Enteral nutrition feeding device, system and method for small intestine stoma

Abstract

The invention provides a small intestine stoma enteral nutrition feeding device, system and method, and the device comprises a feeding device body which is in a nipple shape, and the bottom of the feeding device body is provided with at least one nutrient solution outlet; the fixing assembly is arranged on the feeding device body and used for fixing the feeding device body to the small intestine stoma; the nutrient solution conveying assembly is arranged on the feeding device body and used for conveying the nutrient solution to the nutrient solution outlet from the outside. According to the feeding device, firstly, the feeding device body is placed at the stoma of the small intestine and stably fixed through the fixing assembly, and therefore enteral nutrition backflow caused by device moving or falling off in the feeding process is avoided. Through the nutrient solution conveying assembly, the conveying speed and amount of the nutrient solution can be accurately controlled, it is ensured that the patient obtains a proper amount of nutrient support, and the situation that the patient absorbs nutrition poorly due to abdominal cavity infection, intestinal adhesion and other problems in the operation is prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of medical auxiliary devices, and particularly to a small intestine stoma enteral nutrition feeding device, system and method. Background Art

[0002] Among patients with damaged small intestines, especially those who still have intestinal fistulas after multiple surgeries, some patients are unable to perform primary intestinal anastomosis due to severe intra-abdominal infections, adhesions, and intestinal edema during the operation. It is even difficult to identify the damaged site and the distal intestinal tube, and a double-lumen stoma of the proximal and distal small intestines needs to be performed. Among these patients, some have a short proximal small intestine and are prone to electrolyte disorders and malnutrition after surgery. Given that the distal part of the small intestine and the intact large intestine are still retained in these patients, we consider injecting appropriate enteral nutrition preparations into the distal stoma to make full use of the absorption capacity of the distal small intestine and large intestine for some nutrients and electrolytes, so as to correct or improve electrolyte disorders and malnutrition. At the same time, this also helps prevent disuse changes in the distal intestinal tube due to long-term non-use, and is beneficial to reducing the occurrence of complications such as diarrhea after the second-stage intestinal repositioning. For enteral nutrition feeding of the proximal gastrointestinal tract, we usually use nasoenteral nutrition tubes or jejunostomy tubes. However, it is relatively rare to feed enteral nutrition into the distal stoma of the double-lumen stoma, and there is a lack of specialized devices. Since the length of the remaining distal small intestine is usually short, in order to make full use of the remaining intestinal tube, the feeding device cannot penetrate deep into the intestine like a nasoenteral nutrition tube. At the same time, because the stoma is an open opening, if the feeding tube is placed too shallow, the enteral nutrition preparation is prone to reflux. Therefore, in order to simultaneously meet the function of making full use of the remaining intestine, reduce the reflux waste of enteral nutrition, and facilitate self-feeding by patients, the present invention designs this small intestine stoma enteral nutrition feeding device. Summary of the Invention

[0003] In order to solve the technical problem that some patients in the prior art have intra-abdominal infections during the operation, the present invention provides the following technical solutions:

[0004] On the one hand, a small intestine stoma enteral nutrition feeding device is provided, and the device includes:

[0005] A feeding device body, which is in the shape of a nipple and has at least one nutrient solution outlet at the bottom;

[0006] A fixing component, which is arranged on the feeding device body and is used to fix the feeding device body at the small intestine stoma;

[0007] A nutrient solution delivery component, which is arranged on the feeding device body and is used to deliver the nutrient solution from the outside to the nutrient solution outlet.

[0008] As an optional embodiment of the present invention, optionally, the fixing component includes:

[0009] An air-filled balloon, arranged on the main body of the feeding device;

[0010] An air filling tube, arranged on the main body of the feeding device and communicated with the air-filled balloon;

[0011] An air balloon control valve, arranged on the air filling tube, used for controlling the inflation and deflation of the air-filled balloon and adjusting the fixing tightness of the main body of the feeding device at the small intestine stoma.

[0012] As an optional embodiment of the present invention, optionally, the nutrient solution delivery assembly includes:

[0013] A nutrient solution storage bladder, used for storing nutrient solution;

[0014] A delivery pump, connected to the nutrient solution storage bladder;

[0015] A delivery tube, one end of which is connected to the delivery pump and the other end is connected to the nutrient solution outlet.

[0016] On the other hand, the present invention also provides a small intestine stoma enteral nutrition feeding system, the system includes a small intestine stoma enteral nutrition feeding device; the system further includes:

[0017] A blood oxygen detection module, used for detecting the blood oxygen concentration at the small intestine stoma and judging whether the blood oxygen concentration is within the normal range;

[0018] A delivery tube status monitoring module, used for real-time monitoring of the status data of the delivery tube, including whether the delivery tube is blocked;

[0019] A control module, connected to the blood oxygen detection module and the delivery tube status monitoring module, used for controlling the working status of the nutrient solution delivery assembly according to the blood oxygen concentration and the delivery tube status;

[0020] An alarm module, connected to the control module, used for sending an alarm signal when the blood oxygen concentration is lower than the normal range or the delivery tube is blocked;

[0021] A display module, connected to the control module, used for displaying the blood oxygen concentration, the delivery tube status and the working status of the nutrient solution delivery assembly.

[0022] As another optional embodiment of the present invention, optionally, the blood oxygen detection module includes:

[0023] A blood oxygen acquisition unit, arranged at the bottom of the main body of the feeding device, used for acquiring the blood oxygen data at the small intestine stoma;

[0024] A preprocessing unit, connected to the acquisition unit, used for preprocessing the blood oxygen data;

[0025] The data analysis unit is connected to the preprocessing unit and the control module, and is used to analyze the processed blood oxygen data, determine whether the blood oxygen data is within the normal range, and send the analysis result to the control module.

