806 results about "Respiratory disease" patented technology

The invention discloses a pediatric abnormal breathing detection method and system based on a physiological signal, and relates to the technical field of medical information processing, and the method comprises the steps: collecting a multi-modal physiological signal, employing wavelet decomposition and a soft threshold function to eliminate noise, and outputting a preprocessing signal group in combination with morphological opening and closing operation; calculating a time domain feature, a frequency domain feature and a nonlinear feature of the preprocessed signal group, organizing the features into a three-layer pyramid structure, analyzing time sequence similarity by adopting an attention mechanism, and outputting a fusion feature sequence; and carrying out preliminary anomaly detection on the fused feature sequence, carrying out classification based on an age grouping threshold, extracting context feature vectors of windows before and after an abnormal point, and carrying out secondary discrimination to realize accurate identification and graded early warning of the respiratory anomaly. The respiration monitoring system with high reliability, high adaptability and intelligent learning ability is constructed, and comprehensive technical support is provided for early recognition, real-time early warning and intelligent diagnosis of children respiratory system diseases.

The invention provides a small sample respiratory disease pattern recognition method based on a diffusion model. The method comprises the following steps: firstly, for common respiratory disease types, collecting and classifying data of three respiratory modes: normal respiration, pause respiration and deep respiration which respectively correspond to respiratory diseases such as normal respiration, obstructive apnea and asthma in medicine; secondly, learning an internal distribution rule of data by using a radio frequency diffusion model, and generating diversified and high-quality radio frequency time sequence data on the basis of limited real samples so as to expand a data set; and thirdly, combining the generated data with real data, extracting an accurate respiration signal through a one-dimensional time sequence extraction algorithm, and converting a time sequence into a two-dimensional image by utilizing a Gramian Angle Field (GAF) method, so that the time dependency relationship of the time sequence is intuitively presented in the image. And finally, a convolutional neural network (CNN)-Transform deep learning model is adopted to carry out feature extraction and classification on the image data, and then multi-scale feature analysis and breathing mode recognition are carried out. According to the method, the recognition precision and generalization ability of the model are remarkably improved under the small sample condition, and an accurate and reliable solution is provided for non-contact breathing mode recognition.

The invention belongs to the technical field of sleep respiratory disease detection, and relates to a sleep apnea identification method based on a hybrid neural network, which comprises the following steps of: sensing human sleep in a bed surrounding environment by using a millimeter wave radar, and positioning a thoracic cavity position by adopting spatial two-dimensional analysis; the problem that interference exists in radar sign signal extraction of different targets at the same distance is solved. And a respiration signal Shannon entropy is constructed as an iterative index of the whale optimization algorithm, and the index is minimized to realize iterative optimization of variational mode extraction parameters, so that different respiration states are matched with different parameters, and thus a dominant frequency narrowband respiration signal is accurately extracted. A breathing time-frequency energy diagram obtained by data processing is used as input, and a CNN network and a bidirectional long-short-term memory module are used together to construct a feature extraction module, so that the method can recognize the change trend of frequency along with time, capture more comprehensive features, and recognize target sleep apnea more accurately. In addition, the hybrid network enables accurate classification of unmanned scenarios, apnea, hypopnea, and normal respiration.

The invention relates to the field of biological medicine, and discloses a method and system for analyzing cough sound by using disease characteristics to diagnose respiratory diseases, and the method comprises the steps: deploying a six-microphone annular array to achieve the precise positioning and triggering of a sound source; self-adaptive spectral subtraction and Wiener filtering cascade are adopted to enhance the audio; segmenting a cough segment based on energy envelope; fusing the Mel-cepstrum, the linear prediction residual error, the harmonic energy ratio and the transient zero-crossing rate to construct a pathological feature matrix; extracting local, medium-range and global time sequence features through a three-branch parallel convolutional network; inputting a disease specific classifier to discriminate asthma, pneumonia and laryngitis respectively, and applying a feature decoupling regular term to improve interpretability. The system correspondingly realizes the modularized processing flow. According to the method, the cough sound collection quality and the disease subtype recognition accuracy in a complex environment are improved, meanwhile, the thermodynamic diagram is output to assist clinical decision making, and the diagnosis credibility and practicability are enhanced.

