Endocrine hydrops sampling method and system

Abstract

The invention provides an endocrine effusion sampling method and system. The endocrine effusion sampling method comprises the following steps: automatically collecting pressure of each monitoring point through a pressure sensor; determining the change gradient of the flow velocity of the effusion in the chest drainage tube according to the pressure difference characteristics of all the pressures, and determining a stagnant area of the effusion in the chest drainage tube according to the change gradient of the flow velocity and the viscosity of the effusion in the chest drainage tube; the hydrops loss amount of hydrops in the thoracic cavity in the drainage process is determined according to the negative pressure state of the aspirator on the thoracic cavity drainage tube and the drainage time of the hydrops extraction equipment; determining a tolerance interval of negative pressure change of the thoracic cavity drainage tube in the sampling process according to the stagnation area and the hydrops loss amount; and controlling the effusion extraction equipment to sample effusion in the thoracic cavity of the target patient according to the tolerance interval of the negative pressure change. By the adoption of the scheme, the drainage tube can be prevented from being blocked or flowing in a flowing area, and the influence on drainage stagnation during hydrops sampling can be reduced.

Description

Technical Field

[0001] The present application relates to the technical field of effusion sampling, and more specifically, to an endocrine effusion sampling method and system. Background Art

[0002] Fluid sampling refers to the extraction of accumulated fluid from the human body's cavities (such as the chest cavity, abdominal cavity, joint cavity, etc.) for laboratory testing and analysis to help diagnose diseases. The main purpose of fluid sampling is to identify the cause of the effusion by testing its properties, and to provide a basis for clinical diagnosis and treatment. For example, pleural effusion testing can include general properties testing, chemical testing, microscopic examination, and bacteriological testing.

[0003] Endocrine effusion sampling refers to the process of collecting fluid samples produced by endocrine glands or their secretory cavities in the body. These fluids usually include hormones, metabolites or other biological molecules secreted by the glands. Sampling can help doctors or researchers analyze the composition of these fluids and then evaluate the function and health of the endocrine system. In the existing endocrine effusion sampling process, a chest drainage tube is inserted into the area to be sampled (i.e., the endocrine effusion area), and the effusion in the chest cavity is drained out by applying negative pressure to the chest drainage tube to complete the sampling of the effusion in the chest cavity. However, during the drainage process, due to the adhesion effect between the effusion and the inner wall of the drainage tube, the drainage tube is blocked or the flow area is reduced during sampling, which leads to drainage stagnation or a decrease in drainage rate during sampling. Therefore, how to avoid the influence of drainage tube blockage or reduction in flow area on drainage stagnation during effusion sampling has become a problem faced by the industry. Summary of the invention

[0004] The present application provides an endocrine effusion sampling method and system, which can avoid the blockage of the drainage tube or reduce the influence of drainage stagnation in the flow area during effusion sampling.

[0005] In a first aspect, the present application provides an endocrine effusion sampling method, which is used for an effusion extraction device to perform effusion sampling on a target patient, wherein the effusion extraction device comprises a chest drainage tube and an aspirator, wherein the chest drainage tube is used to drain the effusion in the chest cavity, and the aspirator is used to provide negative pressure to the chest drainage tube, and the method comprises the following steps: Arrange multiple pressure monitoring points on the chest drainage tube, and automatically collect the pressure of each monitoring point through a pressure sensor; Performing a difference analysis on the flow velocity of the effusion in the chest drainage tube according to the pressure difference characteristics of all pressures collected by the pressure sensor to obtain a change gradient of the flow velocity of the effusion in the chest drainage tube, and determining a stagnation area of ​​the effusion in the chest drainage tube according to the change gradient of the flow velocity and the viscosity of the effusion in the chest drainage tube; Determining the amount of fluid loss in the pleural cavity during the drainage process based on the negative pressure state of the chest drainage tube applied by the aspirator and the drainage time of the fluid extraction device; performing a negative pressure fluctuation analysis on the effusion in the chest drainage tube according to the stagnation zone and the effusion loss amount, and obtaining a tolerance interval of the negative pressure change of the chest drainage tube during the sampling process; The fluid extraction device is controlled according to the tolerance interval of the negative pressure change to sample the fluid in the pleural cavity of the target patient.

