8 results about "Respiratory failure" patented technology

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 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.

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 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.

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.