26 results about "Respiratory failure" patented technology

The invention discloses an EIT-based respiratory muscle force and lung compliance closed-loop evaluation system, which is characterized by comprising a multi-frequency EIT injection / sampling unit, a signal processing unit and a signal processing unit, a pressure measurement and synchronization unit; an FPGA clock synchronization triggering unit; an EIT preprocessing unit; a compressed sensing reconstruction unit; a [delta] Z-Pressure fitting unit is adopted; a feature extraction unit; a control decision unit; and the self-adaptive NMES participates in a trend recording unit. According to the method, advanced technologies such as multi-frequency EIT, compressed sensing reconstruction, machine learning fitting, fuzzy + PID mixed control and federated learning are integrated, a new normal form for closed-loop evaluation and optimization of respiratory muscle force and lung compliance is created, and the method has great clinical value for rehabilitation of diseases such as COPD and neuromuscular respiratory failure.

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

The embodiment of the invention provides a respiratory failure treatment scheme recommendation method and system based on artificial intelligence, and the method comprises the steps: obtaining the first multi-modal medical collection data of a target object, and enabling the first multi-modal medical collection data to comprise text modal data and image modal data; the text modal data comprises physiological feature data, basic disease data and blood gas analysis data; data preprocessing operation is conducted on the first multi-modal medical collection data, second multi-modal medical collection data are obtained, and data preprocessing comprises data cleaning, normalization processing and time window alignment processing. And extracting a medical feature vector set of the target object from the second multi-mode medical collection data. And performing classification processing on the target object according to the medical feature vector set, and determining an object treatment category label of the target object. And according to the object treatment category label, a recommended treatment scheme of the target object is determined, so that the efficiency and accuracy of determining the respiratory failure treatment scheme are improved.

To provide a pharmaceutical composition for use in administering oxygen to a subject, a kit, an administration control device, and an administration method.SOLUTION: Provided is a pharmaceutical composition comprising a perfluorocarbon having oxygen dissolved therein, for use in administering oxygen to a subject. Also provided is a pharmaceutical composition comprising a perfluorocarbon for use in lowering the partial pressure of carbon dioxide in the blood of a subject.SELECTED DRAWING: None

The present invention discloses a bidirectional forced pulmonary circulation oxygen supply machine, which relates to the technical field of medical equipment. The key points of its technical solution are as follows: It includes a main body, a high-pressure circular air supply chamber, a negative-pressure circular waste gas recovery chamber, an air supply source for gas transmission, a rapid vacuum pump, a gas guiding pipeline, a gas transmission pipeline, a three-way pipe, an exhaust port, an air intake pipeline, a waste gas recovery pipeline, a connecting pipeline, a respiratory connection part, an intake throttle valve, an outlet switch control valve, an outlet throttle valve, a negative-pressure chamber intake throttle valve, an intake switch control valve, a negative-pressure chamber outlet throttle valve, a pressure control valve, a control processor, a timer, a power storage device, a start control switch, and a manual control regulation board. The present invention can not only provide oxygen inhalation for patients, but also, for patients with respiratory failure, when they are about to lose their respiratory function, force the patients to perform the inhalation function and the exhalation function, thereby forcing the lungs of the patients to expand, which is equivalent to performing cardiopulmonary resuscitation from the patient's body, facilitating the improvement of the rescue success rate of the patients and enabling the patients to obtain the best rescue effect.

Disclosed herein are methods for treating acute respiratory distress syndrome, lung injury, respiratory failure, and associated conditions using activators of Tie-2 and inhibitors of HPTPβ. The methods include reducing vascular leak and permeability, reducing edema, reducing inflammation, and increasing oxygen exchange capacity in the lungs.

The inventions are intended for stopping or slowing the progression of the acute phase of ischemic stroke, coronary failure and respiratory failure, and for saving injured and wounded persons suffering from heavy blood loss. A medicinal agent according to a first embodiment contains from 40 to 50 vol % helium, from 25 to 35 vol % argon, from 0.2 to 5 vol % xenon, from 2 to 10 vol % krypton, and not less than 21 vol % oxygen, to a total of 100 vol %, and the temperature of the gas mixture is 30-70° C. A medicinal agent according to a second embodiment contains from 21 to 60 vol % oxygen, from 0.2 to 35 vol % xenon, from 0.2 to 35 vol % krypton, or from 21 to 60 vol % oxygen, xenon in a concentration range of from 0.2 to 35 vol %, from 0.2 to 35 vol % krypton, and the remainder argon in an amount of not less 25 vol %, and the temperature of the gas is 15-70° C. The claimed device is characterized by a mask 1 connected to a breathing bag 7 and to a canister 12 containing an argon-xenon-krypton gas mixture, with a three-way valve for alternately supplying gases to the breathing bag 7, the device being further equipped with a canister 9 containing a helium-oxygen-argon-xenon-krypton gas mixture and having a valve mounted thereon with a manometer that is connected to the mask to permit a supply of the gas mixture directly into the mask 1, and a chemical or electric heater 11 with a connecting heat exchange line.

