149 results about "Respiratory function" patented technology

The invention discloses a multi-source data-based medical temperature-adjusting atomization drug delivery system for the pneumology department, relates to the technical field of medical temperature-adjusting atomization drug delivery, and aims to solve the problems that the atomization effect is poor and the atomization process is not intelligent. By adjusting atomization power in different respiratory cycle stages, monitoring airway abnormity and respiratory fluctuation in real time to correct parameters and adapting temperature control and atomization components as required, medicine waste and airway stimulation can be reduced, variables such as air source fluctuation and liquid medicine viscosity can be coped, atomization stability is guaranteed, administration efficiency and safety are improved, and the method is suitable for large-scale popularization and application. The requirements of patients with weak respiratory functions are met, the basic information unit is linked with the medical history of the patients and the medicine information to determine the safe temperature, the atomization rhythm is matched in combination with the respiratory parameters, temperature deviation caused by information dispersion can be avoided, manual errors are reduced, and the medication safety is improved.

The invention discloses an intelligent nursing body position adjusting method and system based on respiratory function protection, and relates to the technical field of artificial intelligence and medical nursing. The method comprises the steps that body pressure distribution signals and respiratory thoracic impedance signals of a patient are collected in real time, a physiological data sequence is generated through Kalman filtering and wavelet fusion noise reduction, the physiological data sequence is input into a pre-trained deep learning network, and fusion feature vectors and body position performance indexes are output. And if the body position performance index is not lower than a preset threshold value, inputting the fusion feature vector into a pre-trained classification model, and outputting a classification label of the breathing state. A preset parameter optimization mapping table is inquired according to the classification labels, candidate parameter combinations sorted according to priorities are obtained, the parameter group with the highest priority is selected, a multi-motor cooperation instruction is calculated through a feedback control algorithm, and dynamic regulation and control of the bed surface are achieved. The invention aims to realize respiratory function protection and individualized nursing by sensing the respiratory state in real time, intelligently deciding and adjusting parameters, cooperatively executing control and adopting a safety protection mechanism.

Mandibular repositioning devices have a maxillary piece with a right side backmost teeth mold and / or left side backmost teeth mold and a driver flange having an anterior side with a convex curvature protruding from one or both thereof. The devices have a mandibular piece with a protrusive flange extending cranially therefrom positioned to have a posterior side engaged with the anterior side of each driver flange and with a plateau of a preselected height between the base of the protrusive flange and the tooth covering. The posterior side of each protrusive flange has a concave-to-convex curvature from a base of the protrusive flange toward a most cranial point of the protrusive flange and a convex portion of the concave-to convex curvature engages the convex curvature of the driver flange in a rest position. The plateau prevents disconnect between each protrusive flange and a respective driver flange.

The utility model discloses a rehabilitation training device for nursing chronic obstructive pulmonary disease, a pedaling device comprises a mounting frame and a linkage assembly, and the mounting frame is arranged on the other side of a support frame; the linkage assembly is rotatably arranged in the mounting frame; the breathing device comprises a breathing box, a breathing assembly, a hose and a mask, and the breathing box is arranged on one side of the top of the mounting frame; the breathing assembly is arranged in the breathing box, and the breathing assembly is connected with the linkage assembly; one end of the hose is connected with the breathing assembly; the mask is connected with the other end of the hose; the control system comprises a microprocessor, and the microprocessor is arranged in the breathing box and connected with the breathing assembly. Therefore, the device combines pedaling and breathing training, strengthens lower limb strength and improves the breathing function, the linkage assembly ensures synchronization of the pedaling and breathing training, the training effect is improved, the built-in control system monitors breathing in real time, the training intensity is automatically adjusted, safety and comfort are guaranteed, and the training effectiveness and patient compliance are improved.

