563 results about "Obstructive Pulmonary Diseases" patented technology

Methods of treating a central airway obstruction (CAO), benign airway stenosis, asthma, chronic obstructive pulmonary disease (COPD), or an airway tumor in a human subject, methods of treating chronic rhinosinusitis (CRS) or chronic rhinosinusitis with nasal polyps (CRSwNP) in a human subject, methods of treating a eustachian tube disorder in a human subject, and devices and systems for performing the methods. A method of treating a central airway obstruction (CAO), benign airway stenosis, asthma, chronic obstructive pulmonary disease (COPD), or an airway tumor in a human subject includes inserting a drug-coated balloon catheter into a target site in a trachea, mainstem bronchus, bronchus intermedius, lobar bronchus, segmental bronchus, or sub-segmental bronchus, wherein the balloon is coated with a coating layer including the therapeutic agent and one or more additives. The therapeutic agent includes paclitaxel, sirolimus, or a derivative thereof. The method includes inflating the balloon to dilate the airway and deliver a therapeutic agent to the airway wall. The method includes deflating the balloon. The method also includes withdrawing the balloon catheter from the target site.

To provide a device and a method for treating at least one of hypertension, pulmonary arteries, diabetes, obesity, heart failure, end-stage renal disease, digestive disease, urological disease, cancers, tumors, pain, asthma or chronic obstructive pulmonary disease by delivering an effective amount of a formulation to a tissue.SOLUTION: In embodiments of the present invention, the formulation may include at least one of a gas, a vapor, a liquid, a solution, an emulsion or a suspension of one or more ingredients. In embodiments of the present invention, amounts of the formulation and / or energy are effective in injuring or damaging tissue, nerves and nerve endings in order to relieve disease symptoms.SELECTED DRAWING: Figure 3B

The invention discloses a COPD-FE risk prediction method based on disease and symptom combination, and is applied to the technical field of chronic obstructive pulmonary disease risk prediction. Comprising the following steps: acquiring chronic obstructive pulmonary frequent acute exacerbation influence factor data of a patient; the influence factors are screened through LASSO regression and an improved Boruta algorithm respectively; the LASSO independent influence factors and the Boruta independent influence factors are combined in different modes, a Logistic regression model and an XGBoost model are trained, and a plurality of COPD-FE risk prediction models are obtained; and evaluating the performance of all the COPD-FE risk prediction models, and selecting the COPD-FE risk prediction model meeting the requirement to predict the COPD-FE risk. According to the method, clinical data of patients are collected, a risk prediction model is constructed in combination with a feature selection method and machine learning, and an optimal model is screened out through comprehensive evaluation.

The invention belongs to the technical field of biological medicine, and particularly discloses application of kaempferol in preparation of a medicine for treating chronic obstructive pulmonary disease. The invention provides application of kaempferol in preparation of a medicine for treating chronic obstructive pulmonary disease. The invention provides a medicine for treating chronic obstructive pulmonary disease. The medicine comprises kaempferol or pharmaceutically acceptable salt thereof as an active ingredient. The invention aims to provide the application of kaempferol in preparation of the medicine for treating the chronic obstructive pulmonary disease, and the chronic obstructive pulmonary disease is treated by adjusting an AMPK signal channel, a Hippo signal channel, an MAPK signal channel and a PI3K-AKT signal channel.

The invention relates to polypeptide gold nanoparticles modified by trace cigarette extract CSE (0.1%-1%) and application of the polypeptide gold nanoparticles in preparation of drugs for treating chronic obstructive pulmonary diseases. The polypeptide-modified gold nanoparticle is a polypeptide-modified gold nanoparticle as shown in a sequence SEQ ID NO: 1. It is confirmed for the first time that polypeptide (CLPFFD, SEQ ID NO: 1) gold nanoparticles modified by trace CSE (0.1%-1%) can antagonize mtDNA synthesis and inhibit mitochondrial ROS generation so as to inhibit activation of macrophage NLRP3 inflammasome, induce depolarization of macrophage and target lung macrophage in vivo to achieve anti-inflammatory activity, and the polypeptide (CLPFFD, SEQ ID NO: 1) gold nanoparticles can be used for preparing anti-inflammatory drugs. The compound has an obvious treatment effect in a COPD acute exacerbation model and a stable phase model, so that the compound can be used for preparing medicines for treating COPD. The medicine has the advantages of being remarkable in curative effect, capable of acting on specific cells in a targeted mode, convenient to track in vivo and the like, and a new treatment means is provided for COPD.

