Method and system for acquiring carcass physiological data based on ultrasonic examination

Abstract

The invention discloses a fetal body physiological data acquisition method and system based on ultrasonic examination, and relates to the technical field of prenatal ultrasonic detection, the system comprises an acquisition module, a comparison module, a storage module and an output module; the acquisition module acquires and processes the physiological data of the carcass for many times in real time; the comparison module calls the theoretical value and the reference value to be compared with data to be compared to obtain optimal physiological data; in the comparison process, the priority of the reference value is greater than the theoretical value; the storage module stores historical examination data and a medical standard data dictionary, and the theoretical value and the reference value are obtained according to the historical examination data and the medical standard data dictionary respectively; and the output module generates an ultrasonic data report according to the optimal data so as to be called by medical staff. The technical problem that the quality of an ultrasonic data report is reduced due to the fact that ultrasonic data collected by ultrasonic inspection equipment depends on manual judgment and is input into an ultrasonic system workstation is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic data processing, and in particular to a method and system for acquiring fetal physiological data based on ultrasonic examination. Background Art

[0002] Prenatal ultrasound examinations of pregnant women generally require the cooperation of four elements: ultrasound examination equipment, ultrasound system workstation, examination technician, and reporting physician. The process is as follows: the examination technician uses ultrasound examination equipment to scan the pregnant woman's abdomen to obtain key data that can evaluate the growth and development of the fetus; the examination technician selects the most representative data from multiple measurement values, and the reporting physician enters the selected measurement values ​​into the ultrasound system workstation for storage, and at the same time conducts a comprehensive analysis based on historical data and writes an ultrasound data report.

[0003] During the ultrasound examination, due to the natural movement of the fetus, the measurement data is prone to errors, especially in the early pregnancy, when the fetus is small and moves frequently, and the measurement errors are more obvious. In order to obtain the most accurate measurement value, the examination technician needs to measure repeatedly and select the most appropriate measurement value based on his or her own ultrasound medical knowledge and professional accumulation. However, the accuracy of the ultrasound data report is inevitably affected by the differences in the professional level of the examination technicians. The existing ultrasound examination equipment cannot intelligently recommend the optimal measurement value based on the historical examination data of the pregnant woman and the medical standard value to avoid measurement errors and human judgment errors, and cannot automatically match the corresponding measurement value to the ultrasound data report filled out by the reporting physician to avoid manual transcription errors. Ultrasound data reports are an important basis for clinical physicians' diagnosis. Therefore, it is extremely important to solve the technical problem of how to solve the specific situation of each pregnant woman and realize the intelligent analysis of data by ultrasound examination equipment, correct and recommend the optimal measurement value to improve the accuracy of ultrasound data reports. Summary of the invention

[0004] The purpose of the present application is to provide a method and system for acquiring fetal physiological data based on ultrasound examination, which solves the technical problem that the ultrasound data collected by the ultrasound examination equipment relies on manual judgment and is entered into the ultrasound system workstation, thereby causing the quality of the ultrasound data report to decline; the system corrects and selects the optimal value and automatically saves and generates an ultrasound data report, avoiding the adverse effects on the quality of the ultrasound data report caused by differences in the level of examination technicians and manual entry errors, and improving the accuracy of the ultrasound data report.

[0005] In order to solve the above technical problems, the solution adopted by this application is as follows:

[0006] The present invention provides a method for acquiring fetal physiological data based on ultrasound examination, characterized in that the method comprises the following steps:

[0007] Step S1: acquiring physiological data of the fetus in real time for multiple times, and processing the physiological data to obtain data to be compared; the physiological data includes head circumference, biparietal diameter, occipital-frontal diameter, abdominal circumference, femur length, heart rate, and meridian of the gestational sac;

[0008] Step S2: calling the theoretical value, the reference value and the data to be compared to obtain the optimal physiological data;

[0009] The implementation of the above step S2 includes the following steps:

[0010] Step S201: determine whether the data to be compared is within the medical standard data range; if the data to be compared is within the medical standard data range, execute step S202; if the data to be compared is not within the medical standard data range and the theoretical value is called, execute step S203; if the data to be compared is not within the medical standard data range and the theoretical value is not called at this time, execute step 204;

[0011] Step S202: Compare the deviation between the data to be compared and the reference value, and the data to be compared that is closest to the reference value is the optimal data;

[0012] Step S203: Compare the deviation between the data to be compared and the theoretical value, and the data to be compared that is closest to the theoretical value is the optimal data;

[0013] Step S204: taking the data to be compared as the optimal physiological data;

[0014] In the above step S2, the theoretical value refers to the current physiological data value of the fetus calculated according to the growth curve of the fetus in the current pregnancy period; the medical standard data is X±y; the above reference value is X, and y is the error range value of the reference value.