The invention relates to the technical field of chronic obstructive pulmonary disease rehabilitation medical equipment and services, discloses a chronic obstructive pulmonary disease multi-mode respiratory training system based on behavioral design science, and aims to solve the technical problems that an existing respiratory training product is poor in patient compliance, poor in user experience and lack of personalized behavior guidance. The system comprises a hardware equipment cluster and a software service platform, a multi-dimensional intervention architecture is constructed based on an FBM behavior model, and closed-loop services of respiratory training, drug management, health monitoring and rehabilitation support are realized through an motivation promotion module, a capability optimization module, a multi-sensory prompt module and a data interaction module. The system effectively stimulates the training enthusiasm of a patient, reduces the operation threshold, improves the training and medication compliance, improves the respiratory function and life quality of the patient, reduces the consumption of medical resources, and has remarkable clinical application value and social and economic benefits through deep fusion of behavioral design and a multi-modal rehabilitation technology.

The invention relates to the technical field of respiratory function monitoring, and discloses a pulmonary ventilation blood flow distribution real-time monitoring method and evaluation system based on a sensor. The method comprises the following steps: acquiring multi-modal data such as a blood oxygen saturation waveform, an airflow rate waveform and a thoracic pressure waveform of a lung area; performing time synchronization processing on the data to generate a time alignment sequence; dividing the data into an inspiration phase, an expiration phase and a transition phase according to a preset rule; extracting time-frequency domain features from each phase segment, and constructing a multi-dimensional respiration feature matrix; identifying an abnormal breathing mode and marking an abnormal section through breathing phase switching frequency analysis; decomposing the normal segment feature matrix by using a lung pathological feature library to generate a pathological feature vector; a pathological feature vector is optimized through a ventilation and blood flow coupling model; and carrying out abnormal region positioning based on the lung pathology propagation network, and generating a lung partition function evaluation result. The method realizes non-invasive and real-time monitoring, and is suitable for scenes such as clinical monitoring and rehabilitation evaluation.

The invention provides a cardiac postoperative respiratory function monitoring system and method. The method comprises the steps that photoelectric volume pulse wave signals of a patient during cardiac postoperative breathing are collected through an intelligent optical sensor; extracting a heart rate variability signal of the patient, and determining a quantitative index of respiratory sinus arrhythmia of the patient through the heart rate variability signal; determining the arterial pressure variability of the patient according to the arterial pressure waveform, and fusing the arterial pressure variability and the quantitative index of the respiratory sinus arrhythmia to obtain the cardiopulmonary coupling strength; according to the cardiopulmonary coupling strength and the shallow and fast breathing index of the patient, combining a pre-trained failure prediction model during breathing machine withdrawal, outputting a failure risk value during machine withdrawal of the patient; and outputting a machine withdrawal decision support report of the patient according to the failure risk value and a preset individualized early warning threshold value. According to the scheme, the cardiac postoperative withdrawal risk can be evaluated based on the dynamic cooperation mechanism between the cardiovascular system and the respiratory system.

1. Name of the designed product: Non-invasive respirator (HepoRes R2). 2. Use of the designed product: Medical equipment for treating patients with respiratory insufficiency requiring mechanical ventilation. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

A mobile bodily imaging system for determination of a lung fluid content is provided, comprising: a stepped-frequency radar generator that generates one or more tone and transmits the one or more tone into a chest of the patient; a sparse deconvolution inversion algorithm to detect reflection points indicating tissue interfaces within the patient and create a sparsity-based image; an initial model generated using Markov Chain Monte Carlo or Deep Neural Network estimates; and a final model generated using a neural renderer, wherein the neural renderer is provided with confirmed data that permits the neural renderer to predict the form of the reflection points, wherein the neural renderer creates an image that is compared to the sparsitybased image, and wherein the neural renderer creates refined images in a number of iterations and / or based upon a predetermined threshold of a difference between the refined neural renderer image and the sparsity-based image.