The invention relates to the technical field of medical health monitoring and neural networks, and provides a chronic obstructive pulmonary disease patient leaving hospital monitoring system which comprises the steps that multi-source data of a patient is acquired, and the multi-source data at least comprises daily health monitoring data and electronic medical record data; preprocessing and feature extraction are conducted on the multi-source data through a data processing module, health feature data of the patient are obtained, and the health feature data are features related to the chronic obstructive pulmonary disease condition selected from the multi-source data and comprise features based on respiratory functions, features based on lifestyles and behaviors and features based on complications and complications; and features based on drug use; integrating and updating the health feature data through a patient health condition evaluation module, and performing clustering analysis on the integrated and updated real-time health data by adopting a density-based clustering algorithm DBSCAN to obtain a health portrait of the patient; the health portrait is analyzed through a medical large model analysis module, an illness state evaluation result and a health management suggestion are obtained, and a deep learning model designed by combining a convolutional neural network CNN with a multi-modal model architecture of an attention mechanism Transform is used in the medical large model analysis module; remote monitoring, interactive communication and personalized intervention operation are executed through the remote medical intervention module according to the illness state evaluation result.

The invention discloses a chronic obstructive pulmonary disease patient screening system for the respiratory medicine department, particularly relates to the field of computer-aided diagnosis, and is used for solving the technical problems that an existing screening method is low in screening efficiency, low in patient adaptability and difficult to popularize on a large scale in a basic level. According to the system, a standardized patient medical event sequence is constructed by obtaining a target population medical record containing medicine distribution and disease diagnosis codes; identifying a characteristic medication and diagnosis mode before definite diagnosis of the chronic obstructive pulmonary disease based on a sequence pattern mining technology; constructing a medical knowledge graph by using the modes, obtaining a feature embedding vector representing a chronic obstructive pulmonary disease medical trajectory through graph neural network learning, and establishing a high-risk digital portrait; inputting the medical sequence of the person to be screened into a feature extraction model based on same map training, and generating an individualized risk probability prediction value by calculating the matching degree of the medical sequence and the digital portrait; and a screening result report is automatically generated, so that efficient and noninvasive early risk screening is realized.

According to the chronic obstructive pulmonary disease grading system and method based on the X-ray chest radiograph, the original X-ray chest radiograph is obtained, and the original X-ray chest radiograph is preprocessed; a conditional generative adversarial network is adopted to separate the preprocessed original X-ray chest radiograph, and a bone suppression image and a bone tissue feature image are obtained; inputting the bone tissue feature image into the constructed double-branch deep neural network to obtain a pulmonary parenchyma feature map and a rib feature map; obtaining a clinical variable, preprocessing the clinical variable, performing cross-modal fusion on the preprocessed clinical variable, the lung parenchyma feature map and the rib feature map, and generating a fusion feature vector; processing the fusion feature vector by combining a regression-classification output header model to obtain an FEV1% predicted value and a GOLD staging result; a conditional generative adversarial network, a double-branch deep neural network, cross-modal fusion and a joint regression-classification output head model are introduced, and low-cost, low-radiation and high-universality GOLD automatic grading can be realized.

The invention relates to the technical field of rehabilitation treatment of chronic obstructive pulmonary patients, and discloses a therapeutic scheme matching method for rehabilitation treatment of chronic obstructive pulmonary patients, comprising the following steps: step 1, a data acquisition and integration module which is responsible for collecting multi-dimensional data of patients; according to the treatment scheme matching method for the rehabilitation treatment of the chronic obstructive pulmonary disease patient, unnecessary medical resource waste can be avoided, the patient can be timely and properly treated, the overall utilization efficiency of the medical resources is improved, detailed treatment information and self-management suggestions are provided for the patient, and the patient is prevented from suffering from chronic obstructive pulmonary disease. A patient can better know the illness state and the treatment process of the patient, a personalized treatment scheme is easier to accept and execute by the patient, the treatment compliance of the patient can be improved, a large amount of real-world patient data is accumulated by the system, rich materials are provided for medical research, and through deep mining and analysis of the data, the treatment compliance of the patient can be improved. Pathogenesis, treatment effect influence factors and the like can be further explored.

