Intravenous infusion set monitoring system combined with CVP measurement

Abstract

The present invention discloses an intravenous infusion device monitoring system combined with CVP measurement, relating to the field of infusion monitoring technology, and includes a data acquisition module, a data processing module, a calculation and analysis module, and a management and control module. The intravenous infusion device monitoring system of the present invention combines physiological indicators such as central venous pressure, heart rate, and body temperature to comprehensively analyze factors affecting physiological status, promptly detect physiological changes in patients, provide a reliable basis for infusion adjustment, and ensure treatment efficacy. The system considers the effects of infusion liquid viscosity, pipeline length and inner diameter, and CVP on resistance, accurately calculates actual resistance, ensures smooth infusion, and dynamically adjusts the infusion speed according to the patient's physiological status and infusion resistance, meeting both physiological needs and adapting to physical conditions, achieving intelligent monitoring, and ensuring treatment efficacy.

Description

Technical Field

[0001] The present invention relates to the technical field of infusion monitoring, and in particular to an intravenous infusion device monitoring system combined with CVP measurement. Background Art

[0002] In modern medicine, intravenous infusion is a very common and important treatment method, widely used for replenishing water, delivering drugs, maintaining electrolyte balance, and other aspects. Ensuring the safety and effectiveness of the infusion process is a key challenge in clinical treatment;

[0003] Central venous pressure (CVP) measurement is of vital importance in intravenous infusion therapy. CVP refers to the pressure in the right atrium and the thoracic segments of the superior and inferior vena cava. It reflects the preload of the right heart and can reflect important physiological information such as the patient's blood volume, cardiac function, and vascular tension. Real-time monitoring of CVP can help medical staff understand the patient's circulatory system status and thus adjust the infusion plan more accurately. The intravenous infusion device monitoring system is designed to achieve real-time monitoring and precise control of the infusion process.

[0004] Existing infusion monitoring methods mostly rely on medical staff's experience and regular inspections to adjust the infusion rate. However, this method has certain limitations. Medical staff cannot always monitor the infusion status of each patient. This can easily lead to problems such as inaccurate infusion rate and excessive or insufficient infusion, which can affect treatment effectiveness and even pose a threat to the patient's health.

[0005] For example, Chinese patent CN201720335765.X discloses a remote monitoring system for intravenous infusion. This system has strong expansion capabilities and can be interfaced with the hospital's HIS system in the future. The device supports Bluetooth data access and collects data such as body temperature, blood oxygen saturation, and pulse. It has data statistics, recording, query and playback functions, which effectively avoid medical liability accidents. There is no need to change the hospital's existing network architecture and it can be used after simple settings.

[0006] However, the above patent only focuses on a single infusion parameter, that is, the drip rate of infusion, and may ignore many other influencing factors, such as the patient's overall physiological state. The physiological state is a complex whole. Physiological indicators such as central venous pressure, heart rate, and body temperature may be interrelated and influence each other. The monitoring of a single parameter may not fully reflect the patient's actual needs, which may lead to a mismatch between the infusion speed and the patient's physiological state, affecting the treatment effect. In addition, when adjusting the infusion speed, the existing technology often considers less the influence of infusion resistance. Factors such as the length and inner diameter of the infusion pipeline and the viscosity of the infusion liquid have a certain influence on the infusion resistance, which may directly affect the smoothness of the infusion, and may lead to inaccurate infusion speed or even poor infusion, affecting the timely delivery of drugs and the treatment effect. Summary of the Invention

[0007] The purpose of the present invention is to provide an intravenous infusion set monitoring system combined with CVP measurement, which solves the problems raised in the above background technology.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a system for monitoring intravenous infusion devices in combination with CVP measurement, comprising:

[0009] Data acquisition module: The data acquisition module collects the patient's central venous pressure, heart rate and body temperature;

[0010] Data processing module: The patient's central venous pressure, heart rate and body temperature are input into the data processing module, which cleans and checks the collected data, removes obviously abnormal data points, and outputs the currently measured central venous pressure, heart rate and body temperature.

[0011] Calculation and analysis module: The currently measured central venous pressure value, the currently measured heart rate value and the currently measured body temperature value are input into the calculation and analysis module, and the calculation and analysis module outputs the physiological state influencing factor, the infusion resistance influencing factor and the final infusion speed analysis value;

[0012] Management and control module: The physiological status influencing factors, infusion resistance influencing factors and final infusion speed analysis values ​​are input into the management and control module. The management and control module uploads the input data to the control center for medical staff to review and take corresponding measures to ensure the safety and stability of the patient's intravenous infusion.

[0013] Optionally, the calculation and analysis module includes: a physiological state analysis submodule, a resistance impact analysis submodule and an infusion speed analysis submodule.

[0014] Optionally, the calculation formula of the physiological state analysis submodule is as follows:

[0015] ;

[0016] in:

[0017] FQW refers to the physiological status influencing factor, FA refers to the weighted influencing factor of central venous pressure, FQWA refers to the currently measured central venous pressure value, FQWB refers to the normal reference value of central venous pressure, FQWC refers to the normal fluctuation range of central venous pressure, FB refers to the weighted influencing factor of heart rate value, FQWD refers to the currently measured heart rate value, FQWE refers to the normal reference value of heart rate, FQWF refers to the normal fluctuation range of heart rate, FC refers to the weighted influencing factor of body temperature value, FQWG refers to the currently measured body temperature value, FQWH refers to the normal reference value of body temperature, and FQWI refers to the normal fluctuation range of body temperature;

[0018] Refers to the degree of deviation between the currently measured central venous pressure value and the normal reference value of central venous pressure;

[0019] Refers to the degree of deviation between the currently measured heart rate value and the normal reference value of the heart rate;

[0020] Refers to the degree of deviation between the currently measured body temperature value and the normal reference value of body temperature;

[0021] The processing process of the physiological state analysis submodule is as follows: the currently measured central venous pressure value FQWA, the currently measured heart rate value FQWD and the currently measured body temperature value FQWG are input, and based on the combined operation of the normal reference value FQWB of the central venous pressure, the normal reference value FQWE of the heart rate and the normal reference value FQWH of the body temperature, the physiological state analysis submodule outputs the physiological state influencing factor FQW.