The invention relates to the field of prevention and treatment of respiratory diseases, and discloses a preparation method of a human respiratory syncytial virus preventive mRNA vaccine. The main components of the mRNA vaccine comprise mRNA for coding an antigen and lipid nanoparticles. According to the mRNA sequence provided by the invention, an independently researched and developed 5 'UTR / 3' UTR sequence and a codon optimization mode are adopted, and efficient translation of target protein can be realized. According to the mRNA vaccine provided by the invention, RSV F protein is selected as an antigen, and the RSV F protein sequence is optimally designed, so that stable pre-fusion conformation RSV F protein can be expressed, and after a mouse is immunized, the mouse can be induced to generate high-level RSV F protein specific binding antibody titer and neutralizing antibody titer.

The invention relates to a sodium channel regulator for inhibiting Nav1.8, and provides a compound as shown in a formula I which can be used as the sodium channel regulator for inhibiting Nav1.8, and an isomer of the compound, or a pharmaceutically acceptable salt of the compound, the invention also provides a pharmaceutical composition containing the compound and the isomer thereof, or the pharmaceutically acceptable salt thereof and a carrier or excipient, and a pharmaceutical application of the pharmaceutical composition as a NaV1.8 inhibitor (such as pain, respiratory diseases, neurological disorders, mental diseases and the like).

A robust nasal organoid culture system and fully characterized 2D and 3D in vitro produced organoids are provided, as well as methods of using the organoids. The nasal organoids comprise a population of differentiated nasal epithelial cells having cellular heterogeneity and molecular markers similar to mature nasal epithelial tissue. Improved methods for producing two-dimensional and three-dimensional nasal organoids are also provided. These methods generally require a two-phase culture system, i.e., amplification and differentiation culture. The provided nasal organoids are suitable for reproducing nasal tissue complexity, for mimicking respiratory diseases, studying barrier function and drug delivery, high throughput drug screening, and assessing the effects of pathogens and environmental toxins on nasal respiratory epithelium.

The present invention relates to a pharmaceutical composition comprising a weak acid drug, with the use of a bicarbonate salt to achieve a high incorporation of the drug into the liposome and a better therapeutic efficacy. Also disclosed is a method for treating a respiratory disease using the pharmaceutical composition disclosed herein.

The present invention relates to novel compounds which are capable of inhibiting semicarbazide-sensitive amine oxidase and myeloperoxidase. These compounds are useful for the treatment of a variety of inflammatory indications, e.g., autoimmune diseases, respiratory disease, fibrosis, vasculitis, neurological diseases or disorders, and the complications resulting from infectious disease, obesity, diabetes / metabolic syndrome and / or cardiovascular disease in human subjects as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.

The invention discloses a respiratory disease oxygen precise conveying system based on a sensor, and relates to the technical field of medical equipment, and the system comprises a sensing module which integrates multiple sensors to collect and process airway and physiological data of a patient; the disease matching module identifies disease types through database comparison; the dynamic adaptation module calculates exclusive oxygen concentration based on a multi-mode fusion initial algorithm; the conveying module executes adjustment; the closed-loop feedback module continuously fine-tunes the oxygen concentration through a closed-loop stepped fine-tuning algorithm to form a closed-loop link, so that accurate dynamic control of oxygen delivery is realized; according to the invention, multi-sensor collaborative acquisition and disease precise matching are combined with a dynamic algorithm and closed-loop feedback, so that individuation and dynamic oxygen delivery are realized, the system avoids misjudgment by relying on a standardized database, and the oxygen concentration, flow and pressure are ensured to be adjusted in real time along with physiological indexes of a patient through multi-parameter collaborative adjustment and stepped fine adjustment; the treatment comfort, the effectiveness and the long-term adaptability are improved.

The invention discloses a respiratory infectious disease multi-pathogen nucleic acid detection kit based on a fluorescent PCR detection technology and application of the respiratory infectious disease multi-pathogen nucleic acid detection kit. The invention provides two detection kits aiming at 20 and 6 respiratory tract detection, the two kits can specifically detect respiratory tract pathogens, the detection sensitivity is high, the whole detection system is short in time consumption and simple and convenient in use process, and detection results of 20 pathogenic microorganisms can be reported within 40 min at the shortest; the whole set of detection kit and the detection method are high in sensitivity and good in specificity; the normal-temperature storage and transportation of the reagent can be realized.