[0026] As another alternative embodiment of the present invention, optionally, the data analysis unit uses a machine learning model to analyze and process the blood oxygen data to obtain the analysis result;

[0027] The expression of the machine learning model is:

[0028]

[0029] Among them, O(x) represents the probability that the predicted blood oxygen concentration based on the input blood oxygen data x is within the normal range, σ() represents an activation function such as ReLU, n represents the number of features, w i represents the weight of the i-th feature, f i (x) represents the i-th feature function of the blood oxygen data x, b i represents the bias of the i-th feature, exp() represents the exponential function, λ represents the regularization coefficient, m represents the number of key indicators, g j (x) represents the predicted value of the machine learning model for the j-th key indicator, y j represents the actual expected value of the j-th key indicator, p represents the norm parameter, l represents the number of constraint conditions, h k (x) represents the predicted value of the machine learning model for the k-th constraint condition, z k represents the threshold of the k-th constraint condition, δ k represents the error range of the k-th constraint condition, θ k represents the weight of the k-th constraint condition on the final prediction result.

[0030] As another alternative embodiment of the present invention, optionally, the pipeline state monitoring module includes:

[0031] A state acquisition unit is arranged at the key nodes of the pipeline for real-time acquisition of the state data at the key nodes, and the state data includes pressure data and flow data;

[0032] A state judgment unit is connected to the state acquisition unit and the control module, and is used to judge whether the pipeline is blocked or leaking according to the pressure data and the flow data, and send the judgment result to the control module.

[0033] As another alternative embodiment of the present invention, optionally, the state judgment unit uses a deep learning model to analyze and process the pressure data and the flow data to judge whether the pipeline is blocked or leaking;

[0034] The expression of the deep learning model is as follows:

[0035]

[0036] Among them, O(X, W, b, λ, μ) represents the classification result of judging whether the conveying pipe is blocked or leaked, X represents the input feature matrix, W represents the weight matrix, b represents the bias vector, λ represents the regularization coefficient, μ represents the constraint condition coefficient, θ() represents the activation function, N represents the number of hidden layers, and α y represents the weighted coefficient of the output of the y-th hidden layer, represents the activation function of the hidden layer, and W y represents the weight matrix of the y-th hidden layer, and b y represents the bias vector of the y-th hidden layer, R() represents the regularization term, and C() represents the constraint condition term, which is used to introduce additional constraint conditions. represents the state data predicted according to the deep learning model.

[0037] As another alternative embodiment of the present invention, optionally, the system further includes a power management module for providing stable electric energy to the system.

[0038] On the other hand, the present invention also provides a method for enteral nutrition feeding for small intestinal stoma, and the method includes a small intestinal stoma enteral nutrition feeding system; the method further includes:

[0039] S1. Install and fix the small intestinal stoma enteral nutrition feeding device at the small intestinal stoma of the patient;

[0040] S2. Use the conveying pipe to transport the nutrient solution to the nutrient solution outlet;

[0041] S3. Monitor the blood oxygen concentration at the small intestinal stoma through the blood oxygen detection module, and judge whether the blood oxygen concentration is within the normal range. If the blood oxygen concentration is lower than the normal range, the control module controls the nutrient solution conveying component to slow down or stop the conveying of the nutrient solution, and at the same time, the alarm module will send out an alarm signal;

[0042] S4. Real-time monitor the state data of the conveying pipe through the conveying pipe state monitoring module, and judge whether the conveying pipe is blocked or leaked based on the state data. If so, the control module controls the nutrient solution conveying component to stop the conveying of the nutrient solution, and starts the alarm module to send out an alarm signal;

[0043] S5. Use the display module to real-time display the blood oxygen concentration, the state of the conveying pipe, and the working state of the nutrient solution conveying component.

[0044] The beneficial effects brought by the technical solutions provided in the embodiments of the present invention at least include: First, the present invention places the feeding device body at the small intestine stoma and stably fixes it by using the fixing component, thereby avoiding the intestinal nutrition reflux caused by the movement or detachment of the device during feeding. Through the nutrient solution delivery component, the delivery speed and amount of the nutrient solution can be precisely controlled to ensure that the patient obtains appropriate nutritional support and prevent the patient from having poor nutrient absorption due to problems such as intraoperative abdominal cavity infection and intestinal adhesion. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0046] Figure 1 It is a schematic structural diagram of an enteral nutrition feeding device for small intestine stoma provided by an embodiment of the present invention;

[0047] Figure 2 It is a schematic structural diagram of the delivery tube provided by an embodiment of the present invention;

[0048] Figure 3 It is a schematic structural diagram of an enteral nutrition feeding system for small intestine stoma provided by an embodiment of the present invention;

[0049] Figure 4 It is a schematic structural diagram of the blood oxygen detection module provided by an embodiment of the present invention;

[0050] Figure 5 It is a schematic structural diagram of the delivery tube status monitoring module provided by an embodiment of the present invention;

[0051] Figure 6 It is a flowchart of a method for enteral nutrition feeding of small intestine stoma provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] The following will describe the technical solutions in the present invention with reference to the drawings.

[0053] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "example" in the present invention should not be construed as being more preferred or more advantageous than other embodiments or design solutions. Exactly speaking, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two.

[0054] In the embodiments of the present invention, the terms "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, their intended meanings are the same. The terms "of", "corresponding", and "corresponding to" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, their intended meanings are the same.

[0055] In the embodiments of the present invention, sometimes a subscript such as W 1 may be miswritten as a non-subscript form such as W1. When the difference is not emphasized, their intended meanings are the same.

[0056] To make the technical problems, technical solutions, and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0057] As Figure 1 shown, the embodiments of the present invention provide a small intestine stoma enteral nutrition feeding device, and the device includes:

[0058] A feeding device body 1, in the shape of a nipple, and at least one nutrient solution outlet 5 is provided at the bottom;

[0059] As Figure 1 shown, in this embodiment, the feeding device body 1 is made of medical-grade silicone material to ensure good compatibility with the patient's intestinal tissue and avoid allergic reactions or rejection reactions. At the same time, this material has good elasticity and durability, can adapt to the intestinal morphology of different patients, and ensures that the feeding device body 1 can be stably fixed at the small intestine stoma and is not easily detached or displaced.