[0015] In some embodiments, in step S2, the step of obtaining the theoretical value includes:

[0016] Step S211: call historical inspection data; if historical inspection data is called, execute step S212; if historical inspection data is not called, execute step S215;

[0017] Step S212: after calculating the average growth curve and gestational period according to the historical examination data, execute step S213;

[0018] Step S213: according to the pregnancy period, call the current theoretical growth curve of the fetus and then execute step S214;

[0019] Step S214: the theoretical growth curve calibrates the average growth curve, and the data calculated according to the calibrated average growth curve and the historical inspection data is used as the theoretical value;

[0020] Step S215: Calculate the gestational period based on the acquired physiological data and then execute step S216;

[0021] Step S216: according to the gestational period, calling medical standard data as theoretical values;

[0022] The above theoretical growth curve is the medical standard growth curve.

[0023] In some embodiments, the theoretical value is calculated by the formula:

[0024] Y i =k i *X i

[0025] Wherein, i represents the i-th physiological data group, and i=1,2,3…; Y i represents the theoretical value of the ith physiological data set, X i represents the most recent measurement value of the i-th physiological data group; k i represents the average growth rate of the ith physiological data group;

[0026] This results in theoretical values ​​for the corresponding data set.

[0027] In some embodiments, in step S1, the physiological data processing step includes:

[0028] Step S11: Classify the physiological data into multiple physiological data groups; the data in each physiological data group are of the same type;

[0029] Step S12: Calculate the average value and median value of each physiological data group, and the average value and median value are the data to be compared.

[0030] The present invention provides a fetal physiological data acquisition system based on ultrasound examination, characterized in that, in order to implement the fetal physiological data acquisition method based on ultrasound examination according to claims 1 to 4, the system comprises:

[0031] The acquisition module is used to collect physiological data of the fetus and classify the physiological data; after classifying the collected physiological data, the acquisition module obtains the average value and median value of each physiological data group; the data collected by the acquisition module also includes the identity information of the pregnant woman;

[0032] A storage module is used to store historical test data and a medical standard data dictionary; the acquisition module transmits the identity information of the pregnant woman to the storage module for traversal, and if the same identity information of the pregnant woman appears, the corresponding historical examination data is read and the average growth curve, gestational period, and theoretical value are obtained; if the same identity information of the pregnant woman does not appear, the acquisition module calculates the gestational period according to the physiological data collected in real time, and transmits the gestational period to the storage module; the storage module retrieves standard data in the medical standard data dictionary according to the gestational period to obtain a benchmark value;

[0033] A comparison module is used to compare the data to be compared with the theoretical value and the reference value; the acquisition module transmits the data to be compared to the comparison module, and the comparison module calls the theoretical value and the reference value from the storage module to compare with the data to be compared to obtain the optimal data;

[0034] The above-mentioned medical standard data dictionary includes medical standard data and medical standard growth curve.

[0035] In some embodiments, an output module is also included, and the comparison module transmits the optimal data to the output module, and the output module integrates the optimal data into an ultrasound data report. At the same time, the output module transmits the optimal data to the storage module for storage.

