Vein infusion apparatus monitoring system combined with CVP measurement

Abstract

The invention discloses an intravenous infusion apparatus monitoring system combined with CVP measurement, which relates to the technical field of infusion monitoring and comprises a data acquisition module, a data processing module, a calculation analysis module and a management control module. According to the monitoring system for the venous infusion apparatus, physiological indexes such as the central venous pressure, the heart rate and the body temperature are combined, physiological state influence factors are comprehensively analyzed, physiological changes of a patient are found in time, a reliable basis is provided for infusion adjustment, and the treatment effect is ensured; meanwhile, the infusion speed is dynamically adjusted according to the physiological state of the patient and the infusion resistance, physiological requirements are met, physical conditions are adapted, intelligent monitoring is achieved, and the treatment effect is guaranteed.

Description

Technical Field

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

[0002] In the modern medical field, intravenous infusion is an extremely common and important treatment method, widely used in multiple aspects such as replenishing water, delivering drugs, and maintaining electrolyte balance. Ensuring the safety and effectiveness of the infusion process is a key challenge in clinical treatment; Central venous pressure (CVP) measurement is of vital importance in intravenous infusion therapy. CVP refers to the pressure of the right atrium and the thoracic segment 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 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.

[0003] Existing infusion monitoring methods mostly rely on the experience of medical staff and regular inspections to adjust the infusion speed, but this method has certain limitations. Medical staff cannot always pay attention to the infusion situation of each patient, which may easily lead to problems such as inaccurate infusion speed, excessive or insufficient infusion, which will affect the treatment effect and may even threaten the health of patients. For example, Chinese patent CN201720335765.X discloses a remote monitoring system for intravenous infusion. This remote monitoring system for intravenous infusion has strong expansion capabilities and can be interfaced with the hospital's HIS system in the later stage. The device supports Bluetooth data access and collects body temperature, blood oxygen saturation, pulse and other data. It has data statistics, recording, query and playback functions, which can 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.

[0004] 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 be able to fully reflect the actual needs of the patient, 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 prior art often pays less attention to 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, which may lead to inaccurate infusion speed or even poor infusion, affecting the timely delivery of drugs and the treatment effect. Summary of the invention

[0005] The object of the present invention is to provide a monitoring system for intravenous infusion sets combined with CVP measurement, which solves the problems raised in the above-mentioned background art.

[0006] To achieve the above object, the present invention provides the following technical solution: A monitoring system for intravenous infusion sets combined with CVP measurement, comprising: Data acquisition module: The central venous pressure value, heart rate value and body temperature value of the patient are acquired through the data acquisition module; Data processing module: The central venous pressure value, heart rate value and body temperature value of the patient are input into the data processing module. The data processing module performs cleaning processing and checks the acquired data, eliminating significantly abnormal data points. The data processing module outputs the currently measured central venous pressure value, the currently measured heart rate value and the currently measured body temperature value; 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. The calculation and analysis module outputs the physiological state influence factor, the infusion resistance influence factor and the final infusion rate analysis value; Management and control module: The physiological state influence factor, the infusion resistance influence factor and the final infusion rate analysis value 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 view and takes corresponding measures to ensure the safety and stability of the patient's intravenous infusion.

[0007] Optionally, the calculation and analysis module includes: a physiological state analysis sub-module, a resistance influence analysis sub-module and an infusion rate analysis sub-module.

[0008] Optionally, the calculation formula of the physiological state analysis sub-module is as follows: ; Where: FQW refers to the physiological state influence factor, FA refers to the weight influence factor of the central venous pressure, FQWA refers to the currently measured central venous pressure value, FQWB refers to the normal reference value of the central venous pressure, FQWC refers to the normal fluctuation range of the central venous pressure, FB refers to the weight influence factor of the heart rate value, FQWD refers to the currently measured heart rate value, FQWE refers to the normal reference value of the heart rate, FQWF refers to the normal fluctuation range of the heart rate, FC refers to the weight influence factor of the body temperature value, FQWG refers to the currently measured body temperature value, FQWH refers to the normal reference value of the body temperature, FQWI refers to the normal fluctuation range of the body temperature; refers to the deviation degree between the currently measured central venous pressure value and the normal reference value of the central venous pressure; refers to the deviation degree 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 sub-module is as follows: Input the currently measured central venous pressure value FQWA, the currently measured heart rate value FQWD, and the currently measured body temperature value into FQWG, and based on the combined operation of the normal reference value FQWB of central venous pressure, the normal reference value FQWE of heart rate, and the normal reference value FQWH of body temperature, the physiological state analysis sub-module outputs the physiological state influence factor FQW.

