Prenatal state evaluation system for puerpera

Abstract

The invention relates to the technical field of intelligent evaluation, in particular to a puerpera prenatal state evaluation system, which comprises a hospital data acquisition module for acquiring physical examination information and delivery information of a first target in a hospital; the hospital data analysis module is used for classifying the physical examination information, analyzing the pregnancy stage of the first target and constructing a hospital puerpera association database; the antenatal data acquisition module is used for acquiring puerpera information, antenatal sign data, antenatal activity data, antenatal diet data, antenatal access data and puerpera delivery expectation of a second target in real time; the puerpera physical sign analysis module is used for analyzing the physical sign state of the puerpera; the puerpera comprehensive analysis module is used for analyzing daily parameters of the puerpera; and the puerpera state evaluation module is used for evaluating the antenatal state of the second target according to the daily parameters of the puerpera and outputting the antenatal state of the second target. According to the invention, accurate evaluation of the prenatal state of the puerpera is realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent assessment technology, and in particular to a maternal prenatal status assessment system. Background Art

[0002] The prenatal status assessment of the mother is mainly based on a comprehensive consideration of the pregnant woman's health status and daily activities. Through the assessment, the doctor can promptly detect and deal with pregnancy complications and make adequate preparations for delivery, thereby ensuring the safety and smooth progress of delivery.

[0003] Chinese Patent Publication No.: CN112951434A discloses a method and system for intelligently evaluating the prenatal status of a parturient, including: obtaining first prenatal examination information; obtaining first obstetrician and gynecologist's first medical order recording information; obtaining first prenatal assessment information based on the first prenatal examination information and the first medical order recording information; obtaining the first emotional index of the first intimate user of the first parturient based on the first camera; obtaining second prenatal assessment information based on the first emotional index; inputting the first prenatal assessment information and the second prenatal assessment information into a delivery difficulty prediction model to obtain a first prediction index; obtaining the first intervention plan corresponding to the second prediction index based on the first correction rule. This invention realizes the evaluation of the prenatal status of the parturient through the interaction between the parturient and the doctor and relatives and friends, but does not realize the analysis of the prenatal status of the parturient based on historical parturient data, parturient physical sign data and daily activity data, and visit data of relatives and friends in a comprehensive hospital. There are problems of low efficiency in analyzing parturient data in the hospital and inaccurate evaluation of the prenatal status of the parturient. Summary of the invention

[0004] The object of the present invention is to provide a system for assessing the prenatal status of parturients to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A maternal prenatal status assessment system, comprising: The hospital data collection module is used to collect the physical examination information and delivery information of the first target in the hospital; A hospital data analysis module, for classifying the physical examination information according to the delivery information, and analyzing the pregnancy stage of the first target according to the physical examination information, and for analyzing the maternal-related parameters according to the collected physical examination information and delivery information of the first target in the hospital, and building a hospital maternal-related database according to the maternal-related parameters and the pregnancy stage of the first target; Antenatal data collection module, used to collect maternal information, antenatal physical sign data, antenatal activity data, antenatal diet data, antenatal visit data and maternal delivery expectations of the second target in real time; Maternal vital signs analysis module, used to analyze the maternal vital signs status based on maternal information, prenatal vital signs data and the hospital maternal related database; A maternal comprehensive analysis module is used to analyze maternal daily parameters based on antenatal activity data, antenatal diet data, antenatal visit data and maternal vital signs; The maternal status assessment module is used to assess the prenatal status of the second target based on the maternal daily parameters and output the prenatal status of the second target.

[0006] Furthermore, the hospital data analysis module is provided with a delivery data classification unit, which is used to classify the physical examination information according to the delivery information. If the delivery information is a normal delivery, the category of the physical examination information is set to one category; if the delivery information is a caesarean section, the category of the physical examination information is set to two categories; The hospital data analysis module is further provided with a hospital data analysis unit, which is used to analyze the maternal-related parameters according to the physical examination information of the first target, the hospital data analysis unit calculates the first physical examination parameter A1 according to the physical examination information of the first category, and the hospital data analysis unit calculates the second physical examination parameter A2 according to the physical examination information of the second category, and the hospital data analysis unit analyzes the maternal-related parameters according to the first physical examination parameter and the second physical examination parameter, and sets the maternal-related parameters to Q, and sets Q=A min / A max Among them, A min represents the minimum value of the first physical examination parameter and the second physical examination parameter, A max Indicates the maximum value of the first physical examination parameter and the second physical examination parameter.

