57 results about "Child and adolescent" patented technology

The invention relates to the technical field of microorganisms, and particularly discloses bifidobacterium adolescentis AGE17 capable of promoting growth and development of muscles and bones and application of the bifidobacterium adolescentis AGE17. The bifidobacterium adolescentis AGE17 is separated from excrement of healthy children and is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation number is CGMCC No.33452, and the preservation date is January 17, 2025. The bifidobacterium adolescentis AGE17 has the advantages that the bifidobacterium adolescentis AGE17 can be used for preparing the biological organic fertilizer; animal experiments prove that the bifidobacterium adolescentis strain AGE17 provided by the invention has the function of promoting muscle and skeletal development, has more obvious and prominent effects compared with a model strain bifidobacterium adolescentis ATCC15703, and has important application value in increasing the muscle strength and height of children and adolescents.

The invention relates to the technical field of diagnosis markers and diagnosis methods for mental diseases of children and adolescents, in particular to a plasma metabolism diagnosis marker and diagnosis system for depression of children and adolescents. The plasma metabolism diagnosis marker comprises at least one of cyclic adenosine monophosphate, methylpyridine, unsaturated undecylenyl carnitine, histidine, prolyl hydroxyproline, tryptophan and glucuronic acid. According to the scheme, non-target metabonomics data is analyzed, and seven candidate diagnostic markers for depression of children and adolescents are screened and determined from common differential metabolites. Then, through targeted metabonomics research, diagnostic markers and combinations thereof with ideal diagnostic effects are determined, and then a diagnostic model is constructed. And a sex factor is also incorporated into the diagnosis model, so that the diagnosis effect is further improved. According to the technical scheme, the technical problem that in the prior art, reliability and popularization potential of depression plasma metabolism biomarkers of children and adolescents are not ideal can be solved, and the depression plasma metabolism biomarkers have ideal popularization and application prospects.

The present application belongs to the technical field of health monitoring and medical equipment, and provides a syncope risk assessment method for children and adolescents based on a photoelectric plethysmogram signal, comprising: constructing a personal heart rate variability coefficient fitting baseline and a personal photoelectric plethysmogram amplitude variability coefficient fitting baseline, collecting a photoelectric plethysmogram signal under a real-time state of a user, calculating and obtaining a heart rate variability coefficient and a photoelectric plethysmogram amplitude variability coefficient under the real-time state of the user according to the photoelectric plethysmogram signal under the current state of the user, and calculating and obtaining a syncope risk score of the user at present through a comprehensive evaluation model constructed based on fuzzy logic fusion.The syncope risk assessment method for children and adolescents based on the photoelectric plethysmogram signal can accurately capture changes in the physiological state of a syncope precursor of a user, realize early warning of syncope occurrence, reserve sufficient time for subsequent intervention, and thus effectively prevent or delay the occurrence of a syncope phenomenon of the user.

The invention relates to a dynamic illumination control method, system and device for myopia prevention and treatment and a medium. The method comprises the following steps: generating a multi-dimensional input vector by fusing environmental data such as geographic positions and seasonal characteristics with medical intervention parameters; based on a medical rule model, dynamically mapping the environment variables and the individual myopia characteristics into an illumination change curve conforming to the human body biological rhythm; converting the continuous curve into a sequential control instruction to drive the intelligent lamp; an execution deviation report is generated by comparing the actual illumination parameter with the target value in real time; the medical parameters are dynamically optimized in combination with user vision feedback data, and a closed-loop control mechanism is formed. According to the method, the problems of poor environmental adaptability, weak individual pertinence and lack of medical cooperation in the prior art are solved, dynamic adaptation of the illumination scheme and the natural rhythm, personalized adjustment of myopia intervention and collaborative optimization of the medical terminal and the execution terminal are realized, and the myopia prevention and control effect of children and adolescents is remarkably improved.