[0009] Optionally, the calculation formula of the resistance influence analysis sub-module is as follows: ; Where: FSR refers to the infusion resistance influence factor, QA refers to the infusion factor weight factor, FSRA refers to the viscosity of the infusion liquid, FSRB refers to the length of the infusion pipeline, FSRC refers to the inner diameter of the infusion pipeline, QB refers to the influence weight of the central venous pressure factor on the infusion resistance, and FQWS refers to the maximum safe value of the central venous pressure; Refers to the influence relationship between the infusion resistance influence factor FSR, the viscosity FSRA of the infusion liquid, the length FSRB of the infusion pipeline, and the inner diameter FSRC of the infusion pipeline; Refers to the proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value FQWS of the central venous pressure; The processing process of the resistance influence analysis sub-module is as follows: Based on the proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value FQWS of the central venous pressure input into the resistance influence analysis sub-module, and considering the influence of the infusion resistance on the liquid viscosity, pipeline length, and pipeline inner diameter, the resistance influence analysis sub-module outputs the infusion resistance influence factor FSR.

[0010] Optionally, the calculation formula of the infusion speed analysis sub-module is as follows: ; ; Where: ROP refers to the final infusion speed analysis value, ROA refers to the basic infusion speed value, PP refers to the final infusion speed adjustment coefficient, RS refers to the preset value of the basic infusion speed adjustment coefficient, α refers to the weight of the physiological state influence factor, and β refers to the weight of the infusion resistance influence factor; Refers to the influence degree of the physiological state influence factor FQW on the final infusion speed adjustment coefficient PP; It refers to the influence degree of the infusion resistance influence factor FSR on the final infusion speed adjustment coefficient PP; The processing process of the infusion speed analysis sub-module is as follows: based on the cooperation of the physiological state influence factor FQW and the infusion resistance influence factor FSR, the final infusion speed adjustment coefficient PP is analyzed, and based on the final infusion speed adjustment coefficient PP, the final infusion speed analysis value ROP is output by this infusion speed analysis sub-module.

[0011] Optionally, the data acquisition module collects the patient's heart rate value data through an electrocardiogram monitor and collects the patient's body temperature value through a temperature measuring device.

[0012] Optionally, the data processing module cleans the input data and uses a filtering algorithm to remove noise and interference in the data.

[0013] Optionally, the management control module saves records and real-time monitors the physiological state influence factor, the infusion resistance influence factor, and the final infusion speed analysis value. When the data exceeds the safe range, the system transmits a signal to the control center and issues an audible and visual alarm signal in a timely manner.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: First, the present invention outputs the physiological state influence factor through the physiological state analysis sub-module. The physiological state analysis sub-module synthesizes three key physiological indicators of central venous pressure, heart rate, and body temperature, and calculates the comprehensive physiological state influence factor. This enables the system to comprehensively and accurately evaluate the patient's physiological state, rather than relying on a single indicator only. The system can promptly detect changes in the patient's physiological state and provide a basis for subsequent infusion adjustment.

[0015] Second, the present invention outputs the infusion resistance influence factor through the resistance influence analysis sub-module. The resistance influence analysis sub-module synthesizes the influence of infusion liquid viscosity, infusion pipeline length, infusion pipeline inner diameter, and central venous pressure on infusion resistance, and obtains the infusion resistance and efficiency factor. It can accurately calculate the actual infusion resistance, effectively avoid affecting the infusion effect due to improper resistance, ensure the smoothness of the infusion process, and guarantee the smooth progress of the infusion treatment.

[0016] Third, the present invention outputs the final infusion speed analysis value through the infusion speed analysis sub-module. The infusion speed analysis sub-module combines the calculation results of the physiological state analysis sub-module and the resistance influence analysis sub-module 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, making it meet the patient's physiological needs and adapt to the infusion physical conditions. Through precise evaluation and calculation, the system can promptly discover risk factors and adjust the speed, improve the safety of the infusion treatment, achieve personalized and precise treatment, and avoid waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flowchart of the method steps of the intravenous infusion monitor system combined with CVP measurement; Figure 2 is a schematic diagram of the overall structure of the intravenous infusion monitor system combined with CVP measurement; Figure 3 is a schematic diagram of the structure of the calculation and analysis module in the intravenous infusion monitor system combined with CVP measurement. Specific implementation manners

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0019] Most of the existing intravenous infusion monitor systems only focus on a single infusion parameter, such as infusion speed or infusion volume, while ignoring the overall physiological state of the patient. The physiological state of the patient is a complex whole, and physiological indicators such as central venous pressure, heart rate, and body temperature may be interrelated and interact with each other. Monitoring a single parameter cannot comprehensively reflect the actual needs of the patient, which may lead to a mismatch between the infusion speed and the physiological state of the patient, affecting the treatment effect. In addition, when adjusting the infusion speed in the prior art, the influence of infusion resistance is often less considered. Factors such as the length and inner diameter of the infusion pipeline and the viscosity of the infusion liquid have an impact on the infusion resistance. Different infusion pipelines and liquids have different physical properties, and these properties will directly affect the smoothness of the infusion, which may in turn lead to inaccurate infusion speed or even infusion blockage, affecting the timely delivery of drugs and the treatment effect. Most of the existing infusion monitor systems adopt a fixed infusion plan and cannot be dynamically adjusted according to the real-time physiological state of the patient and the infusion conditions. During the infusion process, the physiological state of the patient may change at any time, such as the aggravation of the condition and the occurrence of complications. At the same time, the situation of the infusion pipeline and the liquid may also change. The fixed infusion plan may not be able to adapt to these changes, which may lead to too fast or too slow infusion speed, increasing the risk of the patient.

