Multifunctional infantile infusion monitoring bracelet and system thereof

Abstract

The invention belongs to the technical field of intelligent medical treatment, and discloses a multifunctional infantile infusion monitoring bracelet and a system thereof. Comprising a parameter monitoring module used for monitoring physiological parameters of a user in real time; the state monitoring module is used for receiving infusion state parameters in real time; the anomaly detection module is used for judging whether an alarm instruction is generated or not according to the physiological parameters of the user and the infusion state and sending the alarm instruction to the PDA terminal; the quick feedback module is used for quickly feeding back requirements of family members to the PDA end; risks in the child infusion process are effectively prevented, adverse reactions in the child infusion process are recognized in time, and hidden dangers of infusion or disease change are found as soon as possible; therefore, the intelligent level of infusion safety management is improved, the pediatric medical care quality is improved, and safety and comfort of children in the infusion process are ensured.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical technology, and more specifically, to a multifunctional pediatric infusion monitoring bracelet and a system thereof. Background Art

[0002] In the field of pediatric medicine, intravenous infusion is a common way to treat diseases, but pediatric patients often face unique challenges during the infusion process due to their physical characteristics and mobility. For example, children are active and not good at expressing themselves, and they are prone to problems such as infusion interruption, needle dislocation, or fluid leakage due to swinging their limbs or pulling out the infusion needle. In addition, children are highly sensitive to the external environment, and abnormalities during the infusion process (such as excessively fast fluid flow, changes in venous pressure, or fluid extravasation) may quickly cause discomfort or even endanger health. Therefore, how to monitor the infusion status of children in real time and accurately, and to provide timely warnings and interventions, has become an important topic in pediatric medical care.

[0003] Traditional infusion monitoring methods usually rely on manual inspection by nursing staff, which is not only time-consuming and labor-intensive, but also easily interfered by human factors. Especially when there are many patients, it is difficult for nursing staff to pay real-time attention to the infusion status of each patient. At the same time, some existing infusion monitoring devices are large in size and not suitable for children, or have a single function and cannot meet the diverse needs of pediatric infusion monitoring.

[0004] In view of this, the present invention proposes a multifunctional pediatric infusion monitoring bracelet and system thereof to solve the above-mentioned problems. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art and to achieve the above-mentioned purpose, the present invention provides the following technical solution: a multifunctional pediatric infusion monitoring system, comprising:

[0006] Parameter monitoring module, used to monitor user physiological parameters in real time;

[0007] A status monitoring module, used to receive infusion status parameters in real time;

[0008] The abnormality detection module determines whether to generate an alarm instruction based on the user's physiological parameters and infusion status, and sends the alarm instruction to the PDA end;

[0009] The quick feedback module is used to quickly feedback family members' needs to the PDA end.

[0010] Furthermore, the user's physiological parameters include heart rate, blood oxygen saturation and body temperature; the infusion status parameters include infusion rate and infusion volume; the infusion rate is the amount of liquid entering the body per unit time; the infusion volume is the total amount of liquid entering the body; family members' needs include pain, rash, blood return, bulging, no dripping, air, dressing change and needle removal;

[0011] The alarm instructions include a stay away instruction, a lesion instruction and an end instruction;

[0012] Methods for determining whether to generate a stay instruction include:

[0013] Get the wristband position coordinates, which are the real-time position coordinates of the infusion monitoring wristband; preset the infusion area radius and the center coordinates of the infusion area; calculate the coordinate distance between the wristband position coordinates and the center coordinates of the infusion area. The coordinate distance expression is: Where S is the coordinate distance, x1 is the horizontal coordinate of the wristband position coordinate, x2 is the horizontal coordinate of the center coordinate of the infusion area, y1 is the vertical coordinate of the wristband position coordinate, and y2 is the vertical coordinate of the center coordinate of the infusion area; the coordinate distance is compared with the radius of the infusion area; if the coordinate distance is greater than the radius of the infusion area, a move away instruction is generated; if the coordinate distance is less than or equal to the radius of the infusion area, no move away instruction is generated.

