638 results about "Full Term Neonate" patented technology

An embodiment of the present disclosure provides a reflux-preventing cushion for preventing digestive reflux that occurs in a newborn, the reflux-preventing cushion including a backrest cushion configured to be inclined at a certain angle and allow the newborn to be laid to prevent the digestive reflux, and a buttocks cushion including a pair of bands configured to cover the newborn from both sides of the body of the newborn in a state in which the newborn is laid on the backrest cushion, wherein an uninclined backrest cushion is further included on an upper portion of an inclined backrest cushion.

The invention relates to the technical field of pediatric medical treatment, and discloses a pediatric neonatal jaundice clinical phototherapy management system, which integrates illumination data in an equipment lamp box through a data integration module, extracts the illumination data acquired by the data integration module through a fusion analysis module, and fuses the operation duration of a lamp tube to obtain a phototherapy result. An equipment health state basic model is established, the current equipment health state is predicted through an equipment prediction module on the basis of the established health state basic model, a prediction result is fed back, a patient information system is connected through a personality support module, and basic physiotherapy data of a patient is acquired. And outputting recommended illumination intensity and recommended treatment time based on the basic physiotherapy data, and monitoring a plurality of pieces of monitoring information and feedback output results through a remote monitoring module. The system accurately solves the core problems of dynamic fluctuation of phototherapy intensity, calibration lag and lack of personalized adaptation, and finally achieves dual guarantee of phototherapy effect and safety.

The invention relates to the technical field of newborn medical big data risk assessment, and discloses a newborn disease risk assessment method based on big data analysis. The method comprises the following steps: acquiring an initial multi-modal health record of a newborn from a multi-heterogeneous medical data source; carrying out fusion analysis on the data, and constructing a risk assessment map driven by an event; starting a continuous risk tracking process, performing hierarchical risk scanning by using the map, and identifying a stable risk cluster, an evolution risk cluster and an isolated risk signal; deducing a hierarchical risk management and control plan based on the spatial distribution and time evolution mode of the risk cluster; at the end of each period, integrating latest clinical treatment feedback and monitoring readings, and carrying out reverse calibration on entity node states and relation edge strength in the atlas; and dynamically recombining a measure execution sequence and resource allocation in the plan according to the calibrated atlas. According to the invention, dynamic and continuous evaluation and self-adaptive intervention planning of the neonatal health risk are realized.

The invention discloses a neonatal severe illness management system and system based on an AI large model and electronic equipment, and relates to the technical field of artificial intelligence and health cross, and the system comprises a data access integration module, a model training module and a personalized health suggestion generation module; the data access integration module is used for acquiring multi-modal medical data and performing cross-source heterogeneous fusion processing on the multi-modal medical data to generate a data set; the model training module is used for training a preset large language model based on the data set to obtain a neonatal severe health management model; and the personalized health suggestion generation module is used for generating a corresponding personalized health management scheme according to the vital sign data of the target newborn by using the newborn severe health management model. According to the invention, a health management scheme accurately fitting the individual condition can be provided for each newborn, and the effect and quality of newborn intensive care management are significantly improved.

The invention provides a newborn ear malformation intelligent diagnosis method and system based on multi-modal fusion, and relates to the technical field of image data processing, and the method comprises the steps: obtaining an auricle image of a newborn; constructing a newborn ear malformation diagnosis model; extracting geometric features of the auricle image, and outputting an ear region detection frame in the auricle image; extracting texture features of the auricle image; performing multi-modal fusion on the geometric features and the texture features to obtain fusion features of the auricle image; and according to the fusion feature of the auricle image, detecting whether the newborn has ear deformity, and outputting a deformity type. According to the method, multi-modal fusion can be carried out on the geometric features and the texture features in the newborn auricle image, local details of the ear are fully captured, complex morphological and texture differences are better captured, the distinguishing ability of the model for different ear malformation types is improved, and the accuracy of newborn ear malformation diagnosis is improved.