[0020] 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 discovers 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 to avoid affecting the infusion effect due to excessive or insufficient resistance, thereby ensuring smooth infusion. This system comprehensively considers the patient's physiological state 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.

[0021] Embodiment 1: See also Figures 1 to 3 This embodiment provides a technical solution: an intravenous infusion device monitoring system combined with CVP measurement, comprising: Data acquisition module: The data acquisition module is used to collect the patient's central venous pressure, heart rate and body temperature values; Data processing module: The patient's central venous pressure value, heart rate value and body temperature value are input into the data processing module, and the data processing module performs cleaning and processing, and checks the collected data to remove obviously abnormal data points. The data processing module outputs the currently measured central venous pressure value, the currently measured heart rate value and the currently measured body temperature value; Calculation and analysis module: input the currently measured central venous pressure value, the currently measured heart rate value and the currently measured body temperature value 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; 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, which uploads the input data to the control center for medical staff to view and take corresponding measures to ensure the safety and stability of the patient's intravenous infusion; The calculation and analysis module includes: a physiological state analysis submodule, a resistance influence analysis submodule and an infusion speed analysis submodule.

[0022] In this embodiment: The physiological state analysis sub-module calculates the comprehensive physiological state influence factor FQW by comprehensively considering three important physiological indicators, namely central venous pressure CVP, heart rate, and body temperature. This enables the system to comprehensively and accurately evaluate the patient's current physiological state, rather than being limited to a single indicator. For example, when a patient has a fever symptom, the increase in body temperature will cause the FQW value to increase, and at the same time, it may be accompanied by an increase in heart rate, further affecting the calculation result of FQW. The system can detect changes in the patient's physiological state in a timely manner based on the magnitude of FQW, providing a basis for subsequent infusion adjustment; The resistance influence analysis sub-module comprehensively considers the viscosity FSRA of the infusion fluid, the length FSRB and inner diameter of the infusion pipeline, and the influence of CVP on the infusion resistance, and calculates the infusion resistance and efficiency factor FSR. Different infusion fluids and pipeline characteristics will result in differences in infusion resistance, and changes in CVP will also affect the smoothness of infusion. Through the resistance influence analysis sub-module, the system can accurately calculate the actual resistance during the infusion process, avoiding affecting the infusion effect due to excessive or too small resistance. For example, when using a high-viscosity infusion fluid or a long and thin infusion pipeline, the FSR value will increase, indicating that the system needs to take corresponding measures to adjust the infusion speed; The infusion speed analysis sub-module combines the calculation results of the physiological state analysis sub-module and the resistance influence analysis sub-module 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, enabling the infusion speed to 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 with a large FQW and the infusion resistance is large with a large FSR, 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 accelerate the treatment process; By accurately evaluating the patient's physiological state and accurately calculating the infusion resistance, the system can detect potential risk factors in a timely manner and dynamically adjust the infusion speed. For example, when the patient's CVP is too high or the infusion resistance is too large, the system will automatically reduce the infusion speed to avoid problems such as excessive heart burden or poor infusion due to too fast infusion, thereby improving the safety of infusion treatment; Adjusting the infusion speed according to the patient's actual physiological state and infusion conditions can make the infusion treatment more personalized and precise. For example, for patients with unstable physiological states, appropriately adjusting the infusion speed can better maintain the patient's fluid balance and physiological functions, improve the treatment effect, and at the same time avoid treatment delays or complications caused by inappropriate infusion speed, contributing to the patient's faster recovery.

[0023] Accurately calculating the infusion resistance and dynamically adjusting the infusion rate can avoid unnecessary infusion waste and resource consumption. For example, when the infusion resistance is large, the system can timely adjust the infusion rate to avoid problems such as the rupture of the infusion pipeline or the damage of the infusion pump caused by forcibly increasing the infusion rate, thus saving medical resources; The three groups of formulas provide rich information for the monitoring system, including data in multiple aspects such as the patient's physiological state and infusion resistance. These data can help medical staff understand the patient's situation more comprehensively and make more accurate decisions. For example, medical staff can judge whether the patient needs to adjust the infusion plan or take other treatment measures according to the values of FQW and FSR; The monitoring system can automatically adjust the infusion rate according to the calculation results of the formulas, realizing the automatic 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 real-time monitor the patient's physiological indicators and infusion parameters, and when abnormal situations are found, automatically adjust the infusion rate to ensure the safety and stability of the infusion process; The combined application of the three groups of formulas endows the monitoring system with the characteristics of intelligence and can make adaptive adjustments according to the actual situation of the patient. The system can improve the prediction ability of the patient's physiological state and infusion needs by continuously learning and optimizing the parameters of the formulas, further enhancing the intelligence level of the system.