[0006] In some embodiments, performing a differential analysis on the flow rate of the effusion in the chest drainage tube according to the pressure difference characteristics of all pressures collected by the pressure sensor to obtain a change gradient of the flow rate of the effusion in the chest drainage tube specifically includes: Determine the pressure differential characteristics of all pressures; Determining a plurality of flow rate differences of the effusion in the chest drainage tube according to the pressure difference characteristic; The change gradient of the flow velocity of the effusion in the chest drainage tube is determined by all flow velocity differences.

[0007] In some embodiments, determining the stagnant area of ​​the effusion in the chest drainage tube by the change gradient of the flow rate and the viscosity of the effusion in the chest drainage tube specifically includes: determining the viscosity of the fluid in the chest drainage tube; Determining a sudden change area of ​​flow velocity of the effusion in the chest drainage tube according to the change gradient of the flow velocity; The stagnant area of ​​the effusion in the chest drainage tube is determined by the flow rate mutation area and the viscosity of the effusion.

[0008] In some embodiments, determining the amount of fluid loss in the pleural effusion during the drainage process based on the negative pressure state of the chest drainage tube by the aspirator and the drainage time of the effusion extraction device specifically includes: determining a negative pressure state of the aspirator on the chest drainage tube; determining a negative pressure gain of the pressure in the chest drainage tube according to the negative pressure state; Obtaining the drainage time of the effusion extraction device; The amount of fluid loss during drainage of the pleural effusion is determined by the drainage time and the negative pressure gain.

[0009] In some embodiments, the negative pressure fluctuation analysis of the effusion in the chest drainage tube is performed according to the stagnation zone and the effusion loss amount, and the tolerance interval of the negative pressure change of the chest drainage tube during the sampling process is obtained, which specifically includes: Obtaining a current negative pressure value of the aspirator on the chest drainage tube at the current moment; Determine the negative pressure influence interval of the effusion in the chest drainage tube according to the stagnation zone and the current negative pressure value; Predicting a fluctuation coefficient of the negative pressure in the chest drainage tube according to the effusion loss and the current negative pressure value; The tolerance range of the negative pressure change of the chest drainage tube during the sampling process is determined by the negative pressure influence range and the fluctuation coefficient.

[0010] In some embodiments, controlling the effusion extraction device to sample the effusion in the pleural cavity of the target patient according to the tolerance interval of the negative pressure change specifically includes: Determining negative pressure control information of the effusion extraction device; adjusting the negative pressure control information according to the tolerance interval of the negative pressure change to obtain new negative pressure control information; The negative pressure condition of the effusion extraction device when sampling the effusion in the pleural cavity of the target patient is controlled by the new negative pressure control information.

[0011] In some embodiments, the viscosity of the fluid accumulated in the chest drainage tube is collected by a viscosity sensor.

[0012] In a second aspect, the present application provides an endocrine effusion sampling system, the system comprising an effusion extraction device and a sampling control unit, the effusion extraction device comprising a chest drainage tube and an aspirator, the sampling control unit comprising: A collection module, used for automatically collecting the pressure of each monitoring point through a pressure sensor after multiple pressure monitoring points are arranged on the chest drainage tube; a processing module, configured to perform a difference analysis on the flow velocity of the effusion in the chest drainage tube according to the pressure difference characteristics of all pressures collected by the pressure sensor, obtain a change gradient of the flow velocity of the effusion in the chest drainage tube, and determine a stagnation zone of the effusion in the chest drainage tube according to the change gradient of the flow velocity and the viscosity of the effusion in the chest drainage tube; The processing module is further used to determine the amount of fluid loss in the pleural cavity during the drainage process based on the negative pressure state of the chest drainage tube applied by the aspirator and the drainage time of the fluid extraction device; The processing module is further used to perform negative pressure fluctuation analysis on the effusion in the chest drainage tube according to the stagnation area and the effusion loss amount, so as to obtain a tolerance range of negative pressure change of the chest drainage tube during sampling; An execution module is used to control the fluid extraction device to sample the fluid in the pleural cavity of the target patient according to the tolerance interval of the negative pressure change.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned endocrine effusion sampling method.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned endocrine effusion sampling method is implemented.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In an endocrine effusion sampling method and system provided by the present application, first, a plurality of pressure monitoring points are arranged on the chest drainage tube, and the pressure of each monitoring point is automatically collected by a pressure sensor; the flow rate of the effusion in the chest drainage tube is differentially analyzed according to the pressure difference characteristics of all pressures collected by the pressure sensor to obtain the change gradient of the flow rate of the effusion in the chest drainage tube, and the stagnation area of ​​the effusion in the chest drainage tube is determined by the change gradient of the flow rate and the viscosity of the effusion in the chest drainage tube; the amount of effusion loss in the chest during the drainage process is determined by the negative pressure state of the chest drainage tube by the aspirator and the drainage time of the effusion extraction device; the negative pressure fluctuation analysis of the effusion in the chest drainage tube is performed according to the stagnation area and the effusion loss to obtain the tolerance interval of the negative pressure change of the chest drainage tube during the sampling process; and the effusion extraction device is controlled according to the tolerance interval of the negative pressure change to sample the effusion in the chest of the target patient.