The invention discloses a neonatal jaundice health management system based on big data, and belongs to the technical field of jaundice health management, and the system specifically comprises the steps: collecting the transdermal jaundice measurement value, hemoglobin concentration, day age and weight data of a neonate through a data collection module; an individualized drift index is calculated based on the hemoglobin concentration and the day age data through a physiological parameter calibration module; inputting the transdermal jaundice measurement numerical value and the individualized drift index into a dynamic correction model through a dynamic prediction analysis module to generate a serum bilirubin prediction numerical value; a time sequence data processing module is used for smoothing the predicted numerical value and calculating the variable quantity of adjacent time points; constructing trend indexes and generating serum bilirubin change trend data through a trend analysis and detection module; and finally, generating a health management scheme based on the threshold level and the trend change point through an intelligent decision module. According to the invention, effective assessment and personalized management of the neonatal jaundice risk are realized.

The invention discloses a low-power-consumption newborn sleep management system, which relates to the technical field of newborn sleep management and comprises a multi-mode sensing module, a data processing and analyzing module, an environment regulation and control module and a power management module. The system collects environment and physiological data through a low-power-consumption sensor array, analyzes the sleep state in combination with layered feature extraction and dynamic threshold judgment technologies, and optimizes the sleep environment by using a closed-loop feedback mechanism. The power management module adopts an energy recovery and dynamic power supply strategy to reduce energy consumption. According to the application, comprehensive monitoring of the sleep state of the newborn and intelligent environment optimization are realized, the problems of high power consumption and poor real-time performance of an existing system are solved, and the requirements of low power consumption and high reliability are met.

The invention relates to a neonatal respiratory distress risk assessment construction method, which comprises the following steps of: implementing non-intrusive micro-disturbance operation on a neonatal, and detecting respiratory rhythm phase drift, respiratory driving force low-frequency suppression and physiological tremor window change under disturbance so as to identify a pre-instability signal regulated and controlled by a respiratory system; collecting nerve and respiration feedback path data, analyzing the time difference between respiration instruction conduction and actual respiration starting, and identifying an abnormal decoupling phenomenon; based on multiple times of perturbation induction and feedback acquisition results, continuously monitoring the micro-adaptive recovery capability of the respiratory system of the newborn, and identifying the hidden fatigue trend of the respiratory system by judging progressive extension of respiratory frequency recovery time and gradual upward movement of respiratory power consumption; the respiratory redundancy regulation capability in the stress regulation process is monitored, premature intervention and repeated activation of an auxiliary breathing mode or a respiratory muscle group are judged, and the redundancy regulation critical compression phenomenon of a respiratory regulation system is analyzed to complete evaluation construction of the neonatal respiratory distress risk.

The invention discloses a newborn health monitoring system based on multi-modal data fusion, and belongs to the technical field of medical monitoring. According to the system, aiming at the problem of misjudgment caused by complex background interference and newborn development difference, a background perception feature decoupling enhancement network is constructed, a dual-channel architecture is matched with an adversarial loss function, foreground skin and background features are forcibly separated, and weak pathological features are enhanced in combination with a color space attention mechanism. Meanwhile, a development stage self-adaptive classification network is utilized, the gestational age serves as prior information to generate development codes, and dynamic modulation and weighted evaluation are conducted on fusion features through a premature infant and full-term infant double-branch classifier. According to the invention, the influence of environmental noise is effectively eliminated, and differentiated accurate health state recognition and risk early warning are realized.

The invention relates to a prone position adjusting bracket for newborns, which belongs to the technical field of nursing instruments and comprises a base pad, an adjusting pad, a monitoring system and an executing mechanism. The adjusting pad is slidably mounted on the base pad and comprises multiple sections of supporting parts, and the monitoring system is mounted on the adjusting pad and monitors the supporting force of each section of supporting part; the monitoring system comprises a pressure sensing unit and an attitude analysis unit, the pressure sensing unit is used for synchronously collecting pressure distribution data of each supporting surface, the attitude analysis unit is connected with the pressure sensing unit, and the attitude analysis unit constructs a three-dimensional pressure cloud picture model based on the pressure distribution data of the pressure sensing unit. Based on the three-dimensional pressure cloud picture model and a preset standard prone position biological curve, the trunk inclination angle, the limb weighing proportion and the abdomen compression peak value of the infant are solved in real time; the executing mechanism is used for receiving the adjusting amount of the posture analysis unit and driving the supporting part to adjust the supporting height, and real-time optimization of the posture of the baby is achieved through monitoring and intelligent feedback adjustment.