[0024] Please refer to Figures 1 to 3 , and the processing process of the physiological state analysis sub-module is as follows: ; Among them: FQW refers to the physiological state influence factor. The larger the FQW value, the more unstable the patient's physiological state; FA refers to the weight influence factor of the central venous pressure; FQWA refers to the currently measured central venous pressure value, with the unit of centimeter water column (cmH2O); It should be noted that CVP is the central venous pressure; FQWB refers to the normal reference value of the central venous pressure, with the unit of centimeter water column (cmH2O). Generally, the range is 5 - 12 cmH2O, and in this embodiment, it is set to 8 cmH2O; FQWC refers to the normal fluctuation range of the central venous pressure, with the unit of centimeter water column (cmH2O). Generally, the range is 3 - 5 cmH2O, and in this embodiment, it is set to 3 cmH2O; FB refers to the weight influence factor of the heart rate value; FQWD refers to the currently measured heart rate value, with the unit of beats per minute (bpm); FQWE refers to the normal reference value of heart rate, with the unit of beats per minute (bpm). Generally, the normal reference value of the resting heart rate of adults is 60 - 100 bpm, and in this embodiment, it is set to 80 bpm; FQWF refers to the normal fluctuation range of heart rate, with the unit of beats per minute (bpm). The normal fluctuation range of a normal person is 10 - 20 bpm, and in this embodiment, it is set to 15 bpm; FC refers to the weight influence factor of body temperature value; FQWG refers to the currently measured body temperature value, with the unit of degree Celsius (℃); FQWH refers to the normal reference value of body temperature, with the unit of degree Celsius (℃). The normal body temperature of a normal person is generally between 36 - 37.2℃, and in this embodiment, it is set to 36.5℃; FQWI refers to the normal fluctuation range of body temperature, with the unit of degree Celsius (℃). FQWI is generally 0.5 - 1℃, and in this embodiment, it is set to 0.7; Refers to the deviation degree between the currently measured central venous pressure value and the normal reference value of central venous pressure; Refers to the deviation degree between the currently measured heart rate value and the normal reference value of heart rate; Refers to the deviation degree between the currently measured body temperature value and the normal reference value of body temperature; 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 have positive and negative values, and the manifestation of smaller deviations and larger deviations in numerical values is not obvious enough. After squaring, regardless of whether the measured value is higher or lower than the reference value, the result is a positive value, and as the deviation degree increases, the squared value will increase rapidly, which can more significantly reflect the change in the deviation degree; When evaluating the physiological state, what we are more concerned about is the size of the deviation from the normal range, rather than whether it is higher or lower than the normal range. The squaring operation can eliminate the influence of positive and negative signs, enabling us to more intuitively measure the degree of deviation; Different physiological indicators have different normal fluctuation ranges. In order to make the deviation degrees of different indicators comparable, normalization processing is required. For example, using (FQWA - FQWB) 2 Divided 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 no normalization is performed, directly comparing their squared deviation values is meaningless. By dividing by the square of the fluctuation range, the deviation degree of each indicator can be measured on a relatively unified scale; Input the currently measured central venous pressure value FQWA, the currently measured heart rate value FQWD, and the currently measured body temperature value into the FQWG input. 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 sub-module outputs the physiological state influence factor FQW.

[0025] In this embodiment: The prior art usually only focuses on a single indicator to adjust the infusion rate. This sub-module innovatively integrates three important physiological indicators, namely CVP, heart rate, and body temperature. The human physiological state is a complex whole, and multiple physiological indicators are interrelated and interact with each other. For example, fever may cause an increase in heart rate, and at the same time, it will also affect blood circulation and fluid balance, thereby affecting the demand for infusion. By comprehensively considering these three indicators, it can more comprehensively and accurately reflect the patient's current physiological state and provide richer information for infusion adjustment. Calculate the degree of deviation of each indicator from the normal range in the form of the square difference and perform normalization processing. This method amplifies the influence of the indicator deviating from the normal range, so that when a certain indicator has a large deviation, it can be more significantly reflected in the value of FQW. For example, when the patient's heart rate is much higher than the normal range, the value of (FQWD - FQWE) 2 will increase significantly, thereby making FQW also increase significantly, reminding the system to adjust the infusion rate more cautiously.

