2072 results about "Full Term Infant" patented technology

A system to transport infant children is provided. The system includes a base configured to be secured to a portion of an automobile; a chassis independent from the base; a first release mechanism releasably coupling the chassis to the base; an infant car seat independent from the base and the chassis; a second release mechanism releasably coupling the infant car seat to the chassis; wherein the chassis and the infant car seat are releasable from the base as a combined unit upon operation of the first release mechanism; and wherein the infant car seat is releasable from the combined unit of the base and chassis upon operation of the second release mechanism.

A wraparound carrier device for babies or toddlers includes a carrier part. An inner side of the carrier part can be brought into contact with a back or stomach of a baby or toddler being carried. A waist belt is attached to at least a central region of a lower edge of the carrier part, and is guided with an inner side in a waist or hip region of a carrying person around their stomach and back. Two shoulder straps are provided, one end of each of which is attached to the carrier part at an upper edge thereof. An anchor point of a second end of each shoulder strap is attachable to the waist belt or to a side edge of the carrier part The position of the anchor point on the waist belt or the side edge of the carrier part is adjustable.

A convertible highchair is described that includes a bucket seat with a contoured backrest and an adjustable harness to securely and comfortably hold an infant in place while eating or performing various activities. The bucket seat, acting as an infant seat, is also removable to accommodate infants of different sizes and ages. For instance, the bucket seat can be removed to transition the highchair from use as a baby feeding chair to use as a toddler feeding chair, where a toddler seat is height adjustable. The highchair also features a removable tray that is adjustable in distance from the infant to allow for easy access to food and drinks. The tray can also be equipped with a spill-resistant lip to prevent food and drinks from spilling onto the infant's lap or the floor. The highchair also includes a sturdy base with legs that ensure stability on various surfaces.

Methods, systems and apparatuses for infant and child monitoring, for changing pads, and for tracking heath. One system is an intelligent changing pad system for infants and children that includes a main body with a changing surface, a scale integrated within the changing surface for measuring weight, a plurality of sensors configured to monitor health-related metrics of a human including temperature and hydration levels, a graphical user interface for displaying the human's health metrics and alerts, and a wireless communication system for transmitting the monitored data to a remote computing device.

The invention discloses an intelligent monitoring system and method for nursing infants, and the method comprises the following steps: S1, collecting continuous frames of infrared images, carrying out the preprocessing, and extracting feature vectors; s2, constructing a classification model for identifying infant micro-motion types, and training the classification model to ensure accurate identification of the classification model; s3, acquiring a real-time infrared monitoring video image of the infant, performing similarity analysis on continuous frames, judging the range of the continuous frames of the micro-action, and extracting continuous frame images; and S4, feature vectors are extracted from the extracted continuous frame images, the type of the infant micro-motion is identified, and user side reminding and analysis are carried out. Aiming at low-light environment and micro-motion detection in baby nursing, through combination of infrared imaging and optical flow feature extraction and fusion of a perceptual hash array and a Hamming distance, real-time and reliable baby state monitoring service is provided for parents or caregivers, and the safety and convenience of baby nursing are enhanced.

The invention discloses an infant posture intelligent detection and early warning monitoring system which is characterized in that the system comprises an information terminal, a processing side end and a display terminal, and the information terminal comprises a camera and monitors the posture and state of an infant in real time; images and posture information acquired by the camera are transmitted to the processing side end through wireless signals to be analyzed and processed; the processing side end comprises a small computing device with an AI function and a server with an AI processing capability; the small computing device performs preliminary data processing, and then sends the processed data or unprocessed original data to a server with stronger AI processing capability for further analysis; the server analyzes the posture data of the baby through a deep learning algorithm, detects abnormal postures and makes early warning judgment, and an analysis result is transmitted to the display terminal through a wireless signal; the display terminal comprises a plurality of display devices. According to the invention, intelligent detection and real-time early warning of baby postures can be realized, and the stability is good.

In some countries, it is a legal requirement for babies, infants and children under a certain age and / or height to be provided with a supplemental car seat when travelling in a vehicle. It is desirable to improve the cornering comfort and vehicle collision, particularly side impact, characteristics of the child car seat. The present disclosure provides an infant car seat system comprising: a docking module configured to be securable to a vehicle seat; an infant carrier module configured to receive an infant therein, the infant car seat system configured such that the infant carrier module is rotatable within the docking module about a rotation axis; and a rotation stop selectively operable to restrict rotation of the infant carrier module relative to the docking module about the rotation axis; wherein the rotation stop is compressible in a direction of rotation about the rotation axis.

