Intelligent bile flow monitoring T tube

Abstract

The invention relates to the technical field of medical instruments, in particular to an intelligent bile flow monitoring T tube which comprises a microprocessor and a T tube body, a pressure sensor is arranged in the T tube body, the T tube body is formed by communicating a transverse tube and a longitudinal tube, the two ends of the transverse tube are close to the bile duct and the intestinal tract of the liver respectively, and drainage is conducted to the outside from the end of the longitudinal tube. A first flow sensor is arranged on the transverse tube close to the liver bile duct to measure the total flow of bile, a second flow sensor is arranged close to the intestinal tract to measure the amount of bile flowing into the intestinal tract, and a third flow sensor is arranged in the longitudinal tube to measure the flow of bile discharged out of the body. The microprocessor collects and analyzes sensor data through the information collecting and processing module so as to calculate bile flow and pressure, and judges the bile flow direction condition when the third flow sensor data is abnormal. The bile monitoring precision can be improved, in-vitro drainage amount abnormity can be quickly diagnosed, the postoperative management efficiency is enhanced, the complication risk is reduced, the postoperative safety of a patient is improved, and the function and reliability of a bile drainage system are improved by means of an innovative technology.

Description

Technical Field

[0001] The invention relates to the technical field of medical devices, and in particular to an intelligent bile flow monitoring T-tube. Background Art

[0002] In the complex and crucial medical process of postoperative management of liver transplantation, bile drainage undoubtedly occupies a key position, and its effect is directly related to the patient's postoperative recovery process and the overall treatment effect. However, at present, the traditional bile drainage method has exposed many significant problems and shortcomings. These defects have brought considerable challenges to the medical team in actual clinical applications, which are mainly reflected in the following key aspects:

[0003] There are serious deficiencies in monitoring the total amount of bile secretion. In the critical period after surgery, doctors need to accurately grasp the dynamics of bile secretion in order to comprehensively evaluate the functional state of the liver and the overall physiological metabolism. Unfortunately, the existing bile drainage technology is inadequate in this regard and lacks the ability to monitor the total amount of bile secretion in real time and accurately.

[0004] It is difficult to detect changes in bile duct pressure. The stability of bile duct pressure is one of the key indicators to measure the patency of the bile duct and the normal function of the liver. Any abnormal fluctuations in bile duct pressure may indicate potential pathological changes, such as bile duct stenosis, stone formation, liver dysfunction or rejection, and other serious problems.

[0005] It is extremely difficult to judge abnormal extracorporeal drainage volume. During bile drainage, the stability of extracorporeal drainage bile volume is an important window to reflect the functional status of the patient's biliary system and liver. When the extracorporeal drainage bile volume suddenly decreases, it is crucial to accurately judge the reasons behind it. However, the existing bile drainage system often seems powerless in the face of this situation. Because the reduction in bile volume may be caused by the combined action of multiple complex factors, such as bile duct obstruction that blocks bile excretion, liver rejection that affects the normal secretion and excretion function of bile, or bile no longer being discharged through the drainage tube but flowing into the intestine. This delay in diagnosis may lead to unnecessary deterioration of the patient's condition and cause a series of serious complications, such as cholestatic cirrhosis, cholangitis, etc., which pose a great threat to the patient's life and health, and also increase the patient's pain and medical costs.

[0006] The Chinese utility model patent with publication number CN208852091U discloses a medical bile drainage pressure flow monitoring and control device, which only focuses on common bile duct pressure monitoring and simple bile drainage control, and does not conduct such refined, staged multi-point monitoring of bile flow, and cannot provide medical staff with detailed flow information of bile at each key node of the entire drainage path, which is not conducive to in-depth analysis of the patient's liver secretion function, bile excretion path patency, intestinal absorption and other physiological states. When facing complex disease diagnosis, the information support is insufficient. There is a lack of similar intelligent diagnosis functions based on multi-sensor data fusion and combined with medical principles, and it is impossible to automatically identify bile drainage abnormalities caused by potential diseases such as bile ducts and livers. It relies more on medical staff to manually observe the pressure and drainage conditions and make empirical judgments, which is easy to delay the diagnosis of the disease, especially at night or when medical staff are busy, and it is difficult to detect subtle abnormal changes in time.