[0026] Please refer to Figures 1 to 3 , and the processing process of the resistance influence analysis sub-module is as follows: ; Among them: FSR refers to the infusion resistance influence factor. The larger the FSR value, the greater the infusion resistance; QA refers to the infusion factor weight factor; FSRA refers to the viscosity of the infusion liquid, with the unit of 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 when flowing in the pipeline. For example, a viscous colloidal solution is more difficult to flow than normal saline because of its higher viscosity; FSRB refers to the length of the infusion pipeline, with the unit of meter (m). The longer the infusion pipeline, the greater the frictional force and resistance when the liquid flows in the pipeline, just like water flowing in a long water pipe is more difficult than in a short water pipe; FSRC refers to the inner diameter of the infusion pipeline, with the unit of meter (m); QB refers to the influence weight of the central venous pressure factor on the infusion resistance; FQWS refers to the maximum safe value of central venous pressure, with the unit of centimeter water column (cmH2O). In this embodiment, FQWS is set to 20 cmH2O; It refers to the influence relationship between the infusion resistance influence factor FSR and the viscosity of the infusion liquid FSRA, the length of the infusion pipeline FSRB, and the inner diameter of the infusion pipeline FSRC. In fluid mechanics, for laminar flow in a circular pipe, this item is a factor related to infusion resistance, which reflects the comprehensive influence of liquid viscosity and pipeline length on resistance. This item is derived from Poiseuille's law and can be obtained through the simplified integration of the Navier - Stokes equation. Eventually, a coefficient 8 will be naturally introduced in the relationship between the pressure gradient and the flow rate. This item fully conforms to Poiseuille's law and correctly describes the relationship between fluid resistance and viscosity, length, and radius; 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 pipeline radius. Therefore, the fourth power of the inner diameter is used here to represent the influence of the pipeline inner diameter on resistance, and the denominator reflects the effect of the pipeline inner diameter on infusion resistance. The smaller the inner diameter, the smaller the value, and the larger the overall value, that is, the greater the infusion resistance; It refers to the proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value FQWS of central venous pressure. When FQWA increases, the infusion resistance will increase accordingly. When FQWA approaches FQWS, the value approaches 1, then the value will be larger, indicating that the infusion resistance is greatly affected by FQWA. On the contrary, when FQWA is small, the value is small, the value approaches 1, indicating that FQWA has a small influence on infusion resistance; Based on the proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value FQWS of central venous pressure, it is input to the resistance influence analysis sub - module. And considering the influence of infusion resistance on liquid viscosity, pipeline length, and pipeline inner diameter, the resistance influence analysis sub - module outputs the infusion resistance influence factor FSR.

[0027] In this embodiment: When adjusting the infusion rate in the prior art, factors such as the length and inner diameter of the infusion tube and the viscosity of the infusion liquid are usually less considered. However, this sub-module takes these factors into account and comprehensively analyzes the influence of the physical properties during 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 both increase the infusion resistance and reduce the infusion efficiency. On the basis of considering the characteristics of the infusion tube and the liquid, the influence of the central venous pressure (CVP) on the infusion is also combined. The CVP reflects the pressure in the central vein. When the CVP increases, the infusion resistance will increase accordingly. By incorporating the CVP into the formula, the actual resistance and efficiency during the infusion process can be more accurately evaluated. This sub-module can help the monitoring system understand the actual resistance and efficiency during the infusion process. When the FSR value is larger, it indicates that the infusion resistance is greater and the infusion efficiency is lower. The system can adjust the infusion rate in a timely manner according to the FSR value to ensure the smooth progress of the infusion. When the FSR value is larger, the system can appropriately increase the pressure of the infusion pump or adjust the infusion tube to overcome the resistance and ensure that the infusion volume meets the treatment requirements.

[0028] Please refer to Figures 1 to 3 , and the processing procedure of the infusion rate analysis sub-module is as follows: ; ; Wherein: 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; RS refers to the preset value of the basic infusion rate adjustment coefficient, which is a coefficient preset according to the patient's initial condition and treatment plan. It takes into account the basic situation of the patient at the beginning of the infusion, such as the patient's age, the severity of the condition, and whether there are other complications. It provides a basic reference for the adjustment of the infusion rate. α refers to the weight of the physiological state influence factor, and β refers to the weight of the infusion resistance influence factor; refers to the influence degree of the physiological state influence factor FQW on the final infusion rate adjustment coefficient PP; refers to the influence degree of the infusion resistance influence factor FSR on the final infusion rate adjustment coefficient PP; Based on the cooperation of the physiological state influence factor FQW and the infusion resistance influence factor FSR, the final infusion rate adjustment coefficient PP is analyzed, and based on the final infusion rate adjustment coefficient PP, this infusion rate analysis sub-module outputs the final infusion rate analysis value ROP.

