34 results about "Gestational Weeks" patented technology

The gestational wheel calculator of the current invention greatly extends the function and usefulness of the basic gestational calculation wheel by providing increased accuracy of gestational dates by using an average cycle length adjuster, provides paternity information using a sperm exposure marker, provides more accurate ultrasound and other test measurements by using scales printed parallel to gestational age, and provide a means of accurately aligning these measurements with the proper calendar or gestational date by including a transparent marker arm. In addition, normal range and error functions are included on the marker arm. A one-fourth year window is used to increase the surface area of information available for viewing charts, tables, and promotions on the underlying base plate. Easier reading of the calculator is provided by special markers for the first day of each calendar month and by providing sub-marks for each day within a gestational week. Scheduling conflicts are improved by providing a weekday scale covering the entire nine month duration of pregnancy. The other side of the gestational wheel can be used to provide additional promotional or informational items including rotating transparent windows to display additional surface area, to provide means of calculating algorithm solutions for body mass index, and display observational data for EFW, delta OD 450, and AFI.

The invention provides an image processing method for automatically judging fetal hydrocephalus from ultrasonic images, comprising the following steps: firstly extracting skull ellipse of a new fetal brain image on the second plane, lateral ventricle horizontal plane; establishing a space histogram pyramid in the interior zone of the ellipse in the image; respectively calculating the distances among the space histogram pyramids of the given fetal ultrasonic image, the normal fetal brain images in the same gestational week and the image of hydrocephalus in the brain on the lateral ventricle horizontal plane in the same gestational week; and setting a threshold and giving the possibility of fetal hydrocephalus from judgment according to the relationship between the distances among the space histogram pyramids and the threshold.

The invention relates to a screening method of chromosomal anomaly birth defects during early pregnancy. The screening method comprises the following steps of: obtaining basic background parameters and correction background parameters of a checked pregnant woman input in a computer; obtaining selected ultrasonic detection markers and maternal serum biochemical markers during selected gestational weeks; calculating fetal Delta-NT value; calculating and correcting medium value multiple; calculating background risk; calculating the likelihood ratio of the Delta-NT value; calculating the likelihood ratio of the medium value multiple of the serum biochemical markers; calculating the final risk value according to sequential screening principle; and judging whether the final risk value is more than a predetermined risk truncation value or not, if so, sending a high-risk index signal, otherwise sending a low-risk index signal. The screening method is a screening method specially aimed for the birth defects of Chinese ethnic groups during early gestation and has the advantages of high detectable rate, low false positive rate, high efficiency and safety.

A body composition management apparatus for a pregnant woman which measures body fat or body water by a bioelectrical impedance method is provided. The apparatus comprises: first input means, second input means, measurement means, first computation means, and second computation means, wherein the first input means inputs personal data of a pregnant woman such as a body height and a body weight, the second input means inputs the gestational weeks, the measurement means measures the bioelectrical impedance of the pregnant woman, the first computation means computes a body fat mass or a total body water from the personal data and the impedance, and the second computation means computes a body fat mass or total body water in a non-pregnant state from the computed body fat mass or total body water and the amount of an increase in body weight from the non-pregnant state.

The invention discloses a method for prenatal screening chromosome abnormality and an application thereof. The invention comprises the following steps: totally calculating various measurement indicators of normal pregnant women in China to obtain the median of serum marker of single pregnancy people in each gestational week, the median of serum marker of double pregnancy people in each gestational week and the median of translucent thickness of fetal nape of normal pregnant women in each gestational week; detecting the serum marker, fetal number, translucent thickness of fetal nape of the detected pregnant women to determine the gestational weeks of the pregnant women; correcting according to the weight of the detected pregnant women and finally calculating the multiples of the median value (MoM value) of serum marker; then comparing correspondingly the multiples of the median of serum marker of the detected women with the median of serum marker of normal pregnant women according to the gestational weeks of the pregnant women and fetal number, calculating the likelihood ratio of the serum marker of the detected pregnant women to obtain the risk rates of 21 trisome, 18 trisome or 13 trisome and the risk rate of NTD risk.