[0022] Optionally, the calculation formula of the resistance impact analysis submodule is as follows:

[0023] ;

[0024] in:

[0025] FSR refers to the infusion resistance influencing factor, QA refers to the infusion factor weighting factor, FSRA refers to the viscosity of the infusion liquid, FSRB refers to the length of the infusion line, FSRC refers to the inner diameter of the infusion line, QB refers to the weight of the influence of the central venous pressure factor on the infusion resistance, and FQWS refers to the maximum safe value of the central venous pressure;

[0026] Refers to the influence relationship between the infusion resistance factor FSR and the viscosity of the infusion liquid FSRA, the length of the infusion tube FSRB and the inner diameter of the infusion tube FSRC;

[0027] Refers to the ratio of the currently measured central venous pressure value FQWA to the maximum safe value of central venous pressure FQWS;

[0028] The processing process of the resistance impact analysis submodule is as follows: based on the proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value of the central venous pressure FQWS, it is input into the resistance impact analysis submodule, and considering the influence of infusion resistance and liquid viscosity, pipeline length and pipeline inner diameter, the resistance impact analysis submodule outputs the infusion resistance impact factor FSR.

[0029] Optionally, the calculation formula of the infusion speed analysis submodule is as follows:

[0030] ;

[0031] ;

[0032] in:

[0033] ROP refers to the final infusion rate analysis value, ROA refers to the basic infusion rate value, PP refers to the final infusion rate adjustment coefficient, RS refers to the preset value of the basic infusion rate adjustment coefficient, α refers to the weight of the physiological state influencing factor, and β refers to the weight of the infusion resistance influencing factor;

[0034] Refers to the degree of influence of the physiological state influencing factor FQW on the final infusion rate adjustment coefficient PP;

[0035] Refers to the degree of influence of the infusion resistance factor FSR on the final infusion rate adjustment coefficient PP;

[0036] The processing process of the infusion rate analysis submodule is as follows: based on the cooperation of the physiological state influencing factor FQW and the infusion resistance influencing factor FSR, the final infusion rate adjustment coefficient PP is analyzed, and based on the final infusion rate adjustment coefficient PP, the infusion rate analysis submodule outputs the final infusion rate analysis value ROP.

[0037] Optionally, the data acquisition module collects the patient's heart rate data through an electrocardiogram monitor and collects the patient's body temperature data through a temperature measuring device.

[0038] Optionally, the data processing module cleans the input data and uses a filtering algorithm to remove noise and interference in the data.

[0039] Optionally, the management control module saves records and monitors in real time the physiological status influencing factors, infusion resistance influencing factors and final infusion speed analysis values. When the data exceeds the safety range, the system transmits the signal to the control center and promptly issues an audible and visual alarm signal.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention outputs physiological status influencing factors through the physiological status analysis submodule. The physiological status analysis submodule integrates three key physiological indicators: central venous pressure, heart rate, and body temperature, and calculates the comprehensive physiological status influencing factors. This enables the system to comprehensively and accurately assess the patient's physiological status, rather than relying on a single indicator. The system can promptly detect changes in the patient's physiological status and provide a basis for subsequent infusion adjustments.

[0042] 2. The present invention outputs the infusion resistance impact factor through the resistance impact analysis submodule. The resistance impact analysis submodule comprehensively considers the effects of infusion liquid viscosity, infusion tube length and infusion tube inner diameter, and central venous pressure on infusion resistance to derive the infusion resistance and efficiency factor. It can accurately calculate the actual infusion resistance, effectively avoid the influence of improper resistance on the infusion effect, ensure a smooth infusion process, and guarantee the smooth progress of infusion treatment.

[0043] 3. The present invention outputs the final infusion speed analysis value through the infusion speed analysis submodule. The infusion speed analysis submodule combines the calculation results of the physiological state analysis submodule and the resistance impact analysis submodule with the preset basic infusion speed value to obtain the final infusion speed adjustment coefficient. The system can dynamically adjust the infusion speed according to the infusion speed adjustment coefficient to meet the patient's physiological needs and adapt to the physical conditions of infusion. Through precise evaluation and calculation, the system can timely discover risk factors and adjust the speed, thereby improving the safety of infusion therapy, realizing personalized and precise treatment, and avoiding waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A flowchart of the method steps of the intravenous infusion set monitoring system combined with CVP measurement is provided;

[0045] Figure 2 This is a schematic diagram of the overall structure of the intravenous infusion device monitoring system combined with CVP measurement;

[0046] Figure 3 This is a schematic diagram of the structure of the calculation and analysis module in the intravenous infusion device monitoring system combined with CVP measurement. DETAILED DESCRIPTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0048] Most existing intravenous infusion device monitoring systems only focus on a single infusion parameter, such as infusion rate or infusion volume, while ignoring the patient's overall physiological state. The patient's physiological state is a complex whole. Physiological indicators such as central venous pressure, heart rate, and body temperature may be interrelated and affect each other. The monitoring of a single parameter cannot fully reflect the patient's actual needs, which may lead to a mismatch between the infusion rate and the patient's physiological state, affecting the treatment effect. In addition, when adjusting the infusion rate, the existing technology often takes less consideration of the influence of infusion resistance, the influence of factors such as the length and inner diameter of the infusion tube and the viscosity of the infusion liquid on the infusion resistance, and different infusion tubes and liquids. The body has different physical properties, which will directly affect the smoothness of infusion, which may lead to inaccurate infusion speed or even poor infusion, affecting the timely delivery of drugs and therapeutic effects. Most existing infusion monitoring systems use fixed infusion plans and cannot be dynamically adjusted according to the patient's real-time physiological state and infusion conditions. During the infusion process, the patient's physiological state may change at any time, such as worsening of the disease and the occurrence of complications. At the same time, the condition of the infusion pipeline and liquid may also change. The fixed infusion plan may not be able to adapt to these changes, which may cause the infusion speed to be too fast or too slow, increasing the risk to the patient.