[0029] In this embodiment: This sub-module combines the physiological state influencing factor FQW in the physiological state analysis sub-module and the infusion resistance influencing factor FSR in the resistance influence analysis sub-module, comprehensively considering the influences of various aspects such as the patient's physiological state and the physical characteristics 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 actual situation of the patient and the infusion conditions; Through and to adjust the infusion rate in the form of, a non-linear adjustment mechanism is formed. This mechanism can more flexibly respond to the infusion requirements in different situations. For example, when FQW is larger it will increase the adjustment coefficient, thus more significantly affecting the infusion rate. For example, when FSR is larger, it will reduce PP to decrease the infusion rate to adapt to the larger infusion resistance; The infusion rate adjustment methods in the prior art are often relatively single, only considering a few factors, and the adjustment method is usually linear. However, this sub-module adopts a multi-factor comprehensive and non-linear adjustment method, which can more accurately meet the needs of different patients and infusion scenarios. This sub-module provides a final, scientific and reasonable basis for the infusion rate adjustment for the monitoring system. The system can accurately adjust the infusion rate of the infusion device according to the calculated final infusion rate adjustment coefficient PP value, so that the infusion rate can not only meet the physiological needs of the patient, but also adapt to the physical conditions during the infusion process, thereby improving the safety and effectiveness of the infusion treatment; Regarding the relationship between FQW, FSR and PP, FQW has a positive relationship with PP in this sub-module, while FSR is in the denominator and has an inverse relationship with PP. Furthermore, the relationships between FQW and FSR with respect to PP are respectively described as follows: FQW reflects the physiological state and infusion requirements. FQW is a comprehensive physiological state influencing factor. When FQW is larger, it means that the degree to which multiple physiological indicators such as the patient's central venous pressure, heart rate, and body temperature deviate from the normal range is greater, indicating that the patient's physiological state is more unstable. In this case, the patient may have conditions such as dehydration, shock, and infection, and the body's need for fluids and drugs is more urgent. In order to maintain the patient's blood circulation and correct physiological disorders, it is necessary to appropriately increase the infusion volume and rate to supplement blood volume, deliver drugs, etc. Therefore, FQW has a positive relationship with PP. When FQW increases, PP increases, thereby increasing the infusion rate; Infusion resistance and infusion risk reflected by FQW: FQW is the infusion resistance and efficiency factor. The larger the FQW, the greater the infusion resistance. Excessive infusion resistance may lead to problems such as poor infusion, liquid extravasation, and excessive vascular pressure, increasing the patient's pain and the risk of complications. To avoid these adverse consequences, the infusion rate needs to be reduced. Therefore, FQW has an inverse relationship with PP. When FQW increases, PP decreases, thereby reducing the infusion rate.

[0030] It should be noted that based on the calculation result of the resistance impact analysis sub-module, the infusion resistance impact factor FSR affects the weight impact factor FB of the heart rate value in the physiological state analysis sub-module, and further affects the calculation of the heart rate value on the physiological state impact factor FQW to form a cyclic iterative calculation form. The specific processing process is as follows: First: FB new = FB old + UF × (FSR - PPQ); Second: Set the iteration termination conditions: Termination condition 1: The number of iterations is 100 times; Termination condition 2: |FB new - FB old | < 0.01; Where: FB new refers to the weight impact factor of the heart rate value after iteration; FB old refers to the weight impact factor of the heart rate value before iteration; UF refers to the learning rate, which is used to control the update step size of the weight coefficient during each iteration; PPQ refers to the preset threshold, which is used to judge 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 term in the physiological state analysis sub-module needs to be adjusted. When FSR is less than PPQ, the adjustment direction of the weight coefficient is opposite; Regarding the value-taking method of PPQ, since doctors and medical staff have certain empirical understandings of the resistance and patient responses in different infusion situations during long-term clinical practice, a large number of clinical cases can be reviewed to analyze the changes in the patient's heart rate under different infusion resistances, as well as the corresponding treatment effects and complication occurrences, to determine a suitable PPQ value. For example, during the infusion process, when the infusion resistance reaches a certain value and the patient begins to show obvious heart rate fluctuations or other discomfort symptoms, this value can be used as a reference for PPQ; The specific value of PPQ may be affected by various factors, such as the material, length, and inner diameter of the infusion pipeline, the type and viscosity of the infusion liquid, as well as the individual differences of the patient. Generally speaking, for common infusion pipelines, that is, with a length of 1-2 meters, an inner diameter of 0.001-0.005 meters, and using common infusion liquids such as normal saline, through the analysis of clinical experience, the possible values of PPQ are 0.1-0.5. In this embodiment, PPQ is defined as 0.3; In this embodiment: In the human physiological system, there is a certain internal relationship between the infusion resistance and the heart rate. When the infusion resistance influence factor FSR increases, it means that the difficulty of the liquid entering the human body increases. In order to ensure sufficient blood circulation and tissue perfusion, the heart needs to work harder, which may lead to an increase in the heart rate. Thus, there is a correlation between FSR and FB. The infusion resistance influence factor FSR reflects the physical resistance situation during the infusion process, while the physiological state analysis sub-module reflects the physiological response of the patient. By iteratively updating the weight influence factor FB of the heart rate value in the physiological state analysis sub-module, the information of the infusion resistance can be transmitted to the evaluation of the patient's physiological state. When the infusion resistance influence factor FSR is large, increase the weight of the heart rate term, so that the system pays more attention to the change of the heart rate, because at this time the fluctuation of the heart rate may better reflect the physiological burden of the patient under high-resistance infusion. When the infusion resistance influence factor FSR is small, reduce the weight of the heart rate term to avoid overemphasizing the heart rate factor and make the calculation of FQW more balanced; By iteratively updating the weight influence factor FB of the heart rate value, the FB in the physiological state analysis sub-module can be dynamically adjusted according to the size of the infusion resistance influence factor FSR. When the infusion resistance is large, appropriately increase FB to make FQW better reflect the change of the physiological state of the patient under high-resistance infusion; when the infusion resistance is small, reduce FB to avoid overemphasizing the heart rate factor, so that the calculation result of FQW can more accurately reflect the actual physiological state of the patient; Since the physiological state influence factor FQW is one of the important factors for calculating the final infusion speed analysis value ROP, the optimized physiological state influence factor FQW can make the calculation of the final infusion speed analysis value ROP more accurate, thereby improving the accuracy of the infusion speed adjustment. For example, when the infusion resistance is large, by adjusting the physiological state influence factor FQW, the final infusion speed analysis value ROP more reasonably reduces the infusion speed to avoid complications caused by too fast infusion. When the infusion resistance is small, appropriately increase the infusion speed to accelerate the treatment process.

