10 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.

The invention relates to an exhaled gas metabolism marker for evaluating attack severity of a bronchial asthma patient and a screening method of the exhaled gas metabolism marker. The marker is acetic acid. The screening method of the exhaled gas metabolism marker for evaluating the severity of the attack of the bronchial asthma patients comprises the following steps: respectively collecting exhaled gas of the bronchial asthma patients with mild continuous attack and moderate continuous attack as analysis samples; analyzing each exhaled gas sample by using HPPI-TOFMS to obtain an original mass spectrum of each exhaled gas sample; preprocessing the original mass spectrum of each expired gas sample to obtain data containing relative intensity information of metabolites; carrying out univariate and multivariate analysis on the data containing the relative intensity information of the metabolites, and screening out differential metabolites; a metabolite with the largest difference is screened out through binary logistic regression analysis, and the metabolite is the marker. The method is simple to operate, can efficiently and objectively evaluate the severity of the attack of the bronchial asthma patient, and has important clinical application value.

The invention discloses a traditional Chinese medicine composition for treating asthma as well as a preparation method and application thereof, and belongs to the technical field of traditional Chinese medicine, the traditional Chinese medicine composition comprises the following medicinal raw materials in parts by mass: 5-15 parts of ephedra, 10-30 parts of humulus scandens, 5-20 parts of radix sophorae flavescentis, 5-20 parts of earthworm, 10-30 parts of semen lepidii, 5-20 parts of rhizoma pinellinae praeparata, 3-9 parts of asarum, 10-30 parts of wild buckwheat, 5-20 parts of blackberry lily, 5-25 parts of raw almond, 5-20 parts of mangnolia officinalis and 5-20 parts of schisandra chinensis. The invention further discloses a preparation method and application of the traditional Chinese medicine composition. The traditional Chinese medicine has the beneficial effects that the traditional Chinese medicine treats asthma from dampness, has the core of clearing heat and eliminating phlegm, freeing lung and relieving asthma, and consolidating foundation and clearing damp, can improve the damp syndrome state of asthma patients, relieve clinical symptoms such as wheeze, shortness of breath, chest distress and cough, improve the life quality and improve the asthma control level, and has potential advantages of reducing acute attack of asthma.

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.

The present invention discloses a method for assessing and predicting the risk of childhood asthma attacks, which relates to the technical field of medical data processing. The method includes collecting the physiological data and environmental humidity data of children; performing fluctuation analysis on the respiratory rate data to obtain a respiratory fluctuation index, and at the same time performing correlation analysis on the heart rate data and body temperature data to obtain body state parameters, and performing cross-calculation to generate an initial asthma risk score; retrieving a reference data group matching the age of the child from a preset historical database, comparing and analyzing the initial asthma risk score with the reference data group to obtain a correction coefficient; multiplying the initial asthma risk score by the correction coefficient to generate a final risk prediction value, and determining the asthma attack risk level according to the numerical range of the final risk prediction value. By collecting children's physiological data and environmental humidity data and combining data processing and analysis methods, the present invention can monitor the physical condition and environmental factors of children in real time and assess the risk of asthma attacks.

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 utility model discloses an adhesive wearable device for monitoring asthmatic attack of children at night, which relates to the technical field of auxiliary medical instruments and comprises an adhesive assembly, a sensor assembly is mounted in the middle of the top end of the adhesive assembly, an adhesive layer is arranged at the bottom of the sensor assembly, and a protective layer is adhered to the bottom end of the adhesive layer. Through the arrangement of the pasting assembly and the sensor assembly, the pasting assembly can be well pasted to the neck of a patient through the pasting layer on the non-woven fabric layer, the neck can be obviously sunken according to the asthma occurrence characteristics, and therefore real-time monitoring can be conducted through the sensor assembly; and the result can be transmitted to a mobile phone and a hospital monitoring center, so that the patient can be conveniently observed in real time at night, a traditional monitoring mode is not needed, the equipment wearing amount is reduced, the detection is simple and convenient, and the practicability is high.

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.