[0016] It can be seen that in the process of endocrine effusion sampling, the present application firstly analyzes the flow rate of the effusion in the chest drainage tube through the pressure difference characteristics of all pressures, and obtains the change gradient of the flow rate of the effusion in the chest drainage tube. The change gradient of the flow rate indicates the degree of change of the flow rate of the effusion in the chest drainage tube when the distance changes during the flow process, which can be used to identify the flow state of the effusion in the chest drainage tube; secondly, the stagnation area of ​​the effusion in the chest drainage tube is determined by analyzing the change gradient of the flow rate in combination with the viscosity of the effusion in the chest drainage tube. The stagnation area indicates the area where the effusion in the chest drainage tube is stagnant during the flow process, that is, the effusion in this area adheres to the inner wall of the chest drainage tube, which can be used to analyze the blockage of the effusion in the chest drainage tube, so as to facilitate the smooth flow of the effusion during the sampling process; further, the negative pressure state of the aspirator on the chest drainage tube is combined with the extraction of effusion. The drainage time of the device is analyzed to determine the amount of fluid loss in the pleural effusion during the drainage process. The fluid loss amount represents the parameter value of the degree of fluid loss when draining the pleural effusion, which can be used to compensate for the volume of fluid when sampling the effusion, so as to eliminate the influence of the chest drainage tube on the drainage volume when the chest drainage tube is blocked. Then, the negative pressure fluctuation analysis of the effusion in the chest drainage tube is performed according to the stagnation area and the fluid loss amount, and the tolerance interval of the negative pressure change of the chest drainage tube during the sampling process is obtained. The tolerance interval represents the interval of the error degree of negative pressure when the chest drainage tube changes during the sampling process, which can be used to adjust the negative pressure effect in the chest drainage tube, and can reduce the influence of the blockage in the chest drainage tube on the sampling. Finally, the effusion extraction device is controlled to sample the effusion in the chest of the target patient according to the tolerance interval of the negative pressure change. The above scheme can avoid the influence of drainage stagnation on the sampling of effusion in the blocked or flow area of ​​the drainage tube. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of the endocrine effusion sampling method according to some embodiments of the present application; Figure 2 is a diagram of steps for sampling pleural effusion according to some embodiments of the present application; Figure 3 is an exemplary flow chart for determining a stagnant area of ​​effusion according to some embodiments of the present application; Figure 4 is a schematic diagram of the structure of a sampling control unit according to some embodiments of the present application; Figure 5 It is a schematic diagram of the structure of a computer device for implementing the endocrine effusion sampling method shown in some embodiments of the present application. DETAILED DESCRIPTION In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0018] refer to Figure 1 , which is an exemplary flow chart of an endocrine effusion sampling method according to some embodiments of the present application, wherein the endocrine effusion sampling method 100 mainly comprises the following steps: In step 101, a plurality of pressure monitoring points are arranged on the chest drainage tube, and the pressure at each monitoring point is automatically collected by a pressure sensor.

[0019] In a specific implementation, a plurality of pressure monitoring points are arranged on the chest drainage tube, and the pressure at each monitoring point is automatically collected by a pressure sensor. It should be noted that when arranging the pressure monitoring points, the points on the chest drainage tube where stagnation or blockage is prone to occur in historical collection are set as pressure monitoring points, and the sensing points of the pressure sensor are connected to each pressure monitoring point, and the pressure at each pressure monitoring point is collected by the pressure sensor during the drainage process of the chest drainage tube. In other embodiments, other methods of collection may also be used, which are not limited here.

[0020] In some embodiments, reference Figure 2 As shown in FIG. 1 , this figure is a step diagram of sampling pleural effusion in some embodiments of the present application, such as Figure 2 As described, first, the patient is positioned, and then the point to be punctured is selected. After selection, the puncture point and the surrounding skin are disinfected, a sterile drape is laid, and local anesthesia is performed around the puncture point. After anesthesia, puncture is performed to complete the extraction of the effusion. After the extraction is completed, the puncture needle is removed to complete the sampling of the effusion in the chest cavity.