[0036] The technical solution of the present application has at least the following advantages and beneficial effects:

[0037] 1. The present invention structures the collected physiological data to ensure more effective management and utilization of data; introduces a correction mechanism in the data processing process, and the theoretical growth curve calibrates the actual average growth curve to ensure the accuracy of the theoretical value, so that the theoretical value is more in line with reality and potential errors are eliminated; after the processing is completed, the data is automatically analyzed and reasonably matched to ensure that the selected and corrected optimal data can accurately reflect the actual situation; the optimal data is generated and automatically saved to generate an ultrasound data report, avoiding the adverse effects on the quality of the ultrasound data report caused by differences in the level of inspection technicians and manual input errors, and improving the accuracy of the ultrasound data report;

[0038] 2. In the present invention, each physiological data is used as a measurement dimension, and there is correlation between the various measurement dimensions; when selecting the optimal data of a certain dimension, it is not only based on the data of this dimension, but also takes into account the influence of data of other dimensions, thereby ensuring the comprehensiveness and accuracy of the optimal data from multiple aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a flow chart of the method of the present invention;

[0040] Figure 2 This is a diagram of the ultrasonic data processing process of the present invention. DETAILED DESCRIPTION

[0041] 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.

[0042] It should be noted that similar numbers and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further defined and explained in the subsequent figures. If the terms "center", "upper", "lower", "inner", "outer", etc. indicate an orientation or position relationship based on the orientation or position relationship shown in the figure, or the orientation or position relationship in which the product of the application is usually placed when in use, it is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application. It should also be noted that unless otherwise clearly specified and limited, if the terms "set", "install", and "connect" appear, they should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between the two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0043] Example 1

[0044] Please refer to Figure 1-Figure 2 The present invention provides a method for obtaining fetal physiological data based on ultrasound examination, which comprises the following steps:

[0045] Step S1: acquiring physiological data of the fetus in real time for multiple times, and processing the physiological data to obtain data to be compared; the physiological data includes head circumference, biparietal diameter, occipital-frontal diameter, abdominal circumference, femur length, heart rate, and meridian of the gestational sac;

[0046] Step S2: calling the theoretical value, the reference value and the data to be compared to obtain the optimal physiological data;

[0047] The implementation of the above step S2 includes the following steps:

[0048] Step S201: determine whether the data to be compared is within the medical standard data range; if the data to be compared is within the medical standard data range, execute step S202; if the data to be compared is not within the medical standard data range and the theoretical value is called, execute step S203; if the data to be compared is not within the medical standard data range and the theoretical value is not called at this time, execute step 204;

[0049] Step S202: Compare the deviation between the data to be compared and the reference value, and the data to be compared that is closest to the reference value is the optimal data;

[0050] Step S203: Compare the deviation between the data to be compared and the theoretical value, and the data to be compared that is closest to the theoretical value is the optimal data;

[0051] Step S204: taking the data to be compared as the optimal physiological data;

[0052] In the above step S2, the theoretical value refers to the current physiological data value of the fetus calculated according to the growth curve of the fetus in the current pregnancy period; the medical standard data is X±y; the above reference value is X, and y is the error range value of the reference value.

[0053] It needs to be explained that the medical standard data range is a range that fluctuates above and below a benchmark value;

[0054] It should be explained that the fetus refers to the embryo with a gestational period of 0 to 8 weeks and the fetus with a gestational period of 9 weeks or more.

[0055] In step S1, the physiological data processing step includes:

[0056] Step S11: Classify the physiological data into multiple physiological data groups; the data in each physiological data group are of the same type;

[0057] Step S12: Calculate the average value and median value of each physiological data group, and the average value and median value are the data to be compared.

[0058] It needs to be explained that the physiological data collected multiple times include multiple head circumference data, multiple biparietal diameters, multiple occipital-frontal diameters, multiple abdominal circumferences, multiple femoral lengths, multiple heart rates, and multiple gestational sac meridians. Multiple head circumference data are the same type of data, that is, multiple head circumference data constitute a physiological data group; similarly, multiple biparietal diameters, multiple occipital-frontal diameters, multiple abdominal circumferences, multiple femoral lengths, multiple heart rates, and multiple gestational sac meridians each constitute a physiological data group.

[0059] In step S2, the step of obtaining the theoretical value includes:

[0060] Step S211: call historical inspection data; if historical inspection data is called, execute step S212; if historical inspection data is not called, execute step S215;

[0061] Step S212: Calculate the average growth curve and estimate the gestational period based on the historical examination data;

[0062] Step S213: calling the current theoretical growth curve of the fetus according to the gestational period;

[0063] Step S214: the theoretical growth curve calibrates the average growth curve, and calculates the theoretical value according to the calibrated average growth curve and historical inspection data;

[0064] Step S215: Calculating the gestational period based on the acquired physiological data;

[0065] Step S216: according to the gestational period, calling medical standard data as theoretical values;

[0066] The above theoretical growth curve is the medical standard growth curve.

