552 results about "Lung function" patented technology

The invention belongs to the technical field of medical imaging and digital twinning, and discloses a thoracic cavity whole organ system level lung four-dimensional EIT detection digital motif and a library building method, and the method comprises the following steps: S1) segmenting multiple organs such as double lungs, heart, sternum, rib and thoracic vertebra central axis skeleton, main bronchus and esophagus based on an individual CT image, and building a three-dimensional geometric model integrated with an EIT electrode array; s2) simulating breathing dynamic deformation by using a solid mechanical model; s3) establishing a coupling relationship between deformation and conductivity, and generating dynamic three-dimensional conductivity distribution; s4) solving an electromagnetic field positive problem, and generating a virtual EIT voltage database synchronous with respiration; the invention also covers pathological model integration and data enhancement strategies. According to the method, a high-fidelity, large-scale and diversified EIT virtual data set can be generated, core data support is provided for training and verifying an AI intelligent reconstruction algorithm, and a model foundation is laid for developing a lung function dynamic digital twinning system.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib to a subject in need thereof.

A method for quantifying lung function using a medical image, comprising the following steps: capturing or receiving a medical image that includes anatomical information for a lung region of a patient; segmenting at least one region of abnormality in the lung region of the medical image using an artificial neural network; and predicting a quantification result with respect to lung function based on the size of the at least one region of abnormality.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib to a subject in need thereof.

The invention relates to the technical field of medical prediction, in particular to a digital twinborn prediction method for patient lung protective ventilation supported by ECMO, which comprises the following steps: extracting flow velocity change and jump points under the support of ECMO, constructing a ventilation fluctuation trend map, identifying fluctuation sections by combining compliance and pressure value ratio, delimiting lung partitions and analyzing oxygenation ratio trend. And generating an oxygenation capability classification graph, sequencing ventilation path effects, and outputting a pulmonary protective ventilation digital twinborn prediction scheme. According to the method, dynamic response mapping of ventilation behaviors is established on the basis of timing sequence changes of breathing flow velocity jump characteristics and compliance pressure value ratios, the lung regional ventilation state is accurately recognized, lung function zoning division is achieved by combining oxygenation ratio waveform classification, ventilation path utility sorting is completed through oxygenation descending characteristics under path coverage, and the lung function evaluation accuracy is improved. And a path state prediction sequence is constructed by fusing the change relationship between the tensile stress and the ventilation pressure, so that the dynamic adaptability of the ventilation strategy to the lung mechanics and oxygenation state and the region matching precision are improved.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib monotherapy as the main component to a subject in need thereof, as well as diagnostic criteria and markers establishing the progress of therapy.

The invention provides a traditional Chinese medicine composition for treating or improving asthma, and relates to the technical field of traditional Chinese medicine pharmacy. The traditional Chinese medicine composition is prepared from the following traditional Chinese medicine raw materials: inula flower, tabasheer, Japanese ardisia herb, cymbopogon distans, ligusticum, pyrrosia lingua, pawpaw, yam rhizome, rhizoma atractylodis, walnut meat, maltose, citron and liquorice. The monarch, minister, assistant and guide in the traditional Chinese medicine composition make the best responsibility, the traditional Chinese medicine composition aims at the symptoms of phlegm-qi obstruction and adverse rising of lung qi of asthma, also has the effects of strengthening the spleen, tonifying the kidney, soothing the liver and the like to consolidate the root cause, has the effects of dispelling wind and ventilating the lung, eliminating phlegm and lowering adverse qi, tonifying the spleen and eliminating dampness, warming the kidney and absorbing qi, and regulating the liver and regulating qi, and has the effects of purgation and tonification and treatment of both symptoms and root causes. The traditional Chinese medicine composition can effectively inhibit airway inflammation reaction of asthma model mice and improve clinical symptoms of the asthma mice, and is remarkable in treatment effect. The traditional Chinese medicine composition disclosed by the invention has a relatively high total effective rate for treating asthma, and has more advantages in the aspects of relieving clinical symptoms of asthma patients and improving lung functions.