[0060] A fixing component, arranged on the feeding device body 1, for fixing the feeding device body 1 at the small intestine stoma;

[0061] As Figure 1 shown, the fixing component includes an air-filled balloon 2, installed on the side wall of the feeding device body 1. After the air-filled balloon 2 is inflated, it can closely adhere to the patient's intestinal tissue, thereby increasing the stability of the feeding device body 1; an air-filled tube 4, installed on the feeding device body 1 and communicated with the air-filled balloon 2, and the other end of the air-filled tube 4 extends to the outside of the feeding device body 1 to facilitate the medical staff to inflate or deflate the air-filled balloon 2; an air balloon control valve, installed on the air-filled tube 3, for controlling the inflation and deflation process of the air-filled balloon 2. The medical staff can control the air pressure in the air-filled balloon 2 by adjusting the opening degree of the air balloon control valve 4, thereby adjusting the fixing tightness of the feeding device body 1 at the small intestine stoma. Such a design not only ensures the stability of the feeding device body 1 but also facilitates the operation of the medical staff.

[0062] The nutrient solution delivery assembly is disposed on the main body 1 of the feeding device and is used to deliver the nutrient solution from the outside to the nutrient solution outlet 5.

[0063] As Figure 1 and 2 shown, the nutrient solution delivery assembly specifically includes: a nutrient solution storage bladder for storing the nutrient solution to be delivered; a delivery pump connected to the nutrient solution storage bladder for pumping the nutrient solution out of the storage bladder and delivering it to the nutrient solution outlet 5 through the delivery tube 2. In this embodiment, the delivery pump uses a peristaltic pump, and its working principle is to squeeze and release the delivery tube 2 through rollers, thereby realizing the delivery of the nutrient solution. The advantage of the peristaltic pump is that no bubbles are generated during the delivery process, and the delivery speed is stable, which can ensure that the patient obtains uniform nutritional support. At the same time, the nutrient solution delivery assembly also includes a flow regulating valve installed on the delivery tube 2 for regulating the delivery speed of the nutrient solution. Medical staff can, according to the actual needs of the patient, control the delivery speed and amount of the nutrient solution by adjusting the opening degree of the flow regulating valve, which improves the accuracy and safety of feeding.

[0064] As Figure 1 and 2 shown, during use, medical staff first place the main body 1 of the feeding device at the small intestine stoma of the patient, and then inflate the inflatable bladder 2 through the inflation tube 4 so that the inflatable bladder 2 closely adheres to the intestinal tissue of the patient, thereby using the fixing assembly to stably fix the main body 1 of the feeding device at the small intestine stoma. Then, medical staff deliver the nutrient solution in the nutrient solution storage bladder to the nutrient solution outlet 5 of the main body 1 of the feeding device through the delivery pump and the delivery tube 2, and the nutrient solution will enter the patient's intestine through the nutrient solution outlet 5 to provide nutritional support for the patient.

[0065] In summary, the enteral nutrition feeding device for small intestinal stoma in this embodiment realizes enteral nutrition feeding for patients with small intestinal stoma through reasonable design. Among them, the design of the nutrient solution delivery component not only ensures the stable delivery of the nutrient solution, but also realizes precise control of the delivery speed and volume through the flow regulating valve, thereby ensuring that the patient obtains appropriate nutritional support. In addition, the design of the fixing component enables the feeding device body to be stably fixed at the small intestinal stoma, avoiding the reflux of enteral nutrition caused by the movement or detachment of the device during feeding, and further improving the safety and stability of feeding. Generally speaking, the enteral nutrition feeding device for small intestinal stoma in this embodiment has a reasonable design and comprehensive functions, and can provide safe, stable and precise enteral nutrition feeding for patients with small intestinal stoma, with important clinical application value. In this embodiment, first, the feeding device body is placed at the small intestinal stoma, and it is stably fixed by using the fixing component, thereby avoiding the reflux of enteral nutrition caused by the movement or detachment of the device during feeding. Through the nutrient solution delivery component, the delivery speed and volume of the nutrient solution can be precisely controlled to ensure that the patient obtains appropriate nutritional support and prevent the patient from suffering from malabsorption of nutrients caused by problems such as intraoperative abdominal cavity infection and intestinal adhesion.

[0066] As an alternative embodiment of the present invention, optionally, the fixing component includes:

[0067] An air-filled balloon 3, which is arranged on the feeding device body 1;

[0068] As Figure 1 shown, the air-filled balloon 3 is made of medical-grade silicone material, has good elasticity and biocompatibility, and can closely adhere to the patient's intestinal tissue after inflation, thereby effectively fixing the feeding device body 1 and preventing it from moving or detaching during feeding. In addition, the shape and size of the air-filled balloon 3 can be customized according to the patient's intestinal morphology to ensure the best fixing effect and comfort. At the same time, the air-filled balloon 3 can also be connected to an external air source through an air filling tube 4, and medical staff can conveniently adjust the air pressure in the air-filled balloon 3 by controlling the balloon control valve on the air filling tube, thereby realizing precise adjustment of the fixing tightness of the feeding device body 1. Such a design not only ensures the stability of the feeding device body 1, but also improves the patient's usage experience.

[0069] An air filling tube 4, which is arranged on the feeding device body 1 and is communicated with the air-filled balloon 3;

[0070] As Figure 1As shown, the inflation tube 4 is made of medical-grade PVC material, has good flexibility and durability, and can withstand a certain amount of pressure and tension, ensuring that it will not burst or deform due to the pressure of delivering nutrient solution during feeding. One end of the inflation tube 4 is connected to the inflation balloon 3, and the other end extends to the outside of the feeding device body 1, facilitating medical staff to inflate or deflate the inflation balloon 3 through an external air source. At the same time, an airbag control valve is provided on the inflation tube 4, and medical staff can control the air pressure in the inflation balloon 3 by adjusting the opening degree of the airbag control valve, thereby precisely adjusting the fixing tightness of the feeding device body 1. Such a design not only improves the stability of the feeding device body 1 but also facilitates the operation of medical staff, enhancing the safety and comfort of feeding.

[0071] The airbag control valve is provided on the inflation tube 4 and is used to control the inflation and deflation of the inflation balloon and adjust the fixing tightness of the feeding device body 1 at the small intestine stoma.

