182 results about "Uterine contraction" patented technology

The invention relates to the technical field of image enhancement, in particular to an ultrasonic image enhancement and motion analysis system for real-time uterine contraction detection. The system comprises the steps of obtaining ultrasonic images of different frames of uterine contraction detection, determining uterine contraction evaluation characteristic values according to gradient directions and position distribution of image angular points, performing screening to obtain target characteristic points, performing similarity analysis according to motion vectors of the target characteristic points in a neighborhood, determining continuous coefficients, performing clustering according to the continuous coefficients, and performing clustering according to different clustering clusters. Analyzing the uterine contraction change track in the time sequence, obtaining a uterine contraction rule change value of each target feature point, and obtaining an enhancement adjustment coefficient of each target feature point according to the uterine contraction rule change value of the target feature point and the uterine contraction evaluation feature value; and performing image enhancement on the uterine contraction detection ultrasonic image based on the enhancement adjustment coefficient. According to the invention, adaptive image enhancement can be realized, the motion trail of uterine contraction can be displayed more clearly by the enhanced image, and the imaging effect is improved.

The invention discloses a medicinal and edible composition for treating dysmenorrhea and application of the medicinal and edible composition, and belongs to the technical field of biological medicines. The medicinal and edible composition is prepared from the following components in parts by weight: 10 to 20 parts of radix astragali seu hedysari, 10 to 20 parts of fructus foeniculi, 7 to 15 parts of radix angelicae sinensis, 7 to 15 parts of herba cistanche, 7 to 15 parts of radix linderae, 7 to 15 parts of fructus lycii, 3 to 10 parts of rhizoma chuanxiong, 3 to 10 parts of cortex cinnamomi, 3 to 10 parts of rhizoma zingiberis, 3 to 10 parts of radix glycyrrhizae preparata, 3 to 10 parts of rhizoma cyperi and 3 to 10 parts of rhizoma corydalis. The components in the medicinal and edible composition can relax channels and relieve pain and relieve pain caused by uterine contraction or uterine spasm, the adopted raw materials are all medicinal and edible, and compared with western medicines, the medicinal and edible composition has no side effect.

The invention discloses a fetal state dynamic monitoring method and system based on multi-modal deep learning, and the method comprises the steps: segmenting a fetal heart rate signal and a uterine contraction signal into a plurality of segmented time signals through a sliding window, and carrying out the denoising preprocessing of each segmented signal; performing wavelet transformation on the signal to obtain a time-frequency spectrogram, and inputting the time-frequency spectrogram into a 3D convolutional neural network to extract features; a cross attention module is introduced to fuse the two modal features, a transform encoder is put into use to complete time sequence feature extraction, and finally fetal state monitoring is achieved through a full connection layer. According to the method, the multimodal fusion and deep learning technology is utilized, and the fetal state can be accurately and dynamically monitored. Manual monitoring errors can be effectively reduced, the monitoring efficiency and accuracy are improved, powerful support is provided for medical staff to know the fetus condition in real time, the abnormal state of the fetus can be found in time, and the safety of the fetus is guaranteed.

The invention provides a uterine muscle cell tension analysis method based on a uterine muscle cell activity image, and relates to the technical field of image processing. The method comprises the steps of tension analysis mode obtaining, resting state analysis mode tension analysis, uterine contraction state analysis mode tension analysis and tension analysis result feedback. According to the method, a tension analysis mode is obtained, if the tension analysis mode is a resting state analysis mode, a resting uterine muscle cell image is obtained, and a resting uterine muscle cell tension analysis result is obtained, and if the tension analysis mode is a uterine contraction state analysis mode, a uterine contraction uterine muscle cell image is obtained, and a uterine contraction uterine muscle cell tension analysis result is obtained. Finally, the uterine muscle cell tension analysis result is transmitted to a preset medical staff terminal, the reliability of the uterine muscle cell tension analysis result is improved, and the problem that in the prior art, the reliability of the uterine muscle cell tension analysis result is unstable due to the difference of ultrasonic probe scanning is solved.