A method for treating or reducing a likelihood of hypoxia-ischemia induced brain damage and neurobehavioral dysfunction in neonates utilizes a relative high dose of nasally administered insulin. In one aspect, the method includes intranasally administering, to a neonate in need thereof, an effective dose of insulin comprising between 350 U to 2000 U insulin.

The invention relates to the technical field of data analysis, in particular to a newborn health data analysis system which comprises a physical sign data construction module, a trend recognition module, a weight distribution module, a nonlinear modeling module and a prediction curve output module. According to the method, the growth cycle of the newborn is subdivided into continuous stages with different physiological meanings, the change rates of the sign data between the adjacent stages are deeply calculated and compared, the dynamic trends such as acceleration, stability or slowing down of body weight and height changes can be accurately recognized, and then quantitative weights are given to the different growth trends; according to the method, the positive growth situation is more evaluated in subsequent analysis, the growth and slowdown situation is correspondingly adjusted, a nonlinear prediction model is constructed on the basis, the non-uniform-speed natural law of growth and development of the newborn can be fit, the staged trend can be dynamically fused into long-term change track prediction, and the prediction accuracy of the growth and development of the newborn is improved. And the health conditions of the newborn in different developmental window periods are disclosed.

The invention relates to the technical field of neonatal respiration monitoring, and discloses a neonatal abnormal respiration early warning system. A physiological parameter acquisition module of the system acquires physiological parameter information of a target newborn in real time, and an analysis instruction is triggered after a physiological parameter abnormal signal is obtained; the breathing mode recognition module recognizes breathing mode characteristics and analyzes the breathing mode characteristics to obtain a breathing mode evaluation result; the abnormal feature extraction module extracts abnormal breathing features and analyzes the abnormal breathing features to obtain an abnormal feature evaluation value; the early warning grade evaluation module receives the result and the evaluation value, and obtains a low-risk early warning signal and a high-risk early warning signal through evaluation; the early warning signal generation module selects an early warning type according to the received signal, and obtains parameters of sound early warning and acousto-optic early warning which should be triggered. According to the system, dynamic monitoring and graded early warning of the neonatal breathing abnormity are achieved through multi-module cooperation, and support is provided for timely intervention of the neonatal breathing abnormity.

The invention discloses a semi-supervised non-contact neonatal jaundice home intelligent early warning method based on image calibration, and the method comprises the steps: building a camera response function database, and building a color constancy depth model and a skin region segmentation network; designing a strong and weak enhancement strategy by using a large amount of label-free home data, constructing a time and context comparison learning module, and performing self-supervised training on a feature encoder; a small amount of labeled hospital data and a large amount of unlabeled family data are combined, and semi-supervised fine tuning is realized through pseudo label generation and supervised comparative learning; image sequences continuously uploaded by a user are input into the model, multi-day prediction of the bilirubin level is achieved, prediction uncertainty is quantified in combination with a Bayesian method, the risk boundary is dynamically adjusted, and personalized early warning is provided. According to the method, a user does not need to use a physical colorimetric card, color measurement errors caused by model differences of mobile equipment and variability of household illumination are inhibited from a data source, and the accuracy and robustness of subsequent jaundice assessment are improved; through a training framework combining self-supervised pre-training and semi-supervised fine tuning, the understanding ability and generalization performance of the model for the sequential characteristics of jaundice are improved.

The invention relates to the technical field of intelligent medical treatment, and discloses a neonatal wearable physical sign monitoring device which comprises a plurality of collection points used for collecting neonatal physical sign signals, and the collection points comprise PPG sensor units which are arranged at different key positions of neonatal socks and have independent monitoring functions; the PPG sensor unit transmits collected photoelectric pulse signals to the processor module for processing, the processor module carries out fusion calculation on the signals of all collection points, and the final output of the oxyhemoglobin saturation and the heart rate of the newborn is obtained by integrating the data of all the collection points; the technical problems that an existing monitoring device for monitoring newborn physiological data is poor in wearing stability and poor in monitoring result accuracy are solved.