The application discloses a respiratory function detection device with better sampling effect. The respiratory function detection device comprises a shell, an air inlet assembly, a collecting assembly and a control assembly. The air inlet assembly comprises a first air inlet pipe, a second air inlet pipe, a separation net and a blowing nozzle. The first air inlet pipe is connected with the second air inlet pipe. The separation net divides a gas flow channel into a front part and a rear part. The blowing nozzle is sleeved on the first air inlet pipe. The rear end of the first air inlet pipe is provided with a first air outlet. The front end of the second air inlet pipe is provided with a second air outlet. The rear side of the first air inlet pipe is provided with a first air guide pipeline. The first air guide pipeline is communicated with the gas flow channel and the first air outlet. The front side of the second air inlet pipe is provided with a second air guide pipeline. A plurality of second openings are arranged on the second air guide pipeline. The second air guide pipeline is communicated with the gas flow channel and the second air outlet. The collecting assembly is connected with the air inlet assembly. The control assembly is connected with the collecting assembly. Through the above arrangement, the sampling effect of the respiratory function detection device is better, and the measurement precision is higher.

The application discloses a kind of based on multi-mode ultrasound and image respiratory detection method and water pipe type respiratory detection device, method includes: calibration respiratory detection device, ensure that the liquid level and negative pressure in device are normal;According to the indication, exhale detection is carried out, inhaled gas enters liquid seal passage by air inlet pipe, is discharged by air outlet pipe after passing through liquid, and the gas and liquid data in device are collected, the gas and liquid data in device are stored and transmitted to cloud background;According to the indication, inhale detection is carried out, air enters liquid seal passage by air inlet pipe, is inhaled into the body of subject by air outlet pipe after passing through liquid, and the gas and liquid data in device are collected, the gas and liquid data in device are stored and transmitted to cloud background;Respiratory detection parameter is obtained using the gas and liquid data in device, and respiratory function is evaluated according to respiratory detection parameter.The application provides a kind of high-precision, high reliability, anti-interference, easy maintenance respiratory detection device and method.

The utility model discloses a portable multifunctional whistle for respiratory training, which relates to the technical field of respiratory training, and comprises a whistle body, a round hole is arranged at the lower part of the whistle body, an adjusting rod is rotatably connected in the round hole, an adjusting plate is fixedly connected on the surface of the adjusting rod, the adjusting plate is arranged in the whistle body, and the whistle body is fixedly connected with the adjusting rod. A transmission circular plate is connected to the upper end of the adjusting rod, a connecting circular plate is fixedly connected to the side surface of the transmission circular plate, and a transmission rod is fixedly connected to the lower end of the connecting circular plate. According to the portable multifunctional whistle for respiratory training provided by the utility model, the adjusting plate is arranged to rotate in the whistle body, and the rotating angle of the adjusting plate is adjusted by the transmission circular plate, so that the flow of gas capable of passing through the whistle body is adjusted, the respiratory function of a patient is trained, and the airflow is prevented from being too large or too small.

This invention discloses an intelligent respiratory function training device, method, and electronic device. The device includes a mouthpiece module and a display module. The mouthpiece module captures preset physical parameters of the user's breathing and generates corresponding electrical signal data. The preset physical parameters include airflow velocity, air pressure, and breathing pattern. The display module receives the electrical signal data in real time, preprocesses the received electrical signal data, and displays it according to a preset method. The preset method includes converting the preprocessed electrical signal data into corresponding charts and / or numerical values. By proposing a visualized intelligent respiratory function training device, it provides users with personalized breathing exercise guidance, improving the user experience.

A mechanical ventilation system comprises a plurality of ventilation therapy sub-systems. Each of the ventilation therapy sub-systems is adapted to assist a respiratory function of the patient. The system also comprises a detector of the respiratory drive of the patient, an operator interface receiving one or more control parameters, and a main controller. The main controller assigns a therapeutic contribution to each of the ventilation therapy sub-systems based on the respiratory drive of the patient and on the control parameters. The controller modulates the respiratory drive of a patient by controlling each of the plurality of the ventilation therapy sub-systems according to its assigned therapeutic contribution. Distinct ventilation therapy sub-systems may apply negative pressure on the abdomen of the patient, deliver a non-pressurizing inspiratory flow to the patient, or induce a positive pressure in the airways of the patient.

The utility model relates to an infusion port application which comprises a fixing patch and a breathable film, the fixing patch comprises a silk screen and a rubber ring, the silk screen is arranged in the middle of the rubber ring, and the breathable film covering the silk screen is arranged on the upper portion of the rubber ring. The utility model has the beneficial effects that effective ventilation gaps can be formed between skins, so that the breathing function of skin pores is not limited, a local high-humidity environment is prevented from being formed on the skins, the adverse reactions of contact dermatitis and itching of a patient are avoided, and the treatment comfort is improved; and meanwhile, the application can reach a conventional service cycle and does not need to be replaced in advance, so that the medical cost is reduced.