The invention discloses a method for performing lung lobe region segmentation on an SPECTV / Q image by using a deep learning model, and relates to the technical field of medical image processing, and the method comprises the steps: obtaining SPECTV / Q image data, and generating a to-be-segmented image; performing multi-scale feature extraction on the to-be-segmented image to generate a shallow feature map and a deep feature map; performing threshold masking on the lung lobe segmentation probability graph to generate a binary mask; performing morphological operation based on the binary mask, and performing background noise elimination to generate a binary lung lobe mask; according to the method, the to-be-segmented image is input into the U-Net model, convolution and maximum pooling operations are executed by using the coding path to gradually extract the multi-scale feature map, the precision and robustness of lung lobe region segmentation are significantly enhanced, and the segmentation accuracy and robustness of the lung lobe region are improved. And a reliable technical basis is provided for quantitative analysis of lung functions.

The invention provides a lung function compensation mechanism dynamic quantitative analysis method combining partition impedance measurement and a machine learning algorithm, and the method comprises the steps: obtaining a corresponding relation between a ventilation dynamic sequence and a blood flow characteristic value, and enabling the ventilation dynamic sequence and the blood flow characteristic value to be aligned in a time dimension through a multi-dimensional data fusion technology, constructing a joint feature matrix reflecting the breathing process change and the blood flow state to obtain a time-space synchronization feature set; expanding the three-dimensional dynamic model according to a time axis by adopting a data visualization technology through a compensation state quantification result, extracting a key frame from linkage change of a ventilation state value and a blood flow characteristic value, and generating a dynamic representation sequence reflecting a lung function compensation process; and obtaining a dynamic representation sequence, carrying out grouping analysis on individual differences in the sequence by utilizing a clustering algorithm, extracting a characteristic mode related to disease dynamics from a grouping result, and obtaining final lung function compensation quantitative representation data.

The invention provides a lung function curve prediction method, a lung function curve prediction device, a storage medium and a program product. The prediction method comprises the following steps: acquiring flow rates of collected M sampling points; inputting the flow rates of the M sampling points into a pre-constructed and trained lung function curve prediction model, and predicting a lung function curve by using the trained lung function curve prediction model; the construction of the prediction model comprises the following steps: constructing a Taylor series expansion of an N-order K-element equation, and using the Taylor series expansion to represent the relationship between the flow velocity of the t-th sampling point of the lung function curve and the flow velocity of N sampling points before the t-th sampling point; wherein the training of the prediction model comprises the following steps: constructing a training data set; and training the lung function curve prediction model by using the training data set and a predetermined neural network algorithm until a predetermined training target is met. By utilizing the technical scheme, the real lung function curve data can be predicted by using a limited number of effective data points in the lung function examination process.

The invention belongs to the technical field of biological medicines, and particularly relates to application of a nauclea officinalis extract in preparation of a medicine for treating chronic obstructive pulmonary diseases. Experimental research shows that the nauclea officinalis extract is used for treating the chronic obstructive pulmonary disease, can inhibit lung inflammation of a patient suffering from the chronic obstructive pulmonary disease and improve the lung function and emphysema injury of the chronic obstructive pulmonary disease, can be used for preventing and treating the chronic obstructive pulmonary disease, and can be used for preventing and treating the chronic obstructive pulmonary disease. And a new strategy is provided for the development of medicines for treating chronic obstructive pulmonary diseases.

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 disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib to a subject in need thereof.