[0007] How to solve the above problems has become a research direction. Summary of the invention

[0008] The purpose of the present invention is to solve the following technical problems in the existing bile drainage system:

[0009] Real-time monitoring of total bile secretion: Existing technology cannot provide real-time data on total bile secretion, which affects postoperative management.

[0010] Detection of bile duct pressure changes: Lack of real-time pressure monitoring makes it difficult to detect bile duct patency problems in a timely manner.

[0011] Rapidly determine the cause of abnormal extracorporeal drainage volume: When the extracorporeal drainage volume decreases, it is impossible to quickly determine whether it is due to bile duct obstruction, liver rejection, or bile flowing into the intestine. An intelligent bile flow monitoring T-tube is provided.

[0012] To solve the above technical problems, the technical solution provided by the present invention is: an intelligent bile flow monitoring T-tube, comprising a microprocessor and a T-tube body, wherein a pressure sensor is integrated in the T-tube body, the T-tube body is composed of a transverse tube and a longitudinal tube perpendicular to the transverse tube, the transverse tube and the longitudinal tube are connected, one end of the transverse tube is close to the liver bile duct, and the other end is close to the intestine, the end of the longitudinal tube away from the transverse tube is the end drained to the outside of the body, a first flow sensor for measuring the total bile flow is arranged on the inner side of the end of the transverse tube close to the liver bile duct, a second flow sensor for measuring the amount of bile flowing into the intestine is arranged on the inner side of the end of the transverse tube close to the intestine, a third flow sensor for measuring the amount of bile discharged from the body is arranged in the longitudinal tube, the microprocessor collects data from the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor, and calculates the bile flow and pressure in real time, when the microprocessor receives the data from the third flow sensor that the bile flow discharged from the body is reduced, the microprocessor analyzes the amount of bile flowing into the intestine transmitted by the second flow sensor, and judges that the bile flows into the intestine if the amount of bile flowing into the intestine increases, and judges that the bile flows into the intestine if the amount of bile flowing into the intestine decreases, and judges that the bile duct is blocked or the liver is rejected.

[0013] As a preferred solution, the microprocessor is provided with an information collection module, an information processing module and an information output module.

[0014] As a preferred solution, the information collection module collects data from the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor.

[0015] As a preferred solution, the information processing module calculates the bile flow and pressure in real time. When the microprocessor receives the information from the third flow sensor that the bile flow discharged from the body is reduced, the microprocessor analyzes the amount of bile flowing into the intestine transmitted by the second flow sensor. If the amount of bile flowing into the intestine increases, it is judged that bile flows into the intestine; if the amount of bile flowing into the intestine decreases, it is judged that the bile duct is blocked or the liver is rejected.

[0016] As a preferred solution, the microprocessor is provided with a wireless communication module for transmitting information about bile flowing into the intestine, bile duct blockage or liver rejection to the medical monitoring device, and the information output module outputs the information processed by the information processing module to the wireless communication module.

[0017] As a preferred solution, the wireless communication module is a 5G communication module.

[0018] As a preferred solution, the medical monitoring device is provided with a display screen.

[0019] As a preferred solution, the information processing module has a built-in flow and pressure real-time calculation sub-module, which uses an adaptive filtering algorithm to reduce the noise of the original data transmitted by the sensor, removes interference noise in the signal transmission process, and improves the purity of the data; uses a state estimation method based on Kalman filtering, combined with the physical properties of the T-tube and the dynamic model of bile flow, to construct a real-time estimation equation for bile flow and pressure, and based on the data transmitted by the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor, the bile flow and biliary pressure are updated and calculated at preset time intervals to ensure the real-time and accuracy of the data.

