109 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 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.

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 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 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 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.

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 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 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.

The invention relates to the technical field of massage instruments, in particular to an adjustable postpartum automatic uterus massage instrument with a moxibustion heating function, which comprises a main body mechanism and four massage mechanisms, and the four massage mechanisms are symmetrically mounted on the main body mechanism; the main body mechanism comprises a first shell, an infrared moxibustion instrument is installed at the top of the first shell, and two heat insulation curtains are symmetrically bonded to the inner side wall of the first shell; infrared moxibustion heating and automatic mechanical massage functions are integrated, warm stimulation can promote abdominal blood circulation and relax muscles, mechanical massage directly acts on a uterus area, and the warm stimulation and the mechanical massage synergistically enhance the contractility of the uterus and accelerate lochia discharge and uterus involution; the left-right position is adjusted through sliding of an I-shaped plate, the massage angle is adjusted through transmission of a threaded rod, the length is adjusted through telescopic of a sleeve, and the height and force adjustment of an electric push rod is combined, so that the device can accurately adapt to puerperae with different body forms and uterus positions, the problem that traditional equipment is poor in fitting degree is solved, and the accurate effect of massage and moxibustion is ensured.

The utility model relates to the technical field of medical auxiliary equipment, and discloses a portable fetal heart monitoring fixing band which comprises a first fixing band body, a plurality of first through holes are formed in the outer portion of the first fixing band body, a uterine contraction probe is fixedly connected to the front side of the interior of the first fixing band body, and an adjusting assembly is fixedly connected to the top of the first fixing band body. The top of the adjusting assembly is fixedly connected with a second fixing belt, the exterior of the second fixing belt is fixedly connected with a fetal heart probe, the exterior of the first fixing belt is fixedly connected with a shell, the interior of the shell is fixedly connected with a guide assembly used for assisting the first fixing belt in movement, the exterior of the shell is fixedly connected with a connecting frame, and the connecting frame is fixedly connected with a fixing assembly. The interior of the connecting frame is fixedly connected with a fixing shaft, and the exterior of the fixing shaft is rotationally connected with a clamping plate. According to the utility model, the smooth surface of the guide roller ensures the smoothness of the fixing belt I during movement, and the resistance caused by friction is reduced. Due to the design of the clamping plate, the stability of the first fixing band and the second fixing band in the using process is guaranteed, loosening or displacement is prevented, and therefore the fetal heart monitoring accuracy is guaranteed.

The utility model discloses blood oxygen, fetal heart and uterine contraction integrated monitoring equipment, which comprises a host shell, a fetal heart probe and a uterine contraction probe, a blood oxygen detection module is arranged on the host shell, a control panel is arranged in the host shell, and the fetal heart probe, the uterine contraction probe and the blood oxygen detection module are respectively and electrically connected with the control panel; the blood oxygen detection module comprises an upper clamping plate, one end of the upper clamping plate is hinged to the upper end face of the host shell, the upper clamping plate can rotate and swing along the hinged end, a light emitting device is arranged on the upper clamping plate, and a light receiving device is arranged at the position, corresponding to the light emitting device, of the upper end face of the host shell. And the light emitting device and the light receiving device are electrically connected with the control panel respectively. According to the utility model, fetal heart monitoring, uterine contraction monitoring and blood oxygen monitoring are integrated on one instrument, so that convenience is brought to a user, the daily use requirements of the user are met, the acquisition cost of the user can be reduced, and the use favor of the user is improved.

The present application belongs to the technical field of uterine contraction recognition, and particularly relates to a uterine contraction recognition method and system based on ultrasound images, a terminal and a storage medium. The method comprises: based on comparison and processing of the obtained first-time point ultrasound image and second-time point ultrasound image, a muscle change area is recognized; when the muscle change area meets a preset trigger condition, uterine contraction state determination processing is performed. The uterine contraction state determination processing comprises: calculating a uterine contraction evaluation value based on the muscle change area, and determining the uterine contraction state according to a preset judgment relationship between the uterine contraction evaluation value and a preset uterine contraction judgment threshold. Through multi-level condition judgment, the present application effectively filters out transient noise and non-uterine contraction activity artifacts, and improves the accuracy and robustness of uterine contraction recognition.