[0031] In the specific implementation process, a complete system is constituted by using multiple sub-modules in this method. The central venous pressure value FQWA measured currently, the heart rate value FQWD measured currently, and the body temperature value measured currently are input into the physiological state analysis sub-module FQWG. The physiological state analysis sub-module outputs the physiological state influence factor FQW. The physiological state analysis sub-module synthesizes three key physiological indicators, namely central venous pressure CVP, heart rate, and body temperature, and calculates the comprehensive physiological state influence factor FQW. This enables the system to comprehensively and accurately evaluate the patient's physiological state, rather than relying solely 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 adjustment.

[0032] Based on the proportional relationship between the currently measured central venous pressure value FQWA and the maximum safe value FQWS of the central venous pressure, it is input into the resistance influence analysis sub-module. The resistance influence analysis sub-module outputs the infusion resistance influence factor FSR. The resistance influence analysis sub-module synthesizes the influence of infusion liquid viscosity, pipe length and inner diameter, and central venous pressure on the infusion resistance, and calculates the infusion resistance and efficiency factor. It can accurately calculate the actual infusion resistance, effectively avoid affecting the infusion effect due to improper resistance, ensure the smoothness of the infusion process, and guarantee the smooth progress of the infusion treatment. Based on the cooperation of the physiological state influence factor FQW and the infusion resistance influence 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 sub-module outputs the final infusion speed analysis value ROP. The infusion speed analysis sub-module combines the calculation results of the physiological state analysis sub-module and the resistance influence analysis sub-module 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, making it meet the patient's physiological needs and adapt to the physical conditions of the infusion. Through precise evaluation and calculation, the system can promptly detect risk factors and adjust the speed, improving the safety of the infusion treatment, achieving personalized and precise treatment, and avoiding resource waste.

[0033] It should be noted that a specific description is given for the intravenous infusion set combined with CVP measurement: The intravenous infusion set combined with CVP measurement includes: an infusion tube, a scale measurement device, a pressure sensor, a control module, and a display module. The infusion tube is used to convey liquid. The scale measurement device is built into the infusion tube and can display the height of the liquid in real time, thereby calculating the CVP value. The pressure sensor is installed at an appropriate position on the infusion tube, used to detect the pressure change in the vein and transmit the data to the control module. The control module is responsible for processing the data of the pressure sensor, calculating the CVP value according to the reading of the scale measurement device, and finally displaying the CVP value and the infusion state to the medical staff in real time through the display module.

[0034] The usage process of the intravenous infusion set combined with CVP measurement is as follows: S1. Connect the infusion set to the patient's venous access; S2. Turn on the infusion set, the liquid starts to be delivered, and the scale measuring device displays the liquid height in real time; S3. The pressure sensor detects the pressure in the vein, and the control module calculates and displays the CVP value; S4. Medical staff adjust the treatment plan according to the displayed CVP value and infusion status.

[0035] This solution can effectively simplify the operation processes of CVP measurement and intravenous infusion, reduce the number of device replacements, lower the infection risk, and improve the convenience and accuracy of clinical operations.

[0036] The use of the intravenous infusion set combined with CVP measurement has the following effects: 1. By integrating the CVP measurement and intravenous infusion functions, the problems of complex operation and long time consumption of traditional devices are solved. 2. It can simplify the operation process and reduce the workload of medical staff; 3. With a built-in scale measuring device, accurate measurement of CVP is achieved; 4. Reduce the number of device replacements and lower the infection risk; 5. Improve the convenience and accuracy of clinical operations and enhance medical efficiency.

[0037] Embodiment 2: Based on the above embodiment: Please refer to Figure 1 、 Figure 2 and Figure 3 . The data acquisition module acquires the patient's heart rate value data through an electrocardiogram monitor and the patient's body temperature value through a temperature measuring device; In this embodiment: The data acquisition module also needs to obtain the length FSRB of the infusion pipeline and the inner diameter FSRC of the infusion pipeline. These two types of data can be obtained from the product manual of the infusion tube. Similarly, the viscosity FSRA of the infusion liquid needs to be obtained. It can be analyzed according to the configured drug components or directly measured using a concentration measuring device.

