6 results about "Asthma attack" 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.

This application discloses a wearable device and method integrating asthma attack monitoring and automated drug delivery. The method includes: acquiring a user's real-time multimodal biosignal vector stream; constructing a personalized steady-state feature signature for the user, the personalized steady-state feature signature being used to characterize the user's healthy physiological baseline; determining a steady-state perturbation scalar in real-time, characterizing the degree of deviation between the current physiological state and the healthy physiological baseline; generating a quantified asthma attack risk index based on the steady-state perturbation scalar through an asynchronous risk escalation engine; and when the asthma attack risk index meets preset intervention triggering conditions, determining that a coherence desynchronization event has occurred, and controlling a miniaturized injection actuator within the wearable device to perform automated drug delivery. This application, by constructing a physiological state phase-locked loop model, achieves adaptive monitoring and closed-loop automated intervention for asthma attacks, improving emergency response speed and monitoring specificity.

The invention provides a wearable wireless stethoscope early warning device for monitoring acute attack of an asthma patient, the wearable wireless stethoscope early warning device comprises a vest, a first binding belt and a second binding belt, the first binding belt and the second binding belt are arranged on two sides of the vest, two adjusting belts are arranged above the vest, and the two adjusting belts are connected with the vest; a miniature sound signal sensor, a miniature lung sound discriminator and a signal microprocessor are arranged in the vest, the miniature sound signal sensor is used for collecting breathing sound signals, and the miniature lung sound discriminator is used for recognizing dry rale, wet rale and normal breathing sound. The breathing sound of an asthma patient, especially a child patient, is monitored in real time, abnormal breathing sound characteristics are accurately recognized, timely early warning of acute attack is achieved, by means of wireless transmission and a remote diagnosis technology, a doctor can remotely obtain illness state information of the patient, timely diagnosis and treatment guidance is provided for the patient, and the patient experience is improved. The risk caused by acute attack of asthma is reduced, and the health management level of patients is improved.

1. Name of the designed product: Inhaler for children with asthma (Tufannex). 2. Use of the designed product: Inhaler for asthma attack. 3. Design points of the designed product: Shape. 4. Picture or photo best indicating the design points: Perspective view.

The invention provides an application of a TDP-43 inhibitor in preparation of a medicine for preventing and / or treating asthma or a medicine for treating influenza A infection. The effect of the TDP-43 in prevention or improvement of asthma and influenza A virus infection is found for the first time, and experiments verify that inhibition of TDP-43 expression not only can significantly relieve symptoms of asthma, but also can resist influenza A virus infection during asthma attack, has a very good asthma disease treatment potential, and can be used for preparing medicines for preventing or improving asthma and influenza A virus infection. And a new effective treatment scheme is expected to be provided for asthma and acute attack of asthma complicated by asthma and respiratory virus infection.

The invention discloses an asthma condition grading prediction method combining monitoring data and molecular markers. The method comprises the following steps: step 1, obtaining a plurality of types of sample data; 2, performing time sequence alignment on the sample data; 3, based on the quality evaluation factor of each category of collected data, the quality evaluation factor represents the credibility of the collected data, and the weight of each category of collected data is determined; 4, performing feature engineering extraction on the sample data to obtain feature engineering data of a plurality of types of core features; 5, the feature engineering data are input into a preset model for risk level prediction, a risk score is obtained, the risk level of the asthmatic attack is determined based on the risk score, and the risk level comprises a high risk level, a medium risk level and a low risk level. According to the invention, the asthma attack risk level can be identified as early as possible and more accurately, data support is provided for subsequent diagnosis and treatment, and subsequent disease control is facilitated.