[0014] Furthermore, the method for determining whether to generate a lesion instruction includes:

[0015] Mark the user's physiological parameters and infusion status parameters as analysis parameters; obtain historical analysis parameters, and build an analysis forest based on the historical analysis parameters, where the historical analysis parameters are the analysis parameters obtained at historical moments; calculate the actual distance and expected distance of each parameter in the analysis parameters based on the analysis forest; calculate the abnormal value of each parameter in the analysis parameters based on the actual distance and expected distance of each parameter in the analysis parameters; preset the abnormal value threshold; compare the abnormal value of each parameter in the analysis parameters with the abnormal value threshold respectively; if the abnormal value of each parameter in the analysis parameters is less than the abnormal value threshold, no lesion instruction is generated; if there is an abnormal value of a parameter in the analysis parameters that is greater than or equal to the abnormal value threshold, a lesion instruction is generated.

[0016] Furthermore, the step of constructing the detection forest includes:

[0017] Step 1: According to the historical analysis parameters, the parameter range value is obtained, and the parameter range value includes the range value of each parameter in the analysis parameters; the maximum value of the range value corresponding to each parameter is the maximum value of the corresponding parameter in the historical analysis parameters, and the minimum value of the range value corresponding to each parameter is the minimum value of the corresponding parameter in the historical analysis parameters;

[0018] Step 2: Randomly select a parameter from the analysis parameters and mark it as the selected parameter;

[0019] Step 3: Randomly select a value in the parameter range corresponding to the selection parameter as a split point, and split the selection parameter according to the split point to obtain a split sub-set;

[0020] Step 4: Obtain the numerical range of each slicing sub-set, the maximum value of the numerical range is the maximum value of the numerical range in the slicing sub-set, and the minimum value of the numerical range is the minimum value of the numerical range in the slicing sub-set; randomly select a slicing point in the numerical range corresponding to each slicing sub-set, and obtain a total of q slicing points, where q is the number of slicing sub-sets; slicing each slicing sub-set according to the q slicing points;

[0021] Step 5: Loop step 4 until there is only one value in each segmentation sub-set, then the loop ends, obtain the detection tree corresponding to the selection parameter, and proceed to step 6;

[0022] Step 6: Loop through steps 2 to 5 until each of the analysis parameters is marked as a selection parameter. The loop ends and the detection trees corresponding to each selection parameter are combined into a detection forest.

[0023] Furthermore, the method of calculating the actual distance and the expected distance includes:

[0024] The actual distance is calculated by counting the number of times each parameter is split in each corresponding detection tree and marking it as the number of splits. Each number of splits is added up in sequence and then divided by the number of detection trees corresponding to the corresponding parameter to obtain the actual distance corresponding to the corresponding parameter.

[0025] The expected distance is calculated as: Where qw is the expected distance and m is the number of parameters in the historical analysis parameters.

[0026] Furthermore, the method of calculating the outlier includes: Where yc is the outlier and sj is the actual distance.

[0027] Further, the method for determining whether to generate an end instruction includes:

[0028] Count the duration of the infusion rate being 0 in the infusion status parameters and mark it as the pause duration; set a time threshold and compare the time threshold with the pause duration; if the pause duration is greater than or equal to the time threshold, generate an end instruction; if the pause duration is less than the time threshold, do not generate an end instruction;

[0029] The steps to set the time threshold include:

[0030] Step A: Set the search interval [M, N] and precision ε;

[0031] Step B: Determine the search sequence F(j);

[0032] Step C: Determine the partition coefficient F(z) from the search sequence;

[0033] Step D: Use the partition coefficient to divide the search interval to obtain two points ψ1 and ψ2;

[0034] Step E: Calculate the evaluation values ​​corresponding to ψ1 and ψ2 respectively;

[0035] Step F: Update the search interval;

[0036] Step G: Calculate the width υ of the search interval;

[0037] Step H: If the width υ is less than or equal to the precision ε, divide the width υ by 2 as the time threshold; if the width υ is greater than the precision ε, return to step C.

[0038] Furthermore, in step B, the search sequence

[0039] In step C, the method for determining the partition coefficient F(z) is: calculating the initial partition coefficient δ′, Subtract the initial partition coefficient from each value in the search sequence to obtain the numerical difference; sort each numerical difference from small to large, obtain the numerical value corresponding to the numerical difference at the front, and use it as the partition coefficient F(z).