The invention discloses an intelligent respiratory disease detection system based on lung function measurement indexes, and relates to the technical field of intelligent medical detection. The problems that diagnosis standards are not uniform and depend on experience, primary doctors are prone to missed diagnosis or misdiagnosis due to insufficient experience, and the efficiency of the detection process is low are solved. According to the method, a machine learning model is constructed based on lung function indexes, parameters are optimized through five-fold cross validation, automatic classification of asthma, COPD and ILD / DPLD is achieved, the overall diagnosis accuracy rate reaches 81.3%, the limitation that traditional diagnosis depends on doctor experience is broken through, and the basic medical diagnosis capacity is especially improved. Healthy people are rapidly eliminated through the FVC / FEV1 ratio, invalid calculation is reduced, meanwhile, multi-model weighted fusion is adopted for complex cases, diagnosis robustness is improved, it is ensured that diagnosis results conform to medical logic, the recognition degree of doctors is enhanced, a data basis is provided for clinical research and curative effect tracking, and respiratory disease diagnosis is promoted to develop towards the direction of automation and precision.

The invention belongs to the technical field of lung rehabilitation training, and particularly relates to a lung rehabilitation training effect evaluation system and method based on multi-modal data fusion. According to the method, a dynamic reference model conforming to individual differences is established through three-dimensional pulmonary respiration mobility modeling based on patient CT images, individualized comparative analysis of lung function recovery states of different patients is achieved, and meanwhile external respiration dynamics and internal physiological state parameters are collected and fused; rehabilitation quality is evaluated from the two aspects of exercise performance and physiological response, scientificity and reliability of evaluation are remarkably improved, a patient can visually perceive difference between own breathing actions and an ideal state through AR visual correction prompts, active correction of actions and muscle memory formation are promoted, effectiveness of rehabilitation training is improved, and the rehabilitation training effect is improved. The training difficulty and the resistance threshold value are dynamically adjusted according to the historical evaluation result and the real-time correction effect, it is guaranteed that rehabilitation training is gradually strengthened within the safe and reasonable range, and the rehabilitation efficiency is improved.

The invention relates to the technical field of medical monitoring, in particular to a patient cardiopulmonary function monitoring system and method and a computer readable storage medium, the monitoring system comprises a breathing machine, a pulmonary membrane oxygenation device, a first monitoring module and a second monitoring module, and the breathing machine comprises a breathing circuit, a processing module and a display module; the pulmonary membrane oxygenation equipment comprises an oxygenator; the first monitoring module is used for monitoring carbon dioxide exhaling parameters in gas exhaled by a patient in real time; the second monitoring module is used for monitoring carbon dioxide discharge parameters in gas discharged by the oxygenator in real time. By means of real-time monitoring of exhaling parameters of carbon dioxide in gas exhaled by a patient and discharging parameters of carbon dioxide in gas discharged by an oxygenator, continuous monitoring of the change condition of the cardiac function and / or the lung function of the patient is achieved, oxygen consumption of the patient can be truly reflected, parameter adjustment of a breathing machine and lung membrane oxygenation equipment is facilitated, and the patient experience is improved. And guidance is provided for turning of the pulmonary membrane oxygenation equipment.

The invention discloses a lung function evaluation method for a patient in a pneumonia rehabilitation period, and relates to the technical field of rehabilitation management. Extracting a lung function feature set based on the image data; analyzing based on multi-dimensional parameter association, and establishing a dynamic mapping relationship between the lung function feature set and associated physiological parameters; identifying abnormal associated parameters through a dynamic mapping relation between the lung function feature set and the associated physiological parameters, and when the deviation between the image feature recovery degree and the corresponding physiological parameter recovery degree exceeds a preset threshold value, judging that functional abnormal parameters exist; and matching a potential complication database based on the abnormal parameter type, analyzing the relevance between the abnormal parameter and a preset disease feature model, and outputting secondary disease risk early warning. The method has the advantages that through cross-modal fusion of the lung image features and the dynamic physiological parameters, the early recognition precision of the pneumonia convalescence complication is remarkably improved.

