A system for monitoring infusion measurement and data feedback when a patient is receiving nutrient solution

Abstract

The present invention discloses a system for monitoring infusion metering and data feedback when a patient inputs nutrient solution. The present invention relates to the field of infusion metering control technology, and solves the problem of not setting a periodic analysis and processing method, and gradually optimizing the flow limit of the infusion based on the relevant changes of the patient's vital sign data to achieve a better flow limit regulation effect. The present invention selects a group of partial line segments with the smallest numerical fluctuation amplitude from the partial line segments belonging to the standard interval through the specific performance of the heart rate data. The selection method adopts the method of determining the center line, and selects the partial line segments with the smallest amplitude based on the specific floating range of the center line, thereby selecting the best nutrient solution flow rate interval, and then linearly calculates the nutrient solution flow rate interval in the next group of cycles; based on the nutrient solution flow rate interval determined in each processing cycle, the nutrient solution flow rate interval will gradually decrease, so as to ensure that the nutrient solution flow input per unit time is in the best state.

Description

Technical Field

[0001] The invention relates to the technical field of infusion metering control, and in particular to a system for monitoring infusion metering and providing data feedback when a patient is receiving nutrient solution. Background Art

[0002] In the medical field, it is crucial to ensure that patients receive the required nutritional solution correctly. For patients who need nutritional support through intravenous infusion, monitoring the infusion metering and data feedback system can greatly improve safety and efficiency. Taking the hospital ICU ward as an example, patients often need 24-hour uninterrupted nutritional solution input, and the input amount per unit time is controlled based on changes in heart rate and vital signs.

[0003] The application with publication number CN111773482A discloses an intelligent ward infusion monitoring system and method, which belongs to the field of testing and metering technology. The existing infusion process is mainly monitored manually, with a high error rate, which affects the quality of treatment. An intelligent ward infusion monitoring system and method, a Bluetooth transmission module transmits the information detected by the detection end to the main control PC at the monitoring end for control, the main control PC is connected to the second display module and the second alarm to issue an alarm, when an abnormality is detected, it is displayed through the second display module connected to the main control PC, and the second alarm connected to the main control PC is used to issue an alarm, to give prompts to doctors and nursing staff; the information detected by the detection end of the Bluetooth transmission module includes: the temperature information detected by the temperature sensor of the constant temperature module; the infrared light receiver of the liquid level and dripping speed detection module detects whether the infrared light transmitter sends a light signal; the tension detected by the residual liquid detection module. The present invention is remotely monitored and controlled, and has the advantages of timely monitoring and convenient control operation.

[0004] During the process of infusion metering and current limiting control, the metered infusion is generally regulated in real time based on the changes in the patient's heart rate data. However, during the processing, a periodic analysis and processing method is not set up to gradually optimize the infusion flow limit based on the relevant changes in the patient's vital signs data to achieve a better current limiting control effect. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a system for monitoring infusion metering and data feedback when a patient is receiving nutrient solution, which solves the problem of not setting up a periodic analysis and processing method. Based on the relevant changes in the patient's vital signs data, the infusion flow limit is gradually optimized to achieve a better flow limiting regulation effect.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a system for monitoring the infusion metering and data feedback when a patient inputs a nutrient solution, comprising a metering monitoring end and a data feedback end, wherein the metering monitoring end is used to record the metering of the nutrient solution when the patient inputs the nutrient solution and simultaneously meter and limit the flow of the nutrient solution, and the data feedback end performs numerical analysis on the recorded nutrient solution metering data and the patient's real-time heart rate data;

[0007] The metering monitoring terminal includes:

[0008] The metering and current limiting control module records the amount of nutrient solution input per unit time for the patient and performs current limiting control;

[0009] The flow rate curve generation module generates the nutrient solution flow rate curve in real time based on the input amount of the patient's nutrient solution in different unit time. The horizontal coordinate axis of the curve is the timeline, and the vertical coordinate axis is the input amount.

[0010] The data feedback end includes:

[0011] Heart rate data monitoring module, which monitors the patient's heart rate data in real time;

[0012] The numerical feedback module performs relevant processing on the real-time monitored heart rate data to identify whether the heart rate data monitored at the current moment is normal. If it is normal, no numerical signal feedback is performed. If it is not normal, numerical signal feedback is performed to enable the metering current limiting control module to perform current limiting processing on the input quantity. The specific method is as follows:

[0013] The heart rate data monitored at the current moment is calibrated as XL, and the heart rate data XL is compared with the preset standard interval, and the endpoint values ​​of the standard interval are all preset values. When XL∈the standard interval, no processing is performed. In standard interval:

[0014] If XL>standard interval, a numerical downward adjustment signal is generated, and the flow rate data determination module identifies whether there is a downward adjustment period standard parameter. If so, it is synchronously transmitted to the metering current limiting control module. If not, the numerical downward adjustment signal is transmitted to the metering current limiting control module.