[0040] Further, in the step D, Wherein, F(z-2) is the value of the first two digits of the search sequence before the partition coefficient F(z), and F(z-1) is the value of the first digit of the search sequence before the partition coefficient F(z);

[0041] In step F, the method for updating the search interval is: marking the evaluation value corresponding to ψ1 as the first evaluation value ω1, and marking the evaluation value corresponding to ψ2 as the second evaluation value ω2; if ω1<ω2, the search interval is updated to [ω1,N], that is, M=ω1; if ω1≥ω2, the search interval is updated to [M,ω2], that is, N=ω2;

[0042] In step G, the width υ is obtained by subtracting the minimum value from the maximum value of the search interval.

[0043] A multifunctional pediatric infusion monitoring bracelet is integrated with the multifunctional pediatric infusion monitoring system.

[0044] The technical effects and advantages of the multifunctional pediatric infusion monitoring system of the present invention are as follows:

[0045] It can monitor the physiological parameters and infusion status of children during infusion in real time, identify abnormal parameters through abnormal inspection, generate corresponding alarm instructions in time, and support quick feedback on family needs; effectively prevent risks during children's infusion, and timely identify adverse reactions during children's infusion, and discover hidden dangers of infusion or disease changes as early as possible; thereby improving the intelligence level of infusion safety management, improving the quality of pediatric medical care, and ensuring the safety and comfort of children during infusion. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a multifunctional pediatric infusion monitoring system according to embodiment 1 of the present invention;

[0047] Figure 2 This is a flow chart of the detection forest construction method of Example 1 of the present invention. DETAILED DESCRIPTION

[0048] 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.

[0049] Example 1

[0050] See also Figure 1 As shown, the multifunctional pediatric infusion monitoring system described in this embodiment includes a parameter monitoring module, a state monitoring module, an abnormality detection module and a quick feedback module; each module is connected by wired and / or wireless means to realize data transmission between modules;

[0051] The parameter monitoring module is used to monitor the user's physiological parameters in real time.

[0052] The user's physiological parameters include at least heart rate, blood oxygen saturation, body temperature, etc.; the user's physiological parameters are obtained through sensors such as photoplethysmography sensors and temperature sensors; the sensors for collecting the user's physiological parameters are integrated into the infusion monitoring bracelet; they are used to continuously track changes in the physiological parameters of children during the infusion process to ensure timely detection of abnormal situations.

[0053] The status monitoring module is used to receive the infusion status parameters in real time.

[0054] The infusion status parameters include at least the infusion rate and the infusion volume; the infusion rate is the amount of liquid entering the body per unit time; the infusion volume is the total amount of liquid entering the body; the infusion rate is obtained by a flow sensor (such as an electromagnetic flowmeter or an ultrasonic flowmeter) integrated in the infusion monitor; the infusion volume is obtained by a cumulative flow sensor integrated in the infusion monitor; the infusion monitor is hung on the dropper of the infusion device; the infusion monitor sends the real-time monitored infusion status parameters to the infusion monitoring bracelet.

[0055] The abnormality detection module determines whether to generate an alarm instruction based on the user's physiological parameters and infusion status, and sends the alarm instruction to the PDA end.

[0056] The alarm instructions include a stay away instruction, a pathological change instruction and an end instruction; the stay away instruction indicates that the child has been away from the infusion area; the pathological change instruction indicates that the child's user physiological parameters are abnormal; and the end instruction indicates that the child's infusion is over.

[0057] Methods for determining whether to generate a stay instruction include:

[0058] Obtain the wristband location coordinates, which are the real-time location coordinates of the infusion monitoring wristband, and are obtained by the GPS integrated in the infusion monitoring wristband; preset the infusion area radius and the infusion area center coordinates; the infusion area radius and the infusion area center coordinates are pre-set by technicians in this field through on-site survey records; calculate the coordinate distance between the wristband location coordinates and the infusion area center coordinates, and the coordinate distance expression is: In the formula, S is the coordinate distance, x1 is the horizontal coordinate of the wristband position coordinate, x2 is the horizontal coordinate of the center coordinate of the infusion area, y1 is the vertical coordinate of the wristband position coordinate, and y2 is the vertical coordinate of the center coordinate of the infusion area; the coordinate distance is compared with the radius of the infusion area; if the coordinate distance is greater than the radius of the infusion area, a stay away instruction is generated; if the coordinate distance is less than or equal to the radius of the infusion area, no stay away instruction is generated; if a stay away instruction is generated, the infusion monitoring wristband sends a first phone reminder to the mobile device of the child's parent, and the content of the first phone reminder is: Hello, for your infusion safety, please do not stay away from the infusion area during the infusion process, thank you.

