602 results about "Breathing system" 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 relates to the technical field of medical diagnosis, and discloses a blood oxygen monitoring system fused with sleep rhythm modeling, which comprises the following steps: identifying a sleep stage conversion moment through a photoelectric volume pulse wave signal, detecting a blood oxygen saturation valley value in a window after conversion, and calculating response lag duration; according to the method, the physiological rhythm is converted into a natural probe for the compensatory ability of the respiratory system, dual diagnosis of sleep staging and respiratory function is realized through a single-path signal, and meanwhile, body movement interference is converted into an observation window for the respiratory stress recovery ability. The diagnosis reliability in a home monitoring scene is remarkably improved, the system completes core analysis at an edge node, and a respiratory function evaluation report which can be directly used for clinical decision making is output.

The invention relates to the technical field of glass insulator cleaning, in particular to double-function glass insulator cleaning equipment which comprises a mounting seat, two moving seats are slidably mounted at the bottom of the mounting seat, the distance between the two moving seats can be adjusted, and cleaning sponges are mounted on the opposite sides of the two moving seats. The cleaning device can effectively wipe and clean insulators of different dead angle positions and different specifications, dust and impurities on the surface of the cleaning sponge are scraped off through rotation of the scraping blade, and therefore the cleaning effect on the subsequent insulators is guaranteed; air can be exhausted through a plurality of second exhaust holes in the periphery of a scraper to guide dust and impurities into a collecting and filtering box, in the rising process of the scraper, the dust and the impurities can be further guided into the collecting and filtering box through dust suction holes in the periphery of cleaning sponge, and the collecting effect of the collecting and filtering box on the dust and the impurities is improved; and potential safety hazards to respiratory systems of electric workers are avoided.

The invention relates to the technical field of intelligent bed early warning, and discloses an intelligent bed integrated AI monitoring and early warning method and system, and the method comprises the steps: collecting sleep-related data, and carrying out formatting and quantity stiffening processing to obtain target sleep data; constructing a sleep stage thermodynamic diagram, analyzing the sleep cycle characteristics of the intelligent bed user, analyzing the body movement frequency condition of the intelligent bed user in the sleep process by using the target sleep data, and analyzing the overall sleep characteristics of the intelligent bed user; analyzing the sleep quality of the intelligent bed user, and when the sleep quality is poor, analyzing cardiovascular health characteristics and respiratory system health characteristics of the intelligent bed user so as to analyze preliminary health state characteristics of the intelligent bed user; and collecting sleep adjustment related data after the intelligent bed user uses the adjustment equipment, analyzing the health state adjustment characteristics of the intelligent bed user, and performing sleep health early warning on the intelligent bed user in combination with the preliminary health state characteristics. According to the invention, the early warning reliability of the intelligent bed integrated AI can be improved when the number of influence factors is large.

The invention belongs to the technical field of medical equipment, and particularly provides an intelligent dynamic monitoring device and method for chronic obstructive pulmonary disease based on wireless sensing, which get rid of dependence on an expiration examination mode, reduce the difficulty of examination operation, and reflect the severity and variability of airway obstruction in other signal monitoring modes. Comprehensive evaluation is carried out in combination with extrapulmonary indexes (such as lung volume change, heart rate, blood oxygen, breathing sound and gait), and automatic identification with other chronic respiratory system diseases is carried out; dynamic physiological changes of the airway are captured, continuous monitoring is achieved, and disease comprehensive management for the chronic obstructive pulmonary disease is achieved.

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.

Provided is the OFF-VENT breathing system. The system uses novel combinations of the venturi effect, PEEP adapters, HMEs, and the adaptation of a novel oxygen delivery system for the creation of high flow therapy to maintain open airways while maintaining access to the patient's airways for medical instruments, other accessories, or to assist breathing in general. The system is designed to create high flow oxygen therapy in a manner that does not require the use of ventilators, active heating humidifiers and other expensive equipment. Embodiments described include a novel integration of the venturi system into a nasal cannula apparatus, and the novel combination of the venturi effect and a PEEP adapter into breathing systems that might include hyperinflation and Mapleson circuits.