[0049] This intravenous infusion device monitoring system combined with CVP measurement comprehensively considers the three important physiological indicators of central venous pressure, heart rate and body temperature to comprehensively analyze the influencing factors of physiological status, and then timely detects changes in the patient's physiological status based on the influencing factors of physiological status, providing a more reliable basis for subsequent infusion adjustments, thereby ensuring the treatment effect. This system takes into account the viscosity of the infusion liquid, the length and inner diameter of the infusion pipeline, and the influence of CVP on the infusion resistance. It can accurately calculate the actual resistance during the infusion process, avoid affecting the infusion effect due to excessive or insufficient resistance, and thus ensure smooth infusion. This system comprehensively considers the patient's physiological status and infusion resistance to dynamically adjust the infusion speed, so that the infusion speed can not only meet the patient's physiological needs, but also adapt to the physical conditions during the infusion process, thereby achieving the purpose of intelligent monitoring.

[0050] Example 1:

[0051] See also Figures 1 to 3 This embodiment provides a technical solution: an intravenous infusion device monitoring system combined with CVP measurement, including:

[0052] Data acquisition module: The data acquisition module collects the patient's central venous pressure, heart rate and body temperature;

[0053] Data processing module: The patient's central venous pressure, heart rate and body temperature are input into the data processing module, which cleans and checks the collected data, removes obviously abnormal data points, and outputs the currently measured central venous pressure, heart rate and body temperature.

[0054] Calculation and analysis module: The currently measured central venous pressure value, the currently measured heart rate value and the currently measured body temperature value are input into the calculation and analysis module, and the calculation and analysis module outputs the physiological state influencing factor, the infusion resistance influencing factor and the final infusion speed analysis value;

[0055] Management and control module: Input physiological status influencing factors, infusion resistance influencing factors and final infusion speed analysis values ​​into the management and control module. The management and control module uploads the input data to the control center for medical staff to review and take corresponding measures to ensure the safety and stability of the patient's intravenous infusion;

[0056] The calculation and analysis module includes: a physiological state analysis submodule, a resistance impact analysis submodule and an infusion speed analysis submodule.

[0057] In this embodiment, the physiological state analysis submodule calculates the comprehensive physiological state influencing factor FQW by comprehensively considering three important physiological indicators: central venous pressure (CVP), heart rate, and body temperature. This enables the system to comprehensively and accurately assess the patient's current physiological state, rather than being limited to a single indicator. For example, when a patient has fever symptoms, the increased body temperature will cause the FQW value to increase, and may also be accompanied by an increased heart rate, further affecting the calculated FQW result. The system can promptly detect changes in the patient's physiological state based on the value of FQW, providing a basis for subsequent infusion adjustments.

[0058] The resistance impact analysis submodule comprehensively considers the effects of the viscosity of the infusion liquid (FSRA), the length and inner diameter of the infusion tubing (FSRB), and CVP on the infusion resistance, and calculates the infusion resistance and efficiency factor (FSR). Different infusion liquids and tubing characteristics will lead to differences in infusion resistance, and changes in CVP will also affect the smoothness of infusion. Through the resistance impact analysis submodule, the system can accurately calculate the actual resistance during the infusion process to avoid affecting the infusion effect due to excessive or insufficient resistance. For example, when using high-viscosity infusion liquids or long, thin infusion tubing, the FSR value will increase, prompting the system to take corresponding measures to adjust the infusion speed;

[0059] The infusion speed analysis submodule combines the calculation results of the physiological state analysis submodule and the resistance impact analysis submodule with the preset basic infusion speed value ROA to calculate the final infusion speed adjustment coefficient PP. The system can dynamically adjust the infusion speed according to the PP value, so that the infusion speed can not only meet the patient's physiological needs, but also adapt to the physical conditions during the infusion process. For example, when the patient's physiological state is unstable, the FQW is large, and the infusion resistance is large and the FSR is large, the PP value will be adjusted accordingly, and the system will appropriately reduce the infusion speed to ensure infusion safety; conversely, when the patient's physiological state is stable and the infusion resistance is small, the system will increase the infusion speed to speed up the treatment process;

[0060] By accurately assessing the patient's physiological status and calculating infusion resistance, the system can promptly identify potential risk factors and dynamically adjust the infusion rate. For example, if the patient's CVP is too high or the infusion resistance is too large, the system will automatically reduce the infusion rate to avoid problems such as excessive cardiac stress or poor infusion due to rapid infusion, thereby improving the safety of infusion therapy.

[0061] Adjusting the infusion rate according to the patient's actual physiological state and infusion conditions can make infusion therapy more personalized and precise. For example, for patients with unstable physiological conditions, appropriately adjusting the infusion rate can better maintain the patient's fluid balance and physiological function, improve the treatment effect, and avoid treatment delays or complications caused by improper infusion rate, helping patients recover faster.

[0062] Accurately calculating infusion resistance and dynamically adjusting infusion speed can avoid unnecessary infusion waste and resource consumption. For example, when the infusion resistance is large, the system can adjust the infusion speed in a timely manner to avoid problems such as infusion tube rupture or infusion pump damage caused by forcibly increasing the infusion speed, thereby saving medical resources.

[0063] The three sets of formulas provide the monitoring system with a wealth of information, including data on the patient's physiological status, infusion resistance, and other aspects. This data can help medical staff gain a more comprehensive understanding of the patient's condition and make more accurate decisions. For example, medical staff can determine whether the patient's infusion plan needs to be adjusted or other treatment measures are taken based on the FQW and FSR values.