A respiratory function exercise device effectively solves the problems that an existing weight lifting device is prone to falling and has safety risks, and when training intensity is adjusted, a balance weight needs to be found, and operation is troublesome. Comprising an H-shaped mounting frame, mounting plates are fixed to the left side and the right side of the upper end of the mounting frame correspondingly, a plurality of mounting holes are formed in the mounting plates, moving grooves are formed in the left side and the right side of the mounting frame correspondingly, moving blocks are slidably connected into the moving grooves, and T-shaped vertical grooves with downward openings are formed in the two moving blocks correspondingly; a U-shaped weight lifting rod is slidably connected into the two vertical grooves, the rear sides of the two moving grooves are communicated through a transverse groove, the left side and the right side of the transverse groove are each slidably connected with a transverse rod, and friction blocks are fixed to the opposite ends of the two transverse rods respectively; the weight lifting rod is ingenious in structure, the initial state of the weight lifting rod can be adjusted according to the height of a patient, the comfort degree of the patient during weight lifting training is increased, upper limb muscles and respiratory muscles can be trained, the lung function is enhanced, disease recovery of the patient is facilitated, and practicability is high.

The invention relates to a peak flow velocity meter, and belongs to the technical field of medical detection. The peak flow velocity meter adopts an electronic design and can automatically judge the expiration function without looking up a table by a patient; a replaceable battery and an external charging function are realized, so that the use is convenient; the exhalation nozzle can be replaced, and forgetting to turn off an instrument power supply and incorrect installation of the exhalation nozzle are prevented through the design of the proximity switch, so that the compliance of a patient is improved. The device is low in production and manufacturing cost, small in large-batch assembly difficulty, small in measurement error, good in linearity, low in airflow resistance, good in frequency response and capable of effectively evaluating the respiratory function of a patient and facilitating chronic disease management of the patient.

1. The name of the design product: home breathing machine. 2. The use of the design product: the design product is used to improve the respiratory function of the human body and increase the lung ventilation volume. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This invention relates to the field of medical diagnostic technology and discloses a blood oxygen monitoring system that integrates sleep rhythm modeling. The system includes identifying sleep stage transition times using photoplethysmography (PPG) signals, detecting the blood oxygen saturation trough within the transition window and calculating the response lag time, and combining body movement signals to perform a reliability-weighted assessment of the lag time. This invention uses physiological rhythm transitions as a natural probe of the respiratory system's compensatory capacity, achieving dual diagnosis of sleep stage and respiratory function through a single signal. Simultaneously, it transforms body movement interference into an observation window for respiratory stress recovery capacity, significantly improving diagnostic reliability in home monitoring scenarios. The system completes core analysis at edge nodes and outputs a respiratory function assessment report that can be directly used for clinical decision-making.

The utility model discloses an auxiliary device for training a respiratory function. The auxiliary device mainly comprises a base; the breathing resistance mechanism is arranged on the base, and breathing resistance can be generated in the breathing resistance mechanism; the mouth piece is communicated with the breathing resistance mechanism through a corrugated pipe; the filtering mechanism is connected between the breathing resistance mechanism and the corrugated pipe and is used for purifying air flowing from the breathing resistance mechanism to the corrugated pipe; the supporting mechanism is arranged on the base and located between the breathing resistance mechanism and the mouth piece; wherein the supporting mechanism is provided with a platform for placing the filtering mechanism and a clamp assembly for hanging the mouthpiece; through the functions of purifying sucked air by the filtering mechanism and supporting and hanging the mouthpiece by the supporting mechanism, the technical problems that the training quality is influenced by condensed water drops in the current device for training the respiratory function and dust or other fine particles are easy to adhere to the mouthpiece are solved, the stimulation or infection of the respiratory tract is avoided, and the service life of the respiratory tract is prolonged. And pollution caused by the fact that fine particles adhere to the mouthpiece is avoided.