Infant swaddling allows an infant to be comfortably and easily swaddled. The swaddling includes a pouch featuring a lower end that can be opened and closed to allow an infant's soiled diaper to be easily removed and replaced or to take a rectal temperature. The swaddling can include a blanket that comprises a first blanket flap and a second blanket flap and that can be removably attached to the pouch. The swaddle is used by placing one of the blanket flaps over the pouch, and then placing the other blanket flap over the pouch.

A wearable blanket assembly that includes a piece of fabric attached to a body suit and a method of wrapping an infant in the wearable blanket assembly. In particular, a customizable wearable blanket assembly and method of using the same.

The invention relates to the technical field of intelligent health monitoring, in particular to a medical health information management method and system for a patient user. A medical health information management method for a patient user comprises the following steps: S1, obtaining first postoperative body data of a mother and an infant, and obtaining a first risk score value of the mother by using a first health risk scoring formula according to the first postoperative body data; s2, obtaining second postoperative body data of the mother and the infant, and obtaining a second risk score value of the infant by using a second health risk scoring formula according to the second postoperative body data; and S3, according to the first risk score value or the second risk score value, adjusting the reexamination frequency of the mother and the infant. Through the first health risk scoring formula and the second health risk scoring formula, the health data of the mothers and the infants are quantitatively evaluated, and potential health risks are found in time.

The invention discloses plant lactobacillus WH021 and application thereof in preventing and / or relieving neuroinflammation, and belongs to the technical field of microorganisms. The plant lactobacillus WH021 is separated and purified from excrement of healthy babies, is a probiotic with the function of relieving neuroinflammation, and has good application potential in development of food, health care products and drugs for preventing brain inflammation related diseases caused by chronic inflammation of bodies of middle-aged and elderly people.

The invention discloses a maternal and infant product dynamic recommendation method and system based on user behaviors, and the method comprises the following steps: collecting the multi-dimensional behavior data of a user in real time at a client, carrying out the cleaning and feature extraction, and carrying out the structural storage; dynamically establishing and correcting the life cycle state of the user according to the expected date of delivery or the birth date of the infant input by the user; weighting the behavior data according to a time interval, a type and a scene label, and calculating a behavior feature weight; generating a behavior vector based on the weight, and screening similar users in combination with a stage synchronism regulation factor; and integrating the historical purchase behaviors of the similar users and the behaviors of the target users, calculating recommendation scores of the products, and sequencing to generate a personalized recommendation list. According to the method, dynamic modeling can be carried out based on the multi-dimensional behaviors and the life cycle of the user, stage accurate recommendation and real-time personalized pushing of mother and baby products are achieved, and therefore recommendation relevance and user experience are remarkably improved.

To make an electronic device take an appropriate action in response to an action of a user.SOLUTION: An action control system disclosed herein comprises an input unit for receiving user input including information on date of birth and an area of residence of a particular infant, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to an input sentence, and an output unit configured to control an action of an electronic device to output a result of the specific processing, where the specific processing comprises suggesting meal recipes for the infant. The processing unit determines whether a predetermined trigger condition is met or not and, when affirmative, suggests meal recipes for the infant using an output of the sentence generation model that uses information obtained from the user input as the input sentence.SELECTED DRAWING: Figure 2

A system to transport infant children is provided. The system includes a base, a chassis releasably coupled to the base, and an infant car seat releasably coupled to the combination of the chassis and the base. The infant car seat having a first handle operable in a first function to release the infant car seat from the combination of the chassis and the base. The chassis comprises a frame; a pair of rear legs pivotally coupled to the frame at a rear leg pivoting axis; and a pair of front legs, each front leg pivotally coupled to a respective rear leg at a front leg pivoting axis, wherein the rear legs and the front legs are retracted and proximate the frame in a first transport condition, and wherein the rear legs and the front legs are deployable away from the frame to a second transport condition.

The present application provides a synthetic nutritional composition comprising a milk fat globule membrane (MFGM) in the range of from about 10 [mu] g / 100 kcal to about 1500 mg / 100 kcal for use in improving neurological development in a pediatric subject. During a first year of life, a synthetic nutritional composition is administered to the pediatric subject for at least three months, and the administration of the synthetic nutritional composition improves neural development of the pediatric subject starting from at least two years old.