[0067] The theoretical growth curve calibrates the average growth curve and is used to evaluate and adjust the average growth curve to more accurately reflect the actual growth and eliminate possible bias or errors;

[0068] Specifically, through formula (1):

[0069]

[0070] Among them, c represents the most recent measurement value, d represents the first measurement value, and k represents the average growth rate;

[0071] This yields the average growth rate of the historical average growth curve of each physiological data group;

[0072] Furthermore, the theoretical value is calculated by formula (2):

[0073] Y i =k i *X i (2)

[0074] Wherein, i represents the i-th physiological data group, and i=1,2,3…; Y i represents the theoretical value of the ith physiological data set, X i represents the most recent measurement value of the i-th physiological data group; k i represents the average growth rate of the ith physiological data group;

[0075] This results in theoretical values ​​for the corresponding data set.

[0076] In step S203, the absolute values ​​of the differences between the average value, the median value and the theoretical value are calculated, using formula (3) and formula (4):

[0077] f=|Y i -a i | (3)

[0078] H=|Y i -b i | (4)

[0079] Where W is the absolute value of the difference between the average value and the theoretical value, a i represents the average value of the ith physiological data group; T represents the absolute value of the difference between the median value and the theoretical value, b i represents the median value of the ith physiological data group;

[0080] Compare the size relationship between W and T to determine which one is closer to the theoretical value. When W is less than T, the average value is closer to the theoretical value, and the average value is selected as the optimal data; when W is greater than T, the median value is closer to the theoretical value, and the median value is selected as the optimal data; when W is equal to T, the distance between the average value and the median value and the theoretical value is equal, and the median value is selected as the optimal data.

[0081] It should be noted that the processes of step S202 and step S203 are similar, and the only difference is that the absolute values ​​of the differences between the mean value, the median value and the reference value are calculated.

[0082] It is worth noting that in the comparison process, the benchmark value has a higher priority than the theoretical value; because the benchmark value represents the medical standard data, which is a universal standard, and the theoretical value is an expected value obtained by combining the historical examination data of the individual and the average growth curve. If the historical examination data of the fetus meets the medical standard data but the data of this examination has a large deviation from the benchmark value, the theoretical value is used as a reference to help select the optimal data.

[0083] In step S215, the gestational period is calculated based on the currently collected physiological data, the physiological data including the data of the meridian of the gestational sac;

[0084] It should be noted that the collected meridian data of the gestational sac include the length, width, thickness, maximum diameter of the gestational sac, and head-arm length; it does not include the measurement of the yolk sac and limbs; to ensure the accuracy of the data, the acquisition module can take the average of multiple measured data to reduce errors.

[0085] Specifically, in the process of calculating the gestational period, the application of the gestational sac meridian will vary depending on the developmental stage of the embryo.

[0086] When the fetus is an embryo, the gestational period is calculated by measuring the average inner diameter of the gestational sac or the maximum diameter of the gestational sac, using formula (5):

[0087]

[0088] Among them, L represents the length of the gestational sac, W represents the width of the gestational sac, and T represents the thickness of the gestational sac; It represents the average inner diameter of the gestational sac; N1 represents the number of gestational days;

[0089] Or, through formula (6):

[0090] N1=M+3 (6)

[0091] Among them, M represents the maximum diameter of the gestational sac;

[0092] The gestational days of the embryonic period are calculated by the above formula (5) or formula (6).

[0093] When the fetus is a fetus, the gestational age is calculated by measuring the fetal head-arm length, using formula (7):

[0094] N2=CRL+42 (7)

[0095] Among them, CRL is the head-arm length of the fetus; N2 represents the number of gestational days;

[0096] Or, through formula (8):

[0097] N3=CRL+6.5 (8)

[0098] Among them, N3 represents gestational age;

[0099] The gestational period of the embryonic period is calculated by the above formula (7) or formula (8).

