9 results about "Pediatric asthma" patented technology

The invention relates to a risk assessment method and system for acute attack of asthma in children. The method comprises the following steps: acquiring multi-modal data of a target child and preprocessing; extracting specified features to form basic feature vectors, adjusting dynamic feature weights in combination with individual differences of children and real-time scenes, generating weighted feature vectors, fusing the weighted feature vectors into recent medication compliance to obtain fused feature vectors, and obtaining the acute attack probability of asthma in a specified time period in the future. Pushing a conventional nursing scheme or an emergency intervention scheme according to the comparison between the probability and a first threshold value and a second threshold value, and if the threshold value is not reached, inputting the fusion feature vector into an XGBoost model to output a preliminary risk level and calibrating the preliminary risk level; and generating a dynamic intervention scheme. Through accurate integration of multi-modal data, adaptation of individuals and scenes by dynamic weights and combination of hierarchical model prediction and individual historical calibration, the accuracy and personalization of risk assessment are remarkably improved, deep adaptation of an assessment result and an intervention scheme is realized, and the problems of missed judgment, misjudgment rate and insufficient or excessive intervention of acute attack of children asthma are effectively reduced.

The invention provides a multi-modal data fusion intelligent children asthma prediction system, which comprises a data acquisition and preprocessing unit, a feature extraction unit, a data fusion and intelligent prediction unit and a decision and feedback unit, and is characterized in that the data acquisition and preprocessing unit is used for acquiring multi-modal physiological signal data; the feature extraction unit is used for extracting features of the multi-modal physiological signals; the data fusion and intelligent identification unit is used for carrying out feature fusion on the extracted multi-modal physiological signal data; the decision and feedback unit is used for comprehensive judgment and dynamic feedback adjustment; in the dynamic feedback and self-adaptive adjustment part, a correction coefficient and the weight of the model are adjusted according to real-time data, so that the prediction probability is more accurate. The system effectively overcomes the problem that the existing system depends on a single data source or medical staff depends on subjective evaluation.

The invention discloses an AI-based intelligent monitoring and reminding system and method for medicine inhaled for children asthma, and relates to the technical field of intelligent medical monitoring and AI application, the system comprises the following components: an intelligent monitoring terminal, an AI analysis platform, a multi-terminal reminding module and a medical cooperation terminal; through the intelligent monitoring terminal integrated on the asthma inhalation medicine container, various operation data and environment data in the medicine taking process of children can be accurately collected in real time, and the data are deeply processed and analyzed through the AI analysis platform; the system can accurately evaluate the medication operation standardization, the actual inhalation dose deviation and the medication compliance level of children, the system sends out a prompt signal at the preset medication time through the multi-terminal reminding module, and immediately sends out a warning signal when the operation is not standard, the dose is out of tolerance or the health risk exceeds the standard, so that the medication compliance of the children is effectively improved, and the medication compliance of the children is improved. And the medicine can be correctly inhaled on time according to the quantity, so that the treatment effect is improved.

The invention discloses a respiratory nursing training device for children asthma, which relates to the technical field of medical instruments and comprises an outer shell, an inspiration control mechanism, a respirator, a connecting pipe, an inner cavity, an expiration control mechanism, an expiration cavity, an expiration adjusting mechanism, a first transparent cover plate, an inspiration adjusting mechanism, a second transparent cover plate, an inspiration cavity and a filter. The respirator has the advantages of being reasonable and simple in structure, low in production cost and convenient to install, and the respirator is tightly connected with the connecting pipe and the inner cavity, so that the air tightness during use is guaranteed; the breathing process can be accurately controlled, during inspiration, the inspiration control mechanism ensures that a child can only inhale air from the inspiration cavity, the inspiration adjusting mechanism can adjust the inspiration resistance by rotating an adjusting head and utilizing cooperation of a screw and a movable block according to actual requirements, filtered fresh air can be supplemented after inspiration is completed, and the breathing effect of the child is improved. The through hole in the guide hole is beneficial to adjusting the airflow pressure of the air suction cavity, and meanwhile the counting switch can record the number of air suction actions.

The present invention provides compositions and related methods for treating interleukin-5 (IL-5) mediated diseases in children. [Solution] A method for treating a disease in a child, comprising the steps of: a) identifying a child weighing less than 40 kg who has a disease selected from the group consisting of asthma, mild asthma, moderate asthma, severe asthma, mild eosinophilic asthma, moderate eosinophilic asthma, severe eosinophilic asthma, poorly controlled eosinophilic asthma, etc.; and b) subcutaneously administering a therapeutically effective dose of mepolizumab to the child, wherein the therapeutically effective dose of the antibody results in a maximum plasma concentration (Cmax) of antibody of approximately 10.1960 ± 0.3345 μg / mL and an area under the curve [0-infinity] value of approximately 454.39 ± 15.8876 μg* / mL, thereby treating the disease in the child.