[0064] The monitoring system can automatically adjust the infusion speed based on the calculation results of the formula, realizing automated monitoring and management of the infusion process. This not only reduces the workload of medical staff, but also improves the accuracy and timeliness of infusion treatment. For example, the system can monitor the patient's physiological indicators and infusion parameters in real time. When abnormal conditions are detected, the infusion speed is automatically adjusted to ensure the safety and stability of the infusion process.

[0065] The combined application of the three sets of formulas makes the monitoring system intelligent and can make adaptive adjustments based on the patient's actual situation. The system can improve its ability to predict the patient's physiological state and infusion needs by continuously learning and optimizing the parameters of the formula, thereby further enhancing the system's intelligence level.

[0066] See also Figures 1 to 3 ,The processing process of the physiological state analysis submodule is as follows:

[0067] ;

[0068] in:

[0069] FQW refers to the factor affecting physiological status, and a larger FQW value indicates a more unstable physiological state of the patient;

[0070] FA refers to the weighted influencing factor of central venous pressure;

[0071] FQWA refers to the currently measured central venous pressure value in centimeters of water (cmH2O);

[0072] It should be noted that CVP is central venous pressure;

[0073] FQWB refers to the normal reference value of central venous pressure, which is expressed in centimeters of water (cmH2O). The general range is 5-12 cmH2O, and in this embodiment, it is set to 8 cmH2O.

[0074] FQWC refers to the normal fluctuation range of central venous pressure, which is measured in centimeters of water (cmH2O). The general range is 3-5 cmH2O, and is set to 3 cmH2O in this embodiment.

[0075] FB refers to the weighted influencing factor of heart rate value;

[0076] FQWD refers to the currently measured heart rate value in beats per minute (bpm);

[0077] FQWE refers to the normal reference value of heart rate, measured in beats per minute (bpm). The typical resting heart rate reference value for adults is 60-100 bpm, and is set to 80 bpm in this embodiment.

[0078] FQWF refers to the normal fluctuation range of heart rate, measured in beats per minute (bpm). The normal fluctuation range for a normal person is 10-20 bpm, and in this embodiment, it is set to 15 bpm.

[0079] FC refers to the weighted influencing factor of body temperature value;

[0080] FQWG refers to the currently measured body temperature value in degrees Celsius (℃);

[0081] FQWH refers to the normal reference value of body temperature, which is in degrees Celsius (°C). The normal human body temperature is generally between 36-37.2°C, and is set to 36.5°C in this embodiment.

[0082] FQWI refers to the normal fluctuation range of body temperature, and the unit is Celsius (℃). FQWI is generally 0.5-1℃, and is set to 0.7 in this embodiment;

[0083] Refers to the degree of deviation between the currently measured central venous pressure value and the normal reference value of central venous pressure;

[0084] Refers to the degree of deviation between the currently measured heart rate value and the normal reference value of the heart rate;

[0085] Refers to the degree of deviation between the currently measured body temperature value and the normal reference value of body temperature;

[0086] If it is just a simple difference (FQWA-FQWB), (FQWD-FQWE), (FQWG-FQWH), when the measured value is higher or lower than the reference value, the difference will be positive or negative, and the smaller and larger deviations will not be obvious in the numerical value. However, after squaring, whether the measured value is higher or lower than the reference value, the result will be positive, and as the degree of deviation increases, the square value will increase rapidly, which can more significantly reflect the change in the degree of deviation;

[0087] When evaluating physiological status, we are more concerned about the size of the deviation from the normal range, rather than whether it is above or below the normal range. The square operation can eliminate the influence of positive and negative signs, allowing us to measure the degree of deviation more intuitively.

[0088] Different physiological indicators have different normal fluctuation ranges. In order to make the deviation of different indicators comparable, normalization processing is required, such as using (FQWA-FQWB) 2 Divide by FQWC 2 , the deviation degree of each indicator can be converted into a relative value. For example, the normal fluctuation ranges of FQWA and FQWD may be different. If they are not normalized, it is meaningless to directly compare their deviation square values. By dividing by the square of the fluctuation range, the deviation degree of each indicator can be measured on a relatively unified scale;

[0089] The currently measured central venous pressure value FQWA, the currently measured heart rate value FQWD and the currently measured body temperature value are input into FQWG input, and based on the combined operation of the normal reference value FQWB of the central venous pressure, the normal reference value FQWE of the heart rate and the normal reference value FQWH of the body temperature, the physiological state analysis submodule outputs the physiological state influencing factor FQW.

[0090] In this embodiment, existing technologies typically focus on a single indicator to adjust the infusion rate. This submodule innovatively integrates three important physiological indicators: CVP, heart rate, and body temperature. The human body's physiological state is a complex whole, and multiple physiological indicators are interrelated and influence each other. For example, fever may cause an increased heart rate, which also affects blood circulation and fluid balance, thereby affecting the need for infusion. By comprehensively considering these three indicators, the patient's current physiological state can be more comprehensively and accurately reflected, providing richer information for infusion adjustment.

[0091] The degree to which each indicator deviates from the normal range is calculated in the form of squared difference and normalized. This method amplifies the impact of the indicator deviating from the normal range, so that when a certain indicator deviates significantly, it can be more significantly reflected in the FQW value. For example, when the patient's heart rate is significantly higher than the normal range, (FQWD-FQWE) 2 The value of will increase significantly, which will significantly increase FQW, reminding the system to adjust the infusion rate more carefully.

[0092] See also Figures 1 to 3 ,The processing process of the resistance impact analysis submodule is as follows:

[0093] ;

[0094] in:

[0095] FSR refers to the infusion resistance factor, and a larger FSR value indicates a greater infusion resistance;

[0096] QA refers to the infusion factor weighting factor;

[0097] FSRA refers to the viscosity of the infusion liquid, and the unit is Pascal-second (Pa-s). Viscosity is the ability of a fluid to resist flow. The greater the viscosity of the infusion liquid, the greater the resistance to flow in the pipe. For example, a viscous colloidal solution is more difficult to flow than saline because of its higher viscosity.