1. The name of this design product: Portable ventilator. 2. Purpose of this design product: This design product is used for the prevention and treatment of respiratory failure and spontaneous ventilation equipment. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The present invention relates to a compound of formulas (II) to (V). It also relates to a pharmaceutical composition comprising at least one compound of formulas (II) to (V) and at least one pharmaceutically acceptable support. Finally, it relates to the use of such a compound as a medicine, preferably in the treatment of a nervous and / or respiratory failure due to intoxication with at least one organophosphorus nerve agent by reactivation of hAChE; in the treatment of neurological diseases such as Alzheimer's disease; and / or in the treatment of cancer.

The invention provides a wearable early-stage deterioration early warning system and application, and belongs to the technical field of medical auxiliary equipment. A first electrode group, a second electrode group, a photoelectric volume pulse wave sensor and an inertial measurement unit are integrated on a wearable vest of the system, and the wearable vest is used for synchronously collecting thoracic impedance, thoracic and abdominal movement impedance, oxyhemoglobin saturation and trunk movement data; the edge computing gateway carries out signal preprocessing; the feature extraction module is used for extracting respiratory rate, tidal volume trend, thoracico-abdominal respiration asynchronism index, blood oxygen trend and activity state; the hospital information system interface obtains a medication record; the context-aware risk assessment module fuses the multi-dimensional parameters and the clinical context to generate a risk score; and the early warning generation module triggers graded early warning according to the score and automatically integrates the graded early warning to the hospital clinical workflow. According to the method, the early-stage decompensation trend of the non-asthmatic respiratory failure can be continuously and specifically recognized, closed-loop management from risk recognition to intervention is realized, and the clinical response efficiency is improved.

The present invention relates to the use of bacterial compositions having an arginine deiminase activity (inhibition of nitric oxide synthase by conversion of L-arginine to L-citrulline) of 1-1,000 μmol L-citrulline / h / g composition and a sphingomyelinase (ceramide generation) activity of 0.01-1.000 nmoles ceramides / h / g composition in the treatment and / or prophylaxis of airway diseases caused by viruses such as influenza viruses, coronaviruses, as SARS-CoV, MERS-CoV and SARS-CoV-2, avian viruses, respiratory syncytial virus (VRS), rhinoviruses, pneumoviruses, or respiratory failure induced or aggravated by viral infections, angina pectoris, pulmonary heart, respiratory distress, pulmonary edema, neonatal asphyxia, myocardial infarction, heart failure, respiratory failure Pickwick syndrome, pulmonary hypertension, pneumonia or even cystic fibrosis (CF) aggravated by viral infections.

The utility model discloses a training device for preventing respiratory failure, which comprises an upper training cylinder, a breathing hose, a lower training cylinder, an air delivery cylinder and a plurality of groups of transparent cylinders, plastic floating balls are arranged at the bottoms of the transparent cylinders, the plastic floating balls and the transparent cylinders are arranged in a one-to-one correspondence mode, and a connecting mechanism is arranged on the left side of the upper training cylinder. The connecting mechanism comprises a blocking cover, a fixing block, a vertical rod and a fixing groove, an up-down sliding structure is formed between the blocking cover and the vertical rod, and an L-shaped movable plate used for limiting is arranged on the outer side of the vertical rod. The training device for preventing the respiratory failure is convenient to carry, the training device can be conveniently detached, cleaned and disinfected, a plastic floating ball ascends and descends in a transparent cylinder, the training condition can be conveniently and visually observed, the breathing and inspiration training can be achieved by positively placing and inversely placing a respirator, and the training device is convenient to use and high in practicability. And the size of the outlet of the exhaust port can be conveniently adjusted, so that the impedance can be adjusted.

The invention relates to the technical field of remote monitoring, and discloses a breathing detection method based on a thermal tidal effect, and the method comprises the steps: fixing a breathing tube at a junction of a nasal cavity of a corresponding patient of a target patient and external air, so as to collect a tube wall temperature change signal of the target patient through a thermal sensor corresponding to the breathing tube; converting the pipe wall temperature change signal into an electric signal, and denoising the electric signal to obtain a denoised electric signal; calculating the power spectrum density of the de-noised electric signal to dynamically filter the de-noised electric signal to obtain a filtered electric signal; generating intermediate information of the filtered electric signal, and calculating waveform continuity of the intermediate information to construct a breathing curve of the target patient; and analyzing the respiratory failure coefficient of the target patient, constructing multi-stage early warning parameters of the target patient, and executing respiratory detection early warning of the target patient based on the multi-stage early warning parameters. The accuracy and efficiency of respiration detection can be improved.