The invention relates to the technical field of electric digital data processing, in particular to a method, device and system for reducing the fetal heart monitoring false positive rate of a high-risk pregnant patient, and the method comprises the steps: obtaining a fetal heart rate sequential sequence and a uterine contraction pressure sequential sequence, and analyzing the degree that the fetal heart rate deviates from a normal range according to the fetal heart rate sequential sequence; determining a fetal heart abnormality index of each undetermined abnormal section; performing regularity analysis on the suspected abnormal fetal heart segments according to the uterine contraction pressure time sequence, and determining the influence degree of uterine contraction on each suspected abnormal fetal heart segment; according to the fetal heart abnormality indexes and the influence degrees of all the suspected fetal heart abnormality sections, the credibility of the fetal heart rate sequential sequence is determined by combining the ratio condition of the target moment number to the current total fetal heart monitoring moment number. By determining the credibility, the situation that the fetal heart monitoring data is misjudged to be abnormal due to interference of uterine contraction can be avoided, and then the fetal heart monitoring false positive rate of the high-risk pregnant patient is reduced.

The invention belongs to the field of medical treatment, and relates to a dynamic birth process progress automatic monitoring method, which comprises the following steps: S1, continuously detecting and screening image frames containing intact pubis symphysis and fetal head skull halo; s2, performing standard section screening on the continuous ultrasonic image frames by using a USPNet model based on a Swin Transform architecture; s3, automatically marking a birth process progress angle and a fetal head exposure position through an AI segmentation model, and calculating a fetal head exposure value; s4, driving the three-dimensional fetal head and pelvis model based on the real-time progress angle and fetal head exposure position data, and dynamically rendering and updating a relation graph of the three-dimensional fetal head and pelvis; s5, dynamically displaying the three-dimensional relational graph of the fetal head and the pelvis; and S6, establishing a fetal head descending and uterine contraction signal time sequence curve, and estimating the descending amplitude of the fetal head in the future set time based on a linear regression or curve fitting prediction algorithm. According to the application, continuous, dynamic and accurate monitoring and visual display in the uterine contraction period can be realized, doctors are assisted in scientific decision making, and the delivery management level is improved.

Formulations, compounds, and methods to prolong gestation and for treatment of gestational complications are described. Treatments include administration of an estrogenic compound to mitigate uterine contractions.

The invention relates to the technical field of medical informatics, in particular to an intelligent endometrial receptivity evaluation system based on multi-modal fusion. The system comprises a memory and a processor, and the processor executes a computer program stored in the memory so as to realize the following steps: acquiring endometrial thickness, estrogen content, luteal hormone content and pulse index of a reference person and a person to be evaluated; determining the intimal change stability according to the endometrial thickness increase characteristics of the reference person; according to the fluctuation condition of the estrogen content of the reference personnel, the decrease condition of the estrogen content detected in two adjacent times and the change condition of the luteal hormone content, determining the category of the to-be-evaluated personnel; and determining the creep over-frequency expression degree by combining the decreasing condition of the pulse index of the to-be-evaluated person and the uterine contraction condition so as to obtain a comprehensive index. According to the method, the data of different dimensions of the endometrium of the to-be-evaluated person is synthesized to obtain the comprehensive index, and reference data is provided for subsequent evaluation of a doctor.

The present invention relates to an analgesic drug administration control system. The system includes a handgrip, an analgesic drug delivery device connected to the handgrip, and an information processing unit. The system is also provided with a uterine contraction detection module and an electroencephalogram signal detection module. Upon receiving a request signal sent by a patient request unit, the information processing unit generates a drug injection amount corresponding to the brain information based on the brain information presented by the electroencephalogram signal detection module, wherein, limited by the original biopotential signal related to uterine muscle contraction presented by the uterine contraction detection module, the drug injection amount adjusted based on the brain information is adjusted within a divided range that matches the uterine contraction rhythm reflected by the original biopotential signal. The present application uses the uterine contraction state as an objective reference factor of the parturient's body to generate an injection control signal including an injection type and an injection amount, and adjusts the point value within the injection amount range based on a subjective factor with the parturient's pressure as the main reference information.

The embodiment of the invention provides a delivery progress prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring three-dimensional point cloud data of a pelvis area through a radar sensor; acquiring tissue metabolism state data of a cervical orifice area and acquiring uterine contraction pressure data; obtaining delivery multi-modal data according to the three-dimensional point cloud data, the tissue metabolism state data and the uterine contraction pressure data, performing feature extraction on the delivery multi-modal data to obtain soft tissue deformation features, cervical state features and current uterine contraction features, and performing cross-modal feature fusion to obtain delivery multi-modal features; performing open finger prediction based on the delivery multi-modal features to obtain open finger prediction data; the delivery process is predicted based on the open finger prediction data, the delivery progress is obtained, the delivery process prediction method and device can be applied to business systems needing a large number such as health care, and the delivery process prediction efficiency and precision can be improved.