[0007] Furthermore, the hospital data analysis module is also provided with a physical examination age analysis unit, which is used to compare the physical examination age Y1(i) with the age thresholds y1 and y2, and analyze the pregnancy stage of the first target according to the comparison result, wherein the pregnancy stage includes teenage pregnancy, appropriate age pregnancy and advanced age pregnancy; The hospital data analysis module is also provided with a database construction unit, which is used to construct a hospital maternal association database according to the maternal association parameters, the pregnancy stage of the first target and the physical examination information. If Q≥q, the database construction unit divides the physical examination information into three groups of data according to different pregnancy stages and stores them in the hospital maternal association database. If Q<q, the database construction unit divides the physical examination information into six groups of data according to different pregnancy stages and different classifications of physical examination information and stores them in the hospital maternal association database, wherein q represents the association threshold.

[0008] Further, the maternal physical sign analysis module is provided with a maternal physical sign analysis unit, which is used to analyze the maternal physical sign parameter B according to the prenatal physical sign data; The maternal vital sign analysis module is also provided with a vital sign fluctuation analysis unit, which is used to extract the maternal characteristic parameters within k hours before the current analysis time in the collected antenatal vital sign data as fluctuation analysis parameters, and number the fluctuation analysis parameters in the order of collection time, and analyze the antenatal vital sign fluctuation parameters C according to the fluctuation analysis parameters, wherein k represents the vital sign extraction parameter.

[0009] Furthermore, the maternal vital sign analysis module is also provided with a data association analysis unit, which is used to extract a data group from the hospital's maternal association database that has the same pregnancy stage as the second target and whose delivery information is the same as the maternal delivery expectations as the association analysis data group, and analyze the sign association parameter D based on the association analysis data group, the maternal vital sign parameters and the prenatal vital sign fluctuation parameters.

[0010] Furthermore, the maternal vital sign analysis module is also provided with a physical sign status judgment unit, which is used to compare the physical sign association parameter D with the physical sign association threshold d, and analyze the maternal physical sign status of the second target according to the comparison result to analyze the maternal physical sign status of the second target, and the maternal physical sign status includes normal and abnormal.

[0011] Furthermore, the maternal comprehensive analysis module is provided with a antenatal daily analysis unit, which is used to analyze the maternal daily parameters based on the comprehensive analysis data, and the antenatal daily analysis unit uses the threshold difference characteristics of the antenatal activity data and the antenatal diet data within the second target m days as the maternal daily parameter F.

[0012] Furthermore, the maternal comprehensive analysis module is also provided with a physical sign impact analysis unit, which is used to adjust the analysis process of the maternal daily parameters according to the maternal physical sign status. If the maternal physical sign status is abnormal, the physical sign impact analysis unit adjusts the analysis process of the maternal daily parameters, and the adjusted maternal daily parameters are F1.

[0013] Furthermore, the maternal comprehensive analysis module is also provided with an access association analysis unit, which is used to compare the access impact parameter Z with the access threshold z, and optimize the adjustment process of the maternal daily parameters according to the comparison result; when the access impact parameter meets the threshold, the adjustment process of the maternal daily parameters is optimized, and the optimized maternal daily parameters are F2.

[0014] Furthermore, the maternal status assessment module compares the maternal daily parameter F with the daily comparison thresholds f1 and f2, and analyzes the prenatal status of the second target based on the comparison results to analyze the prenatal status of the second target, and the prenatal status of the second target includes poor, good and excellent.

[0015] The beneficial effects of the present invention are as follows: through the collection of user data by the hospital data collection module and the prenatal data collection module, and the comprehensive analysis of the collected data by other modules, the prenatal status of the parturient is evaluated, and the prenatal status of the parturient is related to data from multiple angles, thereby improving the system's analysis efficiency of the parturient data in the hospital and improving the accuracy of the assessment of the parturient's prenatal status. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 Schematic diagram of the structure of the maternal prenatal status assessment system of this embodiment.

[0018] Figure 2 This is a schematic diagram of the structure of the hospital data analysis module in this embodiment.

[0019] Figure 3 Schematic diagram of the structure of the maternal vital signs analysis module in this embodiment.