[0098] FSRB refers to the length of the infusion pipe, and the unit is meter (m). The longer the infusion pipe, the greater the friction and resistance the liquid encounters when flowing in the pipe, just like it is more difficult for water to flow in a long pipe than in a short pipe;

[0099] FSRC refers to the inner diameter of the infusion pipe, in meters (m);

[0100] QB refers to the weight of the influence of central venous pressure on infusion resistance;

[0101] FQWS refers to the maximum safe value of central venous pressure, in centimeters of water (cmH2O). In this embodiment, FQWS is set to 20 cmH2O.

[0102] This term represents the relationship between the infusion resistance factor (FSR) and the viscosity (FSRA) of the infusion liquid, the length (FSRB) of the infusion tubing, and the inner diameter (FSRC) of the infusion tubing. In fluid mechanics, for laminar flow in circular tubes, this term is a factor related to infusion resistance, reflecting the combined effects of liquid viscosity and tubing length on resistance. This term originates from Poiseuille's law and is derived through simplified integration of the Navier-Stokes equations. The coefficient 8 is naturally introduced into the relationship between pressure gradient and flow rate, fully complying with Poiseuille's law and accurately describing the relationship between fluid resistance and viscosity, length, and radius.

[0103] The smaller the inner diameter, the smaller the space for liquid flow and the greater the resistance. According to Poiseuille's law, the flow rate is proportional to the fourth power of the pipe radius, so the fourth power of the inner diameter is used here to express the effect of the pipe inner diameter on the resistance. The denominator is It reflects the effect of the inner diameter of the pipe on the infusion resistance. The smaller the inner diameter, The smaller the value of The larger the value is, the greater the infusion resistance is;

[0104] Refers to the ratio of the currently measured central venous pressure value FQWA to the maximum safe value of central venous pressure FQWS. When FQWA increases, the infusion resistance will increase accordingly. When FQWA is close to FQWS, The value of is close to 1, then The value of will be larger, indicating that the infusion resistance is more affected by FQWA. On the contrary, when FQWA is smaller, The value of is small, The value of is close to 1, indicating that FQWA has little effect on infusion resistance;

[0105] The proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value of the central venous pressure FQWS is input into the resistance impact analysis submodule, and considering the influence of infusion resistance and liquid viscosity, pipeline length and pipeline inner diameter, the resistance impact analysis submodule outputs the infusion resistance impact factor FSR.

[0106] In this embodiment: When adjusting the infusion speed, the existing technology usually takes into account factors such as the length and inner diameter of the infusion tube and the viscosity of the infusion liquid. This submodule takes these factors into consideration and comprehensively analyzes the impact of the physical properties of the infusion process on the infusion resistance and efficiency. Different infusion tubes and liquids have different physical properties, which will directly affect the smoothness of the infusion. For example, long and thin infusion tubes and high-viscosity liquids will increase the infusion resistance and reduce the infusion efficiency. On the basis of considering the infusion tube and liquid characteristics, the influence of central venous pressure (CVP) on infusion is also combined. Central venous pressure (CVP) It reflects the pressure in the central vein. When the central venous pressure CVP increases, the infusion resistance will increase accordingly. By incorporating the central venous pressure CVP into the formula, the actual resistance and efficiency during the infusion process can be more accurately evaluated. This submodule can help the monitoring system understand the actual resistance and efficiency during the infusion process. When the FSR value is larger, it means that the infusion resistance is greater and the infusion efficiency is lower. The system can adjust the infusion speed in time according to the FSR value to ensure smooth infusion. When the FSR value is larger, the system can appropriately increase the pressure of the infusion pump or adjust the infusion pipeline to overcome the resistance and ensure that the infusion volume meets the treatment requirements.

[0107] See also Figures 1 to 3 ,The processing process of the infusion rate analysis submodule is as follows:

[0108] ;

[0109] ;

[0110] in:

[0111] ROP refers to the final infusion rate analysis value, ROA refers to the basic infusion rate value, and PP refers to the final infusion rate adjustment coefficient;

[0112] RS refers to the preset value of the basic infusion rate adjustment coefficient. This value is a coefficient pre-set according to the patient's initial condition and treatment plan. It takes into account the patient's basic conditions at the beginning of the infusion, such as the patient's age, severity of the condition, and the presence of other complications. It provides a basic reference for adjusting the infusion rate;

[0113] α refers to the weight of the influencing factor of physiological state, and β refers to the weight of the influencing factor of infusion resistance;

[0114] Refers to the degree of influence of the physiological state influencing factor FQW on the final infusion rate adjustment coefficient PP;

[0115] Refers to the degree of influence of the infusion resistance factor FSR on the final infusion rate adjustment coefficient PP;

[0116] Based on the cooperation of the physiological state influencing factor FQW and the infusion resistance influencing factor FSR, the final infusion speed adjustment coefficient PP is analyzed, and based on the final infusion speed adjustment coefficient PP, the infusion speed analysis submodule outputs the final infusion speed analysis value ROP.

[0117] In this embodiment, this submodule combines the physiological state influence factor FQW in the physiological state analysis submodule with the infusion resistance influence factor FSR in the resistance influence analysis submodule, comprehensively considering the impact of multiple factors such as the patient's physiological state and the physical properties of the infusion on the infusion rate. This comprehensive adjustment method is more scientific and reasonable, and can dynamically adjust the infusion rate according to the patient's actual situation and infusion conditions.