[0059] Methods for determining whether to generate a lesion instruction include:

[0060] Mark the user's physiological parameters and infusion status parameters as analysis parameters; obtain historical analysis parameters, and build an analysis forest based on the historical analysis parameters, where the historical analysis parameters are the analysis parameters obtained at historical moments; calculate the actual distance and expected distance of each parameter in the analysis parameters based on the analysis forest; calculate the abnormal value of each parameter in the analysis parameters based on the actual distance and expected distance of each parameter in the analysis parameters; preset the abnormal value threshold, and the abnormal threshold is pre-set by technical personnel in this field according to actual conditions; compare the abnormal value of each parameter in the analysis parameters with the abnormal value threshold respectively; if the abnormal value of each parameter in the analysis parameters is less than the abnormal value threshold, no lesion instruction is generated; if there is an abnormal value of a parameter in the analysis parameters that is greater than or equal to the abnormal threshold, a lesion instruction is generated; if a lesion instruction is generated, the infusion monitoring bracelet sends a second phone reminder to the mobile device of the child's parent, and the content of the second phone reminder is: Hello, please contact medical staff immediately.

[0061] like Figure 2 As shown, the steps to build a detection forest include:

[0062] Step 1: According to the historical analysis parameters, the parameter range value is obtained, and the parameter range value includes the range value of each parameter in the analysis parameters; the maximum value of the range value corresponding to each parameter is the maximum value of the corresponding parameter in the historical analysis parameters, and the minimum value of the range value corresponding to each parameter is the minimum value of the corresponding parameter in the historical analysis parameters;

[0063] Step 2: Randomly select a parameter from the analysis parameters and mark it as the selected parameter;

[0064] Step 3: Randomly select a value in the parameter range corresponding to the selection parameter as a split point, and split the selection parameter according to the split point to obtain a split sub-set;

[0065] Step 4: Obtain the numerical range of each slicing sub-set, the maximum value of the numerical range is the maximum value of the numerical range in the slicing sub-set, and the minimum value of the numerical range is the minimum value of the numerical range in the slicing sub-set; randomly select a slicing point in the numerical range corresponding to each slicing sub-set, and obtain a total of q slicing points, where q is the number of slicing sub-sets; slicing each slicing sub-set according to the q slicing points;

[0066] Step 5: Loop step 4 until there is only one value in each segmentation sub-set, then the loop ends, obtain the detection tree corresponding to the selection parameter, and proceed to step 6;

[0067] Step 6: Loop through steps 2 to 5 until each of the analysis parameters is marked as a selection parameter. The loop ends and the detection trees corresponding to each selection parameter are combined into a detection forest.

[0068] Methods for calculating actual distance and expected distance include:

[0069] The calculation method of the actual distance is: count the number of times each parameter is split in each corresponding detection tree, and mark it as the number of splits, add each split number in sequence, and then divide it by the number of detection trees corresponding to the corresponding parameter, as the actual distance corresponding to the corresponding parameter; illustratively, the selection parameters include four data 2, 4, 6, and 9, and the split point is selected as 3. At this time, one split sub-set is 2, and the other split sub-set is 4, 6, and 9; the split point is selected as 7, at this time, one split sub-set is 4 and 6, and the other split sub-set is 9; the split point is selected as 5, at this time, one split sub-set is 4, and the other split sub-set is 6; therefore, the number of splits corresponding to 2 is 1, the number of splits corresponding to 4 and 6 is 3, and the number of splits corresponding to 9 is 2.

[0070] The expected distance is calculated as: Where qw is the expected distance and m is the number of parameters in the historical analysis parameters.