The present invention relates to the technical field of floor lamps, and discloses a floor lamp light-emitting module and a healthy lighting reading and writing floor lamp. The floor lamp light-emitting module includes a lamp holder, which includes a support; a lamp body; an angle adjustment mechanism, which includes a cylindrical adapter shaft, a sleeve corresponding to the adapter shaft, a first support gear and at least two second support gears; an inner gear ring is provided at one end of the sleeve, and the rest is a light hole; and a locking assembly, which has a locking block that can be extended and retracted along the radial direction of the adapter shaft, and the outer end of the locking block is structured with a latch. The light-emitting module of the present application can adjust and lock the illumination angle of the lamp body of the floor lamp, is simple to operate, has a large adjustment range, high adjustment accuracy, and high locking stability, can fully meet the lighting angle adjustment needs of children and adolescents when reading and writing, can provide sufficient illumination for the reading and writing area of ​​children and adolescents, and can effectively avoid the appearance of bright spots and dark areas in the reading and writing area, thereby helping to protect the vision health of children and adolescents.

The invention discloses an attention training method, system and device based on a brain-computer interface, and a storage medium, and belongs to the technical field of brain-computer interfaces. The attention method is carried out on the basis of electroencephalogram signal data, measured in real time through a brain-computer interface, of a trainee, movement of a training role is controlled on the basis of an attention numerical value by providing the training role, and multiple training modes such as an attention intensity training task, an execution training task, a suppression training task and a work memory training task are further provided. The method, the system, the equipment and the medium brain-computer training are high in interactivity, a multi-task training paradigm is adopted, the defects of singleness and boring in the prior art are overcome, so that the compliance of trainees is improved, the training frequency is increased, a better training effect is achieved, and ADHD patients can not only be trained in hospitals, but also can be trained in the hospitals. And training can be carried out in a home environment, so that the device is more convenient, economical and efficient. Especially for school-age children and adolescents, the training compliance of patients is greatly improved, and the falling rate in the training process is reduced.

1. Name of the product in this design: Visual Function Testing Training Instrument. 2. Purpose of this design: For visual function testing and training of children and adolescents. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present invention relates to a method, apparatus, and computer program for predicting precocious puberty for each stage of growing children and adolescents using an artificial intelligence model. The method for providing precocious puberty prediction and solution for each growth stage using artificial intelligence includes: receiving time series physical information on an evaluation subject; classifying a plurality of growth stages based on the input physical information on the evaluation subject, and then extracting physical information corresponding to a normal growth stage among the plurality of growth stages; predicting precocious puberty by inputting the extracted physical information to a trained neural network; and providing a precocious puberty management solution based on the physical information on the evaluation subject when the evaluation subject corresponds to the precocious puberty.

The invention discloses a medical aid decision-making method and system fusing multiple modes and a deep network, and relates to the technical field of intelligent medical treatment.The method comprises the steps that first data of a user is collected and analyzed, and a physiological stage is judged; and calling a sub-library corresponding to the dynamic feature library, and matching and screening out a first physiological feature with high correlation. Second data are collected, the first physiological features are fused to construct individualized feature vectors, and a feature incidence matrix is generated. Third data are collected in real time, the incidence matrix is combined, the medicine in-vivo process is simulated through a physiological pharmacokinetic model, and an individualized treatment scheme is generated. According to the invention, through the full-process design of dynamic stage determination, multi-mode association mining, real-time dose optimization and continuous evolution iteration, core pain points in early-maturing diagnosis and treatment of children and adolescents are accurately broken, and transformation from an empirical general scheme to a data-driven individualized decision is realized; safer, more accurate and more timely medical support is provided for premature individuals.

The invention discloses a multi-dimensional association analysis system for autistic child adolescent activity and behavior problems, and mainly relates to the technical field of child health behavior analysis. Comprising a data acquisition module, a data preprocessing module, a multi-dimensional association analysis module, a result visualization module and a report generation module, and is used for comprehensively analyzing the relationship between 24-hour activity modes and behavior problems of autistic children and adolescents. The system has the advantages that the limitation of traditional single-dimension analysis is broken through, three core dimensions of body movement, screen time and sleep in a 24-hour movement mode are comprehensively considered, and the complex relation between the movement and behavior problems of autistic children and adolescents can be more comprehensively revealed. The multi-dimensional analysis view angle is beneficial for deeply understanding the cause of the behavior problem, and a scientific basis is provided for formulating comprehensive intervention measures.