[0021] In step 102, a difference analysis is performed on the flow velocity of the effusion in the chest drainage tube based on the pressure difference characteristics of all pressures collected by the pressure sensor to obtain a change gradient of the flow velocity of the effusion in the chest drainage tube, and a stagnation area of ​​the effusion in the chest drainage tube is determined by the change gradient of the flow velocity and the viscosity of the effusion in the chest drainage tube.

[0022] In some embodiments, the flow rate of the effusion in the chest drainage tube is differentially analyzed according to the pressure difference characteristics of all pressures collected by the pressure sensor, and the change gradient of the flow rate of the effusion in the chest drainage tube is obtained by the following steps: Determine the pressure differential characteristics of all pressures; Determining a plurality of flow rate differences of the effusion in the chest drainage tube according to the pressure difference characteristic; The change gradient of the flow velocity of the effusion in the chest drainage tube is determined by all flow velocity differences.

[0023] In specific implementation, the pressure difference characteristics of all pressures can be determined in the following manner, namely: all pressures are arranged in the order of the corresponding monitoring points on the chest drainage tube, the sequence obtained by the arrangement is used as the pressure sequence, a group of adjacent pressures in the pressure sequence is selected as the selected adjacent pressures, the second pressure in the selected adjacent pressures is subtracted from the first pressure, and the value obtained by the subtraction is used as the pressure difference value of the selected adjacent pressures, and the pressure difference values ​​of the remaining groups of adjacent pressures in the pressure sequence are continued to be determined, wherein the pressure difference value represents a parameter value of the difference degree of pressure of the effusion between adjacent monitoring points when the chest drainage tube is drained, and the set of all pressure difference values ​​is used as the pressure difference characteristics of all pressures, wherein the pressure difference characteristics represent the characteristics of the difference degree of pressure of the effusion in the chest drainage tube between each monitoring point; in other embodiments, other methods can also be used for determination, which are not limited here.

[0024] In specific implementation, the following method can be used to determine multiple flow rate differences of the effusion in the chest drainage tube according to the pressure difference characteristic, namely: the density of the effusion is collected by a density sensor, a group of adjacent monitoring points are selected as selected adjacent monitoring points, and the flow rate difference between the selected adjacent monitoring points is calculated by combining the Bernoulli equation in the prior art with the pressure difference value corresponding to the selected adjacent monitoring points in the pressure difference characteristic and the density of the effusion, and the flow rate difference between the remaining adjacent monitoring points is continued to be determined, wherein the flow rate difference represents a parameter value of the degree of difference in the flow rate of the effusion between adjacent monitoring points; the change gradient of the flow rate of the effusion in the chest drainage tube is determined by all the flow rate differences. The degree can be achieved in the following manner, namely: collecting the distance between each group of adjacent monitoring points through a distance sensor, selecting a group of adjacent monitoring points as selected adjacent monitoring points, dividing the flow velocity difference corresponding to the selected adjacent monitoring points by the distance between the selected adjacent monitoring points, using the value obtained by the division as the change value of the flow velocity between the selected adjacent monitoring points, and continuing to determine the change value of the flow velocity between the remaining groups of adjacent monitoring points, wherein the change value of the flow velocity represents a parameter value of the degree of change of the flow velocity between the adjacent monitoring points with the distance, and the collection of all the change values ​​of the flow velocity is used as the change gradient of the flow velocity of the effusion in the chest drainage tube; in other embodiments, other methods can also be used for determination, which are not limited here.

[0025] It should be noted that the flow velocity change gradient in the present application represents the degree of change in flow velocity as the distance of the effusion in the chest drainage tube changes during the flow process, and can be used to identify the flow state of the effusion in the chest drainage tube.

[0026] In some embodiments, reference Figure 3As shown in FIG. 1 , this figure is an exemplary flow chart for determining the stagnant area of ​​effusion in some embodiments of the present application. In this embodiment, the stagnant area of ​​effusion in the chest drainage tube is determined by the change gradient of the flow rate and the viscosity of the effusion in the chest drainage tube, which can be achieved by the following steps: First, in step 1021, the viscosity of the effusion in the chest drainage tube is determined; Next, in step 1022, a flow velocity mutation region of the effusion in the chest drainage tube is determined according to the flow velocity change gradient; Finally, in step 1023, the stagnant area of ​​the effusion in the chest drainage tube is determined according to the flow velocity mutation area and the viscosity of the effusion.