The present invention is, even outside of a hospital, capable of inexpensively and conveniently identifying the state of a mother or a fetus. A pregnancy state estimation device according to the present invention comprises: an information acquisition unit that acquires an electrical activity record which has been derived from a mother and percutaneously measured; an inference unit that infers the pregnancy state of the mother by inputting the electrical activity record into a trained model which sets, as an input, the electrical activity record and sets, as an output, a pregnancy state including information related to at least one of the uterine contractions of the mother and the fetal heart rate in the mother; and an output unit that outputs the pregnancy state generated by the inference unit.

The invention discloses a uterine contraction detection method based on multi-modal signal fusion reconstruction, which comprises the following steps of: 1, synchronously acquiring an abdominal surface uterine electromyographic signal in real time through a high-density electrode array, acquiring a uterine contraction pressure signal in cooperation with a fundus pressure sensor, synchronizing a triaxial accelerometer signal to acquire a maternal motion signal, and preprocessing; 2, performing time sequence alignment and resampling on the data, and constructing a quality mask to form a multi-mode uterine contraction signal data set; 3, constructing a reconstruction network based on multi-modal feature fusion; 4, constructing a total loss function of the multi-modal feature fusion reconstruction network; and 5, training a reconstruction network of multi-modal feature fusion, wherein the reconstruction network is used for fusion reconstruction of the multi-modal uterine contraction data. According to the invention, through multi-modal signal fusion and deep feature correlation analysis, accurate monitoring and prediction of uterine contraction and premature delivery risks in the pregnant and birth period can be realized.

The utility model discloses an abdominal pressure belt for aiding delivery and preventing postpartum hemorrhage, which relates to the technical field of medical tools and comprises a bridle and a pressure belt, a cover bag is sewn on the outer side wall of the pressure belt, and a bag is arranged in an interlayer between the pressure belt and the cover bag. The olive oil in the bag is stroked out upwards by stroking the pressing belt from bottom to top, the olive oil overflows from the injection plug through the bag cavity, wets the cotton piece on the inner layer and is evenly smeared on the belly of the pregnant woman through the open holes, the olive oil contains fat-soluble vitamin E, the fat-soluble vitamin E is effectively absorbed by the skin, metabolism can be enhanced, and the belly skin of the pregnant woman is kept wet; the body is improved by utilizing the metabolism enhancing effect of the olive oil, the problem of uterine contraction and weakness can be avoided to a certain extent, and postpartum hemorrhage of pregnant women is avoided.

The invention provides a midwife remote monitoring system and method, and the system comprises a data collection module which collects uterine contraction pressure waveform and fetal heart sound signals through a flexible sensing bellyband, obtains blood oxygen saturation and pulse wave conduction time signals through a physical sign monitoring ring, analyzes urine biochemical indexes through an intelligent analysis closestool, and a data processing module. The denoising module is used for denoising uterine contraction and fetal heart signals by adopting a wavelet threshold denoising algorithm, aligning uterine contraction waveforms and calculating a uterine contraction interval time sequence based on an improved dynamic time warping algorithm, and fusing multi-source data through an LSTM neural network to generate a physical sign parameter predicted value; a comprehensive risk score of a uterine contraction interval, a physical sign predicted value and a biochemical index is calculated based on a weighted evidence theory algorithm, a personalized physiological baseline model is constructed by utilizing Gaussian process regression, and a three-level early warning mechanism is realized to trigger emergency response step by step. According to the invention, real-time monitoring of the pregnant woman at home is realized through multi-modal sensing and an intelligent algorithm, and the detection rate of abnormal events is improved.

The present application relates to the technical field of electric digital data processing, in particular to a method, device and system for reducing false positive rate of fetal heart monitoring of high-risk pregnant patients, which comprises: obtaining a fetal heart rate time sequence and a uterine contraction pressure time sequence, analyzing the degree of fetal heart rate deviating from the normal range according to the fetal heart rate time sequence to determine the fetal heart abnormality index of each to-be-determined abnormal segment; performing regularity analysis on the suspected fetal heart abnormality segment according to the uterine contraction pressure time sequence to determine the influence degree of each suspected fetal heart abnormality segment on the uterine contraction; and determining the credibility of the fetal heart rate time sequence according to the fetal heart abnormality index and the influence degree of each suspected fetal heart abnormality segment, combined with the ratio of the target time number to the current total fetal heart monitoring time number. By determining the credibility, the misjudgment of abnormality caused by the interference of uterine contraction on the fetal heart monitoring data can be avoided, and thus the false positive rate of fetal heart monitoring of high-risk pregnant patients is reduced.