[0071] Methods for calculating outliers include: Where yc is the outlier and sj is the actual distance.

[0072] The method for determining whether to generate an end instruction includes:

[0073] The duration of the infusion rate of 0 in the infusion status parameters is counted and marked as the pause duration; a time threshold is set, and the time threshold is compared with the pause duration; if the pause duration is greater than or equal to the time threshold, an end instruction is generated; if the pause duration is less than the time threshold, no end instruction is generated; if an end instruction is generated, the infusion monitoring bracelet sends a third phone reminder to the mobile device of the child's parent, and the content of the third phone reminder is: Hello, your liquid has stopped dripping, please contact the nurse immediately.

[0074] The steps to set the time threshold include:

[0075] Step A: Set the search interval [M, N] and precision ε;

[0076] Step B: Determine the search sequence F(j);

[0077] Step C: Determine the partition coefficient F(z) from the search sequence;

[0078] Step D: Use the partition coefficient to divide the search interval to obtain two points ψ1 and ψ2;

[0079] Step E: Calculate the evaluation values ​​corresponding to ψ1 and ψ2 respectively;

[0080] Step F: Update the search interval;

[0081] Step G: Calculate the width υ of the search interval;

[0082] Step H: If the width υ is less than or equal to the precision ε, divide the width υ by 2 as the time threshold; if the width υ is greater than the precision ε, return to step C.

[0083] In the above step A, the search interval [M, N] and the precision ε are preset by those skilled in the art according to actual conditions.

[0084] In the above step B, the search sequence

[0085] In the above step C, the method for determining the partition coefficient F(z) is: calculating the initial partition coefficient δ′, Subtract the initial partition coefficient from each value in the search sequence to obtain the numerical difference; sort each numerical difference from small to large, obtain the numerical value corresponding to the numerical difference at the front, and use it as the partition coefficient F(z).

[0086] In the above step D, Wherein, F(z-2) is the value that ranks before the partition coefficient F(z) in the search sequence, and F(z-1) is the value that ranks before the partition coefficient F(z) in the search sequence.

[0087] In the above step E, the evaluation value is the accuracy of judging the end of infusion, and the evaluation values ​​corresponding to ψ1 and ψ2 are preset by those skilled in the art according to actual conditions.

[0088] In the above step F, the method for updating the search interval is: mark the evaluation value corresponding to ψ1 as the first evaluation value ω1, and mark the evaluation value corresponding to ψ2 as the second evaluation value ω2; if ω1<ω2, the search interval is updated to [ω1,N], that is, M=ω1; if ω1≥ω2, the search interval is updated to [M,ω2], that is, N=ω2.

[0089] In the above step G, the width υ is obtained by subtracting the minimum value from the maximum value of the search interval.

[0090] The PDA end is a handheld computer held by the nurse, which is connected to the hospital HIS system through wireless communication; when the alarm command is sent to the PDA end, the hospital HIS system sends the corresponding child characteristic data to the PDA end based on the infusion monitoring bracelet; the child characteristic data at least includes the child's name, disease type and family member's phone number.

[0091] Quick feedback module, used to quickly feedback family members' needs to the PDA end;

[0092] Family members can use the buttons integrated in the infusion monitoring bracelet to provide real-time feedback on their needs, that is, the infusion monitoring bracelet sends the family members' needs to the PDA end; family members' needs include pain, rash, blood return, bulging, no dripping, air, dressing change and needle removal; and family members can also use the "Baby Come on" button to play the encouragement video stored in the infusion monitoring bracelet, so that crying and uncooperative children or children with poor compliance will cooperate with the infusion. The encouragement video is stored in the infusion monitoring bracelet in advance by technical personnel in this field; in addition, the infusion monitoring bracelet will also play prompt information in a loop, and the prompt information includes: please do not destroy or discard the smart bracelet at will; please seek help from medical staff immediately after receiving an alarm; please do not change the liquid by yourself, and please return the smart bracelet after the infusion is completed.

