16 results about "Fetal movement" patented technology

The invention belongs to the technical field of medical equipment, and particularly discloses a pregnancy monitoring method and system based on multi-mode signals, and the method comprises the following steps: synchronously collecting multi-mode physiological signals of a fetus and a maternal body; based on the synchronously collected multi-modal physiological signals, multi-channel feature extraction is carried out; on the basis of the extracted multi-channel features, screening out a feature subset with the most discriminant ability by using feature engineering; and inputting the feature subset into a pre-trained machine learning model, and outputting starting and ending of single fetal movement time, duration, fetal movement type and strength and maternal physiological features. By adopting the technical scheme, multi-mode synchronous acquisition is realized, high-sensitivity and high-specificity detection on fetal movement events and physiological characteristics and states of a mother are realized by adopting a characteristic engineering and machine learning model, non-invasive and harmless real-time monitoring on health conditions of the fetus and the mother is realized, and when the mother or the fetus is abnormal, intelligent remote alarm is realized, so that the safety of the fetus is improved. And a guarantee can be better provided for the health of fetuses and maternal bodies.

The application provides a wearing device based on promoting fetal movement and inducing fetal movement track, which comprises a wearable flexible base, an array of sound pickups, a sound collection detection module, a sound fetal education storage and playing module, an illumination fetal education LED lamp array, a system control module and a system power module are arranged on the wearable flexible base; the array of sound pickups is used for collecting fetal sound and fetal movement signals, converting the fetal sound and fetal movement signals into voltage signals that can be processed by a later unit, and sending the signals to the sound collection detection module.

The utility model provides a fetal movement monitoring patch, and belongs to the technical field of life health. According to the utility model, the circuit layer is arranged on the sensing layer with the plurality of piezoelectric sensors, the connecting wires extending towards each piezoelectric sensor are arranged in the circuit layer, each piezoelectric sensor is provided with the power connection electrode, and each connecting wire is provided with the matching electrode corresponding to the power connection electrode. The side, away from the circuit layer, of the sensing layer is provided with the pasting layer, the sensing layer is directly pasted to the abdomen of a pregnant woman through the pasting layer, other wearing tools are not needed, constraint to the abdomen of the pregnant woman is reduced, the use safety and convenience are improved, overall outer side protection is achieved by covering the circuit layer with the appearance layer, the durability is better, and the service life of the pregnant woman is prolonged. And the service life is longer. And the power connection electrode is detachably connected with the matching electrode, so that the sensing layer can be replaced when the monitoring accuracy, stability and safety are insufficient due to long-time use, the structure is more flexible, and the use cost is lower.

The application provides a dynamic modeling method and system for multi-field skill AI automatic semantic labeling, and relates to information retrieval, medical health and cross-field skill fusion scene. Through nonlinear dynamic modeling and biomedical stability control, the semantic label automatic generation and real-time matching of talent skill and health intervention effectiveness are realized. The application innovatively integrates the sound wave frequency of fetal brain promoting music method, maternal action instruction and blood type nutrition scheme into the "skill-time" frequency domain space, combines the Gevrey smoothing operator and fractional derivative evolution equation, accurately separates the temporary fetal movement fluctuation and low-frequency core characteristics, and breaks through the characterization limitation of traditional models on nonlinear biological coupling effect. By introducing the "intervention effect-time" frequency domain component and local dependency constraint, the short-term effectiveness and long-term value of music intervention on fetal neurodevelopment are quantified, and the model distortion problem caused by extreme data or cross-field parameter resonance in traditional methods is solved.