[0100] The present invention also provides a fetal physiological data acquisition system based on ultrasound examination to implement the above-mentioned fetal physiological data acquisition method based on ultrasound examination, comprising:

[0101] The acquisition module is used to collect physiological data of the fetus and classify the physiological data; after classifying the collected physiological data, the acquisition module obtains the average value and median value of each physiological data group; the data collected by the acquisition module also includes the identity information of the pregnant woman;

[0102] A storage module is used to store historical test data and a medical standard data dictionary; the acquisition module transmits the identity information of the pregnant woman to the storage module for traversal, and if the same identity information of the pregnant woman appears, the corresponding historical examination data is read and the average growth curve, gestational period, and theoretical value are obtained; if the same identity information of the pregnant woman does not appear, the acquisition module calculates the gestational period according to the physiological data collected in real time, and transmits the gestational period to the storage module; the storage module retrieves standard data in the medical standard data dictionary according to the gestational period to obtain a benchmark value;

[0103] A comparison module is used to compare the data to be compared with the theoretical value and the reference value; the acquisition module transmits the data to be compared to the comparison module, and the comparison module calls the theoretical value and the reference value from the storage module to compare with the data to be compared to obtain the optimal data;

[0104] The above-mentioned medical standard data dictionary includes medical standard data and medical standard growth curve.

[0105] Furthermore, the acquisition module includes a classification table and a table of data to be compared;

[0106] Classification table, used to classify physiological data. The physiological data group in the classification table is represented by Q i ={A i1 , A i2 , A i3 , ..., A ij};

[0107] Wherein, i represents the i-th physiological data, and i=1,2,3…; j represents the j-th collection, and j=1,2,3…; A ij It means the i-th physiological data is collected for the j-th time; Q i represents the i-th physiological data group;

[0108] The data table to be compared is used to store the data to be compared, which is expressed as: i , b i};

[0109] Where i represents the i-th physiological data group; a i represents the average value of the i-th physiological data group; b i represents the median value of the ith physiological data group;

[0110] Specifically, through formula (9):

[0111]

[0112] Wherein, i represents the i-th physiological data group, and i=1,2,3…; j represents that there are j data in each group, and j=1,2,3…;

[0113] This is used to obtain the average value of each physiological data group.

[0114] Further, the storage module includes a pregnant woman information database and a medical standard data dictionary;

[0115] Specifically, the pregnant woman information database includes the pregnant woman's identity information and historical examination data; the storage module traverses the pregnant woman information database according to the pregnant woman's identity information. If the same pregnant woman's identity information appears, it means that the pregnant woman has had a pregnancy check before. At this time, the corresponding historical examination data is read and processed to obtain the average growth curve and pregnancy period; if the same pregnant woman's identity information does not appear, the pregnant woman's identity information is entered into the pregnant woman information database.

[0116] It should be noted that the priority of the pregnancy period obtained in the storage module is greater than the pregnancy period calculated by the acquisition module, and the storage module retrieves the medical standard data and the medical standard growth curve in the medical standard data dictionary according to the pregnancy period;

[0117] It needs to be explained that the medical standard data dictionary follows domestic unified standards.

[0118] It should be noted that the system also includes an output module. The comparison module transmits the optimal data obtained by comparison to the output module. The output module generates an ultrasound data report based on the data, and medical staff can retrieve the ultrasound data report at any time; at the same time, the output module transmits the data to the pregnant woman information database of the storage module for entry and storage.

[0119] The present invention structures the collected physiological data to ensure more effective management and utilization of the data; performs calibration during the data processing process to ensure the accuracy of the data; automatically analyzes and reasonably matches the data after the processing is completed to ensure that the selected optimal data can accurately reflect the actual situation; the optimal data finally obtained generates an ultrasound data report and automatically stores it in a module, avoiding the adverse effects on the quality of the ultrasound data report caused by differences in the levels of inspection technicians and manual input errors, and improving the accuracy of the ultrasound data report.

[0120] So far, various embodiments of the present invention have been described in detail. In order to avoid obscuring the concept of the present invention, some details known in the art are not described. Those skilled in the art can fully understand how to implement the technical solution invented here based on the above description, and the scope of the present invention is defined by the attached claims.