[0027] In specific implementation, determining the viscosity of the effusion in the chest drainage tube can be achieved in the following manner, namely: collecting the viscosity of the effusion in the chest drainage tube through a viscosity sensor; determining the flow velocity mutation area of ​​the effusion in the chest drainage tube according to the flow velocity change gradient can be achieved in the following manner, namely: calculating the average value of all flow velocity change values ​​in the flow velocity change gradient, extracting all flow velocity change values ​​greater than the average value from the flow velocity change gradient, and taking the set of areas between two monitoring points corresponding to the extracted flow velocity change values ​​as the flow velocity mutation area of ​​the effusion in the chest drainage tube, wherein the flow velocity mutation area represents an area where the flow velocity suddenly changes during the flow of the effusion in the chest drainage tube, which can be used to analyze the flow condition of the effusion in the chest drainage tube; in other embodiments, other methods can also be used to determine, which are not limited here.

[0028] In specific implementation, determining the stagnation zone of the effusion in the chest drainage tube by the flow velocity mutation zone and the viscosity of the effusion can be achieved in the following manner, namely: initializing a stagnation zone model, taking the viscosity of the effusion as a constraint parameter of the stagnation zone model, taking the flow velocity mutation zone as an initialization parameter of the stagnation zone model, and outputting the stagnation zone of the effusion in the chest drainage tube through the stagnation zone model. The stagnation zone model is a stagnation zone model established by using a machine learning algorithm (such as a regression algorithm, a neural network, etc.). For example, the stagnation zone model is: stagnation zone = viscosity of the effusion * A + flow velocity mutation zone * B, wherein A and B are weight coefficients, A and B can be determined based on a large number of stagnation zones, and can also be determined in other ways in other embodiments, which are not limited here.

[0029] It should be noted that the stagnation zone in the present application refers to the area where the effusion in the chest drainage tube is stagnant during the flow process, that is, the effusion in this area adheres to the inner wall of the chest drainage tube, which can be used to analyze the blockage of the effusion in the chest drainage tube, and facilitate the smooth flow of the effusion during the sampling process.

[0030] In step 103, the amount of fluid loss in the pleural cavity during the drainage process is determined based on the negative pressure state of the chest drainage tube applied by the aspirator and the drainage time of the fluid extraction device.

[0031] In some embodiments, determining the amount of fluid loss in the pleural effusion during the drainage process based on the negative pressure state of the chest drainage tube by the aspirator and the drainage time of the effusion extraction device can be achieved by the following steps: determining a negative pressure state of the aspirator on the chest drainage tube; determining a negative pressure gain of the pressure in the chest drainage tube according to the negative pressure state; Obtaining the drainage time of the effusion extraction device; The amount of fluid loss during drainage of the pleural effusion is determined by the drainage time and the negative pressure gain.

[0032] In specific implementation, determining the negative pressure state of the chest drainage tube by the aspirator can be achieved in the following manner, namely: measuring the negative pressure value of the chest drainage tube by the aspirator during the drainage of the pleural effusion of the target patient by a negative pressure measuring instrument in the prior art, and taking the set of all measured negative pressure values ​​as the negative pressure state of the chest drainage tube by the aspirator, wherein the negative pressure state represents the state of the negative pressure value during the negative pressure process of the chest drainage tube by the aspirator; determining the negative pressure gain of the pressure in the chest drainage tube according to the negative pressure state can be achieved in the following manner, namely: dividing the maximum negative pressure value in the negative pressure state by the minimum negative pressure value, multiplying the value obtained by the division by the average value of all negative pressure values ​​in the negative pressure state, performing a logarithmic operation with a base of 10 on the multiplied value, and taking the value obtained by the logarithmic operation as the negative pressure gain of the pressure in the chest drainage tube, wherein the negative pressure gain represents the parameter value of the gain degree of the pressure in the chest drainage tube by the aspirator; in other embodiments, other methods can also be used for determination, which are not limited here.

[0033] In addition, in the specific implementation, the diameter and drainage time of the chest drainage tube are obtained from the database of the fluid extraction device, wherein the drainage time represents the time the fluid extraction device runs when draining the effusion; the amount of fluid loss when draining the pleural effusion by the drainage time and the negative pressure gain can be determined in the following manner, namely: multiplying the negative pressure gain by the diameter, performing a natural exponential operation on the multiplied value, multiplying the inverse of the value obtained by the natural exponential operation by the drainage time, and using the multiplied value as the amount of fluid loss when draining the pleural effusion; in other embodiments, other methods can also be used for determination, which are not limited here.