[0015] If XL is less than the standard interval, a numerical value increase signal is generated, and the flow rate data determination module identifies whether there is a rising cycle standard parameter. If so, it is synchronously transmitted to the metering current limiting control module. If not, the numerical value increase signal is transmitted to the metering current limiting control module.

[0016] The metering and current limiting control module increases the input amount of the nutrient solution if it receives a value increase signal, and decreases the input amount of the nutrient solution if it receives a value decrease signal. The value increased or decreased per unit time is the periodic standard parameter, and the regulation stops when the heart rate data falls within the standard interval;

[0017] The cycle data analysis module analyzes and processes the nutrient solution flow rate curve and heart rate data generated in the processing cycle based on the specified processing cycle, and locks the flow rate control interval expected to be used next week from the analyzed and processed data, and transmits it to the metering monitoring terminal; the specific method is as follows:

[0018] Based on the defined processing cycle T, where T is a preset value, the nutrient solution flow rate curve generated in the processing cycle T is determined, and then the heart rate data change curve is generated based on the heart rate data corresponding to different moments in the cycle, wherein the horizontal coordinate axis of the heart rate data change curve is the timeline, and the vertical coordinate axis is the heart rate data;

[0019] Based on the preset standard interval, lock the relevant points on the vertical axis of the heart rate data change curve, and the relevant points correspond to the endpoint values ​​of the standard interval. Confirm the partial line segments in the heart rate data change curve that are located in this standard interval one by one:

[0020] If there is only one group of the confirmed partial line segments, mark this partial line segment as the standard segment, lock the associated time period based on the time corresponding to the endpoints on both sides of this standard segment, determine the partial curve segment corresponding to this associated time period in the nutrient solution flow rate curve, determine the minimum flow rate and the maximum flow rate from the partial curve segment, and lock the flow rate control interval expected to be used next week;

[0021] If there are multiple groups of confirmed partial line segments, perform midline analysis on each group of partial line segments, and mark the heart rate data corresponding to different moments in the partial line segments as X. i , where i = 1, 2, ..., n:

[0022] OK X 1 With X 2 The midline between the two axes is a straight line and perpendicular to the vertical axis. The midline is located at X 1 With X 2 The vertical distances between the two points are equal;

[0023] Then confirm X 1 , X 2 and X 3 The midline between the three points, where the sum of the vertical distances between the upper points is equal to the sum of the vertical distances between the lower points;

[0024] Then confirm X 1 , X2 , X 3 and X 4 The midline between the two is determined in the same way as above, until X 1 , X 2 ,……,X n Stop after the midline between them is determined;

[0025] From the confirmed groups of center lines, identify the highest center line and the lowest center line, and record the numerical range between the highest center line and the lowest center line;

[0026] Then confirm the numerical ranges of other partial line segments one by one, select the minimum numerical range from the different numerical ranges corresponding to different partial line segments, calibrate the partial line segment corresponding to the minimum numerical range as the standard segment, lock the associated time period based on the time corresponding to the endpoints on both sides of the standard segment, determine the partial curve segment corresponding to the associated time period in the nutrient solution flow rate curve, determine the minimum flow rate and the maximum flow rate from the partial curve segment, and lock the flow rate control interval expected to be used next week.

[0027] Preferably, the metering monitoring end receives the flow rate control interval and performs flow rate control on the internal metering current limiting control module, and the controlled parameters are within the flow rate control interval.

[0028] Preferably, the data feedback end further includes a flow rate data determination module, and the flow rate data determination module selects a time period with the maximum value decrease amplitude and a time period with the maximum value increase amplitude from the standard segments determined in the periodic data analysis module, and then locks the rising period standard parameter or the falling period standard parameter based on the flow rate change values ​​corresponding to the two time periods; the specific method is:

[0029] Determine the value-decreasing segment and the value-increasing segment from the standard segment:

[0030] Determine the heart rate data drop value between adjacent moments from the value drop segment, determine the maximum value from a number of heart rate data drop values, calibrate the time period between adjacent moments corresponding to the maximum value drop as the time period with the maximum value drop, and calibrate the flow rate change value corresponding to the time period with the maximum value drop as the standard parameter for the downward adjustment period;

[0031] Determine the rising value of the heart rate data between adjacent moments from the rising segment of the numerical value, determine the maximum value from several rising values ​​of the heart rate data, calibrate the time period between adjacent moments corresponding to the maximum value as the time period with the maximum numerical rising amplitude, and calibrate the flow rate change value corresponding to the time period with the maximum numerical rising amplitude as the rising cycle standard parameter.