This invention relates to the field of medical monitoring equipment technology, and discloses a wearable device for dynamic electrocardiogram (ECG) monitoring of pregnant women. The device includes a wearable base and an ECG acquisition component, a signal processing unit, and a power supply module mounted on the wearable base. The ECG acquisition component and the signal processing unit are electrically connected. The wearable base includes an upper fixing strap, a lower fixing strap, and a flexible mesh support base fixedly connected between the upper and lower fixing straps. The ECG acquisition component includes at least one ECG electrode and a fixing base. A temperature-sensing control component is disposed inside the ECG electrode. The ECG electrode is attached to one side of the pregnant woman's abdominal skin, and the side of the ECG electrode closest to the pregnant woman's skin has a concave arc-shaped portion adapted to the contour of the pregnant woman's abdomen. The fixing base is located on the side of the flexible mesh support base opposite to the skin. This device improves the accuracy and stability of acquiring weak fetal ECG signals through the temperature-controlled arc-shaped electrode adapted to the pregnant woman's abdomen and the detachable mesh base, simultaneously realizing fetal movement sensing.

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.

This invention discloses a method and related equipment for predicting and intervening in the risk of stillbirth related to umbilical cord torsion. The method acquires multimodal clinical data, including the pregnant woman's complaints and prenatal ultrasound examination information, and standardizes the data to extract core predictive factors such as changes in fetal movement, signs of umbilical cord root torsion, and fetal growth restriction, as well as auxiliary predictive factors such as abnormal amniotic fluid volume and abnormal placental-umbilical cord insertion, constructing a feature vector that the model can process. Based on a pre-trained risk prediction model, the risk of stillbirth related to umbilical cord torsion is quantitatively assessed, a comprehensive risk score is output, and risk levels are classified. Based on the risk level, a pre-set clinical intervention strategy is automatically matched to form standardized treatment recommendations, which are then output to the clinical terminal. This method overcomes the limitations of traditional methods that rely on low sensitivity of single ultrasound diagnosis, achieving early risk identification and tiered management.

The utility model provides a modularized fetal movement sensor, and belongs to the technical field of life health. According to the utility model, the plurality of first connecting pieces are arranged on the outer side of the central processing part, each first connecting piece corresponds to the electrode part with the piezoelectric electrode, each electrode part is provided with the second connecting piece, and the connecting part is arranged between each first connecting piece and the corresponding second connecting piece; the connecting part is rotationally connected with the first connecting piece, and the connecting part is detachably connected with the second connecting piece, so that the modular arrangement of the structure is realized, the structural flexibility is better, a proper number of electrode parts can be selected to be connected with the central processing part according to fetal movement detection requirements of different pregnant women in different periods, in addition, the waste of resources is avoided, and the production cost is reduced. Meanwhile, the monitoring direction and angle of each electrode part can be adjusted through the rotation of the connecting part relative to the central processing part, so that the accuracy of the monitoring structure is improved, and the popularization and use of the product are facilitated.

1. Name of the product in this design: Ultrasonic Doppler Fetal Monitor (FS Series). 2. Purpose of this design: For continuous monitoring of fetal heart rate, fetal movement and maternal uterine contraction pressure during the perinatal period. 3. The key design features of this product are its overall shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

Systems and methods for acquiring and processing data collected by a wearable device for monitoring fetal movements. The wearable device is wearable by the user. A sensor assembly includes at least one of Electrical Resistance Tomography (ERT) or Electrical Impedance Tomography (EIT) electrodes. The sensor assembly detects fetal movements by measuring changes in resistance or impedance. An electronics unit transmits current through the electrodes and collects measurements. A processing unit determines and displays a status of the fetus accordingly. The present disclosure offers high-resolution, continuous tracking in a comfortable design, providing detailed insights into fetal activity and health for comprehensive prenatal monitoring.

Disclosed is a method of determining fetal movement during pregnancy or labour. The method comprises receiving patient data from measurements from a first sensor and a second sensor attached to a patient, each of the first and second sensors being selected from a set of sensor types consisting of an EMG (Electromyography) sensor, a flex sensor and an accelerometer, the patient data from the second sensor allowing detection of fetal movement when physiological signals impede detection of the fetal movement in the patient data from the first sensor, wherein the first sensor is a different sensor type from the second sensor. The method also comprises determining that fetal movement has occurred by processing the received patient data from the first and second sensors in order to indicate the determined fetal movement.