[0034] It should be noted that the amount of fluid loss in the present application represents a parameter value representing the degree of fluid loss when draining the pleural effusion, which can be used to compensate for the volume of fluid during the sampling process, thereby eliminating the impact of blockage in the chest drainage tube on the drainage volume of the effusion.

[0035] In step 104, a negative pressure fluctuation analysis is performed on the effusion in the chest drainage tube according to the stagnation zone and the effusion loss amount, so as to obtain a tolerance range of the negative pressure change of the chest drainage tube during the sampling process.

[0036] In some embodiments, the negative pressure fluctuation analysis of the effusion in the chest drainage tube is performed according to the stagnation zone and the effusion loss, and the tolerance interval of the negative pressure change of the chest drainage tube during the sampling process is obtained by the following steps: Obtaining a current negative pressure value of the aspirator on the chest drainage tube at the current moment; Determine the negative pressure influence interval of the effusion in the chest drainage tube according to the stagnation zone and the current negative pressure value; Predicting a fluctuation coefficient of the negative pressure in the chest drainage tube according to the effusion loss and the current negative pressure value; The tolerance range of the negative pressure change of the chest drainage tube during the sampling process is determined by the negative pressure influence range and the fluctuation coefficient.

[0037] In specific implementation, obtaining the current negative pressure value of the chest drainage tube applied by the aspirator at the current moment can be achieved in the following manner, namely: collecting the negative pressure value of the chest drainage tube applied by the aspirator at the current moment through a negative pressure sensor, and using the collected negative pressure value as the current negative pressure value, wherein the current negative pressure value represents the negative pressure value of the chest drainage tube applied by the aspirator at the current moment; determining the negative pressure influence interval of the effusion in the chest drainage tube according to the stagnation area and the current negative pressure value can be achieved in the following manner, namely: performing a natural exponential operation on the current negative pressure value, multiplying the reciprocal of the value obtained by the exponential operation by the stagnation area, and using the interval obtained by the multiplication as the negative pressure influence interval of the effusion in the chest drainage tube, wherein the negative pressure influence interval represents the interval that has an influence when negative pressure is applied to the chest drainage tube, and can be used to judge the negative pressure condition of the chest drainage tube; in other embodiments, other methods can also be used for determination, which are not limited here.

[0038] In specific implementation, predicting the fluctuation coefficient of the negative pressure in the chest drainage tube according to the effusion loss amount and the current negative pressure value can be achieved in the following manner, namely: dividing the effusion loss amount by the current negative pressure value, performing a tangent operation on the value obtained by the division, and using the value obtained by the tangent operation as the fluctuation coefficient of the negative pressure in the chest drainage tube, wherein the fluctuation coefficient represents a parameter of the degree of fluctuation of the negative pressure in the chest drainage tube; determining the tolerance interval of the negative pressure change of the chest drainage tube during the sampling process through the negative pressure influence interval and the fluctuation coefficient can be achieved in the following manner, namely: initializing a tolerance interval model, and using the fluctuation coefficient As a constraint parameter of the tolerance interval model, the negative pressure influence interval is used as the initialization parameter of the tolerance interval model. The tolerance interval of the negative pressure change of the chest drainage tube during the sampling process is output through the tolerance interval model. The tolerance interval model is an interval model of the tolerance interval established by a machine learning algorithm (such as a regression algorithm, a neural network, etc.). The interval model is, for example: tolerance interval = fluctuation coefficient * C + negative pressure influence interval * D, wherein C and D are weight coefficients, C and D can be determined based on a large number of tolerance intervals, and can also be determined in other ways in other embodiments, which are not limited here.

[0039] It should be noted that the tolerance interval in the present application represents the range of the error degree of negative pressure when the negative pressure of the chest drainage tube changes during the sampling process, which can be used to adjust the negative pressure effect in the chest drainage tube, and can reduce the impact of blockage in the chest drainage tube on sampling.

[0040] In step 105, the effusion extraction device is controlled to sample the effusion in the pleural cavity of the target patient according to the tolerance interval of the negative pressure change.