The invention relates to a neonatal respiratory distress risk assessment construction method, which comprises the following steps of: implementing non-intrusive micro-disturbance operation on a neonatal, and detecting respiratory rhythm phase drift, respiratory driving force low-frequency suppression and physiological tremor window change under disturbance so as to identify a pre-instability signal regulated and controlled by a respiratory system; collecting nerve and respiration feedback path data, analyzing the time difference between respiration instruction conduction and actual respiration starting, and identifying an abnormal decoupling phenomenon; based on multiple times of perturbation induction and feedback acquisition results, continuously monitoring the micro-adaptive recovery capability of the respiratory system of the newborn, and identifying the hidden fatigue trend of the respiratory system by judging progressive extension of respiratory frequency recovery time and gradual upward movement of respiratory power consumption; the respiratory redundancy regulation capability in the stress regulation process is monitored, premature intervention and repeated activation of an auxiliary breathing mode or a respiratory muscle group are judged, and the redundancy regulation critical compression phenomenon of a respiratory regulation system is analyzed to complete evaluation construction of the neonatal respiratory distress risk.

The utility model discloses a cement mortar mixer which comprises a base, a hydraulic oil cylinder is fixedly connected to the upper end of the base, a sliding plate is fixedly connected to the telescopic end of the hydraulic oil cylinder, two sets of limiting rods are fixedly connected to the upper end of the base, the positions of the two sets of limiting rods are symmetrical, and the two sets of limiting rods are both in sliding connection with the sliding plate. A stirring plate is rotatably connected to the outer portion of the sliding plate, a piston and a lead screw sleeve are slidably connected into the device cylinder, the lead screw sleeve is connected with the piston through a connecting mechanism, two sets of connecting pipes are fixedly connected to the outer wall of the device cylinder, and one set of connecting pipes communicate with a spray head. By arranging the lead screw sleeve, the piston, the spray head and other devices, the reciprocating lead screw drives the piston to slide in the device cylinder in a reciprocating mode, an external water source can be pumped into the device cylinder, then injected into the spray head and sprayed out after being atomized by the spray head, and therefore raising cement ash is subjected to dust falling and prevented from drifting into air, and the dust falling effect is improved. And the health of respiratory systems of operators is ensured.

The invention relates to a medical device for evaluating physiological parameters of a respiratory system, and the device comprises a sampling device which is used for collecting detected exhaled gas after a rising inflection point of carbon dioxide; the gas sensor comprises a nitric oxide sensor and a carbon dioxide sensor; the processor is used for receiving the gas signal generated by the gas sensor; the processor is configured to establish a linear expression for calculating a risk parameter R according to the detected carbon dioxide concentration and nitric oxide concentration; the linear expression of the risk parameter R is shown in the specification; wherein the parameter is set as a constant; the parameter is nitric oxide concentration; the parameter is carbon dioxide concentration; and the parameter is a nitric oxide dynamic change rate function. Compared with the prior art, the method provided by the invention provides a more comprehensive evaluation capability for airway inflammation and abnormal ventilation.

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 utility model discloses an adjustable continuous positive airway pressure ventilation device, relates to the technical field of positive pressure ventilation devices, and solves the problems that in the prior art, a CPAP device is complex in structure and high in manufacturing cost, the medical expense of a patient can be additionally increased, and popularization is not convenient. The device comprises a pressure air storage bag, the pressure air storage bag is communicated with an oxygen input mechanism and an oxygen output mechanism, the other end of the oxygen input mechanism is communicated with oxygen supply equipment, and the other end of the oxygen output mechanism is communicated with a tracheal catheter. The oxygen output mechanism is provided with a pressure gauge used for displaying the pressure in the airway and a pressure adjusting assembly used for adjusting the positive pressure of the airway. The utility model discloses can improve hypoxemia to a certain extent, prevent the possible respiratory system complication, promote patient's rehabilitation, and simple structure and principle, convenient operation, easy to handle, manufacturing cost is low, thereby effectively reducing patient's medical expenditure, is favorable for popularization.

The invention relates to the technical field of data analysis, can be applied to business system platforms of financial science and technology, medical treatment and health and the like, and discloses a human body state characteristic value analysis method, device and equipment and a medium. Performing system state analysis on an endocrine system, a circulatory system and a respiratory system of the user according to the physical examination data to obtain a system state characteristic value set, constructing a physiological index vector and a disease course characteristic vector according to the physical examination data, and constructing a complication incidence matrix according to case data; performing complication association analysis on the user according to the physiological index vector, the disease course feature vector and the complication association matrix to obtain a complication feature value, analyzing a criticality feature value of the user according to a system state feature value set and the complication feature value to obtain a hazard feature value set, and performing weighted summation on the hazard feature value set to obtain a complication feature value set; and obtaining a human body state characteristic value. And the accuracy of human body state characteristic value analysis is improved.