[0072] The airbag control valve of this embodiment (not shown in the figure) can be controlled manually or automatically. In the manual control mode, medical staff can adjust its opening degree by rotating or pressing the handle of the airbag control valve, thereby precisely controlling the air pressure in the inflation balloon 3. In the automatic control mode, the airbag control valve can be connected to an external air pressure control system to automatically adjust and control the air pressure in the inflation balloon 3 through preset air pressure parameters and programs. Such a design not only improves the stability and safety of the feeding device body 1 but also further facilitates the operation of medical staff, enhancing the efficiency and comfort of feeding.

[0073] As an alternative embodiment of the present invention, optionally, the nutrient solution delivery assembly includes:

[0074] A nutrient solution storage sac for storing nutrient solution;

[0075] In this embodiment, the nutrient solution storage sac is arranged outside the feeding device body 1, and its shape and size can be customized according to the needs of the patient and the feeding cycle to ensure an adequate storage capacity of the nutrient solution and reduce the trouble of frequent replacement. The nutrient solution storage sac is made of medical-grade material, has good sealing performance and corrosion resistance, and can ensure the hygiene and safety of the nutrient solution during storage. At the same time, scale lines are provided on the nutrient solution storage sac to facilitate medical staff to accurately measure and record the remaining amount of the nutrient solution for timely replenishment and replacement.

[0076] A delivery pump connected to the nutrient solution storage sac;

[0077] In this embodiment, a high-precision peristaltic pump is used as the delivery pump. Its working principle is to periodically squeeze and release the delivery tube through rollers, thereby achieving stable delivery of the nutrient solution. The advantage of the peristaltic pump is that no bubbles are generated during the delivery process, and the delivery speed is stable and adjustable, ensuring that patients receive uniform and appropriate nutritional support. At the same time, a flow sensor and a pressure sensor are also provided on the delivery pump to monitor the delivery speed and pressure of the nutrient solution in real time, so that medical staff can adjust the delivery parameters in a timely manner to ensure the accuracy and safety of feeding.

[0078] The delivery tube 2 is connected to the delivery pump at one end and to the nutrient solution outlet 5 at the other end.

[0079] In this embodiment, the delivery tube 2 is made of medical-grade PVC material, is trumpet-shaped, has good flexibility and durability, can withstand a certain amount of pressure and tension, and ensures that it will not break or deform due to the pressure of delivering the nutrient solution during feeding. The inner wall of the delivery tube 2 is smooth, which can reduce the flow resistance of the nutrient solution and ensure the smooth delivery of the nutrient solution. At the same time, a flow regulating valve is also provided on the delivery tube 2. Medical staff can control the delivery speed and amount of the nutrient solution by adjusting the opening degree of the flow regulating valve, further improving the accuracy and safety of feeding. Such a design not only ensures the stable delivery of the nutrient solution but also facilitates the operation of medical staff, improving the efficiency and comfort of feeding.

[0080] The flow regulating valve adopts a high-precision regulating valve. Its working principle is to adjust the flow rate of the nutrient solution by changing the opening degree of the valve. Medical staff can adjust its opening degree by rotating the handle of the flow regulating valve according to the actual needs of the patient, thereby achieving precise control of the delivery speed of the nutrient solution. Such a design not only improves the accuracy and safety of feeding but also facilitates the operation of medical staff, improving the efficiency and comfort of feeding.

[0081] In summary, the enteral nutrition feeding device for small intestinal stoma in this embodiment realizes safe, stable, and precise enteral nutrition feeding for patients with small intestinal stoma through reasonable design and improvement. Among them, the design of the fixing component enables the feeding device body to be stably fixed at the small intestinal stoma, avoiding enteral nutrition reflux caused by the movement or detachment of the device during feeding; the design of the nutrient solution delivery component not only ensures the stable delivery of the nutrient solution but also realizes precise control of the delivery speed and amount through the flow regulating valve, thereby ensuring that patients receive appropriate nutritional support. In addition, the design of the nutrient solution storage sac further improves the convenience and efficiency of feeding. Generally speaking, the enteral nutrition feeding device for small intestinal stoma in this embodiment has a reasonable design and comprehensive functions, and has important clinical application value.

[0082] Such as Figure 3As shown, a small intestine stoma enteral nutrition feeding system, the system includes a small intestine stoma enteral nutrition feeding device; the system further includes:

[0083] A blood oxygen detection module, used to detect the blood oxygen concentration at the small intestine stoma and determine whether the blood oxygen concentration is within the normal range;

[0084] It should be noted that the blood oxygen detection module includes a blood oxygen acquisition unit, a preprocessing unit, and a data analysis unit. The blood oxygen acquisition unit is used to collect the blood oxygen data at the small intestine stoma, and the preprocessing unit preprocesses the collected blood oxygen data to improve the accuracy of data analysis. The data analysis unit analyzes the preprocessed blood oxygen data to determine whether the blood oxygen concentration is within the normal range. When the blood oxygen concentration is lower than the normal range, the system will issue an alarm to remind the medical staff to deal with it in time, so as to avoid dangerous situations such as hypoxia and ischemia of the patient.

[0085] Figure 4 The structure of the blood oxygen detection module is shown in detail. The blood oxygen acquisition unit includes a blood oxygen probe, which is used to directly contact the intestinal tissue of the patient to collect blood oxygen data. The preprocessing unit includes a filter and an amplifier, which are used to filter and amplify the collected blood oxygen data to reduce noise interference and improve data quality. The data analysis unit includes a microprocessor and a memory. The microprocessor is used to execute the data analysis algorithm to determine whether the blood oxygen concentration is within the normal range, and the memory is used to store historical data and analysis results for the medical staff to view and compare at any time.

[0086] A delivery tube status monitoring module, used to monitor the status data of the delivery tube in real time, including whether the delivery tube is blocked;

[0087] Such as Figure 3 and 5 shown, in addition to the blood oxygen detection module, the system of this embodiment further includes a delivery tube status monitoring module, which is used to monitor the status of the delivery tube in real time to ensure the smooth delivery of the nutrient solution. As Figure 5 shown, the delivery tube status monitoring module includes a pressure sensor and a flow sensor. The pressure sensor is used to monitor the pressure change in the delivery tube. When the pressure is abnormal, the system will issue an alarm to remind the medical staff to deal with it in time to avoid dangerous situations such as blockage or rupture of the delivery tube. The flow sensor is used to monitor the delivery speed of the nutrient solution to ensure that the patient obtains appropriate nutritional support. When the delivery speed is lower or higher than the preset range, the system will automatically adjust the rotation speed of the delivery pump to maintain a stable delivery speed.