The gestational wheel calculator of the current invention greatly extends the function and usefulness of the basic gestational calculation wheel by providing increased accuracy of gestational dates by using an average cycle length adjuster, provides paternity information using a sperm exposure marker, provides more accurate ultrasound and other test measurements by using scales printed parallel to gestational age, and provide a means of accurately aligning these measurements with the proper calendar or gestational date by including a transparent marker arm. In addition, normal range and error functions are included on the marker arm. A one-fourth year window is used to increase the surface area of information available for viewing charts, tables, and promotions on the underlying base plate. Easier reading of the calculator is provided by special markers for the first day of each calendar month and by providing sub-marks for each day within a gestational week. Scheduling conflicts are improved by providing a weekday scale covering the entire nine month duration of pregnancy. The other side of the gestational wheel can be used to provide additional promotional or informational items including rotating transparent windows to display additional surface area, to provide means of calculating algorithm solutions for body mass index, and display observational data for EFW, delta OD 450, and AFI.

The invention relates to a method for jointly detecting sFlt-1 / PLGF and HLA-G for predicting pre-eclampsia. The method comprises the following steps: collecting serum specimen: respectively collecting5-10 ml of venous blood from pregnant women in a pre-eclampsia group and normal pregnant women with same gestational weeks, centrifuging all specimens in a low temperature centrifuge at 3000 rpm for10 min within 4 h, taking the serum and subpackaging in EP tubes, and storing in a refrigerator at minus 80 DEG C for testing; coating: using a 0.05 M PH9.0 carbonate coated buffer solution to diluteantibodies to the protein content of 1-10[mu]g / ml, adding 0.1ml of the diluted antibodies into reaction holes of each polystyrene board, staying overnight at 4 DEG C, discarding the solution in the holes the next day, and washing for 3 times; setting up standard holes and sample holes, washing, and setting up blank holes, negative control holes and positive control holes at the same time; adding enzyme-labeled antibodies; adding 100 [mu]L of horseradish peroxidase-labeled detection antibodies into each of the standard holes and the sample holes except for the blank holes, sealing the reactionholes with microplate sealers, and incubating in a water bath kettle or an incubator at 37 DEG C for 60 min; performing board-washing; adding 50 [mu]L of a substrate A and a substrate B into each of the holes, and measuring OD values of each hole. The method is high in detection specificity and sensitivity.

The invention discloses a method and device for classifying pregnancy state of a user, electronic equipment and a medium. In the application, the method includes: calling a sample data set of a gestational user from an antenatal examination data center, wherein the sample data comprises a gestational week value of the gestational user; continuously optimizing and training the decision tree model through a random forest algorithm to obtain a target prediction model; and acquiring physiological feature data of a to-be-detected user in the gestation period, and inputting the physiological feature data of the to-be-detected user in the gestation period into the target prediction model to obtain a gestation state classification result of the to-be-detected user in the gestation period. By applying the technical scheme of the invention, the Bagging type random forest integration algorithm can be obtained by combining and optimizing the decision tree model, so that the target prediction model capable of determining the pregnancy state classification can be generated for the user in the pregnancy period; therefore, the purpose of automatically judging the pregnancy state of the user in the gestation period according to the physiological feature data of the user in the gestation period can be achieved, and then corresponding processing can be conducted on the user in a targeted mode.

According to the invention, the ratio of biomarkers leptin to ceramide related to preeclampsia is found for the first time, and early diagnosis of preeclampsia is realized by detecting the level change of the ratio of leptin to ceramide of a subject. The method can be used for evaluating the preeclampsia disease risk during pregnancy, has high accuracy and specificity, and provides an effective method for early prediction and precise prevention of preeclampsia. In the early stage of morbidity, timely and accurate auxiliary diagnosis is carried out on pregnant women with preeclampsia risks, clinical close monitoring on patients is helped, effective intervention is timely carried out to control the illness state and prolong the gestational week, and the method has important significance in reducing the preeclampsia morbidity and mortality rate and guaranteeing the safety of mothers and infants.