[0093] This embodiment can monitor the physiological parameters and infusion status of children during infusion in real time, identify abnormal parameters through abnormal inspection, generate corresponding alarm instructions in time, and support quick feedback of family members' needs; effectively prevent risks during children's infusion, and timely identify adverse reactions during children's infusion, and discover hidden dangers of infusion or disease changes as early as possible; thereby improving the intelligent level of infusion safety management, improving the quality of pediatric medical care, and ensuring the safety and comfort of children during infusion.

[0094] Example 2

[0095] The present embodiment provides a multifunctional pediatric infusion monitoring bracelet, which integrates a multifunctional pediatric infusion monitoring system in the above-mentioned embodiment 1.

[0096] Example 3

[0097] One embodiment of the present application discloses a computer-readable storage medium. Computer-readable instructions are stored on the computer-readable storage medium. When the computer-readable instructions are executed by a processor, a multifunctional pediatric infusion monitoring system according to an embodiment of the present application described with reference to the above figures can be executed. The storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory (cache), etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0098] In addition, according to the embodiments of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the present application provides a non-transitory machine-readable storage medium, which stores machine-readable instructions, and the machine-readable instructions can be executed by a processor to execute instructions corresponding to the method steps provided in the present application, for example: a multifunctional pediatric infusion monitoring system. When the computer program is executed by a central processing unit (CPU), the above functions defined in the method of the present application are executed.

[0099] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0100] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A multifunctional pediatric infusion monitoring system, characterized in that: include: Parameter monitoring module, used to monitor user physiological parameters in real time; A status monitoring module, used to receive infusion status parameters in real time; The abnormality detection module determines whether to generate an alarm instruction based on the user's physiological parameters and infusion status, and sends the alarm instruction to the PDA end; The quick feedback module is used to quickly feedback family members' needs to the PDA end.

2. A multifunctional pediatric infusion monitoring system according to claim 1, characterized in that: The user's physiological parameters include heart rate, blood oxygen saturation and body temperature; the infusion status parameters include infusion rate and infusion volume; the infusion rate is the amount of liquid entering the body per unit time; the infusion volume is the total amount of liquid entering the body; the family members' needs include pain, rash, blood return, bulging, no dripping, air, dressing change and needle removal; The alarm instructions include a stay away instruction, a lesion instruction and an end instruction; Methods for determining whether to generate a stay instruction include: Get the wristband position coordinates, which are the real-time position coordinates of the infusion monitoring wristband; preset the infusion area radius and the center coordinates of the infusion area; calculate the coordinate distance between the wristband position coordinates and the center coordinates of the infusion area. The coordinate distance expression is: Where S is the coordinate distance, x1 is the horizontal coordinate of the wristband position coordinate, x2 is the horizontal coordinate of the center coordinate of the infusion area, y1 is the vertical coordinate of the wristband position coordinate, and y2 is the vertical coordinate of the center coordinate of the infusion area; the coordinate distance is compared with the radius of the infusion area; if the coordinate distance is greater than the radius of the infusion area, a move away instruction is generated; if the coordinate distance is less than or equal to the radius of the infusion area, no move away instruction is generated.

3. A multifunctional pediatric infusion monitoring system according to claim 2, characterized in that: Methods for determining whether to generate a lesion instruction include: Mark the user's physiological parameters and infusion status parameters as analysis parameters; obtain historical analysis parameters, and build an analysis forest based on the historical analysis parameters, where the historical analysis parameters are the analysis parameters obtained at historical moments; calculate the actual distance and expected distance of each parameter in the analysis parameters based on the analysis forest; calculate the abnormal value of each parameter in the analysis parameters based on the actual distance and expected distance of each parameter in the analysis parameters; preset the abnormal value threshold; compare the abnormal value of each parameter in the analysis parameters with the abnormal value threshold respectively; if the abnormal value of each parameter in the analysis parameters is less than the abnormal value threshold, no lesion instruction is generated; if there is an abnormal value of a parameter in the analysis parameters that is greater than or equal to the abnormal value threshold, a lesion instruction is generated.