The invention discloses a household monitoring and alarming system for self-testing fetal movement and fetal heart. According to the system, fetal movement and fetal heart rate can be monitored in real time, and it is ensured that a mother can know the condition of a fetus at any time. The system adopts a Bluetooth or Wi-Fi technology to wirelessly transmit data to a smart phone or other equipment, so that a mother can conveniently check and store the data. An intelligent algorithm is built in the system to analyze fetal movement and fetal heart data, and if abnormity is detected, the system needs to remind a pregnant woman in time and suggest to see a doctor. The system can store historical monitoring data, a doctor can conveniently carry out long-term trend analysis, a user support module in the system provides online or telephone customer support and use tutorial and health education information, pregnant women are helped to better understand and use the device, and therefore the convenience and rapidness of the whole system during use are improved, and the system is suitable for popularization and application. Therefore, anxiety of the pregnant woman can be reduced, the pregnant woman can see a doctor in time when problems are found, and prenatal and postnatal care can be promoted.

The application relates to the technical field of sensors, and provides a preparation method of a strain-pressure sensor, a monitoring device and a monitoring method. The monitoring device based on the strain-pressure sensor comprises at least one strain-pressure sensor and a signal acquisition circuit module and a signal processing module which are uniformly distributed, the strain-pressure sensor generates a first resistance signal and a second resistance signal according to different physiological states, the signal acquisition circuit module outputs corresponding first digital signals and second digital signals based on the first resistance signal and the second resistance signal, the signals are transmitted to the signal processing module in a wireless transmission mode, and the signal processing module calculates and outputs continuous physiological information and analysis results of a user through a "double band-pass-peak value detection" algorithm and a "fetal movement monitoring" algorithm. Through the monitoring device, the problems of single function, insufficient sensitivity, difficulty in adapting to the slight deformation or jumping of human skin, lack of continuous monitoring capacity and the like of the existing health monitoring devices can be solved.

Abstract A wearable belt for non-invasive monitoring of uterine contractions, fetal movement, and fetal heart rate with a central processing and wireless data transmission unit is a modular medical wearable belt designed for non-invasive monitoring of pregnancy status. The main problem in prior systems was their restriction to monitoring one or two physiological indicators and an integrated structure that made replacement or upgrade of components difficult. The solution presented in this invention is a flexible belt with a central processing and power-supply unit and independent sensor cartridges. The sensors employed include uterine-contraction, fetal-movement, and fetal-heart-rate sensors that collect data simultaneously and, after synchronization and processing, are transmitted via a wireless communication module to a receiving device. This design enables accurate and continuous monitoring of pregnancy status without the need for complex hospital equipment, and, due to its modular structure, installation, removal, and serviceability of components can be performed easily.

This application provides an intelligent analysis method and system for fetal movement monitoring, relating to the field of smart medical system technology. The method includes: receiving time-series data of the pregnant woman's abdomen from a fetal movement sensor array; filtering the time-series data of the pregnant woman's abdomen using a least mean square adaptive filter to determine the pregnant woman's fetal movement data; extracting fetal movement feature data corresponding to the pregnant woman's fetal movement data; selecting a predetermined number of memory units with the highest corresponding affinity from each memory unit to form an associated antibody cluster; determining the fetal movement abnormality risk value based on the fetal movement risk label and corresponding affinity of each antibody in the associated antibody cluster; if the fetal movement abnormality risk value does not exceed a preset risk threshold, it is determined that there is no fetal movement abnormality risk; and if the fetal movement abnormality risk value exceeds the risk threshold, it is determined that there is a fetal movement abnormality risk. Thus, continuous, real-time, and accurate intelligent monitoring and early warning of the pregnant woman's fetal movement status is achieved.

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.