20 results about "Late pregnancy" patented technology

The invention provides an optimal administration method for promoting cervical maturation by misoprostol based on a PopPK model, and belongs to the technical field of drug administration scheme optimization, the method comprises the following steps: constructing the PopPK model for oral administration of misoprostol by a pregnant woman in late pregnancy, the PopPK model is a model structure containing absorption lag time zero-order-first-order absorption parallel, one-atrioventricular distribution and first-order elimination, and the PopPK model is a model structure containing absorption lag time zero-order-first-order absorption parallel, one-atrioventricular distribution and first-order elimination; the PopPK model comprises two absorption chambers and one central chamber; and based on the PopPK model, determining a staged administration scheme through simulation optimization. The limitation of a traditional fixing scheme is effectively overcome, and the safety, effectiveness and clinical practicability of drug administration are considered.

The application provides a misoprostol cervical ripening optimization dosing method based on a PopPK model, belongs to the technical field of drug dosing scheme optimization, and comprises the following steps: constructing a PopPK model of oral misoprostol for pregnant women in the third trimester of pregnancy, the PopPK model is a model structure containing zero-order-first-order absorption in parallel, one-compartment distribution and first-order elimination, the PopPK model comprises two absorption compartments and one central compartment; and determining a phased dosing scheme based on the PopPK model through simulation optimization. The method effectively overcomes the limitations of traditional fixed schemes, and takes into account the safety, effectiveness and clinical practicability of dosing.

The present application relates to the field of traditional Chinese medicinal materials, in particular to a composition for resisting PRRSv and improving the reproductive performance of sows and application thereof. The present application formulates a composition composed of 10 plant extracts (Angelica sinensis extract, Atractylodes macrocephala Koidz extract, Glycyrrhiza uralensis Fisch extract, Eucommia ulmoides Oliver extract, Eucommia ulmoides leaf extract, Populus davidiana Dode extract, Perilla frutescens leaf extract, Gynostemma pentaphyllum Makino extract, Leonurus japonicus extract and Astragalus membranaceus Bge extract) for sows in late pregnancy, and collects sow blood and placenta samples at the time of delivery, studies the influence of the composition on sow reproduction, and explores the mechanism of action. The experimental results show that the composition can improve the reproductive performance of sows by increasing the total number of piglets and other indicators; meanwhile, the composition can effectively inhibit the replication of PRRSv.

The invention discloses a system, method and device for premature delivery risk prediction and a storage medium, and belongs to the technical field of biomedical information. The system comprises a data acquisition module and a data processing device. The data acquisition module is used for acquiring hemoglobin concentration, serum ferritin concentration, age, BMI, pregnancy times, delivery times, marriage conditions, education degree and other clinical characteristic data of the pregnant woman in the early pregnancy period, the middle pregnancy period and the late pregnancy period; the input characteristics of the model comprise all data of the three stages of pregnancy; the risk score is then compared with a specific threshold value set based on a Youden index, and a risk level of preterm delivery, spontaneous preterm delivery, or iatrogenic preterm delivery is output. The Hb-SF-Clinical multi-feature prediction model is constructed by fusing the three-stage pregnancy dynamic biomarkers and clinical features, the AUC (early birth prediction) of the Hb-SF-Clinical multi-feature prediction model in a test set reaches up to 96.0%, the Hb-SF-Clinical multi-feature prediction model is remarkably superior to the prior art, high-precision and subtype early birth risk assessment is realized, and the clinical applicability is high.

The invention discloses a fetal giant child prediction method and system based on machine learning in the field of medical health of artificial intelligence, and the method comprises the following steps: S1, data collection: collecting ultrasonic examination data and clinical feature data of a late pregnancy (greater than or equal to 37 weeks) single-fetal pregnant woman, and constructing an original data set; the ultrasonic examination data comprises fetal biparietal diameter (BPD), femur length (FL), abdominal circumference (AC), head circumference (HC), amniotic fluid index (AFI) and ultrasonic weight estimation, and the clinical characteristic data comprises pregnant woman pre-pregnancy body weight index (BMI), pregnancy body weight increment (GWG), examination week of pregnancy (GA) and fetal gender. The giant child prediction method based on machine learning provided by the invention has significant clinical application value and technical advantages, can effectively improve the prediction ability of fetal giant child, promotes the intelligent and precise development of the obstetrical field, and has important practical significance for improving the health level of mothers and infants.

