901 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 specification provides methods and compositions for treating fibrosis, particularly pulmonary fibrosis. The pulmonary fibrosis may be idiopathic or arise following an infection of the lung. The lung infection can be by SARS-COV-2. Lung function stabilizes or is improved as a result of treatment.

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

The present specification provides methods and compositions for treating fibrosis, particularly pulmonary fibrosis. The pulmonary fibrosis may be idiopathic or arise following an infection of the lung. The lung infection can be by SARS-CoV-2. Lung function stabilizes or is improved as a result of treatment.

The invention discloses a respiration monitoring system based on a flexible strain sensor and a monitoring analysis method, and belongs to the technical field of sensors and respiration monitoring equipment. The respiration monitoring system comprises a flexible strain sensor, a connecting line, a data acquisition card and an upper computer; the flexible strain sensor is a band-aid type flexible strain sensor and can be directly adhered to the skin surface of a human body, and the deformation of muscles related to respiration is monitored and converted into the change of a resistance signal. And the flexible strain sensor is connected with the data acquisition card through a connecting line. And the data acquisition card is connected with the upper computer and is used for transmitting the acquired resistance signals to the upper computer. The quantitative breathing mode judgment standard is provided through dynamic measurement of the respiratory muscle group, and the defect that judgment is mainly conducted through naked eyes of doctors for a long time can be overcome; the relation between the respiratory muscle group deformation and the lung function parameters is associated, and the problem that the actual respiration condition of part of patients does not conform to the detection condition in conventional lung function detection can be solved.

A traditional Chinese medicine composition for treating abnormal lung function and laryngitis caused by the influenza virus; the traditional Chinese medicine composition comprising as a primary formula of active ingredients seven medicinal / edible source materials composed of: Siraitia grosvenorii, Cinnamomum cassia, Prunella vulgaris, Houttuynia cordata, Platycodon grandiflorus, Gardenia jasminoides and Glycyrrhiza uralensis. The foundation of the primary formula is supplemented by a secondary formula of seven medicinal / edible source materials consisting of: Citrus reticulata (mandarin orange), Eriobotrya japonica leaves, Angelica dahurica, Arctium lappa root, Piper nigrum, Phragmites australis root and Syzygium aromaticum, and different preparations are prepared. The traditional Chinese medicine combined formula can be a combined formula of source herbs, and can likewise be a combined formula of extracts thereof, and can likewise be a combined formula of source herbs and extracts. The traditional Chinese medicine composition has a significant therapeutic effect on symptoms such as sore throat, itchy throat cough, swelling and pain in the throat, pharyngeal discomfort, etc. resulting from influenza-caused pneumonia such as abnormal lung function and difficulty breathing, cough, lung nodules, ground glass opacity in the lungs, pulmonary fibrosis, interstitial lung disease and laryngitis, and has a certain relieving, progression-stopping and disease condition control and treatment effects on chronic obstructive emphysema.

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 invention relates to the technical field of intelligent monitoring, and particularly discloses a lung function evaluation method and device, electronic equipment and a storage medium, and the method comprises the following steps: obtaining a universal dynamic threshold range of respiratory rate and respiratory amplitude; continuously collecting breathing data output by the MEMS breathing sensor, and obtaining and updating the moving average value and the moving standard deviation of the breathing frequency and the breathing amplitude in real time so as to calculate the change rate of the breathing frequency and the breathing amplitude in real time; according to the updated moving average value and the moving standard deviation, dynamically adjusting the dynamic threshold range of the breathing frequency and the breathing amplitude; comprehensively considering the adjusted dynamic threshold range and the change rate to carry out breathing abnormity judgment so as to carry out lung function evaluation; according to the method, finally, the adjusted dynamic threshold range and the breathing parameter change rate are comprehensively considered, breathing abnormity judgment is conducted, the lung function evaluation result is generated, breathing abnormity can be recognized more accurately, and the accuracy and reliability of lung function evaluation are improved.

The lung analysis system based on the parameter response diagram and the image generation system is realized. The system is composed of a data collection and management module, an image registration module, a controllable image generation module, a parameter response diagram analysis module and a disease course development evaluation module. The data collection and management module is in butt joint with a hospital information system and CT image collection equipment. The image registration module receives a double-phase CT scanning image of a patient to obtain a registered double-phase CT image; the controllable image generation module receives a single inspiration phase CT scanning image of a patient as input to generate a registered expiration phase CT scanning image; the parameter response diagram analysis module obtains multiple parameter response diagram analysis and evaluation results of organic lesion evaluation of the lung of the patient; the disease course development evaluation module predicts the lung function condition of the patient. Therefore, the problems that when a parameter response diagram method is used, biphasic CT collection is difficult, and the ability to evaluate the disease course development of a patient is lacked are solved.

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 specification provides methods and compositions for treating fibrosis, particularly pulmonary fibrosis. The pulmonary fibrosis may be idiopathic or arise following an infection of the lung. The lung infection can be by SARS-COV-2. Lung function stabilizes or is improved as a result of treatment.