The invention relates to the field of obstetrics, in particular to a gestation hypertension risk dynamic evaluation method based on the change of the physical and chemical information of pregnancy. The invention is characterized in that different evaluation criteria can be selected according to the pregnancy cycle, automatic identification is carried out on the physical and chemical information, and the change tendency of the information parameters in the gestation period is monitored, and whether the information parameters are abnormal or not is evaluated according to the comparison between the physical and chemical information and the experimental values. Aiming at different pregnant women or the same pregnant women at different gestational weeks, the doctor can use the historical medical information, the current physical and chemical information and the diagnosis and treatment experience, the risk weights of the physical and chemical parameters are adjusted, and the risk that the pregnant women suffer from hypertension and related complications is evaluated, so that the medical process has good flexibility. According to the evaluation method, the pre-pregnancy medical history iscombined with the post-pregnancy information, the dynamic monitoring is combined with the static estimation, and the current detection is combined with the trend estimation, the single detection andthe overall evaluation are combined, so that the monitoring can have real-time ability, prediction performance and pertinence, and the intervention can be carried out on the pregnant woman in advance,and the harm of the mother and the baby can be reduced.

The invention relates to a detection device for judging early pregnancy time and early pregnancy abnormity. The detection device comprises multiple test strips and a cavity for accommodating the multiple test strips, wherein the six test strips are sequentially arranged in the cavity of the detection device and used for detecting different hCG (human chorionic gonadotropin) concentrations; an hCGcritical value detected by a first test strip is 25 mIU / ml, an hCG critical value detected by a second test strip is 100 mIU / ml, an hCG critical value detected by a third test strip is 500 mIU / ml, anhCG critical value detected by a fourth test strip is 2000 mIU / ml, an hCG critical value detected by a fifth test strip is 10000 mIU / ml, and an hCG critical value detected by a sixth test strip is 25000 mIU / ml. A product is lower in detection sensitivity, larger in detection range and longer in gestational week tracking cycle, and can detect the gestational week to the ninth week. Besides, each test strip of the product can complete detection only by one detection line, a result is more direct, the process is simpler, the product is more stable, and industrialization is easier to realize.

A body composition management apparatus for a pregnant woman which measures body fat or body water by a bioelectrical impedance method is provided. The apparatus comprises: first input means, second input means, measurement means, first computation means, and second computation means, wherein the first input means inputs personal data of a pregnant woman such as a body height and a body weight, the second input means inputs the gestational weeks, the measurement means measures the bioelectrical impedance of the pregnant woman, the first computation means computes a body fat mass or a total body water from the personal data and the impedance, and the second computation means computes a body fat mass or total body water in a non-pregnant state from the computed body fat mass or total body water and the amount of an increase in body weight from the non-pregnant state.

The invention discloses a method for detecting skull abnormity of a fetus based on machine learning. Particularly, whether a major tissue structure of a skull is abnormal or not and which related skull diseases will be caused by abnormity are detected during the development of the skull of the fetus. According to the method, whether the major tissue structure of the skull is abnormal or not is mainly detected through acquiring data of standard sections of skulls of different gestational week series, preprocessing the data and training a model. The method comprises the steps: extracting features by adopting a deep convolutional network, generating candidate regions by a region proposal network RPN, collecting an input characteristic graph and the candidate regions by an interested pooling layer, carrying out classifying and regression detection by using a softmax classifier, and finally analyzing whether a primary structure is abnormal or not by using a detection result; and judging that the primary structure is normal if no abnormity is detected. The method and the system have the aim of aiding diagnosis by using a computer, and whether the skull is abnormal or not is diagnosed inan aided manner under the condition that doctors or people have no need of excessively participating in diagnosis.