[0020] Figure 4 Schematic diagram of the structure of the maternal comprehensive analysis module in this embodiment. DETAILED DESCRIPTION

[0021] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0022] It should be noted that, although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0023] See also Figure 1 As shown, it is a maternal prenatal status assessment system of this embodiment, including: The hospital data collection module is used to collect the physical examination information and delivery information of the first target in the hospital. The first target is a parturient who has undergone a physical examination and delivered a baby in the hospital. The physical examination information includes physical examination age, physical examination gestational age, physical examination heart rate and physical examination blood pressure. The physical examination blood pressure includes physical examination high pressure and physical examination low pressure. The delivery information includes normal delivery and caesarean section. The physical examination information and delivery information are obtained by importing them from the hospital management database. The hospital data analysis module is used to classify the physical examination information according to the delivery information, and to analyze the pregnancy stage of the first target according to the physical examination information. It is also used to analyze the maternal related parameters according to the physical examination information and delivery information of the first target in the hospital collected, and to build a hospital maternal related database according to the maternal related parameters and the pregnancy stage of the first target. The hospital data analysis module is connected to the hospital data collection module.

[0024] See also Figure 2 As shown, the hospital data analysis module includes: A delivery data classification unit is used to classify the physical examination information according to the delivery information of the first target in the hospital collected; the delivery data classification unit in this embodiment classifies the physical examination information according to the delivery information, if the delivery information is a normal delivery, the category of the physical examination information is set to one category, if the delivery information is a caesarean section, the category of the physical examination information is set to two categories; through the analysis of the delivery information of the first target by the delivery data classification unit, the physical examination information is divided into two categories according to the user's delivery method, thereby increasing the diversity of system analysis, thereby improving the system's analysis efficiency of maternal data in the hospital and improving the accuracy of maternal prenatal status assessment.

[0025] Please continue reading Figure 2 As shown, the hospital data analysis module also includes: The hospital data analysis unit is used to analyze the maternal related parameters according to the physical examination information of the first target, and use the maternal related parameters to represent the physical sign characteristic relationship between maternal women with different delivery methods. The hospital data analysis unit is connected to the delivery data classification unit.

[0026] Specifically, the hospital data analysis unit in this embodiment analyzes the maternal-related parameters according to the physical examination information of the first target, and calculates the first physical examination parameter according to the physical examination information of the first category, and sets the first physical examination parameter to A1, and sets: , The hospital data analysis unit calculates the second physical examination parameter according to the physical examination information of category 2, sets the first physical examination parameter to A2, and sets: , The hospital data analysis unit analyzes the maternal-related parameter according to the first physical examination parameter and the second physical examination parameter, sets the maternal-related parameter to Q, and sets Q=A min / A max ; Wherein, H1(i) represents the heart rate of the physical examination, i represents the physical examination user number, R1(i) represents the high pressure of the physical examination, R2(i) represents the low pressure of the physical examination, Y1(i) represents the age of the physical examination, W1(i) represents the gestational age of the physical examination, h represents the heart rate threshold, 75≤h≤115, r1 represents the high pressure threshold, 115≤r1≤125, r2 represents the low pressure threshold, 80≤r2≤90, U1 represents the set of physical examination user numbers corresponding to the physical examination information classified as one category, NU1 represents the number of physical examination information classified as one category, U2 represents the set of physical examination user numbers corresponding to the physical examination information classified as two categories, NU2 represents the number of physical examination information classified as two categories, A min represents the minimum value of the first physical examination parameter and the second physical examination parameter, A max Represents the maximum value of the first physical examination parameter and the second physical examination parameter. The hospital data analysis unit analyzes the physical examination information of the first target to analyze the first physical examination parameter and the second physical examination parameter, and uses the first physical examination parameter and the second physical examination parameter to respectively represent the physical sign characteristics in different types of physical examination data, thereby analyzing the maternal-related parameters, realizing a comprehensive analysis of the data, thereby improving the system's analysis efficiency of maternal data in the hospital, and improving the accuracy of the assessment of the maternal prenatal status; it can be understood that in this embodiment, the values ​​of the heart rate threshold, high pressure threshold and low pressure threshold are not specifically limited, and those skilled in the art can freely set them as long as they meet the analysis of the maternal-related parameters. The optimal values ​​of the heart rate threshold, high pressure threshold and low pressure threshold are: h=85, r1=120, r2=85.