The invention discloses a traditional Chinese medicine composition for treating chronic obstructive pulmonary disease 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 components in parts by weight: 140-200 parts of astragalus membranaceus, 60-120 parts of rehmannia, 40-80 parts of fructus psoraleae, 15-50 parts of walnut kernel, 40-80 parts of aster, 140-200 parts of codonopsis pilosula, 50-85 parts of radix paeoniae rubra, 15-45 parts of schisandra chinensis and 50-80 parts of white mulberry root-bark. The traditional Chinese medicine composition has a good treatment effect on the chronic obstructive pulmonary disease, and meanwhile, the composition is small in side effect and small in harm to the human body.

The invention belongs to the field of medical image analysis, and provides a multi-modal semi-supervised image analysis and structured report generation method and application for solving the problems that standardized report generation efficiency of chronic obstructive pulmonary disease patients is low and the patients highly depend on artificial experience. Performing pretreatment; constructing an improved variational auto-encoder to obtain latent variable representation of the lung medical image data; using domain adaptive adversarial learning to align the data in the unlabeled data set to the distribution of the data in the labeled data set on the latent variable and the segmentation result; generating a preliminary report text by using a text decoder according to a hidden variable output by an encoder of the variational auto-encoder; knowledge distillation is carried out based on a pre-trained Teacher network and a text decoder, and medical terms and abbreviations in the preliminary report text are modified; and outputting the structured report. According to the invention, the lung focus can be segmented with high precision, the disease degree is quantified and the structured report is automatically generated.

Provided herein are pharmaceutical compositions and methods for treating COPD or COPD exacerbations in subjects suffering from, for example, moderate COPD, or subjects with decreased eosinophil concentrations, or are suffering from chronic bronchitis. Also provided herein are methods of increasing trough lung function in subjects suffering from moderate COPD. In some aspects, the compound is in an inhalable pharmaceutical composition.

The invention discloses a chronic obstructive pulmonary disease high risk dynamic assessment model system based on an artificial intelligence algorithm, relates to the technical field of chronic obstructive pulmonary disease high risk assessment, and aims to solve the technical problem that the timeliness and accuracy of an assessment result of an existing assessment model are limited. The medical data acquisition module is used for acquiring medical data of a subject through a wearable device, an electronic medical record system or a manually input multi-source channel, generating standardized preprocessed medical data after performing format cleaning, missing value filling and abnormal value filtering on the data, and transmitting the standardized preprocessed medical data to the memory of the cloud database; and the artificial intelligence dynamic assessment model construction module is used for constructing an artificial intelligence assessment model fusing time sequence characteristics and a nonlinear relationship based on the preprocessed medical data, and generating an intermediate result and a final parameter of risk assessment through multi-level calculation. The method has the advantage that the high risk of chronic obstructive pulmonary disease can be dynamically evaluated in real time.

The present invention relates to a compound for use in a method of treating chronic obstructive pulmonary disease (COPD) in a patient suffering from COPD, which compound is ensifentrine or a pharmaceutically acceptable salt thereof, wherein: the patient is resistant to improvements in lung function; and treating COPD comprises (i) improving the symptoms of COPD in the patient and / or (ii) improving the quality of life of the patient. In some aspects, the compound is in an inhalable pharmaceutical composition.

Provided herein are pharmaceutical compositions and methods for providing blood plasma concentrations of ensifentrine to specific patient group populations including those with modified renal or hepatic impairment.

The present invention provides, among other things, apparatus and methods of use for treating a subject in need of assistance with breathing. In some embodiments the subject suffers from airflow obstruction. In some embodiments, the subject suffers from chronic obstructive pulmonary disease.