The invention discloses an umbilical vein catheterization virtual-entity fusion training system based on a novel material, and relates to the technical field of medical simulation training. According to the system, a dynamic three-dimensional umbilical vein anatomical model is constructed through the virtual simulation unit, the entity operation unit adopts a bionic gradient material to simulate neonatal umbilical tissue, and the binding force feedback unit realizes tactile-visual dual-channel interaction. Comprising a multi-source coupling coordinate calibration algorithm, a viscoelastic layered deformation transmission algorithm and the like, and the problems of insufficient operation authenticity and feedback lagging in traditional training are solved by dynamically matching virtual and entity operation spaces and simulating real tissue mechanical response. The novel material preparation unit realizes mechanical property matching with human tissues through a nano-composite process, and the environment simulation unit can reproduce various pathological scenes. The immersion and effectiveness of operation training are remarkably improved, and the method is suitable for standardized training of medical staff in the neonatology department.

The invention discloses a newborn rare disease intelligent screening and diagnosis system based on multi-omics data fusion, relates to the technical field of medical data processing, and aims to solve the technical problems that a traditional diagnosis method is long in time consumption and low in accuracy and cannot meet the requirement for rapid and accurate diagnosis of newborn rare diseases. The data acquisition module is used for acquiring clinical omics data from a doctor's advice database through a neonatal medical record, and acquiring blood samples to acquire gene data and metabonomics data and marking when the medical record records that the neonatal suffers from a rare disease; the data processing module is used for preprocessing the clinical omics data according to the neonatal medical record to obtain a training set and a test set, and preprocessing the gene data and the metabonomics data according to the blood sample; and the diagnosis module is connected with the data processing module. By constructing a three-level modular architecture, the problem of missed diagnosis caused by traditional multi-source data isolated analysis is effectively solved, and the accuracy rate of newborn rare disease diagnosis is remarkably improved.

The invention discloses a newborn rare disease clinical feature auxiliary diagnosis system based on deep learning, relates to the technical field of medical diagnosis, and aims to solve the problem of multi-dimensional high-dimensional data feature fusion, break through the generalization ability limitation of a traditional diagnosis model, accurately capture a hidden feature combination and improve the diagnosis accuracy. The neonatal rare disease diagnosis system comprises a medical database module used for storing medical training samples and medical data of a patient to be diagnosed; the deep learning system is used for carrying out feature extraction, coding, matching and diagnosis on the medical data; the diagnosis result visualization tool comprises a visualization tool and a textualization tool. According to the method, multi-dimensional high-dimensional data are fused through the feature embedding module, the generalization limitation of a traditional diagnosis model is broken through, and hidden feature combinations are accurately captured; the training feature coding module reduces the over-fitting risk, and for complex cases of methylmalonic acidmia, the diagnosis accuracy is greatly improved compared with a traditional method.

The invention relates to the technical field of shaping and correcting instruments, and discloses a neonatal head shape correcting and shaping device which comprises a helmet, a head sleeve is fixedly connected to the inner wall of the helmet, an exhaust fan is fixedly connected to the top of the helmet, ear grooves are formed in the two sides of the helmet, ear grooves are formed in the two sides of the head sleeve, and a discharging mechanism comprises a pressing ring. The pressing ring is fixedly connected with the inner wall of the head sleeve, the two sides of the pressing ring are fixedly connected with side rings, the side rings are fixedly connected with the inner wall of the head sleeve, and the inner wall of the pressing ring is slidably connected with a cleaning rod. By arranging the discharging mechanism, airflow is input into the side ring through the cavity in the head sleeve and discharged outwards through the discharging disc in the side ring, the head of an infant is effectively cooled through the airflow, and the situations that the head of the infant sweats too much, scalp blood circulation is possibly affected, and the sleep quality is affected due to the fact that part of infants are stuffy, dysphoria and crying of the heads are avoided; according to the scheme, the technical problems in the fields of biomedical engineering industry and the like can be solved.