The invention provides a dynamic progressive pregnancy and delivery prediction method and system, a storage medium and equipment, and relates to the technical field of smart medical treatment, and the method comprises the steps: obtaining baseline data and dynamic monitoring data of a pregnant woman, and dividing the dynamic monitoring data into collection indexes according to pregnancy stages; based on the baseline data and the dynamic monitoring data, calling a pre-constructed staged prediction model for prediction so as to generate a progressive prediction report; the staged prediction model comprises early, middle and late pregnancy sub-models, and each sub-model outputs a prediction result of a corresponding stage; in the prediction generation process, when a new pregnancy stage is entered, the corresponding sub-model is activated, and the prediction result of the previous stage is fused to generate a progressive prediction report. According to the technical scheme of the invention, personalized adjustment is carried out on the prediction basis for different pregnancy stages, algorithm adaptation is carried out for data characteristics of different pregnancy stages, and a composite prediction system covering the whole pregnancy is formed, so that the dynamic adaptability and accuracy of the prediction process are improved.

The application provides application of maternal blood exosome miR-1909-3p as a biomarker in preparation of a product for diagnosing or assisting in diagnosing fetal congenital heart disease, and belongs to the technical field of in vitro diagnosis. The application uses miRNA microarray analysis to analyze the expression characteristics of serum exosome microRNAs affected by CHD compared with matched healthy controls. In the early and late pregnancy of TOF fetus, miR-1909-3p is significantly overexpressed in the maternal circulation, indicating that miR-1909-3p is a potential biomarker for fetal congenital heart disease. Through ROC curve analysis of the verification set, it is found that the area under the curve is 0.953, P<0.001, the sensitivity is 95%, and the specificity is 95%, indicating that miR-1909-3p can be used as a potential non-invasive biomarker for prenatal CHD screening.

The utility model relates to the technical field of fetal heart measuring equipment, and discloses a split type ultrasonic fetus-voice meter which comprises a host unit and a display screen unit which are arranged in a split mode, and the host unit is connected with the display screen unit in a wireless communication mode. And the host unit and the display screen unit are fixedly positioned and connected with each other in a magnetic attraction manner. A display screen unit carrying a display screen and a host unit carrying other parts are arranged in a split mode, the display screen unit and the host unit are combined together through magnetic force, and fetal heart signals of the host unit are transmitted to the display screen unit to be displayed in a wireless transmission mode. A user can hold the display screen unit or place the display screen unit at any position to check real-time data, fatigue caused by long-time head-lowering data checking of a pregnant woman user and inconvenience in operation in the middle and late pregnancy are avoided, user experience and monitoring efficiency are improved, and the problems that an ultrasonic fetus-voice meter in the prior art is prone to causing cervical vertebra fatigue, cable constraint and monitoring interruption are solved.

The invention relates to a fetal growth limitation intelligent prediction method based on a hidden Markov model, and belongs to the field of fetal growth limitation prediction. The method comprises the following steps: carrying out early, middle and late pregnancy physiological index data acquisition, cleaning and preprocessing; dividing the marked and classified early, middle and late pregnancy physiological index data set into a training set and a test set; taking the pregnancy period as a time sequence, and taking the physiological indexes under early, middle and late pregnancy as observation features to construct a feature sequence; constructing and training hidden Markov models for the normal fetal sample group and the FGR fetal sample group by using the training set to obtain a normal state HMM (HMM-Normal) and an FGR state HMM (HMM-FGR); and respectively calculating log-likelihood values generated with the HMM-Normal and the HMM-FGR by using the samples in the test set, and determining whether the samples have the FGR risk by comparing the likelihood values. According to the method, the hidden factors appearing in the FGR can be continuously analyzed subsequently through a deep learning method.

The application provides a supplementing concentrate for Mongolian horses in the late pregnancy, a supplementing method and application, and relates to the technical field of animal nutrition and feed science.The supplementing concentrate is composed of the following raw materials in parts by weight: corn 70-72%, soybean meal 6-9%, bran 8.7-16.2%, molasses 1-5%, vegetable oil 1-3%, stone powder 0.5-1%, calcium hydrogen phosphate 0.1-1%, lysine 0.1-1%, salt 0.1-1%, and premix 0.1-1%.The application systematically explores the influence of supplementing concentrates with different energy and protein levels on the growth performance, nutrient digestion rate, blood biochemical indexes, reproductive hormone level, antioxidant performance, immune function, fecal microbial flora and metabolomics of Mongolian horses in the late pregnancy, so as to provide a theoretical basis and data support for determining a scientific supplementing scheme of energy and protein in the daily ration of Mongolian horses in the late pregnancy.