[0088] A control module, connected to the blood oxygen detection module and the delivery tube status monitoring module, is used to control the working status of the nutrient solution delivery component according to the blood oxygen concentration and the delivery tube status;

[0089] Such as Figure 3As shown in the figure, the control module, as the core component of the system, is responsible for receiving data from the blood oxygen detection module and the delivery tube status monitoring module, and precisely controlling the nutrient solution delivery component based on this data. When the blood oxygen concentration is below the normal range, the control module will immediately pause the nutrient solution delivery to avoid further increasing the patient's intestinal burden, and at the same time issue an alarm to remind medical staff to handle it in a timely manner. When the delivery tube is blocked or the delivery speed is abnormal, the control module will also automatically adjust the rotation speed of the delivery pump or issue an alarm to ensure the smooth delivery of the nutrient solution and the safety of the patient. Such a design not only improves the intelligent level of the system but also further enhances the safety and stability of feeding.

[0090] An alarm module, connected to the control module, is used to issue an alarm signal when the blood oxygen concentration is below the normal range or the delivery tube is blocked;

[0091] As Figure 3 shown in the figure, the alarm module is an audible and visual alarm, connected to the control module, and is used to issue an alarm in a timely manner in case of an emergency. When the blood oxygen detection module detects that the blood oxygen concentration is below the normal range, or the delivery tube status monitoring module monitors that the delivery tube is blocked or the delivery speed is abnormal, the alarm module will be immediately activated, emitting a clear and loud alarm sound, and displaying the corresponding alarm information on the display screen to remind medical staff to take measures quickly to ensure the safety and health of the patient. The design of the alarm module fully considers the particularity of the hospital environment and the needs of medical staff, and uses a high-brightness and high-definition display screen and a loud and penetrating alarm to ensure that the alarm information can be transmitted in a timely and accurate manner in a noisy hospital environment. At the same time, the alarm module also has the function of recording the alarm history, which is convenient for medical staff to view and analyze at any time, providing strong support for the treatment and care of patients.

[0092] A display module, connected to the control module, is used to display the blood oxygen concentration, the status of the delivery tube, and the working status of the nutrient solution delivery component.

[0093] As Figure 3 shown in the figure, the display module adopts a high-definition touch screen design, connected to the control module, and is used to display the blood oxygen concentration, the status of the delivery tube, and the working status of the nutrient solution delivery component in real time. The numerical value and curve graph of the blood oxygen concentration can be clearly shown on the screen, which is convenient for medical staff to intuitively understand the blood oxygen condition of the patient. At the same time, the status information of the delivery tube, such as whether it is blocked and the delivery speed, will also be updated in real time on the screen in the form of graphics or text. In addition, the working status of the nutrient solution delivery component, such as the rotation speed of the delivery pump and the opening degree of the flow regulating valve, will also be displayed on the screen, which is convenient for medical staff to monitor and adjust at any time. The design of the display module fully considers the usage habits and needs of medical staff, with a simple and clear interface and convenient and fast operation, providing great convenience for medical staff.

[0094] In summary, during use, medical staff can first view the patient's blood oxygen concentration, the status of the delivery tube, and the working status of the nutrient solution delivery component through the display module to ensure that everything is within the normal range. Then, according to the actual needs of the patient, the working parameters of the nutrient solution delivery component are adjusted through the control module, such as the rotation speed of the delivery pump and the opening degree of the flow regulating valve, to achieve precise control of the delivery speed and quantity of the nutrient solution. During the feeding process, the blood oxygen detection module and the delivery tube status monitoring module will continuously monitor the patient's blood oxygen concentration and the status of the delivery tube. Once an abnormal situation occurs, the control module will immediately take measures, such as pausing the delivery of the nutrient solution or adjusting the rotation speed of the delivery pump. At the same time, the alarm module will issue an alarm to remind the medical staff to handle it in a timely manner. Such a design not only improves the accuracy and safety of feeding, but also further enhances the intelligence level of the system and the operation convenience of medical staff. Generally speaking, the enteral nutrition feeding system for small intestinal stoma in this embodiment realizes comprehensive, precise, and safe enteral nutrition feeding for small intestinal stoma patients through reasonable design and improvement, and has important clinical application value.

[0095] Specifically, the delivery tube status monitoring module and the blood sample detection module in this embodiment are both arranged on the feeding device body 1 and communicate with the external control module in real time through the wireless communication module to achieve data source transmission; the wireless communication module is installed on the feeding device body 1 and is used to realize the real-time communication and data transmission between the delivery tube status monitoring module and the blood oxygen detection module and the external control module.

[0096] In this embodiment, the wireless communication module adopts low-power Bluetooth or Wi-Fi technology, which can achieve stable and fast connection and data transmission with external devices. Through the wireless communication module, the delivery tube status monitoring module and the blood oxygen detection module can send the monitored data to the external control module in real time, and the control module then precisely controls the nutrient solution delivery component according to these data. The wireless communication module has the characteristics of low power consumption and high stability, which can ensure that there will be no signal interruption or data loss during long-term use, providing a strong guarantee for the safety and health of patients.

[0097] As another alternative embodiment of the present invention, optionally, the blood oxygen detection module includes:

[0098] A blood oxygen acquisition unit, arranged at the bottom of the feeding device body 1, for acquiring blood oxygen data at the small intestinal stoma;

[0099] Such as Figure 3 and 4As shown, the blood oxygen acquisition unit is a blood oxygen probe that directly contacts the patient's intestinal tissue and can accurately and quickly collect blood oxygen data at the small intestine stoma. The blood oxygen probe is made of medical-grade materials, has good biocompatibility and corrosion resistance, and can ensure that it will not cause irritation or damage to the patient's intestinal tissue during long-term use. At the same time, the design of the blood oxygen probe fully considers the patient's comfort and usage experience, uses soft and conformable materials, and can closely fit the patient's intestinal tissue to reduce discomfort during the acquisition process. Specifically, the blood oxygen acquisition unit is installed at a position near the bottom of the feeding device body 1 and directly contacts the patient's intestinal tissue, thus ensuring the accuracy of the collected blood oxygen data. Such a design not only improves the acquisition accuracy of blood oxygen data but also provides a more reliable monitoring method for medical staff, helping to detect and handle the patient's abnormal conditions in a timely manner.