A method to assess the disease status, determine the mean / average control of the disease and monitor the compliance to treatment over a period of time of a respiratory disease, comprising of predicting the degree of airway inflammation and disease activity by measuring the inflammatory markers, evaluating the mucosal integrity / damage by measuring the moisture levels of the exhaled air, evaluating the breathing function and obstruction by measuring the FEV1 value, and evaluating the symptom control by determining the COPD Score.

The invention provides a thoracic surgery postoperative respiratory function rehabilitation training monitoring method and system based on the Internet of Things, and relates to the technical field of the Internet of Things. Using a multi-feature matching algorithm to generate abdominal respiration rehabilitation training guidance and lip contraction respiration rehabilitation training guidance; the method comprises the following steps: collecting training respiratory physiological data of a thoracic surgery postoperative patient in a respiratory function rehabilitation training process under abdominal respiration rehabilitation training guidance and lip contraction respiratory rehabilitation training guidance, and calculating a respiratory amplitude; when the breathing amplitude is lower than the preset postoperative rehabilitation standard breathing amplitude, intervention feedback data are obtained; performing correlation analysis on the abdominal respiration rehabilitation training guidance, the lip contraction respiration rehabilitation training guidance, the verified training respiration physiological data and the intervention feedback data to obtain a correlation analysis result; based on the result, the training progress file of the patient after the thoracic surgery is updated, and intelligent management of respiratory function rehabilitation training of the patient is achieved.

The present invention relates to an active dehumidification container having a breathing function, the container maintaining relative humidity inside a container at or below a predetermined level to prevent condensation from forming on cargo loaded inside the container. The container is provided with a ventilation module which allows air to flow in and out of the container and has a function of controlling humidity inside the container, the ventilation module comprising: a sensing unit for sensing a specific physical quantity inside the container; a valve unit for allowing air to flow in and out of the container or blocking the airflow on the basis of the physical quantity sensed by the sensing unit; a dehumidifying agent holder connected to the valve unit; and a dehumidifying member connected to the dehumidifying agent holder and having a dehumidifying agent inside such that the air outside the container, which has passed through the valve unit, undergoes a dehumidifying process before being introduced into the container.

The utility model discloses a vital capacity training device, and relates to the technical field of devices for improving the respiratory function. The device structurally comprises a cross-shaped breather pipe, the upper end of the cross breather pipe is in threaded connection with an expiration damping assembly; the lower end of the cross breather pipe is in threaded connection with an air suction damping assembly; the left side end of the cross breather pipe is provided with an air hole. The vital capacity training device with damping is formed by combining the cross breather pipe with the expiration damping assembly and the inspiration damping assembly. The whole structure is simple and reasonable, use and operation are convenient, a user can complete the whole training process only by conducting simple operation according to instructions, and complex setting or adjustment is not needed. Meanwhile, the design of the disposable breathing air nozzle is adopted, so that sanitation and safety during use each time are ensured, the risk of cross infection is avoided, and additional guarantee is provided for repeated use in public places or individuals.

The invention provides a cyclic ketone compound and a medical effect thereof, and belongs to the technical field of anesthetic drugs. The cyclic ketone compound is a compound as shown in a formula (I), or a stereoisomer thereof, or a deuterated derivative thereof, or a prodrug thereof, or a salt thereof, or a solvate thereof. It is found that the cyclic ketone compound and the prodrug thereof can significantly improve respiratory depression caused by anesthesia and / or sedative, and can improve the respiratory function in inhalation general anesthesia retaining spontaneous respiration; meanwhile, compared with sodium camphorsulfonate and oxycamphor, the compound disclosed by the invention can obviously improve respiratory depression induced by opioids at a lower dosage, the minimum dosage for inducing adverse reactions is higher, and the safety is better. The invention has a good improvement effect on respiratory depression caused by opioids and inhalation anesthetics, provides a new solution for respiratory depression caused by clinical anesthesia, and has a wide application prospect.