The invention belongs to the technical field of medical instruments. In order to solve the problems that an existing lung function detection device is low in detection result accuracy and cannot detect parameters such as the residual gas amount, the device for assisting in detecting the lung function of the chronic obstructive pulmonary disease patient is provided and comprises a detection device, a helium bottle, a sealing mask, a nose clip, an air suction pipe, an air outlet pipe, a sealing unit and a plugging switching mechanism; one end of the air suction pipe is connected with the helium tank, and the other end is connected with the plugging switching mechanism; one end of the air outlet pipe is connected with the detection device, and the other end is connected with the plugging switching mechanism; the nose clip is arranged at the upper end of the sealing mask. According to the embodiment of the invention, a subject cannot inhale external air and cannot exhale in-vivo air from the nasal cavity through the nasal clip, and the plugging switching mechanism can thoroughly open the pipe orifice of the air outlet pipe or the air inlet pipe, so that the subject can inhale or exhale easily, the detection accuracy is high, and the detection efficiency is high. And the method can be combined with a closed helium dilution method to obtain parameters such as residual gas amount.

The present application belongs to the technical field of traditional Chinese medicine, and particularly relates to a traditional Chinese medicine composition for relieving cough and asthma, and a preparation method and application thereof. The traditional Chinese medicine composition comprises, in mass parts, perilla seed 5-15 parts, radish seed 5-15 parts, white mulberry bark 5-15 parts, orange red or processed orange red 5-15 parts, and cassia 5-15 parts. The traditional Chinese medicine composition has the effect of relieving cough and asthma, can effectively improve the clinical symptoms such as cough, expectoration and wheezing of patients with chronic obstructive pulmonary disease, promote lung rehabilitation, improve the dyspnea condition of the patients, and improve the life quality of the patients.

The present invention relates to the field of medical data processing technology, and proposes a rehabilitation management method for patients with chronic obstructive pulmonary disease, comprising: continuously monitoring and obtaining the patient's blood oxygen saturation and heart rate data throughout the day, and recording the patient's exercise data; dividing the patient into several exercise stages; analyzing the fluctuations in the patient's blood oxygen saturation data between two adjacent exercise stages, combining the blood oxygen saturation data and its changing trends during the patient's exercise stages, and determining the oxygen drop characterization parameter for each exercise stage of the patient; obtaining the control uniformity of each exercise stage of the patient; adjusting the critical threshold value of the patient's blood oxygen saturation in each exercise stage; and performing real-time monitoring of the blood oxygen saturation based on the critical threshold value of each exercise stage of the patient to assist in the management of the patient's rehabilitation process. The present invention aims to solve the problem of misjudgment caused by blood oxygen changes during exercise during the patient's blood oxygen monitoring process.

The invention discloses a chronic obstructive pulmonary disease risk assessment system based on nursing information. The chronic obstructive pulmonary disease risk assessment system comprises a data acquisition module, a feature extraction module, a risk prediction module and a chronic obstructive pulmonary disease risk assessment module. The invention belongs to the field of medical information processing, and particularly relates to a chronic obstructive pulmonary disease risk assessment system based on nursing information, which dynamically adjusts the size of a receptive field based on the change rate of the nursing information, adaptively captures short-term fluctuation and long-term trend, reduces excessive attention to stable nursing data, and improves the risk assessment accuracy. The feature expression ability of a key fluctuation area is improved, and then the accuracy of risk assessment of the chronic obstructive pulmonary disease is improved; penalty parameters are dynamically adjusted according to sample distribution, attention to high-risk patients is enhanced, bias to low-risk patients is relieved, a logarithmic smoothing mechanism is introduced into the low-risk patients to reduce noise interference, and inter-class distances are introduced into a target function to avoid inter-class decision overlapping; and the risk assessment effect of the chronic obstructive pulmonary disease is improved.