[0027] Please continue reading Figure 2 As shown, the hospital data analysis module also includes: The physical examination age analysis unit is used to analyze the pregnancy stage of the first target according to the physical examination age, analyze the pregnancy stage of the first target according to the age, and realize the classification of the pregnancy age of the parturient.

[0028] Specifically, the physical examination age analysis unit in this embodiment compares the physical examination age with the age threshold, and analyzes the pregnancy stage of the first target according to the comparison result; if Y1(i)≤y1, the physical examination age analysis unit determines that the pregnancy stage of the first target is teenage pregnancy; if y1<Y1(i)<y2, the physical examination age analysis unit determines that the pregnancy stage of the first target is appropriate age pregnancy; if Y1(i)≥y2, the physical examination age analysis unit determines that the pregnancy stage of the first target is advanced age pregnancy, wherein y1 represents the first age threshold, y1∈{19,20}, and y2 represents the second age threshold, y2∈{34,35}.

[0029] Please continue reading Figure 2 As shown, the hospital data analysis module also includes: The database construction unit is used to construct a hospital maternity-related database based on maternity-related parameters, the pregnancy stage of the first target and physical examination information, and classify and store the physical examination data collected in the hospital according to their characteristic relationships. The database construction unit is connected to the hospital data analysis unit and the physical examination age analysis unit.

[0030] Specifically, the database construction unit in this embodiment constructs a hospital maternal association database according to the maternal association parameters, the pregnancy stage of the first target and the physical examination information. If Q≥q, the database construction unit divides the physical examination information into three groups of data according to different pregnancy stages and stores them in the hospital maternal association database. If Q<q, the database construction unit divides the physical examination information into six groups of data according to different pregnancy stages and different classifications of physical examination information to store them in the hospital maternal association database, wherein q represents the association threshold, 0.8≤q≤0.9; the database construction unit analyzes the maternal association parameters, the pregnancy stage of the first target and the physical examination information to construct a hospital maternal association database, and realizes unified classification management of maternal physical examination data, thereby improving the system's analysis efficiency of maternal data in the hospital and improving the accuracy of maternal prenatal status assessment; it can be understood that in this embodiment, the value of the association threshold is not specifically limited, and technical personnel in this field can set it freely, as long as it satisfies the construction of the hospital maternal association database. The optimal value of the association threshold is: q=0.85.

[0031] Please continue reading Figure 1 As shown, the maternal prenatal status assessment system also includes: The antenatal data collection module is used to collect the maternal information, antenatal vital sign data, antenatal activity data, antenatal diet data, antenatal visit data and maternal delivery expectations of the second target in real time. The second target is the puerpera who is currently undergoing antenatal status assessment. The maternal information includes the user's age and the user's gestational age. The antenatal vital sign data includes the user's heart rate and the user's blood pressure. The user's blood pressure includes the user's high blood pressure and the user's low blood pressure. The antenatal activity data includes the number of steps per day and the length of sleep per day. The maternal delivery expectations include normal delivery and caesarean section. In this embodiment, the physical examination blood pressure and user blood pressure are the systolic blood pressure and diastolic blood pressure measured by a blood pressure measuring instrument. The systolic blood pressure is the high blood pressure, and the diastolic blood pressure is the low blood pressure. Low pressure, the prenatal diet data includes diet time and diet data, the diet data is the second target daily carbon water intake, the unit of high pressure and low pressure is mmHg, the unit of prenatal diet data is g, the unit of daily sleep duration is h, the prenatal visit data includes visit time, visitor relationship, the visitor relationship includes but is not limited to family members and relatives, etc., such as the precise visitor relationship can be set as father, mother and bestie, etc., the maternal information, prenatal diet data, prenatal visit data and maternal delivery expectations are obtained by user interactive upload, and the prenatal physical sign data and prenatal activity data are obtained by measurement and upload through the smart device worn by the maternal; The maternal vital signs analysis module is used to analyze the maternal vital signs status according to the maternal information, prenatal vital signs data and the hospital maternal association database. The maternal vital signs analysis module is connected to the prenatal data collection module and the hospital data analysis module.

[0032] See also Figure 3 As shown, the maternal vital signs analysis module includes: The maternal physical sign analysis unit is used to analyze the maternal physical sign parameters according to the prenatal physical sign data, and use the maternal characteristic parameters to represent the characteristic relationship between the physical sign data of the second target.