[0118] pass and The infusion rate is adjusted in the form of a nonlinear adjustment mechanism, which can more flexibly respond to the infusion needs in different situations. For example, when the FQW is large, The adjustment coefficient will increase, thus affecting the infusion rate more significantly. For example, when the FSR is large, It will reduce PP, thus reducing the infusion rate to adapt to the greater infusion resistance;

[0119] Existing infusion rate adjustment methods are often relatively simple, considering only a few factors, and the adjustment method is usually linear. However, this submodule adopts a multi-factor integration and nonlinear adjustment method, which can more accurately adapt to the needs of different patients and infusion scenarios. This submodule provides a final, scientific and reasonable basis for infusion rate adjustment for the monitoring system. The system can accurately adjust the infusion rate of the infusion device based on the calculated final infusion rate adjustment coefficient PP value, so that the infusion rate can not only meet the patient's physiological needs but also adapt to the physical conditions during the infusion process, thereby improving the safety and effectiveness of infusion therapy.

[0120] Regarding the relationship between FQW and FSR and PP, FQW has a unidirectional relationship with PP in this submodule, while FSR is in the denominator and has an inverse relationship with PP. The relationship between FQW and FSR and PP is explained below:

[0121] FQW reflects the physiological state and infusion requirements. FQW is a comprehensive physiological state influencing factor. The larger the FQW, the greater the deviation of multiple physiological indicators such as the patient's central venous pressure, heart rate, and body temperature from the normal range, indicating a more unstable physiological state. In this case, the patient may be dehydrated, in shock, or infected, and the body's need for fluids and medications is more urgent. To maintain the patient's blood circulation and correct physiological disorders, the infusion volume and speed need to be appropriately increased to replenish blood volume and deliver medications. Therefore, FQW and PP are in the same direction. When FQW increases, PP increases, thereby increasing the infusion speed.

[0122] FQW reflects infusion resistance and infusion risk: FQW is a factor that factors in infusion resistance and efficiency. A higher FQW indicates greater infusion resistance. Excessive infusion resistance can lead to poor infusion, fluid extravasation, and excessive vascular pressure, increasing patient pain and the risk of complications. To avoid these adverse consequences, the infusion rate should be reduced. Therefore, FQW and PP are inversely related: as FQW increases, PP decreases, thereby reducing the infusion rate.

[0123] It is worth noting that the infusion resistance influence factor FSR calculated by the resistance influence analysis submodule affects the weight influence factor FB of the heart rate value in the physiological state analysis submodule, thereby affecting the calculation of the heart rate value on the physiological state influence factor FQW, thereby forming a cyclic iterative calculation form. The specific processing process is as follows:

[0124] First: FB new =FB old +UF×(FSR-PPQ);

[0125] Second: Set the iteration termination condition:

[0126] Termination condition 1: The number of iterations is 100;

[0127] Termination condition 2: |FB new -FB old |<0.01;

[0128] in:

[0129] Facebook new Refers to the weight influencing factor of the heart rate value after iteration;

[0130] Facebook old Refers to the weight influencing factor of the heart rate value before iteration;

[0131] UF refers to the learning rate, which is used to control the update step size of the weight coefficient at each iteration;

[0132] PPQ refers to the preset threshold used to determine the size of FSR. When FSR is greater than PPQ, it indicates that the infusion resistance is large and the weight of the heart rate item in the physiological status analysis submodule needs to be adjusted. When FSR is less than PPQ, the weight coefficient is adjusted in the opposite direction.

[0133] The PPQ value is determined by reviewing a large number of clinical cases and analyzing the changes in patient heart rate under different infusion resistances, as well as the corresponding treatment effects and complications. For example, if the infusion resistance reaches a certain value during the infusion process, and the patient begins to experience significant heart rate fluctuations or other discomfort symptoms, this value can be used as a reference for the PPQ.

[0134] The specific value of PPQ may be affected by many factors, such as the material, length, and inner diameter of the infusion tubing, the type and viscosity of the infusion fluid, and individual patient differences. Generally speaking, for common infusion tubing (i.e., with a length of 1-2 meters, an inner diameter of 0.001-0.005 meters, and using common infusion fluids such as normal saline), based on clinical experience, the possible PPQ value is 0.1-0.5. In this embodiment, PPQ is defined as 0.3.

[0135] In this embodiment, in the human physiological system, there is a certain intrinsic connection between infusion resistance and heart rate. When the infusion resistance influence factor FSR increases, it means that it is more difficult for the fluid to enter the human body. To ensure adequate blood circulation and tissue perfusion, the heart needs to work harder, which may cause the heart rate to increase. Therefore, FSR and FB are correlated. The infusion resistance influence factor FSR reflects the physical resistance during the infusion process, while the physiological state analysis submodule reflects the patient's physiological response. By iteratively updating the weight influence factor FB of the heart rate value in the physiological state analysis submodule, the information of the infusion resistance can be transmitted to the assessment of the patient's physiological state. When the infusion resistance influence factor FSR is large, the weight of the heart rate term is increased, so that the system pays more attention to changes in heart rate, because at this time, the fluctuation of heart rate may better reflect the physiological burden of the patient under high-resistance infusion. When the infusion resistance influence factor FSR is small, the weight of the heart rate term is reduced to avoid over-emphasizing the heart rate factor, so that the calculation of FQW is more balanced.

[0136] By iteratively updating the weighted influence factor FB of the heart rate value, the FB in the physiological state analysis submodule can be dynamically adjusted according to the size of the infusion resistance influence factor FSR. When the infusion resistance is large, the FB is appropriately increased so that the FQW can better reflect the changes in the patient's physiological state under high-resistance infusion. When the infusion resistance is small, the FB is reduced to avoid over-emphasizing the heart rate factor. This allows the calculated FQW to more accurately reflect the patient's actual physiological state.

[0137] Since the physiological state influencing factor FQW is one of the important factors in calculating the final infusion rate analysis value ROP, the optimized physiological state influencing factor FQW can make the calculation of the final infusion rate analysis value ROP more accurate, thereby improving the accuracy of infusion rate adjustment. For example, when the infusion resistance is large, by adjusting the physiological state influencing factor FQW, the final infusion rate analysis value ROP can be more reasonably reduced to avoid complications caused by excessive infusion. When the infusion resistance is small, the infusion rate can be appropriately increased to speed up the treatment process.