A computer-implemented method for predicting a cardiovascular behavior of a newborn to birth from his / her fetus physiological parameters. The method comprises obtaining physiological parameters of the fetus, obtaining a non-calibrated surrogate cardiovascular model modeling a cardiovascular system of the fetus and modelling at least one physiological change triggered by the birth, calibrating the non-calibrated surrogate cardiovascular model with a data assimilation algorithm using the obtained physiological parameters of the fetus on the non-calibrated surrogate cardiovascular model, thereby obtaining a calibrated surrogate cardiovascular model of the fetus, and predicting the cardiovascular behavior of the newborn by triggering the at least one physiological change of the calibrated surrogate cardiovascular model of the fetus, thereby obtaining a calibrated surrogate cardiovascular model of the newborn.

Methods and devices therapeutically dilate the pelvic floor of a nulliparous patient and thereby to reduce trauma and injury to patient tissue and to the neonate during labor and delivery. The methods and devices reduce the rate of ani muscle avulsion, reduce the occurrence of Cesarean procedures and reduce brachial plexus injury to the neonate. The methods and devices, in one practice, dispose an intrapartum electromechanical pelvic floor dilator into the vaginal canal and across the pelvic floor of the patient, and therapeutically expand the birth canal to pre-acclimate the tissue of the patient that is involved later stages of labor and delivery and thereby reduce injury.

The invention belongs to the technical field of pressure injury, and particularly relates to a comprehensive prevention and management system for neonatal skin injury. According to the method, the clinical data and the multi-modal physiological parameters are fused, the personalized risk threshold is generated, single risk judgment is avoided, the pertinence and accuracy of prediction are improved, data are collected only in the physiological steady-state period, noise caused by illness state fluctuation or interference factors is effectively reduced, the stability and credibility of risk parameter calculation are improved, and the risk prediction accuracy is improved. The comprehensive risk assessment process is fully automatically executed, when a score exceeds a threshold value, graded early warning and intervention pushing are instantly triggered, the response time from risk identification to intervention is greatly shortened, real-time effect verification is carried out on intervention measures through an intervention feedback module, closed-loop management of risk discovery, intervention, verification and optimization is achieved, missed alarms and invalid intervention are reduced, and the risk assessment efficiency is improved. The system automatically generates a monitoring curve and a historical trend, helps medical staff to visually judge a risk change trend, and supports long-term management and scientific research analysis.

The present application relates to the technical field of medical image processing, in particular to a pain assessment system for neonatal facial expression image analysis, comprising a data acquisition module, a facial expression manifold construction module, a curvature field analysis module, a spatiotemporal feature hierarchical analysis module and a pain assessment and alarm module, the facial expression manifold construction module maps discrete facial feature points to a Riemann manifold space to construct an individualized expression manifold model; the curvature field analysis module calculates a facial expression dynamic curvature field and extracts micro-motion curvature features; the spatiotemporal feature hierarchical analysis module performs multi-scale decomposition on the curvature features to identify pain-related micro-motion units; the pain assessment and alarm module calculates a pain score and performs early warning, the present application significantly improves micro-expression capture sensitivity, is robust to changes in shooting conditions, improves the ability to distinguish different types of pain, realizes objective quantitative assessment and multi-level early warning of the pain state of neonates, and provides reliable technical support for clinical pain management.

1. Name of the product in this design: Portable neonatal jaundice treatment device. 2. Purpose of this design: For the treatment of neonatal jaundice. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the technical field of nursing, in particular to intelligent nursing equipment for newborns. Two first air cylinders which are symmetrically arranged are rotationally connected into the movable frame. Telescopic ends of the two air cylinders are jointly connected with a transparent bed plate; the transparent bed plate is fixedly connected with an annular air bag; the moving frame is fixedly connected with a first blue light lamp set. A second blue light lamp set is fixedly connected into the movable frame. The second blue light lamp set is located below the transparent bed board. When blue light irradiation treatment is carried out, the annular air bag is expanded and becomes large and high, a newborn is surrounded, and a comfortable environment is created; the annular air bag is expanded to become large and high, the newborn is rapidly surrounded, manual operation of medical staff is not needed, the annular air bag is higher than the newborn, and the situation that the newborn climbs over the annular air bag, and the blue light irradiation treatment effect is affected is avoided.