[0033] Specifically, the maternal physical sign analysis unit in this embodiment analyzes the maternal physical sign parameters according to the prenatal physical sign data, sets the maternal physical sign parameters to B, and sets: , Among them, H2(i) represents the user's heart rate, R3(i) represents the user's high blood pressure, R4(i) represents the user's low blood pressure, Y2(i) represents the user's age, and W2(i) represents the user's gestational age. The maternal vital sign analysis unit analyzes the prenatal vital sign data to analyze the maternal vital sign parameters, so that the maternal vital sign parameters are consistent with the analysis process of the physical examination data in the hospital, thereby improving the system's analysis efficiency of the maternal data in the hospital and improving the accuracy of the assessment of the maternal prenatal status.

[0034] Please continue reading Figure 3As shown, the maternal physical sign analysis module also includes: The physical sign fluctuation analysis unit is used to analyze the prenatal physical sign fluctuation parameters according to the maternal physical sign parameters, and use the prenatal physical sign fluctuation parameters to represent the fluctuation characteristics of the maternal physical sign parameters of the second target within a period of time. The physical sign fluctuation analysis unit is connected to the maternal physical sign analysis unit.

[0035] Specifically, the physical sign fluctuation analysis unit in this embodiment extracts the maternal characteristic parameters within k hours before the current analysis time in the collected antenatal physical sign data as fluctuation analysis parameters, and numbers the fluctuation analysis parameters in the order of collection time, and analyzes the antenatal physical sign fluctuation parameters according to the fluctuation analysis parameters, and sets the antenatal physical sign fluctuation parameters to C, and sets: , Wherein, B(t) represents the fluctuation analysis parameter, t represents the fluctuation parameter number, k represents the physical sign extraction parameter, and 3≤k≤6. The fluctuation parameter number is defined as the number of the maternal characteristic parameters that distinguish different minutes. The physical sign wave analysis unit analyzes the maternal physical sign parameters to analyze the prenatal physical sign fluctuation parameters, so that the prenatal physical sign fluctuation parameters are related to the fluctuation characteristics of the maternal physical sign parameters over a period of time. The standard deviation characteristics are used as the prenatal physical sign fluctuation parameters to increase the diversity of system analysis, thereby improving the system's analysis efficiency of maternal data in the hospital and improving the accuracy of the assessment of the maternal prenatal status. It can be understood that in this embodiment, the value of the physical sign extraction parameter is not specifically limited, and the technicians in this field can set it freely, as long as the extraction of the fluctuation analysis parameters is satisfied. The optimal value of the physical sign extraction parameter is: k=3.

[0036] Please continue reading Figure 3 As shown, the maternal physical sign analysis module also includes: The data association analysis unit is used to analyze the physical sign association parameters according to the maternal physical sign parameters, the prenatal physical sign fluctuation parameters, the maternal information and the hospital maternal association database, and the physical sign association parameters are used to represent the association relationship between the physical sign data of the second target currently being analyzed and the physical sign data in the constructed hospital maternal association database. The data association analysis unit is connected to the physical sign fluctuation analysis unit.

[0037] Specifically, the data association analysis unit in this embodiment determines the pregnancy stage of the second target according to the maternal age of the second target. The determination process of the pregnancy stage of the second target is the same as that of the pregnancy stage of the first target, and will not be described in detail in this embodiment.

[0038] Specifically, the data association analysis unit in this embodiment extracts a data group in the hospital maternal association database that has the same pregnancy stage as the second target and the same delivery information as the maternal delivery expectation as the association analysis data group, and analyzes the physical sign association parameters according to the association analysis data group, the maternal physical sign parameters and the prenatal physical sign fluctuation parameters, and sets the physical sign association parameters to D, setting: , Among them, U3 represents the set of physical examination user numbers corresponding to the physical examination information in the association analysis data group, and NU3 represents the number of physical examination information in the association analysis data group.

[0039] Please continue reading Figure 3 As shown, the maternal physical sign analysis module also includes: The physical sign status judgment unit is used to analyze the physical sign status of the parturient according to the physical sign association parameters, and divide the physical sign status of the parturient into two categories according to the physical sign data of the parturient to increase the diversity of system analysis. The physical sign status judgment unit is connected to the data association analysis unit.