The utility model relates to the technical field of pediatric asthma moxibustion, and particularly discloses a combined suspended moxibustion cylinder which comprises a cylinder body, a cylinder top is rotatably installed on the outer surface of one end of the cylinder body, a connecting rotating piece is installed on the outer surface of the side, away from the cylinder top, of the cylinder body in a threaded mode, and an installation base is fixedly installed in the cylinder bottom. A cigarette ash storage mechanism is arranged between the cylinder bottom and the connecting rotary part, and cigarette ash falling during moxibustion can be guided through the cigarette ash storage mechanism without affecting subsequent use. According to the combined type suspended moxibustion cylinder, when moxa sticks are burnt, moxa ash can fall on the outer surface of the breathable net, the moxa ash can roll into the ash storage groove to be stored through the inclined face of the breathable net, the moxa ash cannot be left on the outer surface of the breathable net to cause blockage, and the situation that air circulation is not smooth due to the fact that the breathable net is blocked by the moxa ash is reduced; and the barrel body and the connecting rotating piece can be conveniently opened, so that moxa ash can be conveniently poured out and cleaned, and the moxibustion effect cannot be influenced.

The invention relates to the technical field of electric digital data processing, and discloses a children asthma airway response intelligent monitoring and health management system, which comprises a multi-source data synchronization module used for acquiring physiological monitoring data streams and corresponding geographic position data and mapping the physiological monitoring data streams and the corresponding geographic position data to a unified time axis; the regional common-mode noise suppression module is used for calculating a regional background noise vector of the same-domain node set; the dynamic baseline evolution module is used for executing local weighted regression operation to extract low-frequency growth trend components and generating a basic reference baseline of linear projection; and the specific vector difference module is used for calculating the orthogonality distance between the real-time deviation vector and the regional background noise vector and generating a specific abnormal state signal. The problems of monitoring reference lag and high false alarm rate under the conditions of data sparsity and strong environmental noise in the prior art are solved, and high-precision anomaly detection of the non-stationary physiological time series data is realized.

The present application relates to a kind of children asthma acute attack risk assessment method and system, obtain the multimodal data of target children and pre-process;Extract specified feature to form basic feature vector, combine the individual difference of children with real-time scene adjustment dynamic feature weight, generate weighted feature vector after fusion recent medication compliance, obtain fusion feature vector, obtain asthma acute attack probability in future specified time period, according to the comparison of probability and first, second threshold value push conventional nursing scheme or emergency intervention scheme, not reach threshold value then fusion feature vector is input XGBoost model and outputs preliminary risk grade and calibration;Generate dynamic intervention scheme.Through multimodal data accurate integration, dynamic weight adaptation individual and scene, hierarchical model prediction combines individual history calibration, significantly improve the accuracy and individualization of risk assessment, simultaneously realize the deep adaptation of evaluation result and intervention scheme, effectively reduce the misjudgment rate and intervention insufficient or excessive problem of children asthma acute attack misjudgment.

The invention belongs to the technical field of medical instruments, and discloses a special gasification traditional Chinese medicine nursing device for children asthma, which comprises an atomization bin, a buffer bin, a breathing part and a mask, a medicine storage bin is arranged on one side of the atomization bin, the atomization bin and the medicine storage bin are communicated through a liquid medicine conveying channel, and an atomization assembly is arranged in the atomization bin; the bottom of the buffer bin is connected with the atomization bin, the top of the buffer bin is connected with the breathing part and provided with an air pipe, and the top face of the tail end of the air pipe is provided with a flexible film and a plurality of through holes; a main airflow channel and an auxiliary airflow channel are formed in the breathing part, the air pipe communicates with a throat in the middle of the auxiliary airflow channel, an elastic membrane is arranged at the tail end of the auxiliary airflow channel, and the breathing part is connected with the mask. Atomized medicine is temporarily stored through a temporary storage bin, main and auxiliary airflow channels, an air pipe, a flexible film and an elastic membrane are matched, breathing synchronous medicine feeding of inspiration medicine feeding and expiration medicine storage is achieved, and medicine waste is reduced; all parts are simple in structure, stable, reliable, high in adaptability and convenient to clean.