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 relates to the technical field of health management and medical information, and discloses an all-dimensional intelligent cardiopulmonary health management system and method and electronic equipment, and the system comprises a biological sensing module which is used for continuously collecting key physiological indexes of the heart rate, the oxyhemoglobin saturation, the respiratory rate and the motion state of a user; the data processing module is used for storing the collected physiological data and historical exercise records of the user through a central database of a cloud computing platform; the deep learning analysis module is a prediction model built based on a deep learning framework and is used for analyzing the physiological data of the user and generating a personalized exercise plan; the real-time monitoring module is used for detecting the physiological state of the user and automatically adjusting the exercise intensity or type when the physiological state exceeds a preset threshold value. The technical scheme that the multi-mode biosensor is combined with the real-time monitoring module is adopted, and the technical effect of comprehensively monitoring the cardiopulmonary function state of the user in real time is achieved.

The invention relates to the technical field of medical rehabilitation, in particular to a lung rehabilitation training auxiliary system based on virtual reality. Comprising an equipment wearing module, an education module, a virtual scene generation module, a rehabilitation training scheme customization module, a data acquisition and monitoring module, a real-time feedback and guidance module, a training data recording and analysis module and a user interaction and management module. The motion sensing device, the respiration monitoring device and the like are utilized, by means of the interaction function of the motion sensing device, the respiration monitoring device and the like, limb actions and respiration conditions of a patient are captured in real time, interaction with elements in the virtual environment is carried out, real-time feedback and accurate guidance of training actions and respiration states of the patient are achieved, the training interestingness is greatly improved, and the training effect is improved. And the lung rehabilitation training auxiliary system based on virtual reality customizes personalized rehabilitation training schemes fitting own conditions for different patients, training item selection, intensity arrangement, frequency setting and the like can be varied from person to person, and the promotion effect of rehabilitation training on lung function recovery is played to the maximum extent.

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 discloses a traditional Chinese medicine composition for treating acute exacerbation of chronic obstructive pulmonary disease, which is prepared from the following raw materials in parts by weight: 6-9 parts of honey-fried ephedra, 30-40 parts of gypsum, 6-9 parts of fried semen armeniacae amarae, 9-15 parts of fructus perillae, 9-15 parts of semen lepidii, 9-15 parts of radix asteris, 9-12 parts of radix peucedani, 9-12 parts of cynanchum glaucescens, 9-15 parts of thunberg fritillary bulb, 9-15 parts of honey-fried folium eriobotryae, 6-12 parts of rhodiola rosea and 6-9 parts of liquorice. Through scientific compatibility of the traditional Chinese medicine raw materials, clinical symptoms of patients in the acute exacerbation period of the chronic obstructive pulmonary disease can be effectively relieved, the acute exacerbation frequency and degree of the patients with the chronic obstructive pulmonary disease are reduced, and lung function decline is delayed. The traditional Chinese medicine composition is free of toxic and side effects and has the advantages of being good in curative effect, fast in effect taking, high in medicine effect, not prone to relapse and the like in the aspect of treating chronic obstructive pulmonary acute exacerbation.

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 belongs to the technical field of lung function nursing, and discloses a nursing device for improving lung function after thoracic surgery, comprising: a back plate, two sides of the lower end of the back plate are respectively provided with an air filter box and a waste liquid inbox; an outlet of the air filter box is connected with a breathing mask through a hose; a mouthpiece is fixedly arranged on the breathing mask; a suction pump is arranged on the waste liquid inbox, the input end of the suction pump is communicated with a sputum suction pipe, and the sputum suction pipe is in sliding connection with the breathing mask; elastic ropes are fixedly arranged on the two sides of the lower end of the back plate, handles are fixedly arranged at the outer ends of the elastic ropes, and a monitoring mechanism is fixedly arranged on the back plate. The device can be conveniently used when a patient lies in bed, the device can be fixed to the back through the shoulder buckle belt and the waist buckle belt, the patient can hold the handles with two hands to stretch the elastic rope to conduct chest expanding training, the comprehensive evaluation module comprehensively evaluates the physical condition and the lung function condition of the patient, the drainage monitoring module monitors the drainage condition, and the risk prediction module conducts risk prediction.

The invention discloses an application of phenyllactic acid or a composition containing phenyllactic acid in preparation of medicines for relieving lung diseases, and in the application, the lung diseases are preferably pulmonary fibrosis or acute lung injury. In an acute lung injury research model, phenyllactic acid can effectively intervene in the inflammatory factor cascade reaction and oxidative stress injury process, and acute lung injury symptoms caused by the factors are remarkably improved. Compared with the traditional treatment means, the experiment proves that the phenyllactic acid or the composition containing the phenyllactic acid can obviously relieve the symptoms of acute lung injury (ALI) of mice induced by lipopolysaccharide (LPS) and pulmonary fibrosis (PF) of mice induced by bleomycin, the pathological change of the lung is effectively improved, and the lung function is recovered.