The application discloses a kind of child positive guidance prompt word generation method and system based on personality-emotion interaction belongs to artificial intelligence and educational technology cross technical field.Method includes: obtaining the comprehensive state vector of target child and age stage;Three-dimensional interaction tensor is constructed to obtain the interaction score of different guidance strategies;The rule prior matrix is obtained by injecting domain expert knowledge into strategy selection;Based on the comprehensive state vector, interaction score and rule prior matrix, the adaptation degree of different guidance strategies is obtained;Based on the optimal strategy combination of adaptation degree, the structured prompt word sequence is generated using conditional language model;Four-dimensional quality assessment is carried out on the structured prompt word sequence, and the optimal prompt word sequence is obtained based on the evaluation result.The application solves the problems of personality-emotion interaction modeling missing, simple strategy selection mechanism and lack of structure in the existing technology guidance process, and realizes the precise, safe and positive guidance for children and adolescents aged 6-18.

FIELD: pediatrics and pulmonology.SUBSTANCE: used to predict the risk of severe bronchial asthma in children. Anamnesis is collected, blood is taken, and the child's blood is tested in a laboratory. From the anamnesis, the duration of the disease in years and the number of exacerbations over the current 12 months in points are specified. The peak expiratory flow rate is measured using a peak flow meter, %. The concentration of connexin 43 (CX43), ng / ml, is determined in the child’s blood serum at the time of inclusion in the study. The prognosis for the risk of severe bronchial asthma in children P is calculated using the stated formula. If the P value is 0.52 or higher, a high risk of severe bronchial asthma is predicted.EFFECT: method provides the possibility of increasing the accuracy and reliability of the prognosis of the severity of bronchial asthma in children by taking into account the declared clinical symptoms and risk factors for bronchial asthma in children and adolescents of both sexes who do not have signs of a severe course of the disease at the time of examination.1 cl, 4 ex

The invention discloses a developmental-period optical intervention system for inducing myopia susceptibility. A myopia susceptibility induction device of the system is used for inducing a myopia susceptibility state under purple light exposure, and a myopia susceptibility evaluation device is used for evaluating the myopia susceptibility state. The system can develop a myopia susceptibility model capable of accurately simulating myopia pathogenesis of children and adolescents, has high scientificity and rationality, can provide powerful support for an environment intervention mechanism in the early stage of myopia pathogenesis, and provides a theoretical basis for developing a new myopia prevention and treatment scheme.

A health functional food composition having a growth-promoting effect on children and adolescents, according to exemplary embodiments of the present invention, comprises: functional ingredients including calcium, iron, selenium, a vitamin D combination preparation, zinc, manganese, a vitamin A combination preparation, and a vitamin K1 combination preparation; and other ingredients including crystalline fructose, cocoa powder, a chocolate flavor combination preparation, erythritol, a cream flavor combination preparation, fructooligosaccharide, gum arabic, and enzyme-treated stevia, wherein the weight ratio of the functional ingredients to the other ingredients may be 1:2-1:9.

The present disclosure relates to a method and apparatus for platform-based growth and dietary management support services for children and adolescents, and in particular, the method may include providing a target object with a questionnaire including a plurality of questions each related to body, diet, and exercise; obtaining answer information based on the questionnaire from the target object; inputting the answer information into a pre-trained artificial intelligence model to receive as an output goal information based on a score calculated according to a Mediterranean diet; setting at least one mission for the target object on the platform using the goal information; and monitoring whether to perform the at least one mission based on the input information when the input information for the target object is received.

The embodiment of the invention provides a traditional Chinese medicine preparation for promoting height increase of children or teenagers in the growth and development period and a preparation method of the traditional Chinese medicine preparation. The traditional Chinese medicine preparation is prepared from the following raw materials: 1-6 parts of rhizoma polygonati, 2-12 parts of radix rehmanniae recen, 1-6 parts of radix asparagi, 2-12 parts of black sesame, 5-30 parts of Chinese dates, 0.5-2.5 parts of fructus momordicae, 2-12 parts of oysters, 1-6 parts of Chinese yams, 0.5-2.5 parts of cornus officinalis, 0.5-2.5 parts of allium macrostemon, 0.5-2.5 parts of fructus alpiniae oxyphyllae, 1-6 parts of white and 2-12 parts of maltose prepared from ancient tillering method. Therefore, the medicinal and edible dual-purpose beverage with the effects of replenishing qi to invigorate the spleen, enriching yin and nourishing the kidney, boosting essence and filling marrow, and promoting splenic yang to promote growth is obtained, and the medicinal and edible and broad-spectrum product capable of promoting height increase of children or teenagers in the growth and development period in terms of congenital constitution supplement and postnatal nursing and nursing is obtained. The formula is widely suitable for children and teenagers in the growth and development period with insufficient height or dysplasia, and the sex is not known.