[0020] The present invention has the following advantages: It can improve monitoring accuracy: It can monitor the total amount of bile secretion and bile duct pressure in real time, and provide accurate data support. It provides rapid diagnostic capabilities: When the amount of extracorporeal drainage is abnormal, it can quickly determine the cause, reducing misdiagnosis and delays. It enhances postoperative management: Through real-time data and alarm systems, it improves postoperative management efficiency and reduces the risk of complications. It improves patient safety: Timely detection and treatment of bile duct obstruction or liver rejection reactions improves patient safety after surgery. Through innovative sensor configuration and data analysis technology, the function and reliability of existing bile drainage systems are significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0022] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0023] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0024] In the description of the embodiments of the present invention, if a feature is referred to as being "set", "fixed", "connected", or "installed" on another feature, it may be directly set, fixed, or connected to the other feature, or it may be indirectly set, fixed, connected, or installed on the other feature. In the description of the embodiments of the present invention, if "several" is involved, it means more than one, if "multiple" is involved, it means more than two, if "greater than", "less than", or "exceeds" is involved, it should be understood as not including the number itself, and if "above", "below", or "within" is involved, it should be understood as including the number itself. If "first" or "second" is involved, it should be understood as being used to distinguish technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0025] To facilitate understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings.

[0026] The preferred embodiments of the present invention are shown in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0027] Example

[0028] Combined with Figure 1 , the direction of the arrow in the figure represents the bile flow direction, an intelligent bile flow monitoring T-tube, including a microprocessor 200 and a T-tube body 100, wherein a pressure sensor is integrated in the T-tube body, the T-tube body is composed of a transverse tube 101 and a longitudinal tube 102 perpendicular to the transverse tube, the transverse tube and the longitudinal tube are connected, one end of the transverse tube is close to the liver bile duct, and the other end is close to the intestine, the end of the longitudinal tube away from the transverse tube is the end drained to the outside of the body, the end of the transverse tube close to the liver bile duct is provided with a first flow sensor 1021 for measuring the total bile flow, and the end of the transverse tube close to the intestine is provided with a A second flow sensor 1022 for measuring the amount of bile flowing into the intestine, a third flow sensor 1013 for measuring the flow of bile discharged from the body is arranged in the longitudinal tube, the microprocessor collects data from the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor, and calculates the bile flow and pressure in real time. When the microprocessor receives data from the third flow sensor indicating that the flow of bile discharged from the body is reduced, the microprocessor analyzes the amount of bile flowing into the intestine transmitted by the second flow sensor, and determines that bile flows into the intestine if the amount of bile flowing into the intestine increases; and determines that the bile flows into the intestine if the amount of bile flowing into the intestine decreases, and determines that the bile duct is blocked or the liver rejects it.

[0029] As a preferred implementation scheme of this embodiment, the microprocessor is provided with an information collection module 201, an information processing module 202, and an information output module 204.

[0030] As a preferred implementation scheme of this embodiment, the information collection module collects data from the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor.

[0031] As a preferred implementation scheme of this embodiment, the information processing module calculates the bile flow and pressure in real time. When the microprocessor receives the information from the third flow sensor that the bile flow discharged from the body is reduced, the microprocessor analyzes the amount of bile flowing into the intestine transmitted by the second flow sensor. If the amount of bile flowing into the intestine increases, it is judged that bile flows into the intestine. If the amount of bile flowing into the intestine decreases, it is judged that the bile duct is blocked or the liver is rejected.

[0032] As a preferred implementation scheme of this embodiment, the microprocessor is provided with a wireless communication module 203 which transmits information of bile flowing into the intestine, bile duct blockage or liver rejection to the medical monitoring device, and the information output module outputs the information processed by the information processing module to the wireless communication module.

[0033] As a preferred implementation scheme of this embodiment, the wireless communication module is a 5G communication module.

[0034] As a preferred implementation scheme of this embodiment, the medical monitoring device is provided with a display screen.