The invention relates to an analgesic drug delivery regulation and control system. The system comprises a hand-muscle developer, analgesic drug delivery equipment connected with the hand-muscle developer and an information processing unit. The system is further provided with a uterine contraction detection module and an electroencephalogram signal detection module. When a request signal sent by a patient request unit is received, the information processing unit generates a drug injection amount corresponding to brain information based on the brain information presented by the electroencephalogram signal detection module, and the drug injection amount is limited by an original biopotential signal which is presented by the uterine contraction detection module and related to uterine muscle contraction. The drug injection amount adjusted based on brain information is adjusted within a divided range matched with the uterine contraction rhythm reflected by the original biopotential signal. An injection control signal including an injection type and an injection amount is generated with a uterine contraction state as a body objective reference factor of a puerpera, and a point value within an injection amount range is adjusted based on a subjective factor with puerpera pressure as main reference information.

The application discloses a delivery force dynamic guidance method and system based on uterine contraction signals, and relates to the technical field of medical monitoring equipment.The method comprises the following steps: acquiring the uterine contraction pressure signals and force signals of a lying-in woman in real time; monitoring the uterine contraction pressure signals in real time; after identifying the starting point of one uterine contraction, generating a dynamic force guidance curve synchronized with the uterine contraction pressure signals; the dynamic force guidance curve comprises a plurality of continuous force sub-periods, each force sub-period comprises a force segment and a ventilation segment, and the number of force sub-periods is dynamically determined according to the predicted duration of the uterine contraction pressure signals in one uterine contraction period; generating an actual force intensity curve based on the force signals; and superimposing and displaying the dynamic force guidance curve and the actual force intensity curve in real time.The application solves the problems in the prior art that the delivery force guidance mainly depends on oral instructions, the guidance information is fuzzy, lacks quantitative standards, has no real-time effect feedback, and causes the lying-in woman to have low force efficiency.

The invention relates to the field of intrauterine devices, and discloses a degradable intrauterine device which comprises a main rod, an automatic anchoring and degrading mechanism is arranged outside the main rod, a tail line mechanism is arranged at the rear end of the main rod, a developing and pre-breaking mechanism is arranged in the main rod, the automatic anchoring and degrading mechanism comprises an adaptive coating, and the adaptive coating is arranged in the main rod. The inner portion of the adaptive coating is fixedly connected to the outer portion of the main rod, the front end of the main rod is connected with two side arms through an adjusting assembly, the outer portions of the side arms are fixedly connected with flexible soft anchors, the adjusting assembly comprises a fixing ring, and the outer portion of the fixing ring is fixedly connected to the front end of the main rod. After the intrauterine device enters a uterine cavity, the shape memory polymer of the side arm receives a body temperature signal and is synchronously, slowly and softly unfolded into a T shape under the guidance of the fixing ring and the spherical hinge, and the flexible soft anchor at the tail end lightly abuts against the uterine base; the fixing ring and the spherical hinge enable the intrauterine device to enter a'dynamic adaptation mode ', and uterine contraction pressure is buffered.

The application relates to the technical field of postpartum hemostasis, and discloses a gynecological hemostasis device which comprises an extension flow guide mechanism and an inflatable compression hemostasis mechanism. One end of the extension flow guide mechanism away from the inflatable compression hemostasis mechanism is provided with an electric pressure relief mechanism, and both sides of the electric pressure relief mechanism are provided with mechanical pressure relief mechanisms. The gynecological hemostasis device can monitor and feedback control the internal air pressure in real time by means of the electric pressure relief mechanism during use. When the uterus contracts and extrudes the internal compression air bag to cause the air pressure to rise, the electric pressure relief mechanism can be quickly started to release pressure to maintain pressure stability. Meanwhile, the two sets of mechanical pressure relief mechanisms arranged in parallel can automatically work when the electric pressure relief mechanism fails or responds with delay, forming a double-redundancy protection mechanism, so that the compression effect of the device on the uterine cavity during the uterine contraction process is always within the preset safe pressure range, and the risk of excessive local pressure in the uterus is effectively prevented.