[0038] The data processing module cleans the input data and uses a filtering algorithm to remove noise and interference in the data; In this embodiment: The data input through the data processing module is efficiently preprocessed to avoid the impact of data disorder on subsequent calculations; The management control module stores records and monitors in real time the physiological state influencing factors, infusion resistance influencing factors, and the analyzed value of the final infusion rate. When the data exceeds the safe range, the system transmits a signal to the control center and issues an audible and visual alarm signal in a timely manner; In this embodiment: If the value of the physiological state influencing factor FQW is small, it indicates that the patient's physiological state is relatively stable, and the conventional infusion plan can be followed. If the value of the physiological state influencing factor FQW is large, it prompts that the patient's physiological state may be unstable, and medical staff need to further evaluate the patient's condition, and may need to adjust the infusion plan or take other treatment measures; If the value of the infusion resistance influencing factor FSR is small, it indicates that the infusion resistance is small and the infusion is relatively smooth, and the current infusion rate can be maintained. If the value of the infusion resistance influencing factor FSR is large, it prompts 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, etc.; Based on the analyzed value of the final infusion rate ROP, the infusion rate of the infusion device is adjusted. The system automatically controls the infusion pump to adjust the infusion rate, or it can also notify medical staff to manually control it. At the same time, the adjusted infusion rate is displayed on the display module or the monitoring interface for medical staff to refer to.

[0039] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A venous infusion monitor system combined with CVP measurement, characterized in that, include: Data acquisition module: The data acquisition module is used to collect the patient's central venous pressure, heart rate and body temperature values; Data processing module: The patient's central venous pressure value, heart rate value and body temperature value are input into the data processing module, and the data processing module performs cleaning and processing, and checks the collected data to remove obviously abnormal data points. The data processing module outputs the currently measured central venous pressure value, the currently measured heart rate value and the currently measured body temperature value; Calculation and analysis module: input the currently measured central venous pressure value, the currently measured heart rate value and the currently measured body temperature value 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; 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 takes corresponding measures to ensure the safety and stability of the patient's intravenous infusion.

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

3. The intravenous infusion monitor system combined with CVP measurement according to claim 2, wherein: The calculation formula of the physiological state analysis submodule is as follows: ； in: FQW refers to the influencing factor of physiological state, FA refers to the weight 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 weight 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 weight 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; Refers to the degree of deviation between the currently measured central venous pressure value and the normal reference value of central venous pressure; The degree of deviation between the heart rate value currently measured 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, 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 monitor system combined with CVP measurement according to claim 3, characterized in that: The calculation formula of the resistance impact analysis submodule is as follows: ； in: FSR refers to the infusion resistance influencing factor, QA refers to the infusion factor weight factor, FSRA refers to the viscosity of the infusion liquid, FSRB refers to the length of the infusion tube, FSRC refers to the inner diameter of the infusion tube, 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; It refers to the influence relationship among the infusion resistance influence factor FSR, the viscosity FSRA of the infusion liquid, the length FSRB of the infusion pipeline, and the inner diameter FSRC of the infusion pipeline; Refers to the proportional relationship of the currently measured central venous pressure value FQWA to the maximum safe value FQWS of the central venous pressure; The processing process of the resistance impact analysis submodule is as follows: 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.

5. The intravenous infusion monitor system combined with CVP measurement according to claim 4, characterized in that: The calculation formula of the infusion rate analysis sub-module is as follows: ； ； Where: 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 influence factor, and β refers to the weight of the infusion resistance influence factor; Refers to the influence degree of the physiological state influencing factor FQW on the final infusion rate adjustment coefficient PP; It refers to the influence degree of the infusion resistance influence factor FSR on the final infusion speed adjustment coefficient PP; The processing process of the infusion rate analysis sub-module is as follows: Based on the cooperation of the physiological state influence factor FQW and the infusion resistance influence factor FSR, the final infusion rate adjustment coefficient PP is analyzed, and based on the final infusion rate adjustment coefficient PP, the final infusion rate analysis value ROP is output by this infusion rate analysis sub-module.

6. The intravenous infusion monitor system combined with CVP measurement according to claim 1, characterized in that: The data acquisition module collects the heart rate value data of the patient through an electrocardiogram monitor and collects the body temperature value of the patient through a temperature measurement device.

7. The intravenous infusion monitor 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.

8. The intravenous infusion monitor system combined with CVP measurement according to claim 1, characterized in that: The management control module stores and records and real-time monitors the physiological state influence factor, the infusion resistance influence factor, and the final infusion rate analysis value. When the data exceeds the safe range, the system transmits the signal to the control center and issues an audible and visual alarm signal in a timely manner.

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