[0040] Specifically, the physical sign status judgment unit described in this embodiment compares the physical sign association parameter with the physical sign association threshold, and analyzes the maternal physical sign status according to the comparison result. If |D-1|≤d, the physical sign status judgment unit determines that the maternal physical sign status is normal; if |D-1|>d, the physical sign status judgment unit determines that the maternal physical sign status is abnormal; wherein d represents the physical sign association threshold, 0.1≤d≤0.15. It can be understood that the value of the physical sign association threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as it satisfies the judgment of the maternal physical sign status. The optimal value of the physical sign association threshold is: d=0.12.

[0041] Please continue reading Figure 1 As shown, the maternal prenatal status assessment system also includes: The maternal comprehensive analysis module is used to analyze the maternal daily parameters according to the antenatal activity data, antenatal diet data, antenatal visit data and the maternal physical sign status. The maternal comprehensive analysis module is connected to the maternal physical sign analysis module.

[0042] See also Figure 4 As shown, the maternal comprehensive analysis module includes: The data extraction unit is used to extract the second target's prenatal activity data, prenatal diet data and prenatal visit data as comprehensive analysis data, to achieve the extraction of maternal data within a period of time before delivery, and to increase the number of samples for system analysis.

[0043] Specifically, the data extraction unit in this embodiment extracts the prenatal activity data, prenatal diet data and prenatal visit data within m days as comprehensive analysis data, and numbers the comprehensive analysis data in chronological order, wherein m represents a comprehensive extraction parameter, and 3≤m≤7. It can be understood that the value of the comprehensive extraction parameter is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as it satisfies the extraction of the comprehensive analysis data. The optimal value of the comprehensive extraction parameter is: m=5.

[0044] Please continue reading Figure 4 As shown, the maternal comprehensive analysis module also includes: The prenatal daily analysis unit is used to analyze the daily parameters of the parturient according to the comprehensive analysis data, and the daily parameters of the parturient are used to represent the characteristic relationship between the daily activity data and the dietary data of the parturient in the extracted data.

[0045] Specifically, the antenatal daily analysis unit in this embodiment analyzes the daily parameters of the parturient according to the comprehensive analysis data. The antenatal daily analysis unit uses the threshold difference characteristics of the antenatal activity data and the antenatal diet data within the second target m days as the daily parameters of the parturient, and sets the daily parameters of the parturient to F. Set: , Wherein, M(j) represents the prenatal diet data, j represents the extraction day number, G(j) represents the daily sleep duration, L(j) represents the daily step number, α represents the diet threshold, 130≤α≤150, g represents the sleep threshold, 8≤g≤9. It can be understood that the values ​​of the diet threshold and the sleep threshold are not specifically limited in this embodiment, and those skilled in the art can freely set them as long as they meet the analysis of the daily parameters of the parturient. The optimal values ​​of the diet threshold and the sleep threshold are: α=130, g=8.

[0046] Please continue reading Figure 4 As shown, the maternal comprehensive analysis module also includes: The physical sign impact analysis unit is used to adjust the analysis process of the maternal daily parameters according to the maternal physical sign status, so that the adjusted maternal daily parameters are related to the maternal physical sign data. The physical sign impact analysis unit is connected to the prenatal daily analysis unit.

[0047] Specifically, the physical sign impact analysis unit in this embodiment adjusts the analysis process of the maternal daily parameters according to the maternal physical sign status. If the maternal physical sign status is normal, the physical sign impact analysis unit does not adjust the analysis process of the maternal daily parameters. If the maternal physical sign status is abnormal, the physical sign impact analysis unit adjusts the analysis process of the maternal daily parameters. The adjusted maternal daily parameters are F1, and F1=F / e is set. |D-1|; The physical sign impact analysis unit analyzes the maternal physical sign status to adjust the analysis process of the maternal daily parameters. When the maternal physical signs are abnormal, the analysis process of the maternal daily parameters is adjusted, thereby improving the system's analysis efficiency of maternal data in the hospital and improving the accuracy of the assessment of the maternal prenatal status.

[0048] Please continue reading Figure 4 As shown, the maternal comprehensive analysis module also includes: The visit association analysis unit is used to analyze the visit influence parameters according to the comprehensive analysis data, and optimize the adjustment process of the daily parameters of the parturient according to the visit influence parameters, so that the optimized daily parameters of the parturient are related to the visit data of the second target. The visit association analysis unit is connected to the time-even sign influence analysis unit.