The invention discloses an artificial insemination transplantation device for reproductive medicine, relates to the technical field of reproductive medicine, and aims to solve the technical problem of single function of the artificial insemination transplantation device for reproductive medicine. A gap in the machine body forms an operation cavity; the operation cavity is sequentially provided with a pumping control mechanism, a constraint adjusting mechanism and a foundation propelling mechanism. The probing transplantation catheter is adjusted and controlled, so that the probing transplantation catheter has a peristaltic propulsion state to perform relatively mild and flexible insertion work on an unproduced cervical orifice, and damage to the cervical orifice caused by a conventional hard propulsion process is effectively reduced based on the characteristics of peristaltic motion; by matching with the separated and stacked state of the probing transplantation catheter, the axial area of the probing transplantation catheter at the controllable distance position is increased, the probing transplantation catheter can be temporarily left in the uterus to block the uterine neck internal opening after production, the situation that the sperm transplantation amount is insufficient due to sperm backflow and uterus contraction is reduced, and the adaptation functionality is effectively improved.

The invention discloses a pregnancy prediction method and device based on a dynamic time warping algorithm, and the method comprises the steps: 1), obtaining an original 16-channel EHG signal, carrying out the preprocessing, obtaining a 12 * 12 bipolar signal, dividing a uterine contraction window, and obtaining an EHG signal of a uterine contraction segment corresponding to a TOCO signal; 2) for 12 * 12 bipolar signals, calculating the DTW distance between different bipolar signals by using a dynamic time warping algorithm, measuring the similarity between the signals through the DTW distance, obtaining a 12 * 12 DTW matrix, and visualizing the 12 * 12 DTW matrix; 3) according to the DTW matrixes of different subjects in different pregnancy periods, evaluating changes of the visual DTW matrixes of different subjects in different pregnancy periods; observing how the average DTW distance between the electrodes in the horizontal and vertical directions varies with the progression of pregnancy; evaluating the difference between the average DTW distance in the horizontal direction and the average DTW distance in the vertical direction; and 4) taking the DTW matrix obtained in the step 2) as a feature, dividing a data set into a training set and a test set, combining a real label, performing pregnancy prediction by using a support vector machine (SVM), and verifying the effectiveness of the DTW distance in pregnancy prediction.

1. The name of this design product: Uterine contraction pressure probe. 2. Purpose of this product design: used to obtain pregnancy electrocardiogram information and uterine contraction pressure information of pregnant women. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 Stereoscopic Drawing 1. 5. Designate Design 1 as the base design.

The present application relates to the technical field of signal processing and analysis, and discloses a fetal heart rate and uterine contraction double monitoring system based on artificial intelligence, which comprises a signal decoupling module for constructing a signal decomposition network of multi-channel physiological signals; a signal feature extraction module for extracting a time domain feature set and a frequency domain feature set of a fetal heart rate signal sequence and extracting a time-varying nonlinear feature set of a uterine contraction signal sequence; a coupling relationship analysis module for constructing a heart rate-contraction joint space-time feature map of the time-varying nonlinear feature set, the time domain feature set and the frequency domain feature set, and determining a heart rate-contraction coupling relationship of a fetal heart rate state and a contraction intensity; an abnormal joint index analysis module for calculating a fetal hypoxia probability and a contraction frequency probability of a pregnant woman to determine an abnormal joint index of the pregnant woman; and a monitoring report generation module for generating a monitoring report of the pregnant woman. The present application can improve the accuracy and comprehensiveness of fetal heart rate and uterine contraction double monitoring.

The utility model relates to the technical field of obstetric tables, and discloses a multifunctional adjustable bed for a puerpera, which comprises a bed body and a protective plate arranged on the peripheral side of the bed body, binding auxiliary parts are arranged on the two sides of the bed body, each binding auxiliary part comprises a support frame fixed on the two sides of the bed body, a motor is fixedly connected to the support frame, and the protective plate is arranged on the protective plate. A winding drum fixedly connected with the bed body is arranged at the outer side end of the supporting frame, the rotating part of the winding drum is connected with the output end of the motor in a matched mode, a bandage is fixedly connected to the winding drum, and a connecting sleeve is fixedly connected to the end of the bandage; according to the novel multifunctional adjusting bed applied to the puerpera, the binding auxiliary part is arranged to be matched with the uterine contraction time of the puerpera, a midwifery nurse controls motors on the two sides to drive winding drums to wind binding bands, the binding bands drive connecting sleeves to contract, then the two legs of the puerpera are separated outwards, the two legs are separated to be matched with uterine contraction, and production is facilitated; the condition of leg clamping caused by pain of the pregnant woman can be avoided, and the parturition time of the pregnant woman is shortened.