This invention relates to the field of neonatal care technology, and more particularly to a neonatal endotracheal tube fixation device, comprising a base, two head limiting plates slidably fitted on the base, a retraction mechanism rotatably connected inside the base, an adjusting seat rotatably connected to the retraction mechanism, a top frame rotatably connected to the adjusting seat, an adjusting plate below the top frame, a buffer plate fixedly connected to one end of the adjusting plate, and an endotracheal tube fixation mechanism on one side of the buffer plate. By using a base with a mattress pressure plate, the mattress is used to fix the mattress pressure plate, so that when fixing the neonatal endotracheal tube, the endotracheal tube fixation mechanism is suspended above the neonatal head without contacting the neonatal head for fixation. This avoids the pressure problems caused by neck straps or head fixation, not only improving care efficiency but also ensuring the safety and comfort of the newborn, and contributing to the healthy development of the newborn.

The utility model relates to the field of neonatal mats, in particular to a neonatal mattress with a ventilation function, which comprises a buffer pad, a mounting hole is arranged on the buffer pad, a fan is arranged in the mounting hole, openings on two sides of the mounting hole are respectively provided with a ventilation buffer connecting pad, one side of the buffer pad is provided with a ventilation buffer supporting pad, and the ventilation buffer supporting pad is provided with a ventilation hole. The other side of the buffer cushion is recessed inwards to form a groove, and a breathable buffer back cushion is embedded in the groove. According to the newborn mattress, the fan is arranged, the breathable buffer connecting pads are arranged on the two sides of the fan, it is ensured that the fan can effectively promote air circulation, the breathable buffer connecting pads are combined with the cloth cover of the newborn mattress to form a cavity for air circulation, and therefore the air fluidity is improved; the design obviously enhances the ventilation effect.

A method of newborn screening (“NBS”) is disclosed comprising directing ultrasonic energy or ultrasonic waves into a metabolite or analyte sample derived from a newborn, neonate or infant so as to cause a mist of charged sample droplets or sample ions to be ejected. The charged sample droplets or sample ions are then mass analysed and a determination is made as to whether or not one or more first metabolites or analytes indicative of a disorder or inborn error are present in the sample.

The application discloses a neonatal intelligent monitoring bed and a vital sign abnormality dynamic identification method, and relates to the technical field of neonatal monitoring beds.The neonatal intelligent monitoring bed comprises a bed frame, a flexible mattress, a bed plate driving unit, a main control unit and a warning unit, is provided with a multi-section adjustable flexible bed plate and a multi-modal sensing unit, and is characterized in that the multi-section adjustable flexible bed plate is divided into a head section bed plate, a trunk section bed plate, a left side turning bed plate and a right side turning bed plate, each section of the bed plate can be independently adjusted in inclination, the bed plate driving unit is in transmission connection with the multi-section adjustable flexible bed plate and is used for driving each section of the bed plate to adjust the inclination.The application realizes reflux preposition prevention and control, accurately captures the precursor pathological characteristics 10-30 seconds before reflux occurs, completely changes the lag mode of the prior art that alarms only after milk overflow occurs, avoids the risk of aspiration and suffocation from the root, and fills the technical blank of pre-prevention and control of neonatal reflux.

The utility model discloses a neonatal closed enemator, and particularly relates to the technical field of medical auxiliary instruments, the neonatal closed enemator comprises an enema mechanism, the upper side of the rear end of the enema mechanism is fixedly connected with a flushing mechanism, and the lower side of the rear end of the enema mechanism is fixedly connected with a waste liquid collecting mechanism; the upper end of the inner surface of the flushing mechanism is fixedly connected with a temperature monitoring mechanism, and the rear ends of the flushing mechanism and the waste liquid collecting mechanism are jointly connected with a supporting mechanism in a clamped mode. When the neonatal closed enemator is used, a flushing bag is used for storing flushing fluid, the flushing fluid can be injected into a system through a flushing pipe and an adjusting valve seat, and a drainage anal tube is used for conveying the flushing fluid to the intestinal tract of the neonatal from the flushing bag and the flushing pipe. Meanwhile, intestinal contents are drained to the collecting tube and the waste liquid bag, liquid and excrement discharged from the drainage anal tube are collected and stored, and the temperature monitor monitors the temperature of enema liquid in the flushing bag through the monitoring probe.