In some countries, it is a legal requirement for babies, infants and children under a certain age and / or height to be provided with a supplemental car seat when travelling in a vehicle. It is desirable to improve the cornering comfort and vehicle collision, particularly side impact, characteristics of the child car seat. The present disclosure provides an infant car seat system (100) comprising: a docking module (300) configured to be securable to a vehicle seat; an infant carrier module (200) configured to receive an infant therein, the infant car seat system (100) configured such that the infant carrier module (200) is rotatable within the docking module (300) about a rotation axis (410); and a rotation stop (380) selectively operable to restrict rotation of the infant carrier module (200) relative to the docking module (300) about the rotation axis (410); wherein the rotation stop (380) is compressible in a direction of rotation about the rotation axis (410).

An infant monitoring device is disclosed having a band or sock configured to wrap around the foot or other portion of an infant. The sock houses a removable sensing module configured to couple to the sock and measure health parameters of the infant. The sensing module is removably couplable with a base station that charges the sensing module. The sensing module transmits and receives information from the base station. Both the base station and the sensing module can transmit and receive information from a remote location.

The present invention relates to a combination of a mixture of galactooligosaccharides (GOS) and human milk oligosaccharides (HMO), or a nutritional composition comprising such a combination. The combination or composition is useful for the treatment and / or prevention of stress and / or mood disorders in infants, toddlers and / or children. The mixture of HMO consists of or consists essentially of 2 '-fucosyllactose (2' FL) and difucosyllactose (DFL) or lactose-N-tetrasaccharide (LNT) and 6 '-sialyllactose (6' SL). The invention also relates to the use of a combination of a mixture of galactooligosaccharides (GOS) and human milk oligosaccharides (HMO) or a composition comprising such a combination for the treatment and / or prevention of stress and / or mood disorders in infants, toddlers and / or children, wherein the mixture of HMO consists of or consists essentially of 2 '-fucosyllactose (2' FL) and difucosyllactose (DFL) or lactose-N-tetrasaccharide (LNT) and 6 '-sialyllactose (6' SL).

The invention provides a breast milk feeding amount intelligent calculation and dynamic adjustment method and system, and relates to the technical field of intelligent feeding, and the method comprises the steps: collecting real-time physiological parameters of an infant, constructing an infant digital model through a multi-scale morphological neural network, calculating a basic energy consumption value through combining with a biological rhythm prediction model, and calculating the feeding amount of the infant. The standard breast milk feeding amount is calculated through the self-adaptive fuzzy neural network; the method comprises the following steps: collecting mother physiological state data and breast milk component data, calculating a breast milk nutrition density coefficient by using a deep mixing cognitive network and an immune evolution self-organizing network, correcting a breast milk reference feeding amount, and finally calculating an actual breast milk feeding amount through a self-adaptive resonance theory network; growth and development data of an infant after breast milk intake are collected, a multi-layer spiral pulse neural network is used for extracting development feature vectors, a development deviation value is calculated based on a fractal dynamics model, network parameters are dynamically adjusted through a biological group intelligent optimization system, and dynamic optimization of breast milk feeding amount is achieved.

A wraparound carrier device for babies or toddlers includes a carrier part. An inner side of the carrier part can be brought into contact with a back or stomach of a baby or toddler being carried. A waist belt is attached to at least a central region of a lower edge of the carrier part, and is guided with an inner side in a waist or hip region of a carrying person around their stomach and back. Two shoulder straps are provided, one end of each of which is attached to the carrier part at an upper edge thereof. An anchor point of a second end of each shoulder strap is attachable to the waist belt or to a side edge of the carrier part The position of the anchor point on the waist belt or the side edge of the carrier part is adjustable.

Use of human milk oligosaccharides (HMOs) or nutritional compositions comprising human milk oligosaccharides for enhancing executive function in non-infants, preventing and / or reducing the risk of suboptimal executive function in non-infants, managing suboptimal executive function in non-infants, and / or improving myelination to mature the prefrontal cortex region of the brain in non-infants, and the use of synthetic compositions of HMOs and encapsulated products comprising at least 14 individual daily doses of an effective amount of at least one HMO in such applications.

The invention relates to the technical field of medical care, in particular to a pediatric care quality evaluation method based on multi-modal data interaction. The method comprises the steps of multi-modal data acquisition, data preprocessing, nursing behavior feature analysis, infant state evaluation, and nursing quality scoring and feedback. According to the scheme, the multi-source heterogeneous data in the nursing process is collected, the ResNet50 model, the Glove model and the Mel-frequency cepstral coefficient are used for preprocessing and feature extraction of the multi-modal data of the image, the audio and the text, and the integrity and the analysis efficiency of feature fusion are improved; according to the scheme, a multi-granularity feature interactive fusion method is adopted, key features in the nursing process are extracted and fused from multiple dimensions, and the nursing behavior features and the infant state features are comprehensively obtained, so that the accuracy and the intelligent level of nursing quality evaluation are remarkably improved, and real-time monitoring and scientific feedback support of the nursing process are achieved.

