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41 results about "Copd patients" patented technology

There is a wide variation in how quickly the disease progresses. In many patients, COPD can get to the point that it severely limits activity and reduces quality of life. Other diseases like heart disease, depression, anxiety and osteoporosis are common in patients with COPD and can also affect quality of life.

Traditional Chinese medicine composition for treating stationary-phase COPD (chronic obstructive pulmonary disease)

The invention provides traditional Chinese medicine composition for treating the stationary-phase COPD (chronic obstructive pulmonary disease). The composition comprises raw materials in parts by weight as follows: 47 parts of codonopsis radix, 59 parts of light wheat, 35 parts of fried largehead atractylodes rhizome, 23 parts of prepared pinellia tuber, 47 parts of dried tangerine peel, 35 parts of perilla fruit, 35 parts of divaricate saposhnikovia root, 35 parts of poria cocos, 59 parts of raw coix seed, 35 parts of honey-fried common coltsfoot flower, 35 parts of baical skullcap root, 35 parts of bulbus fritillariae pallidiflorae and 35 parts of honey-fried loquat leaf. The traditional Chinese medicine composition can prolong the second-time acute exacerbation time interval of a COPD patient by 77.68 days, decrease acute exacerbation times by 1.46 times per half a year, shorten the acute exacerbation duration by 2.93 days, decrease mMRC and CAT scores, improve clinical symptoms such as coughing, expectoration, shortness of breath, spontaneous perspiration, lacking in strength and the like, and enhance the exercise tolerance (that is, the 6MWD is increased). The composition has no side effect in a taking process of the clinical patient, so that the composition is a safe and effective prescription for treating the stationary-phase COPD.
Owner:HUBEI BIO PHARMA IND TECHCAL INST

COPD disease auxiliary diagnosis monitoring system based on big data

The invention provides a COPD disease auxiliary diagnosis monitoring system based on big data, and the system comprises an acquisition module, a subset generation module, a calculation module and a monitoring device. The acquisition module is used for acquiring COPD disease data in a database, and the COPD disease data comprises COPD patient information and COPD patient clinical information; the subset generation module is used for obtaining a first number of disease features in the COPD disease data and obtaining a feature subset through an MDF algorithm; the calculation module is used for classifying the feature subsets based on a first algorithm and outputting a judgment result; the monitoring device is used for monitoring the physical signs of the patient in real time and comprises a lung monitoring unit and a nail monitoring unit. According to the invention, multi-dimensional data features can be mined; a COPD disease analysis algorithm is designed for deep learning, a COPD diagnosis model is optimized, and the system is applied to clinical auxiliary diagnosis, is an approach for applying medical big data to COPD clinical auxiliary diagnosis, and has great significance in perfection, development and practicability of an information system data model in the medical field.
Owner:CHANGZHOU INST OF LIGHT IND TECH

An intelligent dynamic blood oxygen monitoring method

The invention provides an intelligent dynamic blood oxygen monitoring method. The method comprises the steps of arranging a blood oxygen finger sleeve, placing a finger of a human body between an infrared transmitting tube and an infrared receiving tube, and collecting the blood oxygen information of the human body through the combination of the infrared transmitting tube and the infrared receiving tube; setting a monitoring body, transmitting the blood oxygen information of the human body collected by the blood oxygen finger sleeve to the monitoring body for processing via a transmission cable and displaying the information via a display panel; setting a remote control terminal, and controlling a detection body to operate or receiving display signals sent by the detection body for processing to form diagnosis evaluation. The method can preliminarily screen patients with sleep apnea, can compare pre-treatment and post-treatment blood oxygen effects of patients and perform reexamination, can perform continuous evaluation and detection on treatment effects before using a breathing machine and after using a breathing machine of COPD patients and can guarantee long-time effective treatment of patients with sleep disordered breathing and the COPD patients; on the condition that some places are inconvenient, the remote control terminal can be utilized to perform processing and analysis conveniently according to data, so that the operation is more flexible.
Owner:GUANGDONG EDA MEDICAL TECH CO LTD

Uygur medicinal material composition and preparation method and application thereof

The invention relates to the technical field of preparation of Uygur medicinal material compositions, in particular to a Uygur medicinal material composition and a preparation method and application thereof. The raw materials of the Uygur medicinal material composition include, in parts by weight, nepeta bracteata and Iris halophila Pall. roots. The preparation method of the composition comprisesthe following steps: step 1, adding water to nepeta bracteata and Iris halophila Pall. roots of the required amount, performing reflux extraction so as to obtain a distillate and an extract, and thenfiltering the extract; step 2, adding water to the medicine dregs obtained after filtration in the previous step, performing reflux extraction continuously, filtering the extract, merging the two filtrates, and performing concentration so as to obtain a concentrated solution; and step 3, adding ethanol to the concentrated solution obtained in the previous step, performing still standing for 8-12 h, then removing the ethanol so as to obtain an alcoholized solution, adding the distillate obtained in the step 1 to the alcoholized solution, and performing mixing so as to prepare the Uygur medicinematerial composition. Through the Uygur medicine material composition, the lung function of COPD patients can be improved effectively, airway inflammatory factors can be reduced significantly, a significant curative effect is achieved during inflammation antagonism, and a new way is provided for treatment of COPD.
Owner:新疆维吾尔医学专科学校