[0035] As a preferred implementation scheme of this embodiment, the information processing module has a built-in flow and pressure real-time calculation sub-module, which uses an adaptive filtering algorithm to perform noise reduction processing on the original data transmitted by the sensor, removes interference noise in the signal transmission process, and improves the purity of the data; uses a state estimation method based on Kalman filtering, combined with the physical properties of the T-tube and the dynamic model of bile flow, to construct a real-time estimation equation for bile flow and pressure, and based on the data transmitted by the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor, the bile flow and bile duct pressure are updated and calculated at preset time intervals to ensure the real-time and accuracy of the data.

[0036] In the specific implementation of the present invention, the pressure sensor: MPS20N0040D series pressure sensor is selected. This type of sensor has the characteristics of high precision and high sensitivity, can accurately sense tiny pressure changes in the bile duct, and the measurement accuracy can reach ±0.1mmHg, which meets the strict clinical requirements for pressure monitoring during bile drainage. Its compact structural design is also convenient for integration into the T-tube body without taking up too much extra space.

[0037] The first flow sensor (for measuring the total bile flow): uses the MF5700 series micro-flow sensor, which has a flow measurement range of 0-100ml / min and a resolution of up to 0.1ml / min. It can accurately measure the total bile flow out of the liver bile duct, providing reliable data for understanding the initial situation of bile secretion by the liver. The sensor has a fast response speed and can track the dynamic changes of bile flow in real time.

[0038] Second flow sensor (for measuring the amount of bile flowing into the intestine): It is recommended to use the FS4002 flow sensor with a measuring range of 0-50ml / min and an accuracy within ±2% FS. It is suitable for monitoring the relatively low flow of bile in the transverse tube near the end of the intestine, ensuring real-time and accurate monitoring of the amount of bile flowing into the intestine, and facilitating subsequent intelligent analysis and judgment.

[0039] The third flow sensor (for measuring the flow of bile discharged from the body): the SLQ-100 liquid flow sensor is selected, with a measuring range of 0-200ml / min, good linearity and repeatability, and can stably and accurately measure the flow of bile discharged from the body in the longitudinal tube, providing key data support for the entire bile drainage monitoring system.

[0040] Microprocessor: The STM32F407 series microprocessor is selected, which has a powerful core, a main operating frequency of up to 168MHz, and a rich peripheral interface, which is convenient for connecting with various sensors and wireless communication modules. The information collection module 201, the information processing module 202, and the information output module 204 can realize their respective functions through software programming based on the hardware resources of the microprocessor. Among them, the information collection module 201 uses its built-in ADC (analog-to-digital converter) channel to perform high-speed acquisition and conversion of analog signals from the sensor; the information processing module 202 relies on the high-performance computing capability of the microprocessor to run the above-mentioned adaptive filtering algorithm, Kalman filtering algorithm and other complex algorithm programs to realize real-time and accurate calculation of bile flow and pressure and intelligent analysis and judgment; the information output module 204 transmits the processed information to the wireless communication module in a predetermined format.

[0041] Wireless communication module: It uses Huawei's 5G module MH5000, which supports 5GNR independent networking (SA) and non-independent networking (NSA) modes. It can ensure the high speed, stability and low latency of data transmission in medical environments, and transmit key information such as bile flowing into the intestine, bile duct blockage or liver rejection determined by the microprocessor to medical monitoring equipment in real time, ensuring that medical staff can obtain the patient's bile drainage status at the first time.

[0042] Medical monitoring equipment display: Dell P2419H medical display is selected, which has a 23.8-inch full HD IPS screen with clear display and accurate color reproduction. It can intuitively present bile drainage-related information received from the wireless communication module to medical staff, allowing them to view it in time and take appropriate diagnosis and treatment measures accordingly.

[0043] The intelligent bile flow monitoring T-tube mainly relies on a microprocessor and sensors integrated in key parts of the T-tube body to realize its functions. The T-tube body is composed of a transverse tube and a longitudinal tube. The special layout of the transverse tube makes one end close to the liver bile duct for monitoring the outflow source of bile, and the other end close to the intestine to monitor the bile flowing into the intestine. The longitudinal tube is responsible for draining the bile out of the body, which is convenient for medical staff to observe and collect bile samples and other operations.