[0032] The present invention provides a system for monitoring the infusion measurement and data feedback when a patient is infusing nutrient solution. Compared with the prior art, it has the following beneficial effects:

[0033] The present invention selects a group of partial line segments with the smallest fluctuation amplitude from the partial line segments belonging to the standard interval according to the specific performance of the heart rate data. The selection method adopts the method of determining the middle line, and selects the partial line segments with the smallest amplitude based on the specific floating range of the middle line, thereby selecting the best nutrient solution flow rate interval, and then directly selects this nutrient solution flow rate interval in the next group of cycles;

[0034] Based on the nutrient solution flow rate interval determined in each processing cycle, the nutrient solution flow rate interval will gradually decrease to ensure that the nutrient solution flow rate input per unit time is in the optimal state, thereby achieving a better nutrient solution input metering effect;

[0035] Corresponding rising cycle standard parameters and falling cycle standard parameters will be generated in each cycle. When the flow rate is subsequently controlled, the specified cycle standard parameters will be used for adjustment to ensure the overall effect of flow rate control and ensure that during the control process, the heart rate data can quickly change to the standard range to achieve better flow rate control effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0038] Example 1

[0039] See also Figure 1 The present application provides a system for monitoring the infusion metering and data feedback when a patient inputs nutrient solution, including a metering monitoring end and a data feedback end, wherein the metering monitoring end and the data feedback end are bidirectionally connected, and the metering monitoring end is used to record the metering of the patient when the nutrient solution is input and to simultaneously meter and limit the flow of the nutrient solution, and the data feedback end performs numerical analysis on the recorded nutrient solution metering data and the patient's real-time heart rate data, determines the analysis signal and feeds it back to the metering monitoring end;

[0040] The metering monitoring end includes a metering current limiting control module and a flow rate curve generating module, wherein the metering current limiting control module is electrically connected to an input node of the flow rate curve generating module;

[0041] Among them, the data feedback end includes a heart rate data monitoring module, a periodic data analysis module, a flow rate data determination module and a numerical feedback module, wherein the heart rate data monitoring module is electrically connected to the periodic data analysis module and the numerical feedback module input node respectively, and the periodic data analysis module is electrically connected to the flow rate data determination module input node, and the numerical feedback module is electrically connected to the metering current limiting control module input node, and the flow rate data determination module is also electrically connected to the metering current limiting control module input node;

[0042] Among them, the metering and current limiting control module records the input amount of the patient's nutrient solution per unit time and performs current limiting control. The input amount record and current limiting control are collected or controlled by the sensor set in the input component;

[0043] The flow rate curve generation module generates a nutrient solution flow rate curve in real time based on the input amount of the patient's nutrient solution in different unit times, wherein the horizontal coordinate axis of the curve is the timeline and the vertical coordinate axis is the input amount, and transmits the real-time generated nutrient solution flow rate curve to the data feedback terminal;

[0044] The heart rate data monitoring module inside the data feedback end monitors the patient's heart rate data in real time, and transmits the real-time monitored heart rate data to the periodic data analysis module and the value feedback module;

[0045] The numerical feedback module performs relevant processing on the real-time monitored heart rate data to identify whether the heart rate data monitored at the current moment is normal. If it is normal, no numerical signal feedback is performed. If it is not normal, numerical signal feedback is performed to enable the metering current limiting control module to perform current limiting processing on the input quantity.

[0046] Among them, the specific method of identifying whether the heart rate data is normal is:

[0047] The heart rate data monitored at the current moment is calibrated as XL, and the heart rate data XL is compared with the preset standard interval, and the endpoint values ​​of the standard interval are all preset values, which are prepared in advance by the operator based on experience. When XL∈the standard interval, no processing is performed. In standard interval:

[0048] If XL>standard interval, a numerical downward adjustment signal is generated, and the flow rate data determination module identifies whether there is a downward adjustment period standard parameter. If so, it is synchronously transmitted to the metering current limiting control module. If not, the numerical downward adjustment signal is transmitted to the metering current limiting control module.