4. A multifunctional pediatric infusion monitoring system according to claim 3, characterized in that: The steps of constructing the detection forest include: Step 1: According to the historical analysis parameters, the parameter range value is obtained, and the parameter range value includes the range value of each parameter in the analysis parameters; the maximum value of the range value corresponding to each parameter is the maximum value of the corresponding parameter in the historical analysis parameters, and the minimum value of the range value corresponding to each parameter is the minimum value of the corresponding parameter in the historical analysis parameters; Step 2: Randomly select a parameter from the analysis parameters and mark it as the selected parameter; Step 3: Randomly select a value in the parameter range corresponding to the selection parameter as a split point, and split the selection parameter according to the split point to obtain a split sub-set; Step 4: Obtain the numerical range of each slicing sub-set, the maximum value of the numerical range is the maximum value of the numerical range in the slicing sub-set, and the minimum value of the numerical range is the minimum value of the numerical range in the slicing sub-set; randomly select a slicing point in the numerical range corresponding to each slicing sub-set, and obtain a total of q slicing points, where q is the number of slicing sub-sets; slicing each slicing sub-set according to the q slicing points; Step 5: Loop step 4 until there is only one value in each segmentation sub-set, then the loop ends, obtain the detection tree corresponding to the selection parameter, and proceed to step 6; Step 6: Loop through steps 2 to 5 until each of the analysis parameters is marked as a selection parameter. The loop ends and the detection trees corresponding to each selection parameter are combined into a detection forest.

5. A multifunctional pediatric infusion monitoring system according to claim 4, characterized in that: Methods for calculating actual distance and expected distance include: The actual distance is calculated by counting the number of times each parameter is split in each corresponding detection tree and marking it as the number of splits. Each number of splits is added up in sequence and then divided by the number of detection trees corresponding to the corresponding parameter to obtain the actual distance corresponding to the corresponding parameter. The expected distance is calculated as: Where qw is the expected distance and m is the number of parameters in the historical analysis parameters.

6. A multifunctional pediatric infusion monitoring system according to claim 5, characterized in that: Methods for calculating outliers include: Where yc is the outlier and sj is the actual distance.

7. A multifunctional pediatric infusion monitoring system according to claim 6, characterized in that: The method for determining whether to generate an end instruction includes: Count the duration of the infusion rate being 0 in the infusion status parameters and mark it as the pause duration; set a time threshold and compare the time threshold with the pause duration; if the pause duration is greater than or equal to the time threshold, generate an end instruction; if the pause duration is less than the time threshold, do not generate an end instruction; The steps to set the time threshold include: Step A: Set the search interval [M, N] and precision ε; Step B: Determine the search sequence F(j); Step C: Determine the partition coefficient F(z) from the search sequence; Step D: Use the partition coefficient to divide the search interval to obtain two points ψ1 and ψ2; Step E: Calculate the evaluation values ​​corresponding to ψ1 and ψ2 respectively; Step F: Update the search interval; Step G: Calculate the width υ of the search interval; Step H: If the width υ is less than or equal to the precision ε, divide the width υ by 2 as the time threshold; if the width υ is greater than the precision ε, return to step C.

8. A multifunctional pediatric infusion monitoring system according to claim 7, characterized in that: In step B, the search sequence In step C, the method for determining the partition coefficient F(z) is: calculating the initial partition coefficient δ′, Subtract the initial partition coefficient from each value in the search sequence to obtain the numerical difference; sort each numerical difference from small to large, obtain the numerical value corresponding to the numerical difference at the front, and use it as the partition coefficient F(z).

9. A multifunctional pediatric infusion monitoring system according to claim 8, characterized in that: In the step D, Wherein, F(z-2) is the value of the first two digits of the search sequence before the partition coefficient F(z), and F(z-1) is the value of the first digit of the search sequence before the partition coefficient F(z); In step F, the method for updating the search interval is: marking the evaluation value corresponding to ψ1 as the first evaluation value ω1, and marking the evaluation value corresponding to ψ2 as the second evaluation value ω2; if ω1<ω2, the search interval is updated to [ω1,N], that is, M=ω1; if ω1≥ω2, the search interval is updated to [M,ω2], that is, N=ω2; In step G, the width υ is obtained by subtracting the minimum value from the maximum value of the search interval.

10. A multifunctional pediatric infusion monitoring bracelet, characterized in that: A multifunctional pediatric infusion monitoring system integrating claims 1-9.

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