Method and system for acquiring fetal physiological data based on ultrasound examination

Abstract

The present invention discloses a method and system for acquiring fetal physiological data based on ultrasound examination, which relates to the field of prenatal ultrasound detection technology. The method and system include an acquisition module, a comparison module, a storage module, and an output module. The acquisition module acquires and processes the physiological data of the fetus in real time and multiple times. The comparison module compares theoretical values ​​and reference values ​​with the data to be compared to obtain the optimal physiological data. During the comparison process, the reference value has a higher priority than the theoretical value. The storage module stores historical examination data and a medical standard data dictionary, and the theoretical value and reference value are obtained based on the historical examination data and the medical standard data dictionary, respectively. The output module generates an ultrasound data report based on the optimal data for medical staff to retrieve. The present invention solves the technical problem that the ultrasound data collected by ultrasound examination equipment relies on manual judgment and is entered into the ultrasound system workstation, which in turn causes the quality of the ultrasound data report to decline.

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 for pregnant women generally require the coordination 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 be used to 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. At the same time, the physician conducts a comprehensive analysis based on historical data and writes an ultrasound data report.

[0003] During an ultrasound examination, due to the natural movement of the fetus, measurement data is prone to errors, especially in early pregnancy when the fetus is small and moves frequently, making measurement errors more pronounced. In order to obtain the most accurate measurement values, the examination technician needs to perform repeated measurements and select the most appropriate measurement values ​​based on their own ultrasound medical knowledge and professional accumulation. However, the accuracy of the ultrasound data report is inevitably affected by differences in the professional level of the examination technicians. Existing ultrasound examination equipment cannot intelligently recommend the optimal measurement values ​​based on the pregnant woman's historical examination data and medical standard values ​​to avoid measurement errors and human judgment errors, and cannot automatically match the corresponding measurement values ​​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 enable ultrasound examination equipment to intelligently analyze data, correct and recommend optimal measurement values ​​to improve the accuracy of ultrasound data reports. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for obtaining 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 obtaining fetal physiological data based on ultrasound examination, characterized in that its implementation includes the following steps:

[0007] Step S1: Acquire physiological data of the fetus multiple times in real time, and process 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 gestational sac meridian of the fetus;

[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 a theoretical value is retrieved, execute step S203; if the data to be compared is not within the medical standard data range and a theoretical value is not retrieved at this time, execute step S204;

[0011] Step S202: comparing the deviation of the data to be compared with the reference value, and the data to be compared that is closest to the reference value is the optimal physiological data;

[0012] Step S203: performing a deviation comparison 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 physiological 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 fetal growth curve during the current pregnancy; 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 based on historical examination data, execute step S213;

[0018] Step S213: According to the gestational period, the current theoretical growth curve of the fetus is called and then step S214 is executed;

[0019] Step S214: the theoretical growth curve calibrates the average growth curve, and the data calculated based on 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, medical standard data is called as a theoretical value;

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

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

[0024] Y i =k i *X i

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

[0026] This results in the theoretical value of 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] A collection module is used to collect physiological data of the fetus and classify the physiological data; after classifying the collected physiological data, the collection module calculates the average and median value of each physiological data group; the data collected by the collection 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. If the same pregnant woman's identity information appears, the corresponding historical examination data is read and the average growth curve, gestational period, and theoretical value are calculated. If the same pregnant woman's identity information does not appear, the acquisition module calculates the gestational period based on the physiological data collected in real time and transmits the gestational period to the storage module. The storage module retrieves standard data from the medical standard data dictionary based on the gestational period to obtain a baseline 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 physiological 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 further included, and the comparison module transmits the optimal physiological data to the output module, and the output module integrates the optimal physiological data into an ultrasound data report. At the same time, the output module transmits the optimal physiological data to the storage module for storage.

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

[0037] 1. The present invention structures the collected physiological data to ensure more effective data management and utilization. A correction mechanism is introduced during data processing, where the theoretical growth curve is calibrated against the actual average growth curve to ensure the accuracy of the theoretical value, making the theoretical value more consistent with reality and eliminating potential errors. After processing, the data is automatically analyzed and reasonably matched to ensure that the selected, corrected optimal physiological data accurately reflects the actual situation. The obtained optimal physiological data is generated into an ultrasound data report and automatically saved, avoiding the adverse effects on the quality of the ultrasound data report caused by differences in the level of examination technicians and manual data entry errors, thereby 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 physiological data of a certain dimension, it is not only based on the data of that dimension, but also takes into account the influence of data from other dimensions, ensuring the comprehensiveness and accuracy of the optimal physiological 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 clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0042] It should be noted that similar reference numerals and letters denote similar items in the following figures. Therefore, once an item is defined in one figure, it does not require further definition or explanation in subsequent figures. Terms such as "center," "upper," "lower," "inner," and "outer" indicate positions or locations based on the positions or locations shown in the figures, or the positions or locations in which the product is typically placed when in use. These terms are used solely for ease of description and simplification of the present application. They do not indicate or imply that the device or component referred to must have a specific position, be constructed, or operate in a specific orientation, and are not to be construed as limiting the present application. It should also be noted that, unless otherwise expressly specified or limited, the terms "disposed," "mounted," and "connected" should be interpreted broadly. For example, they can refer to fixed, removable, or integral connections; mechanical or electrical connections; direct connections or indirect connections through an intermediary; or internal connections between two components. Those skilled in the art will understand the specific meanings of these terms in this application in specific contexts.