Methods and devices for analyzing non-volatile organics in exhaled breath and other aerosols using various diagnostic tools that enable rapid, low-cost point of care assays for several diseases including respiratory tract diseases such as COVID-19. The disclosed methods and systems selectively capture non-volatile organics in exhaled breath and other aerosols in a packed bed column. The non-volatile organics are eluted and samples are analysis using diagnostic devices including MALDI-TOFMS. The disclosed systems and methods provide for a diagnostic test result in less than about 20 minutes and provides for autonomous operation with minimal human intervention.

The invention discloses an equipment invariance enhanced multi-modal deep learning model and application thereof, and the model comprises an input module, a coding module, a modal fusion module, a classification module, an equipment adversarial branch module, an output module and a final total loss function. Extracting features through a coding module to obtain audio features and text features; after the audio features and the text features are processed by the modal fusion module to obtain final joint representation, the classification module processes the final joint representation to obtain classification results and corresponding probabilities, and the classification results and the corresponding probabilities are output by the output module; the equipment confrontation branch module enables an audio encoder to confront an equipment classification head in a training stage; and finally, introducing the total loss function in a training stage to optimize the model. The model provided by the invention has the capability of realizing high-accuracy identification on various respiratory system diseases on the premise of not depending on acquisition equipment of a specific brand, and shows excellent generalization performance and robustness in multi-equipment and multi-center data.

The present disclosure provides a compound of formula H having excellent PDE4B inhibitory activity, and a pharmaceutical composition thereof and a use thereof. The compound provided by the present disclosure can be used for effectively treating PDE4-related diseases and disorders, including but not limited to inflammatory respiratory diseases, inflammatory bowel diseases, inflammatory joint diseases, inflammatory skin diseases, inflammatory eye diseases, and diseases or cancers of the peripheral or central nervous system.

The invention relates to the technical field of children respiratory diseases, and discloses an intelligent diagnosis auxiliary system and method for children respiratory diseases. The intelligent diagnosis auxiliary system comprises a physiological data acquisition module, an environmental data acquisition module, a children data analysis module and an auxiliary early warning module. According to the system, a child physiological risk coefficient is obtained by analyzing a child sleep coefficient, a child motion coefficient and a child symptom coefficient, meanwhile, all activity sites of a current child in a week and risk values in the sites are obtained, and a child environment risk coefficient is obtained through comprehensive calculation; the child physiological risk coefficient and the child environment risk coefficient are synthesized to obtain a comprehensive risk coefficient, and if the comprehensive risk coefficient exceeds a set threshold value, a part issued by a patient with the largest similar value with the comprehensive risk coefficient of the current child and the same age is taken to be displayed to a doctor. Therefore, the doctor can quickly judge and diagnose the pathogenesis of the child patient.

The present disclosure relates to a cleaner station, to which a cleaner may be coupled, and a method of controlling the same, and more particularly, to a cleaner station and a method of controlling the same, in which the cleaner station has a dust bag and a dust collection device for emptying a dust bin of the cleaner, and the cleaner station includes a bag compressing member and a bag joining device, which may reduce a volume of the dust bag by discharging air in the dust bag and compressing the dust bag, and seal the dust bag to prevent dust from scattering at the time of removing the dust bag, such that user convenience may be improved during the process of removing the dust bag, diseases such as respiratory diseases caused by dust spoilage and scattering may be prevented, and hygiene may be improved.

The invention discloses a cutting and polishing device for mold machining, and relates to the technical field of cutting and polishing devices.The cutting and polishing device comprises a cutting and polishing mechanism, the cutting and polishing mechanism is provided with a collecting mechanism, the collecting mechanism comprises a porous shell, a collecting box and a rectangular hole, and a box plate is additionally arranged at an opening of the collecting box; a perforated plate is additionally arranged in the collecting box, an annular filtering net piece is fixed in the perforated plate, a round pipe is fixed to the surface of the perforated plate, and fan blades are additionally arranged at the other end of the round pipe. The device can directly clean metal chippings, abrasive particles and dust driven in the high-speed rotating process of the cutting disc and the grinding wheel, so that the concentration of the metal chippings, abrasive particles and dust in the environment is reduced to a great extent, the probability of causing respiratory diseases of workers is reduced, the body health of the workers is guaranteed, and the working efficiency is improved. And meanwhile, the cleaning and maintaining cost is reduced, and the use efficiency of the cutting and polishing device is improved.