The invention relates to the technical field of children health, and discloses a formula for treating children adolescent spleen-deficiency damp-turbid internal accumulation type obesity, which comprises immature bitter orange, bighead atractylodes rhizome, processed pinellia ternate, dried orange peel, poria cocos, green tangerine peel, scutellaria baicalensis, coptis chinensis, fructus forsythiae, fried semen raphani, raw hawthorn and cassia seed. According to the formula for treating spleen-deficiency damp-turbid internal accumulation type obesity of children and adolescents, the medicinal materials such as rhizoma atractylodis macrocephalae, poria cocos and radix pseudostellariae in the formula have the effects of invigorating the spleen and replenishing qi, can enhance the transportation and transformation functions of the spleen and stomach and promote metabolism and discharge of water dampness, and the medicinal materials such as fructus aurantii immaturus, processed rhizoma pinelliae and pericarpium citri reticulatae can clear damp and reduce phlegm, reduce accumulation of phlegm dampness in the body and promote metabolism and discharge of dampness. The hawthorn, the cassia seed and other medicinal materials in the formula have the effect of promoting fat metabolism and can accelerate combustion and decomposition of fat in the body, and part of the medicinal materials such as fructus forsythiae, radix scutellariae and the like can adjust the endocrine system and improve the obesity problem caused by endocrine dyscrasia.

The application discloses a kind of based on wearable physiological signal children and adolescents emotional stress auxiliary regulation method, it is related to wearable physiological signal processing technical field, for the negative emotion auxiliary management of non-diagnostic, non-therapeutic purpose. The wearable physiological signal of children and adolescents and interference determination data are acquired;Determine effective emotional stress sampling window according to preset validity condition;Establish individualized baseline based on historical effective emotional stress sampling window, generate current emotional stress characterization value;When meeting auxiliary regulation trigger condition, generate auxiliary regulation prompt scheme, and send corresponding content to children use end and parent use end;According to the emotional stress characterization value after recovery, update next time auxiliary regulation prompt scheme.The application can reduce the influence of invalid continuous sampling segment on characterization result, improve the matching accuracy of prompt content and actual negative emotional stress state.

The present invention discloses a method and system for early warning of myopia in children and adolescents, which relates to the field of health monitoring technology, including real-time collection of bioelectric signal data and environmental sensor data; combining a convolutional neural network with a recurrent neural network to extract features from the collected bioelectric signal data, identify fatigue signals and fatigue levels, and evaluate the current visual fatigue state of children and adolescents, outputting a fatigue score; real-time monitoring of the fatigue scores of children and adolescents, and automatically triggering a warning signal when the fatigue score exceeds a myopia warning threshold, and generating prompts and vision protection suggestions for the current myopia risk of children and adolescents. By combining the present invention with environmental data, it can automatically adjust environmental conditions in combination with smart devices when monitoring fatigue scores in real time, optimize children's learning and living environments, and further reduce the risk of myopia.

This invention relates to a visual training method for myopia prevention and control in children and adolescents, comprising: classifying individual data based on specific age groups and refractive characteristics, analyzing stimulus intensity distribution and dynamic contrast adjustment features, calculating if the visual stimulus baseline value is lower than a preset threshold, changing the pixel value change pattern to generate a first optimized image, smoothing edge features, increasing edge response intensity if the edge intensity does not meet the perceptual matching accuracy requirements to obtain a second optimized image, analyzing stimulus duration and visual feedback frequency, determining if the signal distribution is uneven, adjusting the image to generate a third optimized image, generating a visual stimulus sequence, iteratively comparing the perceptual matching accuracy of the sequence with the perceptual parameter set, determining the final suitable training image sequence, and finally outputting customized training content that reaches the neural activation threshold through activation rate calculation and response intensity mapping.

The invention discloses a big language model safety assessment method and device for children of different age groups. In order to solve the problem that an existing large language model security assessment framework mainly aims at adult users and neglects the development vulnerability of juveniles, the invention provides a child-centered assessment normal form, and aims to systematically assess the security and ethics of a large language model in a child application scene. An extensible tool with a development basis is provided for development and deployment of a large language model, and the method is particularly suitable for application facing children and teenagers and aims at promoting the AI technology to develop in a safer and more ethical direction.