[0044] During bile drainage, the first flow sensor on the inside of the transverse tube near the end of the liver bile duct can accurately measure the total flow of bile, which provides key data for understanding the initial situation of bile secretion by the liver. At the same time, the second flow sensor on the inside of the transverse tube near the intestinal end can monitor the amount of bile flowing into the intestine in real time, while the third flow sensor in the longitudinal tube focuses on measuring the flow of bile discharged from the body. In addition, the pressure sensor integrated in the T-tube body can continuously sense the pressure changes in the bile duct and transmit these pressure data to the microprocessor.

[0045] The information collection module in the microprocessor continuously collects data from the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor, and transmits the data to the information processing module. The information processing module calculates the changes in bile flow and pressure in real time according to the preset algorithm and program. When the microprocessor receives the signal from the third flow sensor that the bile flow discharged from the body is reduced, the intelligent analysis process is immediately started. It will quickly retrieve the data of the second flow sensor to analyze the changes in the amount of bile flowing into the intestine. If the amount of bile flowing into the intestine increases, based on the principle of conservation of total bile volume, the microprocessor can judge it as a normal physiological phenomenon of bile flowing into the intestine; if the amount of bile flowing into the intestine decreases, combined with clinical experience and medical logic, the microprocessor will judge that there may be abnormal conditions such as bile duct obstruction or liver rejection, because bile duct obstruction will hinder the normal excretion path of bile, and liver rejection may affect the normal bile secretion function of the liver, thereby causing abnormal changes in bile flow in various parts.

[0046] The information processing module has a built-in flow and pressure real-time calculation submodule, which is specifically implemented as follows: by using an adaptive filtering algorithm to reduce the noise of the original data transmitted by the sensor, the interference noise in the signal transmission process is removed to improve the purity of the data; using the state estimation method based on Kalman filtering, combined with the physical characteristics of the T-tube and the dynamic model of bile flow, a real-time estimation equation for bile flow and pressure is constructed. According to the data transmitted by each sensor and the preset mathematical model, the bile flow and bile duct pressure are updated and calculated at preset time intervals (such as 1 second) to ensure the real-time and accuracy of the data;

[0047] When the information processing module receives the bile flow reduction signal from the third flow sensor through the information collection module, the intelligent analysis submodule is immediately activated, and the submodule quickly retrieves the data of the second flow sensor and completes the data comparison and analysis within a preset time threshold (such as 0.5 seconds). The specific process is as follows:

[0048] First, the sliding window mean algorithm is used to smooth the data of the amount of bile flowing into the intestine in the previous time period (such as the past 5 minutes, with 1 minute as a time window) to reduce the impact of accidental fluctuations in the data;

[0049] If the amount of bile flowing into the intestine increases compared to the previous time period, and the increase is in line with the threshold interval set based on the normal physiological excretion fluctuation range of bile, combined with the principle of conservation of total bile volume, it is determined that the bile flowing into the intestine is a normal physiological phenomenon;

[0050] If the amount of bile flowing into the intestine decreases compared to the previous time period, and the reduction exceeds the threshold interval set based on the normal physiological excretion fluctuation range of bile, based on a pre-stored clinical database covering a variety of common causes and corresponding bile flow characteristics, the clinical database is constructed using multi-source data fusion technology, integrating authoritative medical literature, large-scale clinical case data and expert experience knowledge to form a structured knowledge graph, combined with medical logic, to judge the presence of abnormal conditions such as bile duct obstruction or liver rejection, wherein the clinical database is regularly updated and optimized based on the latest medical research results and clinical practice feedback, and the update method uses an incremental learning algorithm, which can quickly integrate new data without affecting the stability of the original knowledge structure;

[0051] Once the microprocessor makes a judgment that bile is flowing into the intestine, the bile duct is blocked, or the liver rejects it, the wireless communication module installed on it (using 5G communication technology to ensure the high speed and stability of data transmission) will instantly transmit these key information to the medical monitoring device. The display screen on the medical monitoring device will intuitively display this information, allowing medical staff to understand the real-time status of the patient's bile drainage and possible abnormalities at the first time, so that they can take corresponding diagnostic and treatment measures in time, such as further examination, adjustment of drug treatment plan or surgical intervention, etc., thereby providing more accurate and efficient medical protection for the rehabilitation of patients after liver transplantation, greatly improving the timeliness and effectiveness of postoperative management, and reducing the risk of serious complications caused by abnormal bile drainage in patients.