The invention relates to organic chemistry, pharmacology and medicine and concerns novel antiviral peptides. The claimed peptides are characterized by a high level of antiviral activity and show promise for use in the treatment of infectious diseases caused by a viral infection, inter alia, diseases caused by SARS-CoV-2 such as, for example, a simple infection (such as a fever, a cough and / or a sore throat), pneumonia, acute or severe respiratory infection, hypoxic respiratory failure, acute respiratory distress syndrome, sepsis or septic shock and, in particular, COVID-19.

The invention relates to the technical field of medical instruments, and discloses a respiratory failure noninvasive ventilation assisting device which comprises a breathing mask, an L-shaped elbow, a corrugated pipe and a detachable supporting assembly, the forehead area and the nose wing area of the breathing mask are provided with liquid bags communicated through a catheter, and the liquid bags are filled with incompressible fluid and matched with a nose bridge receding part and a flexible film; and a multi-head spiral flow guide rib and a central flow guide pipe are arranged in the L-shaped elbow, and condensate water is efficiently separated and collected by utilizing the rotating centrifugal force of air flow and the gravity self-balancing characteristic of the eccentric liquid storage bin. The detachable supporting assembly drives the connecting rod structure through the rotating ring in the annular pipe to drive the head profiling roller to radially clamp the corrugated pipe. The problems that pressure sores are easily caused by long-term wearing of the mask, condensate water flows backwards and is sucked mistakenly, air tightness is invalid due to pipeline gravity dragging and the like are solved, and the safety and comfort of ventilation treatment are improved.

1. The name of the design product: folding respirator. 2. The use of the design product: providing lung ventilation for patients with sudden breathing difficulty or respiratory failure when artificial first aid is implemented in the case of incomplete power supply and emergency. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a low-fatigue multi-mode external diaphragm pacemaker based on electrocardiosignal feedback, and belongs to the field of respiratory function rehabilitation electrical stimulation treatment instruments. By integrating electrocardiosignal acquisition and electrical stimulation functions, high-frequency (kHz) current stimulation pulses can be output to reduce diaphragm fatigue, the physiological state of a patient is monitored in real time, stimulation parameters are dynamically adjusted according to information such as respiratory rate and heart rate, and a low-fatigue, personalized and low-cost respiratory assistance solution is provided. The method is expected to generate positive influence in the aspects of adjuvant therapy of respiratory failure, respiratory muscle function recovery training, rehabilitation management of chronic obstructive pulmonary disease (COPD), treatment of respiratory disorders related to neuromuscular diseases and the like, and provides better support and help for patients and doctors. And new ways and possibilities are provided for research and treatment of respiratory system diseases and related neuromuscular diseases in the future.

The embodiment of the application provides a respiratory failure treatment scheme recommendation method and system based on artificial intelligence, which obtains first multi-modal medical collection data of a target object, the first multi-modal medical collection data comprising text modal data, image modal data, the text modal data comprising physiological characteristic data, basic disease data and blood gas analysis data; performs data preprocessing operation on the first multi-modal medical collection data to obtain second multi-modal medical collection data, the data preprocessing comprising data cleaning, normalization processing and time window alignment processing. A medical feature vector set of the target object is extracted from the second multi-modal medical collection data. Classification processing of the target object is performed according to the medical feature vector set to determine an object treatment category label of the target object. According to the object treatment category label, a recommended treatment scheme of the target object is determined, thereby improving the efficiency and accuracy of determining the respiratory failure treatment scheme.

The present disclosure relates to methods of detecting free (active) LIGHT in biological samples to diagnose conditions associated with elevated free LIGHT, as well as to predict the effectiveness of anti-LIGHT therapies. The disclosure also relates to treating such conditions with anti-LIGHT antibodies. Conditions include acute lung injury (ALI) and acute respiratory distress syndrome (ARDS), optionally wherein the ALI and ARDS are associated with viral infection, including coronavirus infection. Conditions also include Crohn's Disease or an inflammatory condition associated with Crohn's Disease.

The present application aims to develop an animal model which can focus on the classic symptoms of chronic obstructive pulmonary disease combined with respiratory failure, and can well evaluate the efficacy of chronic obstructive pulmonary disease combined with respiratory failure. The present application induces a short-time high-efficiency, good operability and repeatability, stable and unified, more close to clinical rat model of chronic obstructive pulmonary disease combined with respiratory failure by sodium periodate and p-hydroxybenzyl alcohol injection + benzene sulfonic acid gavage + low oxygen restraint + cold and hot stimulation. The chronic obstructive pulmonary disease combined with respiratory failure induced by multiple factors can better simulate the signs of human chronic obstructive pulmonary disease combined with respiratory failure. The modeling method is short-time high-efficiency, simple operation, stable and reliable, good universality, close to clinical.