The invention belongs to the technical field of traditional Chinese medicine preparations, and particularly relates to an innovative formula and a preparation method of a traditional Chinese medicine preparation for relieving cough and asthma, and the traditional Chinese medicine preparation comprises the following medicinal materials in parts by weight: 10-20 parts of flos farfarae, 10-20 parts of radix asteris, 5-15 parts of ephedra, 5-15 parts of almond, 5-15 parts of scutellaria baicalensis, 5-15 parts of white mulberry root-bark, 5-15 parts of radix stemonae and 3-10 parts of liquorice. Through reasonable compatibility of various traditional Chinese medicines, the traditional Chinese medicine composition acts on the respiratory system in a multi-target manner, can moisten the lung to arrest cough, can release the lung to relieve asthma, can clear heat and reduce phlegm, and has a good treatment effect on cough and asthma caused by various reasons. Animal experiments and clinical preliminary verifications prove that compared with a traditional Chinese medicine preparation for relieving cough and asthma, the preparation disclosed by the invention can more remarkably prolong the cough latency period, reduce the cough frequency, relieve the asthma symptom and improve the lung function, and the links such as reduced pressure concentration and preparation forming in the preparation process are all carried out under strict condition control, so that the traditional Chinese medicine preparation is free of toxic and side effects. The loss and degradation of effective components are reduced, and the stability and consistency of the product quality are ensured.

The embodiment of the invention relates to a lung function detection system which comprises a trolley used for bearing all functional modules of the detection system; the ventilation module comprises a valve body and a valve element, and the valve element is switched to be connected or disconnected with a valve body channel through actions so as to form different ventilation paths; the airway resistance module is configured to detect airway resistance parameters in the breathing process; the digital handle comprises a flow velocity tube provided with a total pressure channel, a static pressure channel and a sampling channel, the digital handle is configured to be selectively installed on the ventilation module or the airway resistance module, the breathing pressure is obtained through the total pressure channel and the static pressure channel in the breathing test process, and a corresponding gas sample is collected through the sampling channel; wherein the ventilation module is installed on the trolley through the first mechanical arm, the air channel resistance module is installed on the trolley through the second mechanical arm, and the digital handle is detachably connected to the trolley, the ventilation module or the air channel resistance module.

A method of treating a human subject which is effected by intermittent inhalation of gaseous nitric oxide at a concentration of at least 160 ppm is disclosed. The method can be utilized for treating a human subject suffering from, or prone to suffer from, a disease or disorder that is manifested in the respiratory tract, or from a disease or disorder that can be treated via the respiratory tract. The disclosed method can be effected while monitoring one or more of on-site and off-site parameters such as vital signs, methemoglobin levels, pulmonary function parameters, blood chemistry and hematological parameters, blood coagulation parameters, inflammatory marker levels, liver and kidney function parameters and vascular endothelial activation parameters, such that no substantial deviation from a baseline in seen in one or more of the monitored parameters.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib to a subject in need thereof.

A method of quantifying pulmonary function using a medical image includes acquiring or receiving a medical image including anatomical information for a lung region of a patient; segmenting at least one abnormal finding region in the lung region of the medical image using an artificial neural network; and predicting a quantification result related to pulmonary function based on a size of the at least one abnormal finding region.

The present invention relates to a compound for use in a method of treating idiopathic pulmonary fibrosis in a patient, the compound being ensefen or a pharmaceutically acceptable salt thereof, where the method comprises administering the compound to the patient by inhalation. The present invention relates to a compound for use in a method of treating pulmonary fibrosis in a patient by improving lung function or by preventing or reducing a decrease in lung function, the compound being empenagetine or a pharmaceutically acceptable salt thereof, where the method comprises administering the compound to the patient by inhalation.

The invention provides a breathing mode analysis method and device based on a calm breathing pressure difference waveform and electronic equipment, and relates to the technical field of medical signal processing and artificial intelligence, and the method comprises the following steps: obtaining a calm breathing pressure difference original signal of a target user; preprocessing the calm breathing pressure difference original signal to obtain a target waveform sequence; performing feature extraction based on the target waveform sequence to obtain a plurality of dimension features; combining the at least two dimension features to obtain a multi-modal feature; and inputting the multi-modal features into a trained classification model, and outputting a breathing pattern classification result. According to the method, the whole analysis process is completely based on natural calm breathing, special cooperation or forced breathing actions of the user are not needed, the pain point that traditional lung function examination has a high requirement for the user cooperation degree is solved, and auxiliary decision making of chronic respiratory diseases is achieved.