[0049] If XL is less than the standard interval, a numerical value increase signal is generated, and the flow rate data determination module identifies whether there is a rising cycle standard parameter. If so, it is synchronously transmitted to the metering current limiting control module. If not, the numerical value increase signal is transmitted to the metering current limiting control module.

[0050] The heart rate data is monitored by a related heart rate monitor. When the monitored heart rate data does not belong to this standard range, it means that the heart rate data is abnormal and needs to be adjusted in time. Because the corresponding patients are generally in the I CU ward and require real-time and uninterrupted nutrient solution delivery, real-time adjustment is required to ensure that the heart rate data of the corresponding patients remains in a normal state as much as possible.

[0051] Among them, the metering and current limiting control module increases the input amount of the nutrient solution if it receives a numerical increase signal, and decreases the input amount of the nutrient solution if it receives a numerical decrease signal. The value increased or decreased per unit time is the periodic standard parameter, and the regulation stops when the heart rate data falls into the standard range.

[0052] Example 2

[0053] Among them, the cycle data analysis module analyzes and processes the nutrient solution flow rate curve and heart rate data generated in the processing cycle based on the defined processing cycle, and locks the flow rate control interval expected to be used next week from the analyzed and processed data, and transmits it to the metering monitoring terminal. The specific method of locking the flow rate control interval is:

[0054] Based on the defined processing cycle T, where T is a preset value, the specific value of which is determined by the operator based on experience, the nutrient solution flow rate curve generated within the processing cycle T is determined, and then the heart rate data change curve is generated based on the heart rate data corresponding to different moments within the cycle, wherein the horizontal coordinate axis of the heart rate data change curve is the timeline, and the vertical coordinate axis is the heart rate data;

[0055] Based on the preset standard interval, lock the relevant points on the vertical axis of the heart rate data change curve, and the relevant points correspond to the endpoint values ​​of the standard interval. Confirm the partial line segments in the heart rate data change curve that are located in this standard interval one by one:

[0056] If there is only one group of the confirmed partial line segments, mark this partial line segment as the standard segment, lock the associated time period based on the time corresponding to the endpoints on both sides of this standard segment, determine the partial curve segment corresponding to this associated time period in the nutrient solution flow rate curve, determine the minimum flow rate and the maximum flow rate from the partial curve segment, and lock the flow rate control interval expected to be used next week;

[0057] If there are multiple groups of confirmed partial line segments, perform midline analysis on each group of partial line segments, and mark the heart rate data corresponding to different moments in the partial line segments as X. i , where i = 1, 2, ..., n, when i is 1, it means that the heart rate data is the data corresponding to the initial point of this part of the line segment, and when i is n, it means that the heart rate data is the data corresponding to the end point of this part of the line segment:

[0058] OK X 1 With X 2 The midline between the two axes is a straight line and perpendicular to the vertical axis. The midline is located at X 1 With X 2 The vertical distances between the two points are equal;

[0059] Then confirm X 1 , X 2 and X 3 The midline between the three points, where the sum of the vertical distances between the upper points is equal to the sum of the vertical distances between the lower points;

[0060] Then confirm X 1 , X 2 , X 3 and X 4 The midline between the two is determined in the same way as above, until X 1 , X 2 ,……,X n Stop after the midline between them is determined;

[0061] From the confirmed sets of center lines, identify the highest center line and the lowest center line, and record the numerical range between the highest center line and the lowest center line. Specifically, the numerical range is the heart rate data corresponding to the highest center line and the heart rate data corresponding to the lowest center line. Then, the numerical range can be determined based on the two sets of heart rate data.

[0062] Then, the numerical ranges of other partial line segments are confirmed one by one in turn, and the minimum numerical range is selected from the different numerical ranges corresponding to different partial line segments (the numerical range is the numerical difference between the endpoint values ​​of the corresponding ranges, so the minimum numerical range is the numerical range corresponding to the minimum numerical difference), and the partial line segment corresponding to the minimum numerical range is marked as the standard segment, and the associated time period is locked based on the time corresponding to the endpoints on both sides of the standard segment, and the partial curve segment corresponding to the associated time period is determined in the nutrient solution flow rate curve, and the minimum flow rate and the maximum flow rate are determined from the partial curve segment, and the flow rate control interval expected to be used next week is locked;