The invention belongs to the technical field of microorganisms and fermentation engineering, and particularly relates to application of bifidobacterium longum subsp. Infantis Y46 in the anti-aging aspect. The bifidobacterium longum subsp. Infantis Y46 is obtained from excrement of infants. Animal experiments prove that living cell thalli (Y46) and thermally inactivated cell thalli (HKY46) obtained by culturing the bifidobacterium longum subsp. Infantis Y46 by using an MRS liquid culture medium containing L-cysteine hydrochloride (0.05%, v / v) can significantly reduce accumulation of lipofuscin in a host, and prolong the healthy life and life of the host. Therefore, the bifidobacterium longum subsp. Infantis Y46 is a promising probiotic and a promising metagen with an anti-aging function.

The present invention provides a method and system for classifying infant behavior characteristics based on deep learning, including: Step 1: Produce an infant video dataset, and classify and annotate time segments for the videos in the dataset; Step 2: Produce an infant key point dataset; Step 3: Preprocess the human key points of the infant video dataset; Step 4: Use a deep learning model to build an infant behavior classification model, send the human key point features of the infant video dataset into the infant behavior classification model, calculate the classification probability output by the model, the total loss between the output time segment and the label, and use the total loss for backpropagation to update the model parameters. After the model parameters converge, the training is completed; Step 5: Judge whether there is a dyskinesia in the video according to the classification probability of the classification branch, and obtain the time segment when there is a dyskinesia in the video. The present invention can detect whether an infant lacks dyskinesia and relieve the burden on doctors of having to watch infant movement videos for a long time.

The utility model discloses a simple crib, relates to the technical field of cribs, solves the problem that the existing crib mattress cannot meet the requirement of multi-scene use due to structural limitation, and comprises a U-shaped guardrail and a cushion block, a lying area for a baby to lie flat is formed on the inner side of the guardrail, and the cushion block is arranged in the lying area. The cushion block is a flat cushion, the cushion block is arranged in the lying area and is detachably connected with the guardrail through a first connecting piece, the shape of the outer contour of the cushion block is matched with the shape of the lying area, and the two ends of the guardrail are detachably connected through a second connecting piece and surround the cushion block in the middle. The cushion blocks and the guardrails are detachable, the guardrails and the cushion blocks can be conveniently cleaned in the later period, the guardrails can be taken out to be independently used and placed on a baby crib, a baby lies in the middle of the guardrails, the baby can be helped to learn to raise the head or sit, meanwhile, the baby can be prevented from turning out of the crib, and the protection effect is achieved.

A sleep system for a baby includes multiple sensors to sense environmental conditions and physiological parameters of the baby. The sensors are located beneath the baby's resting position and lateral to the baby's torso. The system includes a computer processor with a neural network trained to provide caregivers with personalized sleep improvement recommendations. These are delivered via a bi-directional graphical user interface that allows caregivers to provide feedback. The system employs federated learning for enhanced data security and continuous algorithm improvement based on aggregated data from a network of devices. Dual API architecture enables secure on-device data processing and the transmission of encrypted data to third-party developers, fostering an open ecosystem for innovation in infant care.

An infant walker apparatus for moving automatically across a floor surface includes a housing and a seat mounted to the housing. The seat is positioned and configured to hold an infant such that the infant's legs contact a floor surface upon which the apparatus is placed during normal use. A drive system is mounted to the housing and is configured to drive the housing across the floor surface. A processor is mounted in the housing and is operatively coupled to the drive system. A plurality of sensors is mounted to the housing and is configured to cause the drive system to move the housing across the floor surface according to navigation data received from the sensors.

The invention discloses a baby crying classification method based on baby facial feature extraction, which realizes intelligent classification of baby crying reasons by introducing a multi-scale information fusion network (MIFNet) to extract and classify baby facial features. The method comprises the following steps: firstly, extracting local features and global features of a baby face in parallel through a CNN branch and a self-attention branch; secondly, fusing the features by using a spatial global attention module and a channel attention module; and finally, performing feature classification by combining adaptive depth center loss with SoftMax loss, thereby obtaining different crying types of the baby, including but not limited to hunger, restlessness, anthenia, pain, discomfort and the like. Through the method, different types of crying of the baby can be accurately classified and identified, and parents or nursing personnel can timely know and meet the requirements of the baby. Compared with the prior art, the method has high classification accuracy and real-time performance through facial feature extraction and a deep learning algorithm.