The invention relates to a method and a device for judging and measuring a standard section of an epigastric ultrasound image of a fetus in the middle-late pregnancy period. The method comprises the following steps: acquiring a to-be-measured epigastric ultrasound image of the fetus in the middle-late pregnancy period and a deep learning model for identifying the standard section of the epigastric ultrasound image; inputting the upper abdomen ultrasound image of the fetus in the middle-late pregnancy period into the deep learning model, and identifying to obtain a detection frame of each target structure in the standard section of the upper abdomen ultrasound image and corresponding confidence; deleting the redundant detection frames according to the confidence coefficient and the interaction ratio between the detection frames, and obtaining the reserved detection frame corresponding to each target structure; scoring is carried out according to the target structure in the reserved detection frame and the corresponding weight, and a scored upper abdomen horizontal cross section is generated; according to the standard information of the epigastric ultrasound image of the fetus in the middle-late pregnancy period, obtaining an ROI region of the image, carrying out image segmentation, and generating a segmentation mask of the image; and carrying out abdominal girth profile curve fitting based on the segmentation mask, and measuring the abdominal girth length according to the fitted curve.

The invention discloses a preparation method and application of a late gestation feed for improving the survival rate of Hu sheep lambs, and belongs to the technical field of sheep breeding feeds, and the preparation steps are as follows: S1, preparation of silage mulberry: rubbing the whole-plant feed mulberry into shreds and crushing the shreds into 1-2cm in length, adding a complex microbial inoculant containing corn flour, cellulase and Lignin plum, and uniformly mixing to obtain silage mulberry powder; carrying out anaerobic fermentation; and S2, preparing a feed in the later stage of pregnancy, mixing the silage with the rest feed mixture, and adding the premix to prepare a feed finished product. Compared with a mulberry leaf type feed, the whole-plant mulberry leaf feed is used for silage fermentation, branches are not thrown away, the raw material utilization rate is increased, the labor cost is saved, meanwhile, after the prepared feed is used for feeding ewes in the breeding stage and the lamb lactation period, the abortion rate of the ewes is remarkably reduced, and the survival rate of the lambs is increased.

The invention discloses a construction method and application of a fetal-derived hypercholesterolemia animal model. The fetal-derived hypercholesteremia animal model is characterized in that 20 mg / kg of aspirin with a clinical dose is given to rodents (such as Kunming mice) through oral intragastric administration in the middle and late pregnancy periods (such as 9-18 pregnancy), and typical hypercholesteremia appears after high-fat diet is given to male filial generations 8-12 weeks after the male filial generations are born. Based on mice exposed by aspirin during pregnancy, ascorbic acid is externally supplemented to maternal bodies during pregnancy, so that the liver cholesterol synthesis function and the blood cholesterol level of offspring can be effectively reduced. Therefore, the established fetal hypercholesterolemia animal model has the characteristics of novelty, reliability and simplicity and convenience in operation, meanwhile, the effect of reversing the susceptibility of offspring hypercholesterolemia by supplementing ascorbic acid to the maternal body is found, and a new thought and a new technology are provided for early prevention and treatment of fetal hypercholesterolemia.

The application belongs to the technical field of midwifery, and particularly relates to a late-pregnancy perineum massage device for promoting natural delivery. The device comprises an external shell, a cylindrical shell fixed to the external shell, a first rotating rod rotatably connected to the external shell, the first rotating rod being rotatably connected to the cylindrical shell, a squeezing cam fixed to the first rotating rod, the squeezing cam sliding in the cylindrical shell, a driving assembly arranged on the external shell and used for driving the first rotating rod to rotate, a first air bag arranged on the cylindrical shell, and the squeezing cam having a squeezing portion in a circular cross section, the squeezing portion of the squeezing cam being used for squeezing the first air bag. The first air bag is inflated and expanded, the air bag is attached to the perineum structure and uniformly extended and expanded, the first air bag is further squeezed by the squeezing cam, and the perineum tissue is subjected to local soft and uniform pressing massage.

1. Name of the product in this design: Insulin Rotation Injection Kit (Pregnancy). 2. Purpose of this design: To help users in the second and third trimesters of pregnancy to perform correct insulin rotation injections. 3. The key design elements of this product are the combination of shape, pattern, and color. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. The design for which protection is sought includes color. 6. This design is a thin product, therefore the left view of Design 1 is omitted; the right view of Design 1 is omitted; the bottom view of Design 1 is omitted; the top view of Design 1 is omitted; the perspective view of Design 1 is omitted; the left view of Design 2 is omitted; the right view of Design 2 is omitted; the bottom view of Design 2 is omitted; the top view of Design 2 is omitted; the perspective view of Design 2 is omitted; the bottom surface of this design is a part that is not easily seen or not visible during use, therefore the rear view of Design 1 is omitted; the bottom surface of this design is a part that is not easily seen or not visible during use, therefore the rear view of Design 2 is omitted. 7. Design 1 is designated as the basic design.