[0049] Specifically, the access association analysis unit in this embodiment counts the number of access data during the second target diet period every day and uses it as the number of accesses. The access association analysis unit analyzes the access influence parameter according to the number of accesses, the prenatal diet data within the second target m days, and the prenatal access data, and sets the access influence parameter to Z. Set: , Where N(j) represents the number of visits.

[0050] Specifically, the access association analysis unit described in this embodiment compares the access impact parameter with the access threshold, and optimizes the adjustment process of the maternal daily parameters according to the comparison result. If Z≤z, the access association analysis unit determines that the access impact parameter does not meet the threshold, and does not optimize the adjustment process of the maternal daily parameters. If Z>z, the access association analysis unit determines that the access impact parameter meets the threshold, and optimizes the adjustment process of the maternal daily parameters. The optimized maternal daily parameters are F2, and F2=F1×e is set. Z ; The access association analysis unit analyzes the dietary data and access data of the second target within a period of time before delivery to analyze the access influencing parameters, so as to determine the impact of personnel visits on the diet of the parturient, and then optimize the adjustment process of the parturient's daily parameters. When the access influencing parameters meet the threshold, the adjustment process of the parturient's daily parameters is optimized, thereby improving the system's analysis efficiency of the parturient data in the hospital and improving the accuracy of the assessment of the parturient's prenatal status.

[0051] Please continue reading Figure 1 As shown, the maternal prenatal status assessment system also includes: The maternal status assessment module is used to assess the prenatal status of the second target according to the maternal daily parameters and output the prenatal status of the second target. The maternal status assessment module is connected to the maternal comprehensive analysis module.

[0052] Specifically, the maternal status assessment module described in this embodiment compares the maternal daily parameters with the daily comparison threshold, and analyzes the prenatal status of the second target based on the comparison result. If F<f1, the maternal status assessment module determines that the prenatal status of the second target is poor; if f1≤F≤f2, the maternal status assessment module determines that the prenatal status of the second target is good; if F>f2, the maternal status assessment module determines that the prenatal status of the second target is excellent, wherein f1 represents the first daily comparison threshold, and f2 represents the second daily comparison threshold; the maternal status assessment module analyzes the maternal daily parameters to evaluate the prenatal status of the second target, and realizes the comprehensive evaluation of the maternal prenatal status by combining the second target's physical sign data and the user's daily data, thereby improving the system's analysis efficiency of maternal data in the hospital and improving the accuracy of the maternal prenatal status assessment.

[0053] Specifically, in this embodiment, when the prenatal status of the second target is poor, a doctor or family member is required to accompany and communicate in order to adjust the mother's emotional state of mind. When the prenatal status of the second target is good, the family member can ask the mother about her expectations and communicate to ensure that the mother is emotionally stable. When the prenatal status of the second target is excellent, the accompanying family member can maintain the current state and maintain the mother's prenatal status.

[0054] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A maternal prenatal status assessment system, characterized in that: include: The hospital data collection module is used to collect the physical examination information and delivery information of the first target in the hospital; A hospital data analysis module, for classifying the physical examination information according to the delivery information, and analyzing the pregnancy stage of the first target according to the physical examination information, and for analyzing the maternal-related parameters according to the collected physical examination information and delivery information of the first target in the hospital, and building a hospital maternal-related database according to the maternal-related parameters and the pregnancy stage of the first target; Antenatal data collection module, used to collect maternal information, antenatal physical sign data, antenatal activity data, antenatal diet data, antenatal visit data and maternal delivery expectations of the second target in real time; Maternal vital signs analysis module, used to analyze the maternal vital signs status based on maternal information, prenatal vital signs data and the hospital maternal related database; A maternal comprehensive analysis module is used to analyze maternal daily parameters based on prenatal activity data, prenatal diet data, prenatal visit data and maternal physical signs; The maternal status assessment module is used to assess the prenatal status of the second target based on the maternal daily parameters and output the prenatal status of the second target.