[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 includes the following steps:

[0045] Step S1: Acquire physiological data of the fetus multiple times in real time, and process 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 gestational sac meridian of the fetus;

[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 a theoretical value is retrieved, execute step S203; if the data to be compared is not within the medical standard data range and a theoretical value is not retrieved at this time, execute step S204;

[0049] Step S202: comparing the deviation of the data to be compared with the reference value, and the data to be compared that is closest to the reference value is the optimal physiological data;

[0050] Step S203: performing a deviation comparison 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 physiological 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 fetal growth curve during the current pregnancy; 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 should 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 occipitofrontal 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 occipitofrontal 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 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 based on 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, medical standard data is called as a theoretical value;

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

[0075] This results in the theoretical value of the corresponding data set.

[0076] In step S203, the absolute values ​​of the differences between the mean value, the median value and the theoretical value are calculated using formulas (3) and (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 i-th 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 i-th 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 physiological 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 physiological 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 physiological 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 average value, the median value and the benchmark value are calculated.

[0082] It is worth noting that in the comparison process, the benchmark value has 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 individual's historical examination data and the average growth curve. If the historical examination data of the fetus all meet 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 physiological data.

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

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

[0085] Specifically, in the process of calculating pregnancy, 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; represents the average inner diameter of the gestational sac; N1 represents the number of days of gestation;

[0089] Or, by 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 using 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] Where CRL is the fetal head-brachial length; N2 represents the gestational days;

[0096] Or, by 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] A collection module is used to collect physiological data of the fetus and classify the physiological data; after classifying the collected physiological data, the collection module calculates the average and median value of each physiological data group; the data collected by the collection 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. If the same pregnant woman's identity information appears, the corresponding historical examination data is read and the average growth curve, gestational period, and theoretical value are calculated. If the same pregnant woman's identity information does not appear, the acquisition module calculates the gestational period based on the physiological data collected in real time and transmits the gestational period to the storage module. The storage module retrieves standard data from the medical standard data dictionary based on the gestational period to obtain a baseline 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 physiological 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] Where i represents the i-th physiological data, and i = 1, 2, 3…; j represents the j-th collection, 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 i-th 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 the j-th data in each group, and j = 1, 2, 3...;

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

[0114] Furthermore, 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 gestational 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 gestational period obtained in the storage module has a higher priority than the gestational period calculated by the acquisition module. The storage module retrieves the medical standard data and the medical standard growth curve from the medical standard data dictionary according to the gestational 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 physiological 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; and automatically analyzes and reasonably matches the data after the processing is completed to ensure that the selected optimal physiological data can accurately reflect the actual situation; the optimal physiological 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 level of examination technicians and manual entry errors, thereby improving the accuracy of the ultrasound data report.

[0120] Thus far, various embodiments of the present invention have been described in detail. To avoid obscuring the concept of the present invention, some details well known in the art have been omitted. Based on the above description, those skilled in the art will fully understand how to implement the technical solutions of the present invention. The scope of the present invention is defined by the appended 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: Acquire physiological data of the fetus multiple times in real time, and process 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 gestational sac meridian of the fetus; 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 a theoretical value is retrieved, execute step S203; if the data to be compared is not within the medical standard data range and a theoretical value is not retrieved at this time, execute step S204; Step S202: comparing 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 physiological data; Step S203: performing a deviation comparison 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 physiological 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 fetal growth curve during the current pregnancy; 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 based on historical examination data, execute step S213; Step S213: according to the gestational 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 based on 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, medical standard data is called as a theoretical value; 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 set, and i=1, 2, 3…; Y i represents the theoretical value of the i-th physiological data group, X i represents the most recent measurement value of the i-th physiological data group; k i represents the average growth rate of the i-th physiological data group; This results in the theoretical value of 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. The fetal physiological data acquisition system based on ultrasound examination is characterized by: To implement the method for obtaining fetal physiological data based on ultrasound examination as described in any one of claims 1 to 4, comprising: A collection module is used to collect physiological data of the fetus and classify the physiological data; after classifying the collected physiological data, the collection module calculates the average and median value of each physiological data group; the data collected by the collection 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. If the same pregnant woman's identity information appears, the corresponding historical examination data is read and the average growth curve, gestational period, and theoretical value are calculated. If the same pregnant woman's identity information does not appear, the acquisition module calculates the gestational period based on the physiological data collected in real time and transmits the gestational period to the storage module. The storage module retrieves standard data from the medical standard data dictionary based on the gestational period to obtain a baseline value. The 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 physiological 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 5, characterized in that: It also includes an output module, the comparison module transmits the optimal physiological data to the output module, the output module integrates the optimal physiological data into an ultrasound data report, and the output module transmits the optimal physiological data to the storage module for storage.

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