Various embodiments are directed to flow sensors and methods of using the same. In various embodiments, a flow sensor for measuring fluid flow within a breathing system may comprise a housing defining a flow channel and comprising: a housing body and a plurality of coupling members, wherein each coupling member defines an opening through the housing body, the plurality of coupling members comprising: a set of coupling members configured for coupling to a suction tube assembly, each of which is fluidly connected with the housing body via one of a plurality of bottom openings provided on a bottom side of the housing body such that the flow sensor facilitates a contaminant extraction operation defined by a contaminant present within the housing being extracted to the suction tube assembly through the coupling members; wherein each of the coupling members is integrally configured as part of the housing.

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 present invention discloses a portable respiratory system including a housing, a divider, a flow sensor, an elastic member, a rigid member, a blower and a flow limiter. By configuring the divider in the housing, the system is partitioned into an upper chamber and a lower chamber, wherein the flow sensor is located in the upper chamber and the elastic member is located in the lower chamber. The rigid member is fixed in the lower chamber, and defines an air inlet flow channel, a lateral flow channel, a transmission flow channel, and an air outlet flow channel. The blower is disposed in the elastic member and is operable to receive an airflow from the transmission flow channel and generate a positive pressure airflow. The flow limiter includes multiple pipes and is located in the lateral flow channel.

The invention discloses an adjustable handheld respiratory muscle training device which comprises a respiratory muscle training device body, a handle is detachably installed at the lower end of the respiratory muscle training device body through a bolt, an adjusting cavity is rotatably connected to the front end of the respiratory muscle training device body in a sealed mode, and a respiratory gas hood is installed at the front end of the adjusting cavity. An air hole is formed in the upper portion of the front end of the respiratory muscle training device body, a plurality of sets of adjusting holes are formed in the adjusting cavity in a surrounding mode, the air hole corresponds to one set of adjusting holes, the number of the adjusting holes is ten, and the ten sets of adjusting holes are sequentially formed in the adjusting cavity in a surrounding mode from large to small in aperture. In particular to an adjustable handheld respiratory muscle trainer convenient to use, the trainer has a multi-gear adjusting function and can provide different degrees of respiratory training loads for a user, and by means of the trainer, the user can effectively exercise respiratory muscles, improve vital capacity, increase athletic performance and improve the health level of the respiratory system.

To provide medical devices used in the screening, diagnosis, monitoring, amelioration, treatment or prevention of respiratory disorders improved in one or more of comfort, cost, efficacy, ease of use, and manufacturability.SOLUTION: An apparatus for treatment of a respiratory condition comprises: a pressure generator configured to generate a flow of breathable gas; an intermediate component pneumatically connected to an air delivery tube, the intermediate component comprising a port configured to facilitate propagation of sound outside of the intermediate component; a sensor attached externally to the intermediate component and located adjacently to the port of the intermediate component, the sensor configured to sense sound propagated through the air delivery tube; and a controller. The controller can be configured to: receive a sound signal generated by the sensor as a result of sensing sound during operation of the apparatus; analyze the received sound signal; and effect a response based at least in part on the analysis.SELECTED DRAWING: Figure 13

The present invention relates to the technical field of plastic molds. The present invention discloses a mold cleaning device with a smoking function, comprising a base, one side of the first liquid storage tank is connected to the second liquid storage tank through a second smoking pipe, the first liquid storage tank and the second liquid storage tank are both fixed at the middle of the upper end surface of the base, one side of the second liquid storage tank is connected to a smoke exhaust channel through a third smoking pipe, the smoke exhaust channel is fixed on the other side of the upper end surface of the base, the first activated carbon filter cotton, the second activated carbon filter cotton and the third activated carbon filter cotton are snap-connected in the smoke exhaust channel, and the top of the smoke exhaust channel is fixed with a smoke exhaust pipe. In the mold cleaning device with a smoking function, after the gas generated by the plastic mold passes through the device, plastic particles, carbon monoxide and formaldehyde can be completely filtered out, a large amount of pungent smell is significantly reduced, and can be normally discharged into the outdoor air, which can reduce the damage to the respiratory system of workers and the pollution to the ambient air.

The invention relates to the field of respiratory rehabilitation training systems, in particular to a respiratory rehabilitation training guiding system based on virtual reality. The intelligent breathing rehabilitation system integrates virtual reality, breathing monitoring, health assessment and personalized training; the virtual reality display terminal displays a training scene and a real-time evaluation result, so that the interactive experience is enhanced; the respiration monitoring module accurately collects data, and the health evaluation module analyzes the data in real time and feeds back the data to the display terminal; the respiratory rehabilitation training platform dynamically adjusts training content and intensity according to a user instruction and evaluation feedback; the rehabilitation monitoring module tracks a breathing curve in real time, and training accuracy is ensured. And the sound output module provides prompts to guide correct breathing. The system realizes intelligent, personalized and interesting training, improves the effect and efficiency, enhances the enthusiasm and compliance of patients, and brings an innovative breakthrough to the field of respiratory rehabilitation.