The embodiment of the invention provides a traditional Chinese medicine preparation for improving lung qi and yin deficiency constitution and a preparation method thereof. The traditional Chinese medicine preparation is prepared from the following raw materials: 1-3 parts of American ginseng, 2-15 parts of Chinese yam, 1.5-9 parts of codonopsis pilosula, 1-6 parts of dendrobium officinale, 1.5-9 parts of rhizoma polygonati, 0.5-2 parts of schisandra chinensis, 2-6 parts of lily, 1-3 parts of pericarpium citri reticulatae, 1-2 parts of liquorice, 1-5 parts of folium mori, 1-3 parts of donkey-hide gelatin, 1-3 parts of mint, 1-6 parts of angelica sinensis and 2-9 parts of coix seeds. Therefore, the traditional Chinese medicine composition has the functions of tonifying qi and yin, clearing heat and moistening lung, replenishing blood and promoting salivation, and relieving cough and reducing sputum, and can be widely applied to chronic cough, various pneumonia, pulmonary tuberculosis, chronic obstructive pulmonary disease, lung malignant tumor, asthma remission period of asthma, respiratory failure and other syndrome-differentiated lung qi and yin deficiency patients.

The utility model discloses a rehabilitation training device for nursing chronic obstructive pulmonary disease, a pedaling device comprises a mounting frame and a linkage assembly, and the mounting frame is arranged on the other side of a support frame; the linkage assembly is rotatably arranged in the mounting frame; the breathing device comprises a breathing box, a breathing assembly, a hose and a mask, and the breathing box is arranged on one side of the top of the mounting frame; the breathing assembly is arranged in the breathing box, and the breathing assembly is connected with the linkage assembly; one end of the hose is connected with the breathing assembly; the mask is connected with the other end of the hose; the control system comprises a microprocessor, and the microprocessor is arranged in the breathing box and connected with the breathing assembly. Therefore, the device combines pedaling and breathing training, strengthens lower limb strength and improves the breathing function, the linkage assembly ensures synchronization of the pedaling and breathing training, the training effect is improved, the built-in control system monitors breathing in real time, the training intensity is automatically adjusted, safety and comfort are guaranteed, and the training effectiveness and patient compliance are improved.

The present invention relates to the field of biomedicine. Provided are an anti-human IL-4Rα antibody or an antigen-binding fragment thereof and the use thereof. The anti-human IL-4Rα antibody comprises heavy chain complementarity determination regions HCDR1, HCDR2 and HCDR3, and light chain complementarity determination regions LCDR1, LCDR2 and LCDR3, has high affinity with human IL-4Rα, can be used for preparing an antibody drug, can be used for treating type-II inflammatory diseases, and has relatively good clinical efficacy and relatively low toxic and side effects. Further provided are a bispecific antibody against both IL-4Rα and TSLP, and the use of the antibody in the preparation of a drug for treating severe asthma, moderate to severe atopic dermatitis and chronic obstructive pulmonary disease.

The invention relates to a chronic obstructive pulmonary disease data processing method and system based on a millimeter wave radar, and the method comprises the steps: obtaining an echo signal of the millimeter wave radar which carries out a step test based on a target, and determining the motion state of the target in real time according to the echo signal; adjusting a filtering method of the echo signal according to the motion state of the target; through a variational mode decomposition method, sign data of the target are extracted from the filtered echo signals, and the sign data comprise respiration signals and heartbeat signals. According to the method, target sign data are measured through the echo and variational mode decomposition method of the millimeter wave radar, so that the cost of collecting and processing the chronic obstructive pulmonary disease data is reduced, and the collecting process is unattended.

An early screening system for chronic obstructive pulmonary disease based on blood routine test data. It belongs to the technical field of digital medical treatment, and specifically relates to the technical field of intelligent early screening of chronic obstructive pulmonary disease. It solves the technical problem that the generalization ability of a COPD prediction model is limited due to differences between different research data sets. The system comprises a data collection module that collects blood routine test data of a plurality of chronic obstructive pulmonary disease patients and blood routine test data of a plurality of normal personnel; a data preprocessing module that performs standardization processing on the blood routine test data to obtain a standardized data set; a screening model training module that trains N classification models using the standardized data set and calculates the prediction accuracy of each classification model; and a screening model application module that obtains the fusion weight of each model by using a normalization processing method based on the prediction accuracy of each classification model, fuses the risk scores predicted by the multiple models, and obtains a final screening result.