This system and method provides a safe connection between children and young people who need support for social independence, such as those with experience in social care, and their supporters, and enables the maintenance of that connection and the continuation of support even after they leave child welfare services. [Solution] A support system 1 for users who require social independence support, comprising: electronic information terminals 2 and 5 operated by users 6 and 9 who require support, electronic information terminals 3 and 4 operated by users 7 and 8 who provide support, and an information transmission means, which is executed by an application, for transmitting information within a group consisting of one or more members selected from users who require support and one or more members selected from users who provide support, wherein the information transmission means has a member editing function that allows only users who are users who have predetermined authority to edit the members that make up the group.

According to the oral liquid preparation and the preparation method thereof provided by the invention, the defects of the existing perilla-Huang cough-relieving capsules in the aspect of taking medicines for children and adolescent patients are overcome, the oral liquid preparation has the characteristics of convenience in administration, safety, effectiveness, better preparation stability and the like, the taking compliance of children and the clarity of the oral liquid preparation are improved, and the whole preparation method is simple and easy to implement. The method is suitable for industrial mass production.

The invention discloses application of dexmedetomidine in preparation of a medicine for treating pressure-induced multi-system related diseases of children and adolescents. Aiming at the physiological characteristic that children and adolescents are highly susceptible to pressure due to immature prefrontal cortex, the invention provides that dexmedetomidine can improve the mitochondrial function by regulating the prefrontal cortex GR mitochondrial translocation of the children and adolescents for the first time; therefore, dexmedetomidine is applied to preparation of the medicine for treating the pressure-induced multi-system related diseases of children and adolescents, and a new target is provided for research and development of medicines for depression or other pressure related diseases of children and adolescents which are highly sensitive to pressure. In addition, dexmedetomidine has good safety, and the pain points that existing drugs are insufficient in safety, neglect in growth and development requirements and poor in treatment effect in multi-system related disease people induced by pressure of children and teenagers are solved.

The application relates to the field of data intelligence, and particularly discloses an intervention effect evaluation system and method for overweight and obese children based on data intelligence. By using artificial intelligence technology based on deep learning and neural networks, the system and method can deeply mine the correlation features of body index data of the overweight and obese children before and after intervention, and high-dimensional hidden features of exercise scheme data and diet scheme data in the intervention scheme, so that the effect of the intervention scheme for the overweight and obese children can be accurately and publicly evaluated on the basis of getting rid of the limitations and finiteness of human cognition. In this way, the problem of overweight and obesity of children and adolescents can be solved.

1. Name of the designed product: packing box (Jiananxier children and teenagers liquid amino acid calcium magnesium zinc). 2. Use of the designed product: used for the outer packing of products. 3. Design points of the designed product: the combination of shape and pattern. 4. Picture or photo best indicating the design points: perspective view.

1. The name of the design product: science picture book (nutrition balance). 2. The use of the design product: for children and adolescents obesity and nutrition science picture book. 3. The design points of the design product: in the combination of patterns and colors. 4. The picture or photo that best indicates the design points: perspective drawing. 5. The design contains colors.

1. The name of the design product: nose pad (children and adolescents glasses Europe version). 2. The use of the design product: replaceable, detachable nose pad for built-in sensor of glasses. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. The right view is symmetrical with the left view, and the right view is omitted.

The invention relates to a multi-dimensional evaluation-based online motion intervention method for foot spine deformity of children and teenagers. The method comprises the following steps: acquiring three-dimensional foot data of children and adolescents, performing feature extraction and fusion operation on the data to obtain a foot fusion feature value, and performing violent matching based on the foot fusion feature value so as to obtain a corresponding feature parameter combination. And inputting the characteristic parameter combination into a trained foot evaluation model, and evaluating the foot spine condition of the children and adolescents to obtain a foot spine condition evaluation result. Then, a time sequence prediction model is constructed according to the time sequence prediction model, and a motion intervention scheme is generated. Based on the scheme, the correction effect of the plantar orthosis is evaluated by applying a multi-objective optimization algorithm, and design parameters of the orthosis are determined. And finally, according to the updated foot three-dimensional data and orthosis design parameters, optimizing and adjusting the exercise intervention scheme to obtain an updated exercise intervention scheme. The scientificity, accuracy and effectiveness of evaluation and intervention of the foot spine deformity of children and adolescents are greatly improved.