[0041] In some embodiments, the following steps may be used to control the effusion extraction device to sample the effusion in the pleural cavity of the target patient according to the tolerance interval of the negative pressure change, namely: Determining negative pressure control information of the effusion extraction device; adjusting the negative pressure control information according to the tolerance interval of the negative pressure change to obtain new negative pressure control information; The negative pressure condition of the effusion extraction device when sampling the effusion in the pleural cavity of the target patient is controlled by the new negative pressure control information.

[0042] In a specific implementation, negative pressure control information of the effusion extraction device is extracted from the database of the effusion extraction device, wherein the negative pressure control information represents the control information of the effusion extraction device on the negative pressure in the chest drainage tube when performing effusion extraction, and the negative pressure control information includes a negative pressure size control model, a negative pressure adjustment model, a negative pressure time model, etc.; the negative pressure control information is adjusted according to the tolerance interval of the negative pressure change, and the new negative pressure control information can be implemented in the following manner, namely: the model in the negative pressure control information is adjusted by a model fine-tuning method (such as: Adapter Tuning, Prefix Tuning) in combination with the tolerance interval of the negative pressure change, and the adjusted negative pressure control information is used as the new negative pressure control information, and the negative pressure of the effusion extraction device when sampling the effusion in the chest cavity of the target patient is controlled by the new negative pressure control information, and the sampling of the effusion in the chest cavity of the target patient is completed.

[0043] In addition, in another aspect of the present application, in some embodiments, the present application provides an endocrine effusion sampling system, the system comprising an effusion extraction device and a sampling control unit, the effusion extraction device comprising a chest drainage tube and an aspirator, wherein the chest drainage tube is used to drain the effusion in the chest cavity, and the aspirator is used to provide negative pressure to the chest drainage tube, reference Figure 4 , which is a schematic diagram of the structure of a sampling control unit according to some embodiments of the present application, the sampling control unit 400 includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows: The acquisition module 401 in the present application is mainly used to automatically acquire the pressure of each monitoring point through a pressure sensor after multiple pressure monitoring points are arranged on the chest drainage tube; Processing module 402, in the present application, the processing module 402 is used to perform a difference analysis on the flow rate of the effusion in the chest drainage tube according to the pressure difference characteristics of all pressures collected by the pressure sensor, obtain a change gradient of the flow rate of the effusion in the chest drainage tube, and determine a stagnation zone of the effusion in the chest drainage tube by the change gradient of the flow rate and the viscosity of the effusion in the chest drainage tube; It should be noted that the processing module 402 in the present application is also used to determine the amount of fluid loss in the pleural cavity during the drainage process based on the negative pressure state of the chest drainage tube applied by the aspirator and the drainage time of the fluid extraction device; In addition, it should be noted that the processing module 402 in the present application is also used to perform negative pressure fluctuation analysis on the effusion in the chest drainage tube according to the stagnation area and the effusion loss amount, and obtain a tolerance interval of negative pressure change of the chest drainage tube during sampling; The execution module 403 in the present application is mainly used to control the fluid extraction device to sample the fluid in the pleural cavity of the target patient according to the tolerance interval of the negative pressure change.

[0044] In addition, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned endocrine effusion sampling method.

[0045] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing the endocrine effusion sampling method according to some embodiments of the present application. The endocrine effusion sampling method in the above embodiment can be Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0046] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0047] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0048] The memory 503 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0049] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0050] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0051] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0052] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0053] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned endocrine effusion sampling method is implemented.

[0054] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0055] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for sampling endocrine effusion, wherein a effusion extraction device is used to sample effusion from a target patient, wherein the effusion extraction device comprises a chest drainage tube and an aspirator, wherein the chest drainage tube is used to drain effusion in the chest cavity, and the aspirator is used to provide negative pressure to the chest drainage tube, wherein: The method comprises the following steps: Arrange multiple pressure monitoring points on the chest drainage tube, and automatically collect the pressure of each monitoring point through a pressure sensor; Performing a difference analysis on the flow velocity of the effusion in the chest drainage tube according to the pressure difference characteristics of all pressures collected by the pressure sensor to obtain a change gradient of the flow velocity of the effusion in the chest drainage tube, and determining a stagnation area of ​​the effusion in the chest drainage tube according to the change gradient of the flow velocity and the viscosity of the effusion in the chest drainage tube; Determining the amount of fluid loss in the pleural cavity during the drainage process based on the negative pressure state of the chest drainage tube applied by the aspirator and the drainage time of the fluid extraction device; performing a negative pressure fluctuation analysis on the effusion in the chest drainage tube according to the stagnation zone and the effusion loss amount, and obtaining a tolerance interval of the negative pressure change of the chest drainage tube during the sampling process; The fluid extraction device is controlled according to the tolerance interval of the negative pressure change to sample the fluid in the pleural cavity of the target patient.