The invention relates to the technical field of chronic obstructive pulmonary disease rehabilitation medical equipment and services, discloses a chronic obstructive pulmonary disease multi-mode respiratory training system based on behavioral design science, and aims to solve the technical problems that an existing respiratory training product is poor in patient compliance, poor in user experience and lack of personalized behavior guidance. The system comprises a hardware equipment cluster and a software service platform, a multi-dimensional intervention architecture is constructed based on an FBM behavior model, and closed-loop services of respiratory training, drug management, health monitoring and rehabilitation support are realized through an motivation promotion module, a capability optimization module, a multi-sensory prompt module and a data interaction module. The system effectively stimulates the training enthusiasm of a patient, reduces the operation threshold, improves the training and medication compliance, improves the respiratory function and life quality of the patient, reduces the consumption of medical resources, and has remarkable clinical application value and social and economic benefits through deep fusion of behavioral design and a multi-modal rehabilitation technology.

The invention relates to the technical field of medical data assistance, in particular to a screening assistance system and electronic equipment for chronic obstructive pulmonary disease based on cough sound, and the screening assistance system comprises a data acquisition module which is used for acquiring to-be-processed audio data; the cough sound extraction module is used for acquiring a Mel-frequency spectrogram of the audio data and extracting cough sound fragments from the Mel-frequency spectrogram by using a pre-trained Conformer-BiLSTM network; the chronic obstructive pulmonary disease screening module is used for preprocessing the cough sound segment and converting the cough sound segment into a frequency domain signal, and acquiring an FBank characteristic parameter corresponding to the frequency domain signal through a Mel filter; and inputting the FBank characteristic parameters into a pre-trained classification model with dynamic convolution and a multi-scale attention mechanism, and outputting classification results of the chronic obstructive pulmonary cough sound and the non-chronic obstructive pulmonary cough sound. According to the invention, the possibility of classification errors is reduced, and the classification efficiency is improved.

The invention relates to the technical field of medical rehabilitation training, and discloses a chronic obstructive pulmonary disease patient inspiration muscle endurance training method fused with a virtual reality environment, and the method comprises the steps: setting an inspiration training intensity threshold value according to the obtained individual information of a chronic obstructive pulmonary disease patient, and generating a virtual reality scene which comprises a virtual motion object and an advancing path; an inspiration signal value is obtained, the advancing speed of the virtual moving object and the inspiration signal value are in positive correlation mapping, the inspiration signal value is compared with an inspiration training intensity threshold value, and a comparison result is obtained; according to the comparison result, dynamically adjusting the visual environment resistance or kinematics resistance generated by the virtual reality scene to the virtual motion object, so that the advancing speed of the virtual motion object is matched with the inspiratory muscle endurance of the chronic obstructive pulmonary disease patient; according to the method, the problems that existing training compliance is low, a dynamic adjusting mechanism is lacked, and feedback intuition is poor are solved.

The invention discloses steam ablation equipment which comprises an industrial personal computer, a steam generator, a gear pump system based on PID self-regulation, a heat tracing pipe, a sensor, an upper computer and an electromagnetic valve. The temperature index of steam output is controlled, the steam outlet pressure is controlled, and it can be known through simulation that in steam ablation, the temperature and the outlet pressure have important influences on the ablation effect; in order to realize accurate control of air pressure, a gear pump system based on PID self-regulation is adopted to realize closed-loop control of air outlet pressure; in order to realize accurate temperature control, the steam generator is divided into a vaporizing chamber and a heating chamber; the air outlet pressure and the air outlet temperature can be set at will, and by matching with different steam outlet needles, the device can be applied to the field of steam ablation in various occasions, such as chronic obstructive pulmonary disease, prostate and tumor fields possibly involved in the future.

The present disclosure relates to methods of treating a subject suffering from an eosinophil-associated chronic obstructive pulmonary disease (COPD) or asthma-COPD overlap (ACO) using compounds that bind to CD131 and inhibit signalling of interleukin (IL) 3, IL-5 and granulocyte-macrophage colony stimulating factor (GM-CSF).