[0138] During the specific implementation process, multiple sub-modules in this method are used to form a complete system. The currently measured central venous pressure value FQWA, the currently measured heart rate value FQWD, and the currently measured body temperature value FQWG are input into the physiological state analysis sub-module, and the physiological state analysis sub-module outputs the physiological state influencing factor FQW. The physiological state analysis sub-module integrates the three key physiological indicators of central venous pressure CVP, heart rate, and body temperature to calculate the comprehensive physiological state influencing factor FQW. This enables the system to comprehensively and accurately evaluate the patient's physiological state, rather than relying on a single indicator. The system can promptly detect changes in the patient's physiological state based on FQW, providing a basis for subsequent infusion adjustments.

[0139] The proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value of central venous pressure FQWS is input into the resistance impact analysis submodule, which then outputs the infusion resistance impact factor FSR. The resistance impact analysis submodule comprehensively considers the effects of infusion fluid viscosity, tubing length and inner diameter, and central venous pressure on infusion resistance to calculate the infusion resistance and efficiency factor. This module can accurately calculate the actual infusion resistance, effectively avoiding the impact of improper resistance on infusion results, ensuring a smooth infusion process, and guaranteeing smooth infusion therapy.

[0140] Based on the cooperation of the physiological state influencing factor FQW and the infusion resistance influencing factor FSR, the final infusion speed adjustment coefficient PP is analyzed, and based on the final infusion speed adjustment coefficient PP, this infusion speed analysis submodule outputs the final infusion speed analysis value ROP. The infusion speed analysis submodule combines the calculation results of the physiological state analysis submodule and the resistance influence analysis submodule with the preset basic infusion speed value to obtain the final infusion speed adjustment coefficient. The system can dynamically adjust the infusion speed according to PP so that it can meet the patient's physiological needs and adapt to the physical conditions of infusion. Through precise evaluation and calculation, the system can timely discover risk factors and adjust the speed, improve the safety of infusion therapy, realize personalized and precise treatment, and avoid waste of resources.

[0141] It should be noted that specific instructions are provided for intravenous infusion sets combined with CVP measurement:

[0142] An intravenous infusion device combined with CVP measurement, comprising: an infusion tube, a scale measuring device, a pressure sensor, a control module and a display module;

[0143] Infusion tubes are used to deliver fluids;

[0144] The scale measuring device is built into the infusion tube and can display the height of the liquid in real time, thereby calculating the CVP value;

[0145] The pressure sensor is installed at an appropriate position on the infusion tube to detect pressure changes in the vein and transmit the data to the control module;

[0146] The control module is responsible for processing the data from the pressure sensor and calculating the CVP value based on the reading of the scale measuring device. Finally, the CVP value and infusion status are displayed to medical staff in real time through the display module.

[0147] The procedure for using an IV infusion set combined with CVP measurement is as follows:

[0148] S1. Connect the infusion set to the patient's intravenous access.

[0149] S2. Turn on the infusion pump, the liquid begins to be delivered, and the scale measuring device displays the liquid height in real time;

[0150] S3, the pressure sensor detects the intravenous pressure, and the control module calculates the CVP value and displays it;

[0151] S4. Medical staff adjust the treatment plan based on the displayed CVP value and infusion status.

[0152] This solution can effectively simplify the operational procedures of CVP measurement and intravenous infusion, reduce the number of equipment replacements, lower the risk of infection, and improve the convenience and accuracy of clinical operations.

[0153] Using an IV set combined with CVP measurement has the following effects:

[0154] 1. By integrating CVP measurement and intravenous infusion functions, it solves the problems of complex and time-consuming operation of traditional equipment.

[0155] 2. It can simplify the operation process and reduce the workload of medical staff;

[0156] 3. Built-in scale measuring device to achieve accurate measurement of CVP;

[0157] 4. Reduce the number of equipment replacements and reduce the risk of infection;

[0158] 5. Improve the convenience and accuracy of clinical operations and enhance medical efficiency.

[0159] Example 2:

[0160] Based on the above embodiment:

[0161] See also Figure 1 、 Figure 2 and Figure 3 The data acquisition module collects the patient's heart rate data through the electrocardiogram monitor and the patient's body temperature through the temperature measuring device;

[0162] In this embodiment: the data acquisition module also needs to obtain the length FSRB and the inner diameter FSRC of the infusion tube. These two data can be obtained from the product manual of the infusion tube, and the viscosity FSRA of the infusion liquid also needs to be obtained. The concentration can be analyzed according to the configured liquid medicine composition, or it can be directly measured using a concentration measuring device.

[0163] The data processing module cleans the input data and uses a filtering algorithm to remove noise and interference in the data;

[0164] In this embodiment: data input by the data processing module is efficiently pre-processed to avoid the impact of data confusion on subsequent calculations;

[0165] The management and control module stores records and monitors in real time the physiological status influencing factors, the infusion resistance influencing factors and the final infusion speed analysis value. When the data exceeds the safety range, the system transmits a signal to the control center and promptly issues an audible and visual alarm signal.

[0166] In this embodiment, if the physiological state influencing factor FQW value is small, it indicates that the patient's physiological state is relatively stable and the conventional infusion plan can be followed. If the physiological state influencing factor FQW value is large, it indicates that the patient's physiological state may be unstable and the medical staff needs to further evaluate the patient's condition. It may be necessary to adjust the infusion plan or take other treatment measures.

[0167] If the FSR value of the infusion resistance factor is small, it means that the infusion resistance is small, the infusion is relatively smooth, and the current infusion speed can be maintained. If the FSR value of the infusion resistance factor is large, it indicates that the infusion resistance is large, and it may be necessary to check whether the infusion pipeline is unobstructed, adjust the pressure of the infusion pump, or replace the infusion pipeline.