Novel compounds that act as antagonists to human GPR39 protein are disclosed. Pharmaceutical compositions and methods of use for antagonists to human GPR39 protein are disclosed. In particular, methods of using the antagonists in the treatment of diseases or conditions including cardiovascular conditions, endocrine system and hormone disorders, cancer disorders, metabolic diseases, gastrointestinal and liver diseases, hematological disorders, neurological disorders and respiratory diseases are disclosed herein.

The invention particularly relates to a respiratory disease diagnosis device and method, and the device comprises a respiratory sound signal collection unit which is used for obtaining a current respiratory sound signal; the breathing sound signal preprocessing unit is used for performing segmentation processing and denoising processing on the current breathing sound signal to obtain a preprocessed breathing sound signal; the feature extraction unit is used for extracting multi-modal features of the preprocessed breath sound signals; and the detection unit is used for inputting the multi-modal features into a preset deep learning network model to obtain a respiratory system disease detection result. Therefore, through multi-modal feature extraction, dynamic fusion and an efficient classification strategy, the problems of relatively low feature identification degree, relatively low disease classification accuracy and the like in the process of researching disease diagnosis based on the breath sound signals in related technologies are solved, and the detection performance of chronic respiratory system diseases based on the breath sound signals is remarkably improved.

The invention discloses a method for treating chicken chronic respiratory diseases by using MG-sEV-miRNA-200, and belongs to the technical field of exosomes, and the method comprises the following steps: step 1, constructing an MG infected cell model, and carrying out fluorescence quantitative analysis on gga-miR-200a-3p in cells / exosomes in different time periods of infection; step 2, carrying out overexpression on the miR-200 in the ACE II cells, and extracting an exosome (MG-sEV-miRNA-200) rich in the miR-200; step 3, constructing a cell model for exosome treatment, and carrying out RNA-seq sequencing to identify an exosome treatment target and a pathway rich in gga-miR-200a-3p; step 4, constructing a chick embryo model infected by MG, and injecting MG-sEV-miRNA-200 to intervene in respiratory diseases caused by MG; 5, evaluating the curative effect; mG-sEV is taken as a medium, miRNA can be protected from being influenced by RNA enzyme activity, the gga-miR-200a-3p-rich MG-sEV has the advantages of low immunogenicity, low cytotoxicity, relatively high stability, relatively high biocompatibility and the like, and the MG-sEV rich in gga-miR-200a-3p can be used for remarkably relieving lung inflammation injury caused by MG infection and reducing the bacterium carrying amount of MG in lung tissues; the method has a wide application prospect in the treatment of chicken chronic respiratory diseases.

The invention relates to the technical field of virus detection, in particular to a primer probe combination for bovine respiratory disease syndrome pathogen identification and application and a kit thereof. When the bovine viral diarrhea virus is identified, the nucleotide sequence of the upstream primer of the used primer probe group is as shown in SEQ ID No.1, the nucleotide sequence of the downstream primer is as shown in SEQ ID No.2, and the nucleotide sequence of the probe is as shown in SEQ ID No.3. The primer probe combination provided by the invention can be used for identifying and diagnosing eight common pathogens capable of causing the bovine respiratory disease syndrome at one time through a two-tube reaction system by using a fluorescent quantitative PCR method, can also be used for identifying a mixed infected sample, has the advantages of accurate identification, high sensitivity, simplicity in operation, short time consumption and the like, and can be used for detecting the bovine respiratory disease syndrome. And an effective technical means can be provided for pathogen diagnosis and disease prevention of the bovine respiratory disease syndrome in China.