The application provides a kind of sow uterine contraction behavior recognition method based on machine vision, it is related to image processing field, comprising: step S1, data acquisition, step S2, data transmission, step S3, model inference and processing, step S4, behavior detection and output.The method can automatically identify sow uterine contraction behavior, be conducive to the supervision of the state of sow in labor of front-line breeding personnel, reduce the death of sow in labor and newborn piglets, improve the economic benefit of breeding enterprise;At the same time, the method effectively balances the precision of sow uterine contraction behavior recognition and the complexity of model, and then has strong practicability, meets the needs of actual production environment.

According to the premature delivery prediction method and device based on the uterus vector electromyographic signals and the processing equipment, through a specially-designed novel electrode arrangement scheme, the collected uterus vector electromyographic signals are different from traditional uterus surface electromyographic signals, the spatial characteristics of uterus contraction activities can be reflected more comprehensively, and the premature delivery prediction accuracy is improved. Compared with the prior art, the premature delivery detection method has the advantages that the premature delivery detection method contains more signal characteristics related to premature delivery, so that high premature delivery prediction precision can be achieved under the condition of fewer measuring electrodes, and clinical application value is achieved.

The invention provides a sow uterine contraction behavior recognition method based on machine vision, and relates to the field of image processing, and the method comprises the steps: S1, data collection, S2, data transmission, S3, model reasoning and processing, and S4, behavior detection and output. According to the method, the sow uterine contraction behavior can be automatically identified, supervision of the state of the to-be-delivered sow by first-line breeding personnel is facilitated, death of the to-be-delivered sow and newborn piglets is reduced, and economic benefits of breeding enterprises are improved; meanwhile, the method effectively balances the accuracy of sow uterine contraction behavior recognition and the complexity of the model, has high practicability, and meets the requirements of the actual production environment.

The application discloses a uterine contraction detection patch, which comprises a patch base material, a pressure sensor, a PCB and a data transmission unit, the patch base material is used for being attached to a subject, the pressure sensor is arranged on the patch base material, the pressure sensor is used for collecting uterine contraction pressure data of the subject, the PCB is arranged on the patch base material, and the PCB is electrically connected with the pressure sensor. The data transmission unit is electrically connected with the PCB. The uterine contraction detection patch can be attached to the belly of a subject through the patch base material, the patch base material obtains uterine contraction pressure data through the pressure sensor to form uterine contraction data, the patch base material is soft and comfortable, the surface is flat and smooth, damage to the skin of a pregnant woman can be reduced, and bruise or pressure sores on the belly skin of the pregnant woman are avoided.

The invention discloses an intelligent visual midwifery system for gynaecology and obstetrics based on an ultrasonic technology, and relates to the technical field of intelligent evaluation of a delivery process. Key features such as a fetal structure, cervical dilatation and a pelvic form are extracted by collecting two-dimensional and three-dimensional ultrasonic images of a pelvic cavity area of a puerpera in real time; a high-dimensional parameter model is constructed in combination with the uterine contraction period, the body position change trend and the fetal head rotation angle and is used for predicting the delivery stage; meanwhile, an individualized digital twinborn three-dimensional maternal pelvis model is established based on recognition and prediction results, a fetal head descending path and birth canal dynamic deformation are simulated, and three-dimensional visual display is provided; furthermore, cross validation is carried out through a preset rule base and a neural network output result, and abnormal trend recognition and intervention suggestion pushing are realized; the intelligent level and the precision level of birth process monitoring are improved, and the scientificity and the safety of clinical midwifery decision making are enhanced.

The invention provides an oxytocin injection precise administration method based on physiological pharmacokinetics (PBPK) model optimization, and relates to the technical field of individualized drug administration. According to the method, firstly, individual physiological parameter information of a target receptor is collected, an individual PBPK model is constructed, simulation operation is carried out in combination with drug characteristics of oxytocin, and in-vivo drug distribution under different drug administration schemes is predicted. By evaluating the drug concentration, the drug administration duration and the uterine contraction reaction predicted value of each scheme in the uterine tissue and system circulation, the optimal drug administration parameter combination meeting the drug efficacy and safety requirements at the same time is screened from the drug concentration, the drug administration duration and the uterine contraction reaction predicted value. An injection control command is generated based on the combination, and precise infusion is performed through an injector system with a program control function. According to the method, individualized precise regulation and control based on model driving are achieved, and the safety and clinical effect of oxytocin medication are effectively improved.