[0063] Specifically, when the flow rate of the nutrient solution changes, the heart rate data of the patient will also change accordingly. In the process of change, there is an optimal nutrient solution flow rate. Therefore, based on the specific performance of the heart rate data, a group of partial line segments with the smallest fluctuation amplitude of the value are selected from the partial line segments belonging to the standard interval. The selection method adopts the method of determining the middle line, and the partial line segments with the smallest amplitude are selected based on the specific floating range of the middle line, so as to select the optimal nutrient solution flow rate interval, and then the nutrient solution flow rate interval is linearly selected in the next group of cycles;

[0064] Based on the nutrient solution flow rate range determined in each processing cycle, the nutrient solution flow rate range will gradually decrease to ensure that the nutrient solution flow rate input per unit time is in the optimal state, thereby achieving a better nutrient solution input metering effect.

[0065] Among them, the metering monitoring end receives the flow rate control interval and performs flow rate control on the internal metering current limiting control module. The control parameters are within the flow rate control interval. Specifically, the metering monitoring end executes based on the flow rate control interval fed back by the data feedback end.

[0066] Among them, the flow rate data determination module selects the time period with the largest value decrease and the time period with the largest value increase from the standard sections determined in the periodic data analysis module, and then locks the rising period standard parameter or the falling period standard parameter based on the flow rate change values ​​corresponding to the two time periods, wherein the specific locking method is:

[0067] Determine the value-decreasing segment and the value-increasing segment from the standard segment:

[0068] Determine the heart rate data drop value between adjacent moments from the value drop segment, determine the maximum value from a number of heart rate data drop values, calibrate the time period between adjacent moments corresponding to the maximum value drop as the time period with the maximum value drop, and calibrate the flow rate change value corresponding to the time period with the maximum value drop as the standard parameter for the downward adjustment period;

[0069] Determine the rising value of the heart rate data between adjacent moments from the rising segment of the value, determine the maximum value from a number of rising values ​​of the heart rate data, calibrate the period between adjacent moments corresponding to the maximum value rising amplitude period as the period with the maximum value rising amplitude, and calibrate the flow velocity change value corresponding to the period with the maximum value rising amplitude period as the rising cycle standard parameter;

[0070] Among them, a set of rising cycle standard parameters or falling cycle standard parameters will be determined in each processing cycle. When such cycle standard parameters are generated in the next set of processing cycles, the cycle standard parameters generated in the previous set of processing cycles will be replaced and updated in real time for extraction by the numerical feedback module.