Claims

1. A method for acquiring fetal physiological data based on ultrasound examination, characterized in that: Its implementation includes the following steps: Step S1: acquiring physiological data of the fetus in real time for multiple times, and processing the physiological data to obtain data to be compared; the physiological data includes head circumference, biparietal diameter, occipital-frontal diameter, abdominal circumference, femur length, heart rate, and meridian of the gestational sac; Step S2: calling the theoretical value, the reference value and the data to be compared to obtain the optimal physiological data; The implementation of the above step S2 includes the following steps: Step S201: determine whether the data to be compared is within the medical standard data range; if the data to be compared is within the medical standard data range, execute step S202; if the data to be compared is not within the medical standard data range and the theoretical value is called, execute step S203; if the data to be compared is not within the medical standard data range and the theoretical value is not called at this time, execute step 204; Step S202: Compare the deviation between the data to be compared and the reference value, and the data to be compared that is closest to the reference value is the optimal data; Step S203: Compare the deviation between the data to be compared and the theoretical value, and the data to be compared that is closest to the theoretical value is the optimal data; Step S204: taking the data to be compared as the optimal physiological data; In the above step S2, the theoretical value refers to the current physiological data value of the fetus calculated according to the growth curve of the fetus in the current pregnancy period; the medical standard data is X±y; the above reference value is X, and y is the error range value of the reference value.

2. The method for acquiring fetal physiological data based on ultrasound examination according to claim 1, characterized in that: In step S2, the step of obtaining the theoretical value includes: Step S211: call historical inspection data; if historical inspection data is called, execute step S212; if historical inspection data is not called, execute step S215; Step S212: after calculating the average growth curve and gestational period according to the historical examination data, execute step S213; Step S213: according to the pregnancy period, call the current theoretical growth curve of the fetus and then execute step S214; Step S214: the theoretical growth curve calibrates the average growth curve, and the data calculated according to the calibrated average growth curve and the historical inspection data is used as the theoretical value; Step S215: Calculate the gestational period based on the acquired physiological data and then execute step S216; Step S216: according to the gestational period, calling medical standard data as theoretical values; The above theoretical growth curve is the medical standard growth curve.

3. The method for acquiring fetal physiological data based on ultrasound examination according to claim 2, characterized in that: The theoretical value is calculated by the formula: AND i =k i *X i Wherein, i represents the i-th physiological data group, and i=1,2,3…; Y i represents the theoretical value of the ith physiological data set, X i represents the most recent measurement value of the i-th physiological data group; k i represents the average growth rate of the ith physiological data group; This results in theoretical values ​​for the corresponding data set.

4. The method for acquiring fetal physiological data based on ultrasound examination according to claim 1, characterized in that: In step S1, the physiological data processing step includes: Step S11: Classify the physiological data into multiple physiological data groups; the data in each physiological data group are of the same type; Step S12: Calculate the average value and median value of each physiological data group, and the average value and median value are the data to be compared.

5. A fetal physiological data acquisition system based on ultrasound examination, characterized in that: To implement the method for acquiring fetal physiological data based on ultrasound examination as described in claims 1 to 4, the method comprises: The acquisition module is used to collect physiological data of the fetus and classify the physiological data; after classifying the collected physiological data, the acquisition module obtains the average value and median value of each physiological data group; the data collected by the acquisition module also includes the identity information of the pregnant woman; A storage module is used to store historical test data and a medical standard data dictionary; the acquisition module transmits the identity information of the pregnant woman to the storage module for traversal, and if the same identity information of the pregnant woman appears, the corresponding historical examination data is read and the average growth curve, gestational period, and theoretical value are obtained; if the same identity information of the pregnant woman does not appear, the acquisition module calculates the gestational period according to the physiological data collected in real time, and transmits the gestational period to the storage module; the storage module retrieves standard data in the medical standard data dictionary according to the gestational period to obtain a benchmark value; A comparison module is used to compare the data to be compared with the theoretical value and the reference value; the acquisition module transmits the data to be compared to the comparison module, and the comparison module calls the theoretical value and the reference value from the storage module to compare with the data to be compared to obtain the optimal data; The above-mentioned medical standard data dictionary includes medical standard data and medical standard growth curve.

6. The fetal physiological data acquisition system based on ultrasound examination according to claim 1, characterized in that: It also includes an output module, the comparison module transmits the optimal data to the output module, the output module integrates the optimal data into an ultrasound data report, and the output module transmits the optimal data to the storage module for storage.

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