The invention relates to a compound according to general formula (I), which acts as a bradykinin (BK) B2 receptor antagonist; to a pharmaceutical composition containing one or more of the compound(s) of the invention; to a combination preparation containing at least one compound of the invention and at least one further active pharmaceutical ingredient; and to said compound(s) for use as in a method of treating a skin disorder; eye disease; ear disease; mouth, throat and respiratory disease; gastrointestinal disease; liver, gallbladder and pancreatic disease; urinary tract and kidney disease; disease of male genitale organs and female genitale organs; disease of the hormone system; metabolic disease; cardiovascular disease; blood disease; lymphatic disease; disorder of the central nervous system; brain disorder; musculoskeletal system disease; allergy disorder; pain; infectious disease; inflammatory disorder; injury; immunology disorder; cancer; hereditary disease; or edema.

The utility model discloses a fuel gas heat conduction oil boiler, which relates to the technical field of oil boilers, and comprises a base, the upper side of the base is fixedly connected with a water suction pump, the input end of the water suction pump is fixedly connected with a water suction pipe, the output end of the water suction pump is fixedly connected with a plurality of supporting legs, and the upper side of the base is fixedly connected with a water inlet pipe. A boiler body is fixedly connected to the upper ends of the supporting legs, an air outlet valve is fixedly connected to the upper side of the outer wall of the boiler body, and a safety valve is fixedly connected to the upper side of the outer wall of the boiler body. Through the mutual cooperation of a filtering adsorption plate, a sliding groove, a push block, a sliding block, a limiting rod, a first spring, a first connecting plate and a U-shaped inserting plate, the filtering adsorption plate can be detached and replaced, the filtering effect of the device is improved, the emission of harmful substances in waste gas can be effectively reduced, the health of surrounding residents and workers can be protected, and the practicability is high. And respiratory system diseases or other health problems caused by inhalation of harmful gas are avoided.

The invention discloses an intelligent diagnosis and treatment integrated system for respiratory diseases, and the system comprises a data collection module which introduces a hospital information system to record clinical data, medical images and physiological signals of a to-be-detected object; the edge calculation module is used for carrying out filtering processing on the physiological signal and carrying out noise reduction and lung field segmentation processing on the medical image; the multi-modal fusion diagnosis module is used for generating disease prediction types, severity and treatment suggestions according to the clinical data, the medical images and the physiological signals, and introducing an analysis module to generate a diagnosis report; the application service module is used for providing diagnosis and treatment feedback for the doctor end, the patient end and the management end and supporting the model optimization module to dynamically optimize the multi-modal fusion diagnosis module; according to the invention, multi-modal data is deeply fused through the multi-modal fusion diagnosis module, so that the limitation of single data is overcome; therefore, the method and the device play a role in improving the diagnosis accuracy.

The invention relates to the technical field of sleep respiratory disease analysis, and discloses a method for analyzing obstructive sleep apnea. The method comprises the following steps: acquiring an original physiological signal flow which is output by a multi-channel sleep monitoring device and comprises a respiratory waveform, blood oxygen fluctuation, an electrocardio rhythm and a sound vibration signal; and then, carrying out adaptive window function segmentation and multi-resolution conversion on the original signal flow to generate a standardized multi-modal signal sequence. State decoding is carried out on the sequence through a hidden Markov model, and steady state physiological mode features and transient abnormal mode features are extracted. And fusing the steady state features and clinical archive data of the patient, calculating an apnea risk index, and forming an initial evaluation report. Meanwhile, a dynamic evolution path of transient abnormal mode characteristics is monitored, and a real-time pathology indicator in the signal is detected. And finally, a risk weight coefficient in the initial evaluation report is adjusted according to the real-time pathology indicator, and a more accurate optimization evaluation report is generated.

The invention provides a cough and asthma relieving compound medicine for nebulization treatment of a respiratory system as well as preparation and application of the cough and asthma relieving compound medicine. The cough and asthma relieving compound medicine takes various traditional Chinese medicinal materials such as ginkgo and ephedra as main raw materials, and further comprises compound bacteria, an osmotic pressure regulator and a cosolvent. The compound bacteria are prepared from cordyceps sinensis, bamboo fungus and pine olive in a specific mass ratio, the osmotic pressure regulator is prepared from glucose and glycerol in a specific ratio, and the cosolvent has multiple selectable components. The preparation method comprises a plurality of steps and unique processes including medicinal material extraction, salifying modification, ultrasonic extraction and the like. Clinical tests show that compared with a control group and a placebo group, the compound medicine disclosed by the invention can remarkably improve lung function related indexes of patients and reduce the level of inflammatory factors, and a visual simulation scoring method also proves that the compound medicine can effectively relieve symptoms of cough and asthma. The medicine can be used for preparing aerosol inhalation medicines for treating various respiratory diseases such as bronchial asthma and chronic obstructive pulmonary diseases, and has a good application prospect.