The invention discloses a respiration monitoring method, a respiration monitoring system and respiration monitoring equipment for a post-anesthesia monitoring ward. The method comprises the following steps: acquiring voice data when a bed shifts, and acquiring image data of an electrocardiograph monitor in real time; recognizing the voice data to obtain basic information of the patient; the basic information of the patient at least comprises the name, gender, age, oxyhemoglobin saturation and medical history of the patient; segmenting and identifying the image data to obtain electrocardiogram monitoring data; the electrocardiograph monitoring data at least comprise QRS waves, respiratory waves, respiratory frequency values and blood pressure; inputting the basic information and the electrocardiograph monitoring data of the patient into the multi-source data prediction model to obtain a respiratory function prediction result; and judging the respiratory function prediction result based on a predefined medical decision to obtain a judgment result, and sending out a voice prompt or a corresponding alarm according to the judgment result. According to the invention, the respiratory function of the patient can be monitored in real time, the risk of adverse events is reduced, the medical work intensity is reduced, and the patient management quality is improved.

1. The name of the design product: respiratory training device (COPD care). 2. The use of the design product: for respiratory rehabilitation training, improve respiratory function. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention relates to an EIT-based intraoperative respiratory function dynamic monitoring method, system and device and a medium. The method comprises the steps that individual difference data and anesthesia state initial data of a patient are collected, and preliminary ventilation distribution characteristics are obtained through processing of a self-adaptive filtering algorithm; the stability of the anesthesia state is judged based on the characteristics, if fluctuation exists, the EIT monitoring frequency is dynamically adjusted, real-time respiration signals are collected according to the adjusted frequency, local respiration change components are obtained through Fourier transform analysis, potential abnormal trend precursors are marked, the characteristics are extracted and matched with a preset target abnormal mode, and abnormal early warning signals are output if the characteristics are matched with the preset target abnormal mode; a support vector machine model is adopted to classify precursors to obtain category labels, monitoring frequency is optimized based on the labels, ventilation distribution evolution paths are extracted, signals are calibrated, recognition results are updated, and finally monitoring data are integrated to generate an analysis report. According to the method, the abnormity recognition accuracy and the early warning reliability can be improved, and the breathing function can be finely monitored in the operation.

The present application relates to the technical field of medical information monitoring, and more particularly to a non-invasive carbon dioxide partial pressure monitoring ear clip and an intelligent monitoring method thereof, comprising: determining that a trigger alarm is determined based on a theoretical carbon dioxide partial pressure value to determine that the partial pressure is unqualified; determining the content unqualified based on the evaluation concentration value; determining the alarm state according to the relationship between the first deviation value and the risk deviation value; in response to determining that the content is unqualified, determining that the second evaluation is inaccurate based on the actual standard deviation value; according to the relationship that the second deviation value is less than or equal to the second deviation threshold, the evaluation concentration value is re-determined based on the theoretical carbon dioxide partial pressure value, so as to re-determine the partial pressure qualification, and the early warning concentration range is re-determined according to the second deviation value; the present application can quickly and accurately obtain the carbon dioxide partial pressure condition through multi-parameter coupling in a non-invasive manner, and can master the alveolar ventilation function and the respiratory function in real time through the carbon dioxide partial pressure condition.

The invention belongs to the technical field of cell biology, and particularly relates to a triple co-culture cell model for respiratory function research as well as a construction method and application of the triple co-culture cell model. Based on BEAS-2B, THP-1 and MRC-5 cells, a triple co-culture cell model is constructed by adopting a Transwell three-dimensional construction mode, and a complex cell interaction environment after human respiratory tract tissues are exposed to harmful factors such as heavy metals and the like can be simulated. The constructed model is closer to a real physiological anatomical structure in structure, and the multicellular synergistic toxic reaction caused by heavy metal exposure is more comprehensively reproduced in a functional level; an integrated in-vitro model which is closer to human lung tissue in structure, covers multi-stage reaction in function, is standard and stable in operation and has multi-dimensional analysis capability in mechanism is realized for the first time, scientificity, sensitivity and practical applicability of research on respiratory system toxicity caused by heavy metal are remarkably improved, and the method has relatively high technical advancement and industrial transformation potential.