The invention discloses a target gene combination related to gestational age and application thereof. Based on the target gene combination, the target gene combination comprises TSPOAP1, CRYAA, CXCL11, FNDC10, HMGA2, FDCSP, OLFM2, KRT36, C13orf46, SCD5, OR12D2, OMP, CEBPE, MOBP, CCNF, FUT2, LIPH, ERICH4, GPR171 and the like. According to the method, the distribution condition of peripheral blood free DNA in some gene transcription start site areas can reflect different gestational weeks, and after the characteristics of the free DNA transcription start site areas are subjected to homogenization correction, a prediction model constructed by using a machine learning algorithm can effectively predict the fetal age of a fetus.

The invention discloses a method for hypertensive disorders of pregnancy by combining D-dimer with alpha fetoprotein and free[beta]-hCG in maternal serum during mid-pregnancy. The method comprises thesteps of dividing pregnant women into three case groups and a control group according to the existence or absence of gestational hypertension GH, preeclampsia PE and severe preeclampsia group SPE; detecting the levels of D-dimers, AFP (alpha fetoprotein) and free[beta]-HCG of the four groups of pregnant woman serum specimens, and representing the measured levels of the D-dimers, the AFP and the free[beta]-HCG by the median multiples MoM of the weight and the gestational weeks; and comparing median multiple MoM distribution conditions, and constructing a risk calculation model by using MOM values in combination with the weight and the gestational weeks. The method has the beneficial effects that the risk calculation model constructed by calibrating MOM values of the D-dimer, the AFP and the free[beta]-HCG in serum of the pregnant woman in combination with the weight and the gestational weeks has relatively high sensitivity and specificity when being used for screening the hypertensivedisorders of pregnancy HDP, and can become a new marker for predicting the hypertensive disorders of pregnancy HDP.

The invention relates to the technical field of pregnant woman supplies and health management, in particular to a big data-based pregnant woman health management system, which comprises a cloud platform used for acquiring a collection data group formed by physical sign data, environmental data, public data and third-party data of a user, and also used for generating a single monitoring report and a comprehensive monitoring report according to the acquired data group, comparing the single monitoring report and the comprehensive monitoring report with scientific data in a normal range, and forming a comparison result, and a user side comprising daily information, a monitoring report, warning information and compensation scheme release. The pregnant woman health management system simulates a fetus 3D development image on an intelligent terminal of a user according to gestational weeks and pregnancy and delivery science. A user identifies the type of diet through intelligent terminal filling or AR scanning and matches the composition and content of energy, vitamins, trace elements and the like of the diet in the database, and a nutrition compensation scheme is generated and sent to the intelligent terminal of the user for user reference.

The invention discloses a method for intelligently reminding whether ultrasonic measurement fetal growth parameters are abnormal or not, and the method comprises the following steps: S1) maintaining measurement parameters, and setting parameter names and related parameters of obstetrical ultrasonic screening; s2) automatically extracting a fetal growth parameter measurement value from the ultrasonic acquisition image, and filling the measurement value into a growth and development index list; s3) automatically calculating the current gestational week and the expected date of confinement according to the pregnant woman application form information; s4) automatically calculating a normal measurement value range of the current gestational week of the fetus according to the current gestational week; s5) judging whether the measured value in the growth and development index list is in a normal measured value range or not; s6, when the measured value in the growth and development index list is not within the normal measured value range, an abnormal diagnosis result is intelligently reminded. According to the scheme, missed diagnosis and misdiagnosis caused by manual diagnosis are avoided, and the efficiency and accuracy of a doctor for diagnosing whether a fetus normally develops or not are improved.

The invention discloses a method for managing the weight increase of a Chinese pregnant woman during pregnancy, which includes a prospective pregnancy weight management method from the early phase ofthe pregnancy and a method for assessing whether the weight increase is appropriate during metaphase pregnant. Based on the research on the latest data of using Chinese pregnant women as a reference population in a large sample without delivery complication, through statistical analysis, a quantitative relationship (nonlinear regression equation) between the weights of pre-pregnancy and early-pregnancy and the distribution of body weight at different gestational weeks in different obesity categories is obtained, can be used for accurately estimating the ideal cycle weight of each pregnant woman based on the individual pre-pregnancy and early-pregnancy weight changes, and is an important reference for individualized pregnancy weight management.