2. The method according to claim 1, characterized in that The flow rate of the effusion in the chest drainage tube is analyzed according to the pressure difference characteristics of all pressures collected by the pressure sensor to obtain the change gradient of the flow rate of the effusion in the chest drainage tube, which specifically includes: Determine the pressure differential characteristics of all pressures; Determining a plurality of flow rate differences of the effusion in the chest drainage tube according to the pressure difference characteristic; The change gradient of the flow velocity of the effusion in the chest drainage tube is determined by all flow velocity differences.

3. The method according to claim 1, characterized in that Determining the stagnant area of ​​the effusion in the chest drainage tube by the change gradient of the flow rate and the viscosity of the effusion in the chest drainage tube specifically includes: determining the viscosity of the fluid in the chest drainage tube; Determining a sudden change area of ​​flow velocity of the effusion in the chest drainage tube according to the change gradient of the flow velocity; The stagnant area of ​​the effusion in the chest drainage tube is determined by the flow rate mutation area and the viscosity of the effusion.

4. The method according to claim 1, characterized in that Determining the amount of fluid loss in the pleural effusion during the drainage process based on the negative pressure state of the pleural drainage tube by the aspirator and the drainage time of the effusion extraction device specifically includes: determining a negative pressure state of the aspirator on the chest drainage tube; determining a negative pressure gain of the pressure in the chest drainage tube according to the negative pressure state; Obtaining the drainage time of the effusion extraction device; The amount of fluid loss during drainage of the pleural effusion is determined by the drainage time and the negative pressure gain.

5. The method according to claim 1, characterized in that The negative pressure fluctuation analysis of the effusion in the chest drainage tube is performed according to the stagnation area and the effusion loss amount, and the tolerance range of the negative pressure change of the chest drainage tube during the sampling process is obtained, which specifically includes: Obtaining a current negative pressure value of the aspirator on the chest drainage tube at the current moment; Determine the negative pressure influence interval of the effusion in the chest drainage tube according to the stagnation zone and the current negative pressure value; Predicting a fluctuation coefficient of the negative pressure in the chest drainage tube according to the effusion loss and the current negative pressure value; The tolerance range of the negative pressure change of the chest drainage tube during the sampling process is determined by the negative pressure influence range and the fluctuation coefficient.

6. The method according to claim 1, characterized in that Controlling the effusion extraction device to sample the effusion in the pleural cavity of the target patient according to the tolerance interval of the negative pressure change specifically includes: Determining negative pressure control information of the effusion extraction device; adjusting the negative pressure control information according to the tolerance interval of the negative pressure change to obtain new negative pressure control information; The negative pressure condition of the effusion extraction device when sampling the effusion in the pleural cavity of the target patient is controlled by the new negative pressure control information.

7. The method according to claim 1, characterized in that The viscosity of the effusion in the chest drainage tube is collected by a viscosity sensor.

8. An endocrine effusion sampling system, characterized in that: The system includes a fluid extraction device and a sampling control unit, wherein the fluid extraction device includes a chest drainage tube and an aspirator, and the sampling control unit includes: A collection module, used for automatically collecting the pressure of each monitoring point through a pressure sensor after multiple pressure monitoring points are arranged on the chest drainage tube; a processing module, configured to perform a difference analysis on the flow velocity of the effusion in the chest drainage tube according to the pressure difference characteristics of all pressures collected by the pressure sensor, obtain a change gradient of the flow velocity of the effusion in the chest drainage tube, and determine a stagnation zone of the effusion in the chest drainage tube according to the change gradient of the flow velocity and the viscosity of the effusion in the chest drainage tube; The processing module is further used to determine the amount of fluid loss in the pleural cavity during the drainage process based on the negative pressure state of the chest drainage tube applied by the aspirator and the drainage time of the fluid extraction device; The processing module is further used to perform negative pressure fluctuation analysis on the effusion in the chest drainage tube according to the stagnation area and the effusion loss amount, so as to obtain a tolerance range of negative pressure change of the chest drainage tube during sampling; An execution module is used to control the fluid extraction device to sample the fluid in the pleural cavity of the target patient according to the tolerance interval of the negative pressure change.

9. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the endocrine effusion sampling method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the endocrine effusion sampling method according to any one of claims 1 to 7 is implemented.

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