The present invention relates to a composition, preferably a nutraceutical composition, for use in a method of treatment of subjects over 50 suffering from chronic fatigue, particularly due to: arthritis / chronic arthritis; heart disease; post-operative convalescence; depression; diabetes; fibromyalgia; chronic rheumatic diseases; stroke; cerebral ischemia; respiratory failure; chronic respiratory disease; allergic diseases; overweight / obesity; drug use, wherein said subjects are not suffering from Long-Covid / fatigue post Covid-19 syndrome.

The application provides an acute respiratory failure detection device based on oral-nasal airflow signals. It is applied to the medical and health field. The operation of the device includes: obtaining the airflow signals of the oral-nasal of the measured person; extracting the time-frequency domain features, time domain features and frequency domain features of the airflow signals respectively; inputting the extracted time-frequency domain features, time domain features and frequency domain features into the pre-trained feature extraction neural network respectively to obtain the deep time-frequency domain features, deep time domain features and deep frequency domain features; performing feature fusion on the deep time-frequency domain features, deep time domain features and deep frequency domain features, and inputting them into the pre-trained classification neural network to obtain the dense classification probability; selecting the disease stage category c of the acute respiratory failure with the maximum probability at each time t in the dense classification probability. The application realizes convenient, safe and accurate detection of acute respiratory failure.

This utility model discloses a nasal oxygen inhalation tube, including an oxygen supply hose with an inlet end connected to an external oxygen supply device and a nasal prong for insertion into the patient's nasal cavity. The rear end of the nasal prong is connected to the oxygen supply hose, and the front end has an outlet. An annular air bag is located inside the nasal prong. A regulating trachea is located near the nasal prong inside the oxygen supply hose. The outer diameter of the regulating trachea is smaller than the inner diameter of the oxygen supply hose. The proximal end of the regulating trachea is connected to the air bag, and the distal end extends outside the oxygen supply hose and is connected to a pressure bulb. This utility model provides a nasal oxygen inhalation tube that can reduce nasal bleeding during nasal oxygen inhalation, and is therefore particularly suitable for patients with heart failure or respiratory failure requiring prolonged nasal oxygen inhalation.

This invention relates to the field of data fusion technology, specifically to a multi-center respiratory parameter fusion risk assessment method for patients with respiratory failure. It includes the following steps: acquiring multi-center time-series clinical data and initializing a reliability index; performing perturbation separation processing based on the reliability index and center difference characteristics to reconstruct the true physiological estimate; dynamically updating the reliability index based on intervention response consistency; performing multi-parameter coupled state analysis to invert latent state variables, detecting logical conflicts between information from different sources and performing hierarchical adjudication to determine the final parameter set; parallel calculation of multiple risk components and dynamic adjustment of weights, outputting the risk assessment result. This method achieves dynamic decoupling between observed values ​​and true physiological signals through multi-source perturbation decomposition and reliability feedback adjustment, and provides interpretable and highly robust risk assessment results through conflict adjudication and multi-path risk fusion.

The application provides a respiratory failure acute exacerbation prediction method and system based on multi-data fusion analysis and deep learning, comprising: updating the disease fluctuation variance according to local correction to output, adopting a support vector machine to classify the disease fluctuation variance level to determine a prediction step selection value; after obtaining the prediction step selection value, fusing historical cache features, if the prediction step selection value is a short step, adjusting the cache window setting to expand to a twelve-hour range to obtain fused window data; calculating and updating the data dimension for the fused window data, judging the key node trigger timing by random forest evaluation of the degree of multi-source information fusion; adopting a conflict resolution sequence to reset the cache window, obtaining the expanded window data to judge whether the window expansion requirement meets the global self-adaptive requirement to obtain the final prediction result; verifying the matching degree of the disease fluctuation variance and the prediction step selection through the final prediction result, and determining the confirmation signal that the overall execution conflict has been resolved.

Breathing is fundamental to life. Continuous monitoring of respiratory rate and pattern is crucial for detecting the onset of respiratory failure; however, this vital sign cannot be monitored in most hospital wards. Respiratory distress is caused by dysfunction of oxygenation (insufficient oxygen intake) or dysfunction of ventilation (insufficient carbon dioxide removal). This invention discloses a method and apparatus for monitoring respiratory rate by extracting information from chest acceleration, electrocardiogram, and breath sounds. The invention also discloses a method for quantifying the degree of respiratory deterioration by defining a smart respiratory index, which is defined by combining at least three parameters extracted from physiological measurements such as electrocardiogram, breath sounds, and chest acceleration. These methods are implemented by a small wireless patch attached to the upper part of the patient's chest and communicate with external proprietary software and a monitor via Bluetooth.