The invention discloses a method for predicting birth weight of a full-term newborn at 21-23 weeks of pregnancy. The method comprises the following steps: S1, building a newborn weight prediction model that is EFW = 5016.51-205.71*X1+16.30*X2+102.19*X3+86.64*X4, wherein, EFW is the predicted neonatal weight in g; X1 is the accurate gestational week during the ultrasonic examination, and X2 is the body mass index (in kg / m<2>) of a pregnant woman at second trimester B-ultrasonic examination; X3 is the volume of partial thighs of a fetus at ultrasonic examination in cm<3>; and X4 is the abdominal girth (in cm) of the fetus at ultrasonic examination; S2, collecting gestational weeks and progestational body mass indexes of the pregnant woman; S3, carrying out two-dimensional ultrasonic measurement on the abdominal girth of the fetus at 21-23 weeks of pregnancy; S4, carrying out three-dimensional ultrasonic measurement on the volume of partial thighs of the fetus at 21-23 weeks of pregnancy; and S5, substituting data collected in the steps S2-S4 into the newborn weight prediction model, and calculating the predicted weight of the newborn. The method can improve the accuracy of predicting the birth weight of the full-term newborn, and be used for advancing maternal management to the second trimester, thereby scientifically improving pregnancy results.

The invention provides a predictive marker related to the onset risk of gestational hypertension, namely early pregnancy serum BDNF, and provides application of the marker in preparation of an auxiliary diagnosis reagent for gestational hypertension. Besides, by constructing a logistic regression model, a model for predicting the hypertensive disorder in pregnancy and various subtypes thereof according to the markers is obtained, the prediction model is rapid, convenient, high in accuracy and reasonable and feasible in design, and a theoretical basis is provided for early prediction and prevention and treatment of HDP disease progression, so that high-risk groups are found and strictly managed as soon as possible, and the development of the hypertensive disorder in pregnancy is promoted. The composition can relieve illness conditions, prolong gestational weeks, improve prognosis and finally reduce the mortality rate of mothers and babies.

The invention discloses an intelligent prenatal fetal heart rate monitoring model which comprises the following steps: preprocessing a fetal heart rate signal, a uterine contraction signal, the age of a pregnant woman and the gestational week to obtain a prenatal standardized fetal heart rate data set, a uterine contraction signal data set and a basic information data set of the pregnant woman; then designing a convolutional neural network to perform high-dimensional feature extraction on the preprocessed fetal heart rate signal and uterine contraction signal; a base classifier LGBM is designed and selected according to the characteristics of the prenatal fetal heart monitoring data; fusing the extracted high-dimensional features of the signals with the preprocessed basic information of the pregnant woman to form multi-modal features, and inputting the multi-modal features into a base classifier LGBM to obtain a classification judgment result; according to the intelligent antenatal fetal heart rate monitoring model, features of four different modes including fetal heart rate signals, uterine contraction signals, pregnant woman age and pregnant weeks are fused, a multi-mode feature deep learning strategy is adopted for training, a design base classifier LGBM is selected for classification and discrimination, and compared with other machine learning models based on the fetal heart rate and uterine contraction signals, the model has the advantages that the model is simple in structure and convenient to use. Compared with other traditional machine learning models based on clinical features, the method has better classification performance compared with deep learning models of different feature combinations.

The invention discloses a gestational week determination method and system. The method comprises the following steps: receiving a selection instruction, wherein the selection instruction comprises a logo of a gestational week computing method; searching the gestational computing method according to the logo so as to acquire a name of an input parameter corresponding to the gestational week computing method; generating and displaying a parameter input interface according to a preset display rule, wherein the parameter input interface comprises the name of the input parameter, and a parameter value receiving control corresponding to the name of the input parameter; receiving the input parameter value according to the parameter value receiving control; when receiving the gestational computing instruction, determining the gestational week using the input parameter value according to the gestational week computing method. Through the adoption of the method disclosed by the invention, the time is saved, the probability of inputting error information is reduced, the probability of computing error gestational week or incapable of computing the gestational week is reduced, the gestational week can be fast, simply and accurately determined, and the method and the system are suitable for application.