2. The maternal prenatal status assessment system according to claim 1, characterized in that: The hospital data analysis module is provided with a delivery data classification unit, which is used to classify the physical examination information according to the delivery information. If the delivery information is a normal delivery, the category of the physical examination information is set to one category; if the delivery information is a caesarean section, the category of the physical examination information is set to two categories; The hospital data analysis module is further provided with a hospital data analysis unit, which is used to analyze the maternal-related parameters according to the physical examination information of the first target, the hospital data analysis unit calculates the first physical examination parameter A1 according to the physical examination information of the first category, and the hospital data analysis unit calculates the second physical examination parameter A2 according to the physical examination information of the second category, and the hospital data analysis unit analyzes the maternal-related parameters according to the first physical examination parameter and the second physical examination parameter, and sets the maternal-related parameters to Q, and sets Q=A min / A max ; Among them, A min represents the minimum value of the first physical examination parameter and the second physical examination parameter, A max Indicates the maximum value of the first physical examination parameter and the second physical examination parameter.

3. The maternal prenatal status assessment system according to claim 2, characterized in that: The hospital data analysis module is further provided with a physical examination age analysis unit, which is used to compare the physical examination age Y1(i) with the age thresholds y1 and y2, and analyze the pregnancy stage of the first target according to the comparison result, wherein the pregnancy stage includes teenage pregnancy, pregnancy at the appropriate age and pregnancy at an advanced age; The hospital data analysis module is also provided with a database construction unit, which is used to construct a hospital maternal association database according to the maternal association parameters, the pregnancy stage of the first target and the physical examination information. If Q≥q, the database construction unit divides the physical examination information into three groups of data according to different pregnancy stages and stores them in the hospital maternal association database. If Q<q, the database construction unit divides the physical examination information into six groups of data according to different pregnancy stages and different classifications of physical examination information and stores them in the hospital maternal association database, wherein q represents the association threshold.

4. The maternal prenatal status assessment system according to claim 3, characterized in that: The maternal physical sign analysis module is provided with a maternal physical sign analysis unit, which is used to analyze the maternal physical sign parameter B according to the prenatal physical sign data; The maternal vital sign analysis module is also provided with a vital sign fluctuation analysis unit, which is used to extract the maternal characteristic parameters within k hours before the current analysis time in the collected antenatal vital sign data as fluctuation analysis parameters, and number the fluctuation analysis parameters in the order of collection time, and analyze the antenatal vital sign fluctuation parameters C according to the fluctuation analysis parameters, wherein k represents the vital sign extraction parameter.

5. The maternal prenatal status assessment system according to claim 4, characterized in that: The maternal vital sign analysis module is also provided with a data association analysis unit, which is used to extract a data group from the hospital's maternal association database that has the same pregnancy stage as the second target and whose delivery information is the same as the maternal delivery expectations as the association analysis data group, and analyze the sign association parameter D based on the association analysis data group, the maternal vital sign parameters and the prenatal vital sign fluctuation parameters.

6. The maternal prenatal status assessment system according to claim 5, characterized in that: The maternal vital sign analysis module is also provided with a vital sign status judgment unit, which is used to compare the vital sign association parameter D with the vital sign association threshold d, and analyze the maternal vital sign status of the second target according to the comparison result to analyze the maternal vital sign status of the second target, wherein the maternal vital sign status includes normal and abnormal.

7. The maternal prenatal status assessment system according to claim 6, characterized in that: The maternal comprehensive analysis module is provided with a antenatal daily analysis unit, which is used to analyze the maternal daily parameters according to the comprehensive analysis data. The antenatal daily analysis unit uses the threshold difference characteristics of the antenatal activity data and the antenatal diet data within the second target m days as the maternal daily parameter F.

8. The maternal prenatal status assessment system according to claim 7, characterized in that: The maternal comprehensive analysis module is also provided with a physical sign impact analysis unit, which is used to adjust the analysis process of the maternal daily parameters according to the maternal physical sign status. If the maternal physical sign status is abnormal, the physical sign impact analysis unit adjusts the analysis process of the maternal daily parameters, and the adjusted maternal daily parameters are F1.

9. The maternal prenatal status assessment system according to claim 8, characterized in that: The maternal comprehensive analysis module is also provided with an access association analysis unit, which is used to compare the access impact parameter Z with the access threshold z, and optimize the adjustment process of the maternal daily parameters according to the comparison result. When the access impact parameter meets the threshold, the adjustment process of the maternal daily parameters is optimized, and the optimized maternal daily parameters are F2.

10. The maternal prenatal status assessment system according to claim 9, characterized in that: The maternal status assessment module compares the maternal daily parameter F with the daily comparison thresholds f1 and f2, and analyzes the prenatal status of the second target based on the comparison results to analyze the prenatal status of the second target, which includes poor, good and excellent.

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