The application discloses a traditional Chinese medicine composition for treating dysmenorrhea and application thereof, and belongs to the technical field of biological medicine. The traditional Chinese medicine composition comprises the following components in parts by weight: 10-20 parts of Astragalus membranaceus, 10-20 parts of Foeniculum vulgare, 7-15 parts of Angelica sinensis, 7-15 parts of Cistanche deserticola, 7-15 parts of Lonicerae japonicae, 3-10 parts of Ligusticum chuanxiong, 3-10 parts of Cinnamomum cassia, 3-10 parts of Zingiber officinale, 3-10 parts of Radix glycyrrhizae, 3-10 parts of Cyperus rotundus, and 3-10 parts of Corydalis bungeana. The components in the traditional Chinese medicine composition can soothe channels and relieve pain, relieve pain caused by uterine contraction or uterine spasm, and the raw materials are free of side effects compared with western medicines.

The invention discloses a method and a device for generating a uterine myoelectricity examination report. The method comprises the steps that S1, the format of a uterine myoelectricity examination report is configured, wherein the uterine myoelectricity examination report comprises a puerpera information area, an electrode distribution area, a uterine myoelectricity oscillogram / electronic uterine contraction EUCG area and a data information area; s2, obtaining puerpera information; s3, selecting an electrode distribution diagram from the standard electrode distribution diagram library according to the number of channels in the puerpera information; s4, a uterus myoelectricity oscillogram and an electronic uterine contraction EUCG graph are obtained; s5, obtaining the number of explosion times, the EHG explosion peak value, the explosion duration time and the explosion interval time value; and S6, generating a uterine myoelectricity examination report. According to the invention, doctors and lying-in women can accurately know examination information.

A system and method for stimulating a uterine muscle of a maternal patient after childbirth includes operating a plurality of surface electrodes configured to be disposed on an abdomen of a maternal patient and a stimulator connected to at least two of the plurality of surface electrodes and configured to generate stimulation pulses between at least two of the plurality of surface electrodes. A control system is configured to control the stimulator to deliver a plurality of stimulation pulses via the plurality of surface electrodes to the maternal abdomen to stimulate the uterine muscle of the maternal patient, such as to cause uterine shrinkage after childbirth.

Uterine peristalsis imaging (UPI) can provide objective, quantitative measures of uterine peristalsis (UP). Unlike other modalities, the contractile activity seen during UP can be quantitatively measured and reliably observed with UPI. With 3D accuracy, which takes into consideration the individual's unique uterine anatomy, the site of initiation and termination of the contraction are mapped along with the characterization of the direction, duration, and magnitude of the contractile forces. Novel peristalsis indices were developed for quantitative characterization of uterine contractile patterns. This includes measuring the duration and magnitude of UP. This assessment can be performed in a noninvasive way with little patient discomfort for a prolonged period.

The invention discloses a maternal and child internet-of-things equipment data transmission safety protection and abnormity monitoring method and system, and belongs to the technical field of medical internet-of-things safety, and the method comprises the steps: S10, carrying out risk monitoring on related data, including fetal heart monitoring data, dividing the fetal heart monitoring data into fetal movement data, uterine contraction pressure data and fetal heart rate variation data; and S20, risk monitoring is carried out, related information corresponding to the fetal movement data, the uterine contraction pressure data and the fetal heart rate variation data is obtained, the related information comprises text features and byte capacity, and the fetal movement data, the uterine contraction pressure data and the fetal heart rate variation data tampered by an attacker are collected from the text features and the byte capacity. According to the method, data tampering attacks can be effectively identified and defended, meanwhile, the integrity of high-level importance data is guaranteed, the safety of data transmission and the accuracy of anomaly monitoring are improved, and effective safety protection is provided for data protection in the field of medical Internet of Things.