[0071] Example 3

[0072] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0073] Some of the data in the above formulas are numerically calculated by removing their dimensions. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0074] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A system for monitoring infusion measurement and data feedback when a patient is receiving nutrient solution, characterized in that: It includes a metering monitoring end and a data feedback end, wherein the metering monitoring end is used to record the metering of the nutrient solution when the patient inputs it and simultaneously meter and limit the flow of the nutrient solution, and the data feedback end performs numerical analysis on the recorded nutrient solution metering data and the patient's real-time heart rate data; The metering monitoring terminal includes: The metering and current limiting control module records the amount of nutrient solution input per unit time for the patient and performs current limiting control; The flow rate curve generation module generates the nutrient solution flow rate curve in real time based on the input amount of the patient's nutrient solution in different unit time. The horizontal coordinate axis of the curve is the timeline, and the vertical coordinate axis is the input amount. The data feedback end includes: Heart rate data monitoring module, which monitors the patient's heart rate data in real time; The numerical feedback module performs relevant processing on the real-time monitored heart rate data to identify whether the heart rate data monitored at the current moment is normal. If it is normal, no numerical signal feedback is performed. If it is not normal, numerical signal feedback is performed to enable the metering current limiting control module to perform current limiting processing on the input quantity. The cycle data analysis module analyzes and processes the nutrient solution flow rate curve and heart rate data generated in the processing cycle based on the specified processing cycle. From the analyzed and processed data, the flow rate control interval expected to be used next week is locked and transmitted to the metering monitoring terminal. The specific method is as follows: Based on the defined processing cycle T, where T is a preset value, the nutrient solution flow rate curve generated in the processing cycle T is determined, and then the heart rate data change curve is generated based on the heart rate data corresponding to different moments in the cycle, wherein the horizontal coordinate axis of the heart rate data change curve is the timeline, and the vertical coordinate axis is the heart rate data; Based on the preset standard interval, lock the relevant points on the vertical axis of the heart rate data change curve, and the relevant points correspond to the endpoint values ​​of the standard interval. Confirm the partial line segments in the heart rate data change curve that are located in this standard interval one by one: If there is only one group of the confirmed partial line segments, mark this partial line segment as the standard segment, lock the associated time period based on the time corresponding to the endpoints on both sides of this standard segment, determine the partial curve segment corresponding to this associated time period in the nutrient solution flow rate curve, determine the minimum flow rate and the maximum flow rate from the partial curve segment, and lock the flow rate control interval expected to be used next week; If there are multiple groups of confirmed partial line segments, perform midline analysis on each group of partial line segments, and mark the heart rate data corresponding to different moments in the partial line segments as X. i , where i=1, 2, ..., n: Determine the midline between X1 and X2, where the midline is straight and perpendicular to the vertical axis, and where the midline lies between X1 and X2 and is equidistant from the two points; Then determine the midline between X1, X2 and X3, where the midline is between the three points and the sum of the vertical distances between the upper points is equal to the sum of the vertical distances between the lower points; Then determine the median between X1, X2, X3 and X4 in the same way as above until X1, X2, ..., X n Stop after the midline between them is determined; From the confirmed groups of center lines, identify the highest center line and the lowest center line, and record the numerical range between the highest center line and the lowest center line; Then, the numerical ranges of other partial line segments are confirmed one by one, and the minimum numerical range is selected from the different numerical ranges corresponding to the different partial line segments, and the partial line segment corresponding to the minimum numerical range is marked as the standard segment. The associated time period is locked based on the time corresponding to the endpoints on both sides of the standard segment, and the partial curve segment corresponding to the associated time period is determined in the nutrient solution flow rate curve, and the minimum flow rate and the maximum flow rate are determined from the partial curve segment, and the flow rate control interval expected to be used next week is locked; The data feedback end also includes a flow rate data determination module, and the flow rate data determination module selects a time period with a maximum value decrease and a time period with a maximum value increase from the standard sections determined in the periodic data analysis module, and then locks the rising period standard parameter or the lowering period standard parameter based on the flow rate change values ​​corresponding to the two time periods. The specific method of locking the rising period standard parameter or the lowering period standard parameter is: Determine the value-decreasing segment and the value-increasing segment from the standard segment: Determine the heart rate data drop value between adjacent moments from the value drop segment, determine the maximum value from a number of heart rate data drop values, calibrate the time period between adjacent moments corresponding to the maximum value drop as the time period with the maximum value drop, and calibrate the flow rate change value corresponding to the time period with the maximum value drop as the standard parameter for the downward adjustment period; Determine the rising value of the heart rate data between adjacent moments from the rising segment of the value, determine the maximum value from a number of rising values ​​of the heart rate data, calibrate the period between adjacent moments corresponding to the maximum value rising amplitude period as the period with the maximum value rising amplitude, and calibrate the flow velocity change value corresponding to the period with the maximum value rising amplitude period as the rising cycle standard parameter; The specific method of the numerical feedback module to identify whether the heart rate data is normal is: The heart rate data monitored at the current moment is calibrated as XL, and the heart rate data XL is compared with the preset standard interval, and the endpoint values ​​of the standard interval are all preset values. When XL∈standard interval, no processing is performed. When XL∉standard interval: If XL>standard interval, a numerical downward adjustment signal is generated, and the flow rate data determination module identifies whether there is a downward adjustment period standard parameter. If so, it is synchronously transmitted to the metering current limiting control module. If not, the numerical downward adjustment signal is transmitted to the metering current limiting control module. If XL is less than the standard interval, a numerical adjustment signal is generated, and the flow rate data determination module identifies whether there is an upward cycle standard parameter. If so, it is synchronously transmitted to the metering current limiting control module. If not, the numerical adjustment signal is transmitted to the metering current limiting control module.

2. A system for monitoring infusion measurement and providing data feedback when a patient is receiving nutrient solution according to claim 1, characterized in that: The metering monitoring end receives the flow rate control interval and performs flow rate control on the internal metering current limiting control module, and the controlled parameters are within the flow rate control interval.

3. A system for monitoring infusion measurement and providing data feedback when a patient is receiving nutrient solution according to claim 1, characterized in that: If the metering and current limiting control module receives a numerical increase signal, it will increase the input amount of the nutrient solution. If it receives a numerical decrease signal, it will decrease the input amount of the nutrient solution. The value increased or decreased per unit time is the periodic standard parameter, and the regulation will be stopped until the heart rate data falls into the standard range.

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