[0168] The infusion speed of the infusion device is adjusted based on the final infusion speed analysis value ROP. The system automatically controls the infusion pump to adjust the infusion speed. The medical staff can also be notified to manually control it. At the same time, the adjusted infusion speed is displayed on the display module or monitoring interface for reference by the medical staff.

[0169] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intravenous infusion set monitoring system combined with CVP measurement, characterized in that: include: Data acquisition module: The data acquisition module collects the patient's central venous pressure, heart rate and body temperature; Data processing module: The patient's central venous pressure, heart rate, and body temperature are input into the data processing module. The data processing module cleans and checks the collected data, eliminating data points with obvious abnormalities. The data processing module outputs the currently measured central venous pressure, heart rate, and body temperature, and inputs the output data into the calculation and analysis module. The calculation and analysis module includes a resistance impact analysis submodule: Outputting physiological status influencing factors based on the currently measured central venous pressure value, the currently measured heart rate value, and the currently measured body temperature value; Based on the currently measured central venous pressure value, the infusion factor weight factor QA, the viscosity of the infusion liquid FSRA, the length of the infusion tube FSRB, the inner diameter of the infusion tube FSRC, the influence weight QB of the central venous pressure factor on the infusion resistance, and the maximum safe value FQWS of the central venous pressure, the infusion resistance influence factor FSR is output. The calculation formula of the resistance influence analysis submodule is as follows: ； in: Refers to the influence relationship between the infusion resistance factor FSR and the viscosity of the infusion liquid FSRA, the length of the infusion tube FSRB and the inner diameter of the infusion tube FSRC; Refers to the ratio of the currently measured central venous pressure value FQWA to the maximum safe value of central venous pressure FQWS; Based on the weighted combination calculation of the physiological state influencing factors and the infusion resistance influencing factors, the preset value of the basic infusion speed adjustment coefficient is adjusted to first output the final infusion speed adjustment coefficient, and then combined with the basic infusion speed value to finally output the final infusion speed analysis value; Management and control module: The physiological status influencing factors, infusion resistance influencing factors and final infusion speed analysis values ​​are input into the management and control module. The management and control module uploads the input data to the control center for medical staff to review and take corresponding measures to ensure the safety and stability of the patient's intravenous infusion.

2. The intravenous infusion set monitoring system combined with CVP measurement according to claim 1, characterized in that: The calculation and analysis module includes a physiological state analysis submodule and an infusion speed analysis submodule.

3. The intravenous infusion device monitoring system combined with CVP measurement according to claim 2, characterized in that: The calculation formula of the physiological state analysis submodule is as follows: ； in: FQW refers to the physiological state influencing factor, FA refers to the weighted influencing factor of central venous pressure, FQWA refers to the currently measured central venous pressure value, and FQWB refers to the normal reference value of central venous pressure; FQWC refers to the normal fluctuation range of central venous pressure, and a fixed value is preset within this range, setting FQWC = 3; FB refers to the weighted influencing factor of the heart rate value, FQWD refers to the currently measured heart rate value, and FQWE refers to the normal reference value of the heart rate; FQWF refers to the normal fluctuation range of heart rate, and a fixed value is preset within this range, setting FQWF=15; FC refers to the weighted influence factor of body temperature value, FQWG refers to the currently measured body temperature value, and FQWH refers to the normal reference value of body temperature; FQWI refers to the normal fluctuation range of body temperature, and a fixed value is preset within this range, setting FQWI = 0.7; Refers to the degree of deviation between the currently measured central venous pressure value and the normal reference value of central venous pressure; Refers to the degree of deviation between the currently measured heart rate value and the normal reference value of the heart rate; Refers to the degree of deviation between the currently measured body temperature value and the normal reference value of body temperature; The processing process of the physiological state analysis submodule is as follows: The currently measured central venous pressure value FQWA, the currently measured heart rate value FQWD and the currently measured body temperature value are input into FQWG input, and based on the combined operation of the normal reference value FQWB of the central venous pressure, the normal reference value FQWE of the heart rate and the normal reference value FQWH of the body temperature, the physiological state analysis submodule outputs the physiological state influencing factor FQW.

4. The intravenous infusion set monitoring system combined with CVP measurement according to claim 3, characterized in that: The calculation formula of the infusion speed analysis submodule is as follows: ； ； in: ROP refers to the final infusion rate analysis value, ROA refers to the basic infusion rate value, PP refers to the final infusion rate adjustment coefficient, RS refers to the preset value of the basic infusion rate adjustment coefficient, α refers to the weight of the physiological state influencing factor, and β refers to the weight of the infusion resistance influencing factor; Refers to the degree of influence of the physiological state influencing factor FQW on the final infusion rate adjustment coefficient PP; Refers to the degree of influence of the infusion resistance factor FSR on the final infusion rate adjustment coefficient PP; The processing process of the infusion speed analysis submodule is as follows: Based on the cooperation of the physiological state influencing factor FQW and the infusion resistance influencing factor FSR, the final infusion speed adjustment coefficient PP is analyzed, and based on the final infusion speed adjustment coefficient PP, the infusion speed analysis submodule outputs the final infusion speed analysis value ROP.

5. The intravenous infusion set monitoring system combined with CVP measurement according to claim 1, characterized in that: The data acquisition module collects the patient's heart rate data through an electrocardiogram monitor and collects the patient's body temperature data through a temperature measuring device.

6. The intravenous infusion set monitoring system combined with CVP measurement according to claim 1, characterized in that: The data processing module cleans the input data and uses a filtering algorithm to remove noise and interference in the data.

7. The intravenous infusion set monitoring system combined with CVP measurement according to claim 1, characterized in that: The management control module saves records and monitors in real time the physiological status influencing factors, infusion resistance influencing factors and final infusion speed analysis values. When the data exceeds the safety range, the system transmits the signal to the control center and promptly issues an audible and visual alarm signal.

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