The invention belongs to the field of traditional Chinese medicines, and particularly relates to an inhalation type pharmaceutical composition for treating inflammatory respiratory diseases and a preparation method thereof. The inhalation type pharmaceutical composition comprises an active component and a nano-liposome, and mannose is modified on the surface of the nano-liposome; the active ingredients comprise bulbus fritillariae cirrhosae total alkaloids and platycodin D; the nano-liposome is prepared from the following raw materials: phospholipid, cholesterol and cholesterol-polyethylene glycol 1000-mannose ester. The liposome can be specifically recognized by a mannose receptor highly expressed on the surface of alveolar macrophage through a surface-modified mannose ligand, so that the receptor-mediated endocytosis is started, and the wrapped bulbus fritillariae cirrhosae total alkaloids and platycodin D are efficiently introduced into cells. The inhaled pharmaceutical composition of the present invention collectively pushes macrophages from a pro-inflammatory M1 phenotype to a repairable M2 phenotype. Therefore, the overall curative effect of the combination of the two components is far better than that of the independent use of any component.

The invention discloses an intelligent processing method and system for physiological data of a respiratory critically ill patient, and the method comprises the steps: carrying out the STL time sequence decomposition of a volume-time curve, obtaining the residual terms of the volume-time curve under abnormal fluctuation and no abnormal fluctuation, and judging whether the current volume data is abnormal data or not; obtaining the possibility of abnormal tidal volume caused by airway leakage based on the residual value representation of the respiratory cycle corresponding to the obtained abnormal data on the airway pressure-time curve; and based on the possibility of the abnormal data and the possibility of the abnormal tidal volume caused by the airway leakage, obtaining the abnormal degree of the abnormal tidal volume data caused by the airway leakage, and correcting the abnormal data according to the abnormal degree of the abnormal tidal volume data caused by the airway leakage. According to the invention, the possibility of abnormal data can be accurately judged, and intelligent correction can be carried out according to the abnormal degree, so that tidal volume data closer to reality can be obtained.

The invention relates to the field of intelligent medical treatment, in particular to a percutaneous lung channel acupoint electrical stimulation optimization system based on artificial intelligence, which comprises a multi-source data acquisition module (M1), a dynamic modeling module (M2) and a self-adaptive electrical stimulation module (M3). M1, collecting lung channel acupoint skin impedance, infrared thermal imaging, respiratory rhythm and cough frequency data in real time, and generating multi-source fusion features through space-time alignment; m2, based on a deep learning model, combining with a preset database to dynamically generate an electrical stimulation parameter combination, and ensuring parameter safety through impedance calibration and constraint optimization; and M3, adjusting the stimulation intensity according to the parameters, and setting an impedance threshold to trigger power-off protection. The traditional Chinese medicine meridian theory and the AI algorithm are fused, accurate acupoint positioning, personalized electrical stimulation and dynamic safety regulation are achieved, and the respiratory system disease treatment effect is improved.

The invention provides application of tea extracellular vesicles in preparation of drugs for relieving or treating allergic respiratory diseases, and belongs to the technical field of extracellular vesicles. The invention provides application of tea extracellular vesicles in preparation of drugs for relieving or treating allergic respiratory diseases. The tea extracellular vesicles are proved to be capable of remarkably improving related symptoms of allergic respiratory diseases including allergic rhinitis, have good anti-inflammatory and immunoregulation effects, and have the application potential of being used as natural active ingredients for preparing drugs or nasal delivery preparations for treating the allergic respiratory diseases. Compared with existing hormone drugs, the tea extracellular vesicles have the advantages of being natural in source, high in safety, low in side effect and the like; moreover, the extracellular vesicles have nanoscale particle sizes, good mucous membrane permeability and bioavailability, can improve the curative effect, and are suitable for long-term intervention.