The invention provides a fetal monitoring device and terminal equipment. The device comprises a data receiving module, a data processing module and a result output module, wherein the data receiving module, from maternal-fetal Doppler flow parameters, is used for receiving a first PI value of fetal middle cerebral artery, a PSV value of the middle cerebral artery, a second PI value of umbilical artery and spectrum characteristics of the umbilical artery, and the data receiving module is used for receiving a VPI value of fetal venous catheter and spectrum characteristics of the venous catheter; the data processing module is used for determining reference information representing a fetal status according to the first PI value and the PSV value, the second PI value and the spectrum characteristics of the umbilical artery, the VPI value and the spectrum characteristics of the venous catheter; and the result output module is used for outputting the reference information onto a user interface. Through the technical scheme disclosed by the invention, the classification for the fetal status can be achieved through the reference information, and the trends of fetal-placental circulation and fetal circulation, which continuously vary along with gestational weeks, can be dynamically observed, so that the credibility of fetal monitoring is improved.

The invention relates to a kit for noninvasive prenatal diagnosis of pregnant woman fetal trisomy syndrome. The kit comprises the following ingredients including an upstream and downstream primer pair PP trisomy designed by aiming one or several of No.21, No.18 or No.13 chromosomes, and an upstream and downstream primer pair PP autosome designed by aiming at any one autosome except the No.21, No.18 or No.13 chromosomes, wherein any one pair of PP trisomy and PP autosome needs to meet the following conditions that 1, the melting point difference values between every two primers of the four primers is within 4 DEG C; 2, the amplicon length is smaller than or equal to 150 bp and a non-target product is not generated; 3, the melting point difference value of the two amplicons is 2 DEG C or higher; 4, the melting peaks of the two amplicons are obviously separated, so the shoulder peak is not formed. The kit has the advantages that simplicity, convenience and high speed are realized; the accuracy and the sensitivity are high; the errors are small; the precision is high, so that the effective Down symdrome screening gestational week period is shortened by at least three weeks.

The invention discloses a sow due date counting frame, and mainly relates to the field of sow breeding tools. The sow due date counting frame comprises a calendar disk and a gestational week disk, wherein cavities are arranged below corresponding scale lines in the calendar disk; identification cards are arranged in the cavities and consist of sliding clamping blocks at the inner ends and blank cards at the outer ends; the widths of the sliding clamping blocks are greater than those of the blank cards, and the sliding clamping blocks are hinged to the blank cards through connection shafts; the sliding clamping blocks are connected with the cavities in a sliding manner; card outlet holes communicated with the cavities are formed in the circumferential side of the calendar disk; the widths of the card outlet holes correspond to the blank cards; the sow due date counting frame further comprises a base plate; the base plate is circular and is arranged on one surface, far away from the gestational week disk, of the calendar disk; the base plate, the calendar disk and the gestational week disk are connected in sequence in a hinged manner. The sow due date counting frame has the benefits that the calendar disk can rotate to be checked and has marking functions of compact structure, convenience in use and automatic stretching; tracking, checking and fine breeding in a pregnancy process are facilitated.

The invention discloses a method and system for determining an optimum location for fetal heart detection. The method comprises the following steps: determining and displaying multiple positions at which a fetal heart possibly exists during the current fetal heart detection according to the optimum location, determined at any time of the recorded previous fetal heart detections, for the fetal detection as well as gestational weeks and abdomen circumference of the current fetal heart detection; then detecting signals corresponding to the positions at which the fetal heart possibly exists; and finally determining the position at which the fetal heart possible exists and is corresponding to the signal with the highest strength as the optimum location for the current fetal heart detection, anddisplaying the determined optimum location for the current fetal heart detection, thereby helping a user to rapidly and accurately determine the optimum location for the fetal heart detection.