Application of bronchial basal layer cells in preparation of medicine for treating COPD (chronic obstructive pulmonary disease)

The invention discloses a preparation method of clinical-grade autologous bronchial basal layer cells and application of a corresponding clinical-grade autologous bronchial basal layer cell reinfusion preparation in treatment of chronic obstructive pulmonary disease (COPD). The preparation method comprises the following steps: taking an in-vitro active bronchus brush inspection tissue, carrying out digestion treatment, and collecting cells after stopping digestion; and carrying out planking culture on the digested cells by using a culture plate paved with trophoblast cells, collecting the cells, carrying out multiplication culture on the cells by using the culture plate paved with trophoblast cells, and carrying out subculture when the cells grow to 50-90% of the surface area of the culture plate. Clinical-grade cells suitable for lung injury repair are determined for the first time, industrial preparation of the cells is achieved through the preparation process, bronchial basal layer cells meeting the clinical cell treatment number and quality can be obtained in a short time, the bronchial basal layer cells prepared through the method can be stably differentiated after entering the focus, and the treatment effect is good. The repair of the lung injury of the COPD patient is realized, and the lung function indexes such as FEV1, FEV1 / FVC, DLCO, MMEF and MVV are improved.
Owner:REGEND THERAPEUTICS CO LTD

Chronic obstructive pulmonary disease prediction method based on reconstructed airway tree images

The invention provides a chronic obstructive pulmonary disease prediction method based on reconstructed airway tree images and relates to the medical image processing technology field. The method comprises steps that firstly, multi-layer CT image files of COPD patients and healthy people from the same hospital are collected, reconstructed airway tree images of the healthy people and the COPD patients are generated, different perspectives are changed to take a screenshot of the reconstructed airway tree images of the healthy person and COPD patients, the redundant background information of theairway tree images after screenshot taking is then removed, based on the convolutional neural network, training and classification are performed, and whether a test set has some COPD patients is predicted; and lastly, cross validation of an image set after reconstructed airway tree screenshot is performed, and accuracy of the prediction result is guaranteed. The method is advantaged in that the method is taken as a technical means to initially screen the disease, the method is accurate and efficient, misdiagnosis and missed diagnosis are effectively avoided, the complex process of lung function tests is further omitted, and the workload of the hospital is greatly reduced.
Owner:NORTHEASTERN UNIV +1

A kind of traditional Chinese medicine composition for treating stable chronic obstructive pulmonary disease

ActiveCN104352884BProlonged time between exacerbationsReduce the number of acute exacerbationsPill deliveryRespiratory disorderSide effectPinellia
The invention provides traditional Chinese medicine composition for treating the stationary-phase COPD (chronic obstructive pulmonary disease). The composition comprises raw materials in parts by weight as follows: 47 parts of codonopsis radix, 59 parts of light wheat, 35 parts of fried largehead atractylodes rhizome, 23 parts of prepared pinellia tuber, 47 parts of dried tangerine peel, 35 parts of perilla fruit, 35 parts of divaricate saposhnikovia root, 35 parts of poria cocos, 59 parts of raw coix seed, 35 parts of honey-fried common coltsfoot flower, 35 parts of baical skullcap root, 35 parts of bulbus fritillariae pallidiflorae and 35 parts of honey-fried loquat leaf. The traditional Chinese medicine composition can prolong the second-time acute exacerbation time interval of a COPD patient by 77.68 days, decrease acute exacerbation times by 1.46 times per half a year, shorten the acute exacerbation duration by 2.93 days, decrease mMRC and CAT scores, improve clinical symptoms such as coughing, expectoration, shortness of breath, spontaneous perspiration, lacking in strength and the like, and enhance the exercise tolerance (that is, the 6MWD is increased). The composition has no side effect in a taking process of the clinical patient, so that the composition is a safe and effective prescription for treating the stationary-phase COPD.
Owner:HUBEI BIO PHARMA IND TECHCAL INST

A predictive method for chronic obstructive pulmonary disease based on reconstructed airway tree images

The invention provides a method for predicting chronic obstructive pulmonary disease based on reconstructed airway tree images, and relates to the technical field of medical image processing. The method first collects multi-slice CT image files of COPD patients and healthy people from the same hospital, generates reconstructed airway tree images of healthy people and COPD patients, and converts different perspectives to generate reconstructed airway tree images of healthy people and COPD patients. Take a screenshot of the airway tree image, then remove the redundant background information of the intercepted airway tree image, and perform training and classification based on the convolutional neural network to predict whether someone has COPD in the test set; finally, reconstruct the image set intercepted by the airway tree Cross-validation ensures the accuracy of the prediction results. The COPD prediction method based on the reconstructed airway tree image provided by the present invention will be used as a technical means for preliminary screening of the disease, which is accurate and efficient, and effectively avoids misdiagnosis and missed diagnosis; meanwhile, it also eliminates the need for lung function tests. The complex process greatly reduces the workload of the hospital.
Owner:NORTHEASTERN UNIV LIAONING +1
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