[0100] A preprocessing unit, connected to the acquisition unit, for preprocessing the blood oxygen data;

[0101] As Figure 4 shown, the preprocessing unit performs processing such as filtering and amplifying the collected blood oxygen data to improve the accuracy and reliability of the data. The preprocessing unit uses advanced signal processing algorithms and technologies, can effectively remove noise interference, enhance the signal quality, and provide strong support for subsequent data analysis. At the same time, the preprocessing unit also has an automatic calibration function, can regularly calibrate the blood oxygen acquisition unit, and ensure that the collected blood oxygen data always remains within an accurate and reliable range. Such a design not only improves the accuracy and reliability of blood oxygen data but also provides a more accurate and reliable basis for medical staff's diagnosis and treatment.

[0102] A data analysis unit, connected to the preprocessing unit and the control module, for analyzing the processed blood oxygen data, judging whether the blood oxygen data is within the normal range, and sending the analysis result to the control module.

[0103] As Figure 4 shown, the data analysis unit is a machine learning model. The machine learning model can accurately identify the characteristics and laws of blood oxygen data by learning and training a large amount of historical blood oxygen data, so as to achieve accurate judgment of blood oxygen concentration. When the preprocessing unit sends the processed blood oxygen data to the data analysis unit, the data analysis unit will immediately analyze and process the data to judge whether the blood oxygen concentration is within the normal range. If the blood oxygen concentration is lower than the normal range, the data analysis unit will immediately send the analysis result to the control module, and the control module will then take corresponding measures according to the analysis result, such as suspending the nutrient solution delivery or sending out an alarm to remind the medical staff to handle it in a timely manner. Such a design not only improves the accuracy and reliability of blood oxygen detection but also provides a strong guarantee for the safety and health of patients.

[0104] As another alternative embodiment of the present invention, optionally, the data analysis unit uses a machine learning model to analyze and process the blood oxygen data to obtain the analysis result;

[0105] The expression of the machine learning model is:

[0106]

[0107] where O(x) represents the probability that the predicted blood oxygen concentration based on the input blood oxygen data x is within the normal range, σ() represents an activation function such as ReLU, n represents the number of features, w i represents the weight of the i-th feature, f i (x) represents the i-th feature function of the blood oxygen data x, b i represents the bias of the i-th feature, exp() represents the exponential function, λ represents the regularization coefficient, m represents the number of key indicators, g j (x) represents the predicted value of the machine learning model for the j-th key indicator, y j represents the actual expected value of the j-th key indicator, p represents the norm exponent, l represents the number of constraint conditions, h k (x) represents the predicted value of the machine learning model for the k-th constraint condition, z k represents the threshold of the k-th constraint condition, δ k represents the error range of the k-th constraint condition, θ k represents the weight of the k-th constraint condition on the final prediction result.

[0108] As another alternative embodiment of the present invention, optionally, the delivery tube status monitoring module includes:

[0109] A status acquisition unit, which is arranged at the key nodes of the delivery tube 2 and is used to collect the status data at the key nodes in real time. The status data includes pressure data and flow data;

[0110] As Figure 3 and 5 shown, the status acquisition unit is specifically a pressure sensor and a flow sensor, which are respectively arranged at the key nodes of the delivery tube, such as the inlet, outlet of the delivery tube 2, and the parts where blockage or pressure change may occur. The pressure sensor can monitor the pressure change in the delivery tube 2 in real time. When the pressure rises or drops abnormally, the system will immediately issue an alarm to remind the medical staff to deal with it in time to avoid dangerous situations such as blockage and rupture of the delivery tube. The flow sensor is used to monitor the delivery speed of the nutrient solution to ensure that the patient can obtain stable and appropriate nutritional support. When the delivery speed is lower or higher than the preset range, the system will automatically adjust the rotation speed of the delivery pump to maintain a stable delivery speed and meet the nutritional needs of the patient.

[0111] A status judgment unit is connected to the status acquisition unit and the control module, and is configured to judge whether the conveying pipe 2 is blocked or leaking according to the pressure data and flow data, and send the judgment result to the control module.

[0112] As Figure 5 shown, the status judgment unit is a deep learning model. By learning and training a large amount of historical pressure data and flow data, the deep learning model can accurately identify the characteristics and laws of the status of the conveying pipe 2, so as to achieve an accurate judgment on whether the conveying pipe 2 is blocked or leaking. When the status acquisition unit sends the collected pressure data and flow data to the status judgment unit, the status judgment unit will immediately analyze and process the data to judge whether abnormal conditions such as blockage or leakage occur in the conveying pipe 2. If the conveying pipe 2 is blocked or leaking, the status judgment unit will immediately send the judgment result to the control module, and the control module will then take corresponding measures according to the judgment result, such as pausing the nutrient solution delivery, adjusting the rotation speed of the delivery pump, or sending an alarm to remind the medical staff to handle it in time. Such a design not only improves the accuracy and reliability of the status monitoring of the conveying pipe 2, but also provides a strong guarantee for the safety and health of the patient.

[0113] As another optional embodiment of the present invention, optionally, the status judgment unit uses a deep learning model to analyze and process the pressure data and flow data to judge whether the conveying pipe is blocked or leaking;

[0114] The expression of the deep learning model is:

[0115]

[0116] wherein, O(X, W, b, λ, μ) represents the classification result of judging whether the conveying pipe is blocked or leaking, X represents the input feature matrix, W represents the weight matrix, b represents the bias vector, λ represents the regularization coefficient, μ represents the constraint condition coefficient, θ() represents the activation function, N represents the number of hidden layers, α y represents the weighted coefficient of the output of the y-th hidden layer, represents the hidden layer activation function, W y represents the weight matrix of the y-th hidden layer, b y represents the bias vector of the y-th hidden layer, R() represents the regularization term, C() represents the constraint condition term, which is used to introduce additional constraint conditions, represents the status data predicted according to the deep learning model.