The invention provides a method and system for determining the volume of the end-expiratory lung and a breathing machine, and relates to the technical field of breathing detection.The method comprises the steps that the volume-impedance relation of the lung of a target object is obtained; and determining the end-expiratory lung volume of the target object based on the absolute impedance of the lung of the target object at the end-expiratory moment and the volume-impedance relationship. According to the method and system for determining the end-expiratory lung volume and the breathing machine, the end-expiratory lung volume can be determined, lung function evaluation, mechanical ventilation strategy guidance, prognosis improvement and the like are facilitated, and the practicability is high. And meanwhile, the device also has the advantages of no radiation, no invasion, low cost, convenience in operation, less time consumption, no requirement on special working environment, low matching requirement on patients, bedside operation, suitability for critical patients and the like.

Provided are methods and systems for measuring lung function, such as shunt and deadspace, using pulmonary gas exchange in management and treatment of pulmonary diseases including COVID-19.

Chronic obstructive pulmonary disease (COPD) remains a major cause of morbidity and mortality worldwide. Acute exacerbation of COPD (AE-COPD) in patients are mostly due to respiratory infection and are associated with an inexorable decline in lung function, enhanced oedema as well as airway and systemic inflammation. Previous results show that treatment with anti-IL-20Rb blocking antibodies increased the bacterial clearance in control mice infected by S. pneumoniae and protected CS-exposed mice from bacterial infection, by decreasing the bacterial burden and the inflammatory infiltrate. Therefore there is an interest for generating monoclonal antibodies specific for IL-20Rb with a neutralizing activity for their use in the treatment of AE-COPD. The present invention fulfills this need by providing antibodies having specificity for IL-20Rb.

Systems and methods for lung function parameters are disclosed herein. An electrocardiographic (ECG) device acquires ECG signals from a patient during a breathing cycle. A neural network trained to perform ECG-derived respiratory (EDR) analysis extracts respiratory information from the acquired ECG signals. A processor accesses the neural network. Respiratory features are extracted from the ECG signals. A forced expiratory volume (FEV1) of the patient during the breathing cycle is determined using the respiratory features. A report of lung function is generated using the FEV1.

The invention relates to the technical field of biological medicines, in particular to a pharmaceutical composition and application thereof in preparation of a medicine for treating the heart-lung qi deficiency type pulmonary heart disease. The pharmaceutical composition consists of 21-27 parts of astragalus membranaceus, 13-17 parts of semen lepidii, 7-10 parts of cassia twig, 21-27 parts of ligusticum wallichii, 7-10 parts of rhizoma alismatis, 5-7 parts of platycodon grandiflorum and 2-4 parts of Chinese dates. Compared with the prior art, the cassia twig is adopted to replace fructus psoraleae in an original formula, and meanwhile, the medicinal material specifications of the fried semen descurainiae, the raw ligusticum wallichii and the salted rhizoma alismatis are preferably selected. The invention also provides three preparation methods of the pharmaceutical composition, namely a water extraction and alcohol precipitation method, an alcohol extraction and water extraction combined method and a crushing and mixing method. Experimental results show that the pharmaceutical composition has remarkable effects on improving heart functions, lung functions, blood-gas indexes, right ventricular hypertrophy and the like of pulmonary heart disease model animals, meanwhile, the hepatotoxicity risk of fructus psoraleae is avoided, and the pharmaceutical composition has a good clinical application prospect.

The present application belongs to the technical field of medicine preparation, and relates to application of a blood-nourishing oral liquid in preparation of medicine for improving blood oxygen saturation. The blood-nourishing oral liquid can improve blood oxygen saturation, improve hypoxemia, improve lung function, and has a preventive and / or therapeutic effect on lung injury, especially acute lung injury.