[0052] The technical features of the above-described embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-described embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. The above-described embodiments only express several implementation methods of the present invention, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present invention, several variations and improvements can be made, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. An intelligent bile flow monitoring T-tube, characterized in that: The invention comprises a microprocessor and a T-tube body, wherein a pressure sensor is integrated in the T-tube body, the T-tube body is composed of a transverse tube and a longitudinal tube perpendicular to the transverse tube, the transverse tube and the longitudinal tube are connected, one end of the transverse tube is close to the liver bile duct, and the other end is close to the intestine, the end of the longitudinal tube away from the transverse tube is the end for drainage outside the body, a first flow sensor for measuring the total bile flow is arranged on the inner side of the end of the transverse tube close to the liver bile duct, a second flow sensor for measuring the amount of bile flowing into the intestine is arranged on the inner side of the end of the transverse tube close to the intestine, a third flow sensor for measuring the amount of bile discharged from the body is arranged in the longitudinal tube, the microprocessor collects data from the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor, and calculates the bile flow and pressure in real time, when the microprocessor receives data from the third flow sensor that the bile flow discharged from the body is reduced, the microprocessor analyzes the amount of bile flowing into the intestine transmitted by the second flow sensor, and judges that the bile flows into the intestine if the amount of bile flowing into the intestine increases, and judges that the bile flows into the intestine if the amount of bile flowing into the intestine decreases.

2. The intelligent bile flow monitoring T-tube according to claim 1, characterized in that: The microprocessor is provided with an information collection module, an information processing module and an information output module.

3. The intelligent bile flow monitoring T-tube according to claim 2, characterized in that: The information collection module collects data from the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor.

4. The intelligent bile flow monitoring T-tube according to claim 2, characterized in that: The information processing module calculates the bile flow and pressure in real time. When the microprocessor receives the information from the third flow sensor that the bile flow discharged from the body is reduced, the microprocessor analyzes the amount of bile flowing into the intestine transmitted by the second flow sensor. If the amount of bile flowing into the intestine increases, it is judged that bile flows into the intestine. If the amount of bile flowing into the intestine decreases, it is judged that the bile duct is blocked or the liver is rejected.

5. The intelligent bile flow monitoring T-tube according to claim 4, characterized in that: The microprocessor is provided with a wireless communication module for transmitting information of bile flowing into the intestine, bile duct obstruction or liver rejection to the medical monitoring device, and the information output module outputs the information processed by the information processing module to the wireless communication module.

6. The intelligent bile flow monitoring T-tube according to claim 5, characterized in that: The wireless communication module is a 5G communication module.

7. The intelligent bile flow monitoring T-tube according to claim 6, characterized in that: The medical monitoring device is provided with a display screen.

8. The intelligent bile flow monitoring T-tube according to claim 7, characterized in that: The information processing module has a built-in flow and pressure real-time calculation sub-module, which uses an adaptive filtering algorithm to reduce the noise of the original data transmitted by the sensor, removes interference noise in the signal transmission process, and improves the purity of the data; uses a state estimation method based on Kalman filtering, combined with the physical characteristics of the T-tube and the dynamic model of bile flow, to construct a real-time estimation equation for bile flow and pressure. Based on the data transmitted by the pressure sensor, the first flow sensor, the second flow sensor, and the third flow sensor, the bile flow and biliary pressure are updated and calculated at preset time intervals to ensure the real-time and accuracy of the data.

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