The invention discloses a nutritional composition. The nutritional composition comprises animal protein, vegetable protein and prebiotics, in the nutritional composition, the mass ratio of the animal protein to the vegetable protein to the prebiotics is 1: (3-6): (0.4-0.8). The invention also discloses application of the nutritional composition in maintaining stable diversity of intestinal flora during pregnancy and improving the birth outcome of newborns. According to the nutritional composition provided by the invention, by optimizing the ratio of the resistant dextrin to the protein and reasonably adjusting the ratio of the plant protein to the animal protein, the alpha diversity stability of intestinal flora in each stage (including early pregnancy, middle pregnancy and late pregnancy) of pregnancy can be effectively maintained; moreover, the growth retardation of the newborns can be reduced, the premature birth rate and the low birth weight incidence rate are reduced, and the birth outcome of the newborns is remarkably improved.

The invention relates to application of myo-inositol in preparation of a product for improving the health condition and reproductive capacity of pregnant sows, and belongs to the technical field of biology. According to the method, muscle inositol is fed in the late gestation period of the pregnant sow, namely from 85-90 days of gestation to delivery, so that the number of healthy litter birth of the pregnant sow can be remarkably increased, the antioxidant capacity and anti-inflammatory capacity of the pregnant sow are improved, no adverse effect is generated on the birth weight and birth litter weight of piglets, the health condition and reproductive performance of the pregnant sow are effectively improved, and the breeding cost of the pregnant sow is reduced. The improvement effect is obviously better than the effect of adding myo-inositol in other stages.

The invention discloses a construction method of a maternal osteoporosis model caused by exposure of low-molecular-weight heparin during pregnancy and application of the maternal osteoporosis model. A Kunming mouse is taken as an object, and 800 IU / kg of low-molecular-weight heparin is given to the mouse in the middle and late pregnancy period (9-18 days). D, after ovariectomy is conducted on 8-week-old female offspring, the 12-week-old female offspring shows the osteoporosis clinical phenotype that the number of bone trabecula, the thickness, the bone volume fraction and the bone mineral density are remarkably reduced. 15 mg / kg / d of PUPCs is synchronously supplemented in the middle and late pregnancy period, the peak bone mass of female offspring can be remarkably improved, and maternal osteoporosis is effectively prevented and treated. The model simulates the real process of female offspring maternal osteoporosis caused by clinical anticoagulation treatment, is stable in phenotype and high in repeatability, and can provide a tool for intrauterine environment interferent screening, pathogenesis exploration, early warning biomarker / intervention target discovery and prevention and treatment drug screening of maternal osteoporosis.

The invention relates to the technical field of abnormal fetal movement monitoring of fetuses in late pregnancy, in particular to wearable equipment for fetal movement monitoring of pregnant women in late pregnancy, which is used for collecting fetal movement signal sequences and fetal heart rate signal sequences of pregnant women. Correcting the original signal amplitude of each weak fetal movement signal based on the signal amplitude change and the signal instantaneous frequency change in the fetal movement period to which each weak fetal movement signal in the fetal movement signal sequence belongs, so as to obtain the corrected signal amplitude; determining the abnormal fetal movement possibility of each weak fetal movement signal based on the corrected signal amplitude of each weak fetal movement signal and the fetal heart rate signal fluctuation amplitude corresponding to each weak fetal movement signal, and determining the signal type of each weak fetal movement signal based on the abnormal fetal movement possibility of each weak fetal movement signal, the signal types comprise abnormal fetal movement signals and normal fetal movement signals. According to the wearable device, the identified signal type is more accurate, and the accuracy and reliability of fetal movement detection of abnormal fetal movement in the late pregnancy period are improved.

The invention discloses a risk assessment and health monitoring system based on AI-assisted full-cycle diagnosis and treatment, and relates to the technical field of mother and infant safety monitoring, and the system comprises a front-end detection module which collects multi-dimensional physiological and image data from pre-pregnancy to late pregnancy, and outputs standardized original data; the central intelligent processing module is used for receiving the data stream and outputting unified data after standardization processing and integration; the full-period AI model module is used for analyzing and outputting a risk marking result through an AI model based on the integrated data; the report early warning module is used for generating a visual report and layered early warning suggestions based on the risk result; and the after-sales service module provides remote guidance, regular maintenance and door-to-door hardware upgrading. Through an integrated closed-loop architecture, a special AI model and a medical-level data security protection technology, the problems that traditional pregnancy monitoring equipment is scattered, data is isolated, the risk identification accuracy is low, professional experience is relied on, the adaptation base-level scene is insufficient, and the data security guarantee is weak are solved.