[0117] As another optional embodiment of the present invention, optionally, the system further includes a power management module for providing stable electric energy to the system.

[0118] The system of this embodiment further includes a communication module. Communication modules are provided in both the delivery tube status monitoring module and the blood oxygen detection module, and these communication modules are used to communicate with the control module. The communication module is a wireless communication module that uses Bluetooth communication technology to ensure real-time and accurate data transmission. Through the communication module, the delivery tube status monitoring module and the blood oxygen detection module can achieve two-way communication with the control module. They can not only send the monitored data to the control module in real time but also receive the instructions and parameter adjustment information sent by the control module, thereby realizing remote monitoring and adjustment of the feeding device. Such a design not only improves the flexibility and operability of the system but also provides a more convenient and efficient monitoring means for medical staff, contributing to the comprehensive, accurate, and safe enteral nutrition feeding of patients.

[0119] As Figure 6 shown, a method for enteral nutrition feeding through a small intestinal stoma, the method includes a small intestinal stoma enteral nutrition feeding system; the method further includes:

[0120] S1. Install and fix the small intestinal stoma enteral nutrition feeding device at the small intestinal stoma of the patient;

[0121] It should be noted that during the installation process, medical staff need to ensure that the feeding device is closely attached to the patient's intestinal tissue to avoid leakage of nutrient solution or causing discomfort to the patient. At the same time, medical staff also need to check and test the various functions of the feeding device to ensure its normal operation to provide stable and appropriate nutritional support. Medical staff need to regularly check and maintain the feeding device, promptly discover and handle possible problems to ensure the normal operation of the feeding device and the safety and health of the patient.

[0122] S2. Use the delivery tube 2 to deliver the nutrient solution to the nutrient solution outlet 5;

[0123] It should be noted that during the process of delivering the nutrient solution, medical staff need to strictly control parameters such as the delivery speed, delivery volume, composition, and temperature of the nutrient solution to ensure that the patient can obtain appropriate nutritional support. At the same time, medical staff also need to closely monitor the patient's vital signs and nutritional status, and make corresponding adjustments and optimizations to the feeding device according to the actual situation of the patient to meet the personalized needs of the patient. In addition, to avoid contamination or deterioration of the nutrient solution during the delivery process, medical staff also need to regularly clean and disinfect the delivery tube to ensure the hygiene and safety of the feeding device.

[0124] S3. Monitor the blood oxygen concentration at the small intestinal stoma through the blood oxygen detection module, and determine whether the blood oxygen concentration is within the normal range. If the blood oxygen concentration is lower than the normal range, the control module will control the nutrient solution delivery component to slow down or stop the delivery of the nutrient solution, and at the same time, the alarm module will send out an alarm signal;

[0125] It should be noted that during the process of monitoring the blood oxygen concentration, medical staff can obtain the patient's blood oxygen data in real time and make corresponding adjustments to the feeding device through the control module. If the blood oxygen concentration continues to be lower than the normal range, medical staff can also suspend the delivery of nutrient solution to avoid further burden on the patient. At the same time, the alarm signal issued by the alarm module can remind medical staff to take timely treatment measures to ensure the patient's life safety. In addition, through in-depth analysis and mining of the blood oxygen data by the data analysis unit, the nutritional status and the changing trend of the patient's vital signs can be understood, providing strong support for medical staff to formulate a more accurate treatment plan.

[0126] S4. The state data of the delivery tube is monitored in real time by the delivery tube state monitoring module. Based on the state data, it is judged whether the delivery tube is blocked or leaking. If so, the control module is used to control the nutrient solution delivery component to stop the delivery of nutrient solution, and the alarm module is started to issue an alarm signal.

[0127] It should be noted that during the process of real-time monitoring of the delivery tube state, medical staff can obtain the pressure data and flow data of the delivery tube, and these data can reflect the operating state of the delivery tube. If abnormal conditions such as blockage or leakage occur in the delivery tube, the state judgment unit will immediately send the judgment result to the control module. After receiving the abnormal signal, the control module will quickly take measures, such as stopping the delivery of nutrient solution, to prevent the leakage of nutrient solution or causing discomfort to the patient. At the same time, the alarm module will issue an alarm signal to remind medical staff to deal with it in time. Such a design not only improves the real-time performance and accuracy of the delivery tube state monitoring, but also provides strong guarantee for the safety and health of the patient. In addition, through in-depth analysis and mining of the state data by the deep learning model, medical staff can understand the operating rules and potential risks of the delivery tube, providing strong support for formulating a more scientific maintenance plan.

[0128] S5. The display module is used to display the blood oxygen concentration, the state of the delivery tube, and the working state of the nutrient solution delivery component in real time.

[0129] It should be noted that the display module can clearly show the blood oxygen concentration of the patient, the state of the delivery tube, and the working condition of the nutrient solution delivery component, enabling medical staff to intuitively understand the patient's nutritional status and the operating state of the feeding device. Through the display module, medical staff can obtain the blood oxygen concentration data of the patient in real time to judge whether there are abnormal conditions such as hypoxia in the patient. At the same time, the display module can also show the pressure data and flow data of the delivery tube to help medical staff timely discover potential risks such as blockage or leakage of the delivery tube. In addition, the display module can also display the working state of the nutrient solution delivery component, such as parameters like delivery speed and delivery volume, enabling medical staff to make corresponding adjustments and optimizations to the feeding device according to the actual situation of the patient. Such a design not only improves the transparency and operability of the system but also provides a more intuitive and convenient monitoring means for medical staff, contributing to the realization of comprehensive, accurate, and safe enteral nutrition feeding for patients.

[0130] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims described.