The invention relates to a portable fetal heart rate monitor and a monitoring method thereof, belonging to the field of medical equipment. The device includes a bioelectric sensor, signal amplification and filter, A / D converter, embedded microcontroller, memory, LCD display, rechargeable battery, clock frequency module, bluetooth and NFC module; the device detection method includes steps: Collect bioelectrical signals from the abdomen; use adaptive filtering algorithm to filter out myoelectric signals and noise interference; use wavelet algorithm to extract MECG signals; add Gaussian white noise to FECGErr signals to perform ensemble empirical mode decomposition; The IMF signal of X is subjected to singular value decomposition to obtain k singular values ​​of matrix X; and the k singular values ​​are sorted; the number of fetuses is predicted. The present invention only uses one maternal abdominal wall signal to realize the separation of maternal and fetal electrocardiographic signals, and can be used for the first time after 5 gestational weeks of pregnancy, and can estimate the number of fetuses.

The invention particularly relates to a detection card and a detection method for rapidly detecting early pregnancy and gestational weeks. The detection card comprises a detection strip, a pen cap anda pen-shaped card body, wherein the detection strip comprises a matrix support plate, absorbent paper, an analysis membrane, a gold-labeled combination pad and a sample pad, a gold-labeled mouse anti-HCG-alpha antibody is fixed on the gold-labeled combination pad, wherein the analysis film is coated with a detection line and a quality control line, the quality control line containing goat anti-mouse IgG antibodies is located on the right side of the detection line, the detection line comprises a detection line T1, a detection line T2 and a detection line T3 containing mouse anti-HCG-beta antibodies with different concentrations, and the HCG concentration range in urine is rapidly detected through a detection card. According to the detection card, the number of the detection lines is increased, different sensitivities are set, HCG hormones are rapidly detected, the concentration range of HCG in a urine sample is simply determined, the week of pregnancy is calculated according to the concentration range, and therefore a purpose of judging early pregnancy and week of pregnancy is achieved, an accurate week of pregnancy detection result is provided for women subjected to early pregnancy testing, and application and popularization are facilitated.

The invention provides specific miRNAs in peripheral plasma for pre-eclampsia and application thereof. The nucleotide sequence of the miRNAs is shown as SEQ ID NO. 1. According to the invention, the specific miRNAs in the peripheral plasma for pre-eclampsia can be stably expressed in the peripheral plasma of pre-eclampsia patients and the peripheral plasma of pregnant women with the same gestational weeks but without pre-eclampsia, and there is an obvious difference in the expression of the specific miRNAs between the pre-eclampsia patients and the pregnant women with the same gestational weeks but without pre-eclampsia. The specific miRNAs can be applied to early identification of the pre-eclampsia, and can be served as quantitative indexes for timely termination of pregnancy of the pre-eclampsia patients.

The invention discloses a calculation method and system for a maternal age risk value. The method comprises the steps of receiving a calculation instruction which comprises an identity label of a pregnant woman, and according to the identity label, obtaining input birth date and current gestational week corresponding to the identity label; according to the calculation instruction, calculating an age corresponding to the identity label in expected date of confinement by adopting the birth date and the current gestational week; judging whether the current gestational week is early pregnancy or pregnant metaphase; when it is judged that the current gestational week is the early pregnancy, obtaining the maternal age risk value of the 21-trisomy syndrome of the identity label according to the age in the expected date of confinement and the current gestational week; and when it is judged that the current gestational week is the pregnant metaphase, obtaining the maternal age risk value of the 21-trisomy syndrome of the identity label according to the age in the expected date of confinement. According to the calculation method and system, the maternal age risk value of the 21-trisomy syndrome of the identity label is calculated in combination with the age in the expected date of confinement and the gestational week, so that the accuracy of screening children suffering from the 21-trisomy syndrome is improved.