The invention relates to the technical field of rehabilitation assistance, in particular to an intelligent breathing assistance system for lung rehabilitation, comprising: a breathing part, the breathing part comprising a breathing cylinder, the breathing cylinder comprising a fixed cylinder and a folding cylinder, the fixed cylinder being internally provided with an auxiliary assembly; the wearing part comprises a chest cover and an abdomen cover, a connecting channel and a vibration channel are formed in the chest cover, an air bag is embedded in the abdomen cover, and a vibration phlegm eliminating assembly is arranged in the vibration channel; the thoracico-abdominal movement mode recognition unit is used for detecting a breathing mode of a user; the lung function detection unit is used for calculating and detecting the tidal volume of a user; the personalized training control unit is used for adjusting breathing resistance according to the tidal volume and breathing modes, according to different breathing modes of users, the breathing assisting force is adjusted through kinetic energy of gas exhaled by the users, key parameters such as the tidal volume and the recovery condition are monitored in real time, the lung rehabilitation effect is further improved, and the lung rehabilitation effect is improved. And more accurate and effective breathing adjuvant therapy is realized.

The invention belongs to the technical field of medicine, and particularly relates to a method and application for evaluating the respiratory muscle movement function of an IPF patient based on dynamic MRI. Performing dynamic MRI processing on the to-be-tested person to obtain a lung dynamic MRI image; manually marking and segmenting an end-expiratory image and an end-inspiratory image on the lung dynamic MRI image along the inner edge of the thoracic cavity outline, and checking and correcting; obtaining evaluation parameters of chest wall movement and evaluation parameters of diaphragm movement and form by using the images; measuring parameters are analyzed, and the pulmonary fibrosis degree and pulmonary vessel and chest wall muscle parameters of the HRCT image are quantified; and comparing and statistically analyzing the parameters of different to-be-tested persons so as to evaluate the respiratory muscle movement function of the IPF patient. The dynamic MRI technology is adopted, and a quantitative basis is provided for evaluating the respiratory muscle dysfunction and severity of the IPF patient.

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 disclosure relates to a lung function detection method, system and apparatus, and to a computer device and a storage medium. The method comprises: acquiring chest and abdomen surface point cloud data of a subject under test within a preset time period by means of a biological detection sensor; analyzing the chest and abdomen surface point cloud data, and determining lung ventilation change information of the subject under test; and according to the lung ventilation change information, determining a lung function detection result of the subject under test. The biological detection sensor is arranged within a preset range around the subject under test but does not come in contact with the subject under test.

The utility model discloses a respiratory nursing lung function rehabilitation training device, and relates to the technical field of medical equipment. The device comprises a base, a connecting cylinder is fixedly connected to the upper surface of the base, a connecting plate is fixedly connected to the top end of the connecting cylinder, a connecting block is fixedly connected to the top of the connecting plate, a ventilation groove is formed in the connecting block, a breathing hose is fixedly connected to the position, close to the bottom, of the outer surface of the connecting cylinder, and a bottom plate is placed in the connecting cylinder; a top plate is arranged on the upper surface of the bottom plate, and two ends of a spring are fixedly connected between the bottom plate and the top plate. According to the breathing training device, through the installed air filter element, when a patient exhales into the training device, air can be blown into the connecting cylinder from one side of the spring, then enters the air filter element from one circle of the edge to be filtered, and then comes out of the middle of the air filter element to flow into the ventilation groove, so that the exhaled air is filtered; furthermore, the quantity of germs in exhaled air is greatly reduced, and the sanitary condition of the device in use is optimized.

The invention relates to the technical field of lung function testing, in particular to a lung function testing system based on pulse oscillation. According to the designed system, efficient coordination and automatic control among the modules are achieved through the core function of the comprehensive control end, the whole process from signal generation to data processing and output display is highly integrated and automatic, particularly, in the aspect of data analysis, the spectrum analysis technology and a parameter calculation unit are introduced, and the data analysis efficiency is improved. Different components of respiratory impedance can be accurately separated and calculated, and key parameters are extracted, so that more detailed and accurate lung function evaluation is provided, the automation degree and data analysis of the system are remarkably improved, related technical requirements are met, and the system is suitable for large-scale popularization and application. The technical problem that an existing pulse oscillation lung function testing system still needs to be improved in the aspects of automation degree and data analysis is effectively solved.

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 relates to the technical field of medical care information processing, and particularly discloses a pulmonary nodule risk prediction system and method for a patient with chronic obstructive pulmonary disease, and the system comprises a historical examination data acquisition module which collects multiple CT examination data, lung function data and lung quantitative data of the patient with chronic obstructive pulmonary disease; the growth inflection point recognition module recognizes a pulmonary nodule growth inflection point of the patient; the risk prediction model building module builds a pulmonary nodule risk prediction model; the current patient risk prediction module inputs the current CT examination data, the current lung function data and the current lung quantitative data of the to-be-detected patient into the pulmonary nodule risk prediction model to obtain a current pulmonary nodule risk prediction result of the to-be-detected patient; the review time recommendation module obtains review recommendation time of the patient to be detected based on the current pulmonary nodule risk prediction result of the patient to be detected and a preset review time recommendation model, effective prediction of the pulmonary nodule risk of the patient with chronic obstructive pulmonary disease is achieved, and an important basis is provided for early diagnosis and treatment.