person familiar with the technology within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0057] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0058] It should be noted that, in the description of this application, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0059] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0060] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A perfusion pressure control system for hysteroscopic surgery, characterized in that: include: An acquisition module, used for acquiring the dynamic risk value of water intoxication and the mean arterial pressure value of the surgical subject in real time; a target pressure determination module, for invoking a preset dynamic pressure control model to perform calculation processing based on the water intoxication dynamic risk value and the mean arterial pressure value, and determining a target pressure value; A control module, configured to generate a control signal for adjusting an actuator based on the target pressure value; The regulating execution device is used to regulate the perfusion pressure in response to the control signal.

2. The perfusion pressure regulating system for hysteroscopic surgery according to claim 1, wherein: The dynamic pressure control model is based on the following expression: In the expression, represents the target pressure value at time t, represents the average pulsating pressure value at time t, represents the dynamic risk value of water poisoning at time t, represents the influence factor of uterine distension medium, Represents the blood pressure compensation coefficient, which is used to balance the effect of mean arterial pressure on uterine distension pressure. Represents the risk suppression coefficient, which is used to control the sensitivity of the risk value to pressure adjustment.

3. The perfusion pressure regulating system for hysteroscopic surgery according to claim 2, wherein: When the uterine distension medium is normal saline, The value is 0; When the uterine distension medium is 5% glucose solution, The value is +5.

4. The perfusion pressure regulating system for hysteroscopic surgery according to claim 2, wherein: ， 。 5. The perfusion pressure regulating system for hysteroscopic surgery according to claim 2, wherein: It also includes a machine learning module that is configured to perform , Optimization of parameters.

6. The perfusion pressure regulating system for hysteroscopic surgery according to claim 2, wherein: The control module further includes a software voltage limiting submodule, and the software voltage limiting submodule is configured as follows: Real-time calculation and limit of target pressure value .

7. The perfusion pressure regulating system for hysteroscopic surgery according to claim 6, wherein: The acquisition module is also used to acquire the patient's blood sodium concentration monitoring value in real time, and the software voltage limiting submodule is also configured as follows: When the blood sodium concentration monitoring value is less than 125mmol / L, the forced trigger , and at the same time generate and output a forced suction trigger signal.

8. The perfusion pressure regulating system for hysteroscopic surgery according to claim 1, wherein: The regulating execution device is realized based on an electric proportional regulating valve and a pressure sensor arranged on the uterine distension fluid delivery pipeline.

9. The perfusion pressure regulating system for hysteroscopic surgery according to claim 8, wherein: The regulation execution device also includes a mechanical pressure relief valve for achieving over-limit protection, and the mechanical pressure relief valve is configured to open a pressure relief channel when the pressure in the pipeline exceeds 180 mmHg and lasts for ≥2 seconds.

10. The perfusion pressure regulating system for hysteroscopic surgery according to claim 2, wherein: It also includes an independent risk value calculation module, which calculates and evaluates the dynamic risk value of water intoxication based on the patient's uterine distension fluid absorption monitoring value.

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