Claims

1. A small intestinal stoma enteral nutrition feeding device, characterized in that: The device comprises: The feeding device body (1) is in the shape of a nipple and has at least one nutrient solution outlet (5) disposed at the bottom; A fixing assembly, arranged on the feeding device body (1), and used for fixing the feeding device body (1) at the intestinal stoma; A nutrient solution delivery component is arranged on the feeding device body (1) and is used to deliver the nutrient solution from the outside to the nutrient solution outlet (5).

2. The enterostomy enteral nutrition feeding device according to claim 1, characterized in that: The fixing assembly comprises: An inflatable bag (3) is arranged on the feeding device body (1); An inflation tube (4) is arranged on the feeding device body (1) and is connected to the inflation bag (3); The air bag control valve is arranged on the inflation tube (4) and is used to control the inflation and deflation of the air bag and adjust the fixing tightness of the feeding device body 1 at the small intestine stoma.

3. The enterostomy enteral nutrition feeding device according to claim 1, characterized in that: The nutrient solution delivery assembly comprises: A nutrient solution storage capsule, used for storing nutrient solution; A delivery pump connected to the nutrient solution storage bag; A delivery pipe (2) has one end connected to the delivery pump and the other end connected to the nutrient solution outlet (5).

4. A small intestinal stoma enteral nutrition feeding system, characterized in that: The system comprises the small intestinal stoma enteral nutrition feeding device according to any one of claims 1 to 3; the system further comprises: A blood oxygen detection module, used to detect the blood oxygen concentration at the small intestine stoma and determine whether the blood oxygen concentration is within a normal range; A delivery pipe status monitoring module, used to monitor the status data of the delivery pipe (2) in real time, including whether the delivery pipe (2) is blocked; A control module, connected to the blood oxygen detection module and the delivery tube state monitoring module, and used to control the working state of the nutrient solution delivery component according to the blood oxygen concentration and the delivery tube state; an alarm module connected to the control module and used to send out an alarm signal when the blood oxygen concentration is lower than a normal range or the delivery tube (2) is blocked; The display module is connected to the control module and is used to display the blood oxygen concentration, the state of the delivery tube and the working state of the nutrient solution delivery component.

5. The enterostomy enteral nutrition feeding system according to claim 4, characterized in that: The blood oxygen detection module comprises: A blood oxygen collection unit is arranged at the bottom of the feeding device body (1) and is used to collect blood oxygen data at the small intestinal stoma; A preprocessing unit, connected to the acquisition unit, for preprocessing the blood oxygen data; The data analysis unit is connected to the preprocessing unit and the control module, and is used to analyze the processed blood oxygen data, determine whether the blood oxygen data is within a normal range, and send the analysis result to the control module.

6. The enterostomy enteral nutrition feeding system according to claim 5, characterized in that: The data analysis unit uses a machine learning model to analyze and process the blood oxygen data to obtain the analysis result; The expression of the machine learning model is: Among them, O(x) represents the probability of whether the blood oxygen concentration is within the normal range based on the input blood oxygen data x, σ() represents the activation function such as ReLU, n represents the number of features, and w i represents the weight of the i-th feature, f i (x) represents the i-th characteristic function of blood oxygen data x, b i represents the bias of the i-th feature, exp() represents the exponential function, λ represents the regularization coefficient, m represents the number of key indicators, and g j (x) represents the predicted value of the machine learning model for the jth key indicator, y j represents the actual expected value of the jth key indicator, p represents the norm betweenness, l represents the number of constraints, and h k (x) represents the predicted value of the machine learning model for the kth constraint condition, z k represents the threshold of the kth constraint, δ k represents the error range of the kth constraint, θ k Represents the weight of the kth constraint on the final prediction result.

7. The enterostomy enteral nutrition feeding system according to claim 4, characterized in that: The pipeline status monitoring module comprises: A state collection unit is arranged at a key node of the delivery pipe (2) and is used to collect state data at the key node in real time, the state data including pressure data and flow data; A state judgment unit is connected to the state acquisition unit and the control module, and is used to judge whether the delivery pipe (2) is blocked or leaking according to the pressure data and the flow data, and send the judgment result to the control module.

8. The enterostomy enteral nutrition feeding system according to claim 7, characterized in that: The state judgment unit uses a deep learning model to analyze and process the pressure data and flow data to determine whether the delivery pipe (2) is blocked or leaking; The expression of the deep learning model is: Among them, O(X, W, b, λ, μ) represents the classification result of judging whether the conveying pipe (2) is blocked or leaking, X represents the input feature matrix, W represents the weight matrix, b represents the bias vector, λ represents the regularization coefficient, μ represents the constraint condition coefficient, θ() represents the activation function, N represents the number of hidden layers, α y represents the weight coefficient of the yth hidden layer output, represents the hidden layer activation function, W y represents the weight matrix of the yth hidden layer, b y represents the bias vector of the yth hidden layer, R() represents the regularization term, and C() represents the constraint term, which is used to introduce additional constraints. Represents the state data predicted by the deep learning model.

9. The enterostomy enteral nutrition feeding system according to claim 4, characterized in that: The system further comprises a power management module, which is used for providing stable power to the system.

10. A method for feeding enteral nutrition through small intestinal stoma, characterized in that: The method comprises the enterostomy enteral nutrition feeding system according to any one of claims 4 to 9; the method further comprises: S1. Install and fix the small intestinal stoma enteral nutrition feeding device on the small intestinal stoma of the patient; S2, using the delivery pipe (2) to deliver the nutrient solution to the nutrient solution outlet (5); S3, monitoring the blood oxygen concentration at the small intestinal stoma through the blood oxygen detection module, and determining whether the blood oxygen concentration is within a normal range. If the blood oxygen concentration is lower than the normal range, the control module controls the nutrient solution delivery component to slow down or stop the delivery of the nutrient solution, and the alarm module sends an alarm signal; S4, monitoring the status data of the delivery pipe in real time through the delivery pipe status monitoring module, judging whether the delivery pipe is blocked or leaking based on the status data, and if so, controlling the nutrient solution delivery component to stop the delivery of the nutrient solution through the control module, and starting the alarm module to send an alarm signal; S5. Using a display module to display the blood oxygen concentration, the state of the delivery tube and the working state of the nutrient solution delivery component in real time.

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