The invention relates to a system and a method for determining a severity of a respiratory disease of a patient. The patient is instructed by a system to recite a phrase. The system receives the phrase recited by the patient as acoustic signal and analyzes the acoustic signal with respect to a severity of a respiratory disease. The result of the analysis is provided, which is indicative for the severity of the respiratory disease of the patient.

The invention provides an AI-based child respiratory system diagnosis assistance method and system, and relates to the technical field of diagnosis assistance, and the method comprises the steps: collecting multiple layers of breathing sound signals through a bionic sensing array, building an airflow track model, carrying out the signal enhancement, and generating an enhanced breathing sound signal. Generating three-dimensional breathing sound propagation data by using the acoustic reconstruction network, evaluating a breathing function in combination with airflow dynamics and acoustic parameters, tracking abnormal breathing sound and generating a characteristic distribution diagram; symptom evolution analysis is carried out through a medical knowledge inference engine, real-time monitoring data is output, accurate auxiliary diagnosis is achieved, and the diagnosis efficiency and accuracy of children respiratory system diseases are improved.

According to the mode switching method, the controller, the airway clearance equipment, the storage medium and the program product provided by the embodiment of the invention, the oscillation airflow under different oscillation frequencies is output after operation is performed for the preset duration in the airway oscillation mode or the mechanical inhalation and exhalation mode, and the oscillation airflow under different oscillation frequencies is output for any oscillation frequency. The method comprises the following steps: acquiring response information of a user to oscillation airflow at oscillation frequencies, determining an impedance parameter of the user according to the response information at each oscillation frequency, determining an operation mode at the next moment according to the impedance parameter, and executing the operation mode, according to the method, the response information of the user under the oscillation airflow is obtained to determine the impedance parameter representing the blocking condition of the respiratory system of the user, so that the adopted airway clearance mode is automatically adjusted according to the real-time breathing state of the user, and the sputum discharge effect is improved.

The aluminum alloy door and window production frame paint spraying device comprises a fixing frame, a paint spraying device body and supporting legs, the paint spraying device body is fixedly connected to the top of the right side of the fixing frame, and the supporting legs are fixedly connected to the four corners of the bottom of the fixing frame. By arranging the controller, the controller starts the extraction mechanism, the extraction mechanism extracts harmful gas, then the harmful gas is filtered through the filtering mechanism, a user is prevented from inhaling a large amount of harmful gas, and then the effect of sucking and filtering the harmful gas is achieved; the problems that volatile organic compounds and other harmful gases are released in the paint spraying process, a structure for sucking and filtering the harmful gases is not provided, and a large amount of gases are sucked to damage body health and even cause serious diseases to stimulate a respiratory system, cause dizziness, nausea and other uncomfortable symptoms, and the like are solved. And certain potential safety hazards exist.

The invention provides an emergency breathing system oxygen supply speed control method, and belongs to the field of PID control optimization, and the method comprises the following specific steps: 1, carrying out oxygen supply demand prediction modeling based on real-time monitored data; 2, designing a respiratory system oxygen supply speed PID controller, and associating the actual oxygen supply speed with a control signal; step 3, embedding an improved flood algorithm in the controller; the improved flood algorithm comprises the following steps: 1, an algorithm exploration stage: constructing a dynamic step length factor, and combining gradient information of a target function on a current solution; 2, in an algorithm development stage, canceling a fixed maximum value range and a fixed minimum value range, replacing the fixed maximum value range and the fixed minimum value range with dynamic diffusion items of a global optimal solution and a local optimal solution, and replacing the fixed minimum value with an individual historical optimal guide item; 4, the optimized control signal is used for adjusting the oxygen supply speed of oxygen supply equipment in real time, accurate control over the oxygen supply speed of the respiratory system under the emergency condition is achieved, and it is ensured that the oxygen supply speed is rapidly matched within the target range.

The invention provides a ventilation system of a supercharged engine. The first passage communicates the downstream intake part with the crankcase in order to ventilate the crankcase. A second passage communicates the upstream intake portion with the crankcase. The oil separator is provided in the second passage. A third passage communicates the downstream intake portion with the oil separator. The one-way valve restricts the flow of gas through the third passage from the oil separator toward the downstream intake portion.

The application provides a guide and breathing system for a bronchofibroscope, which comprises a cover body used for covering a throat and forming a closed cover cavity communicating with a trachea in use, and a pipeline structure fixedly connected with the cover body and comprising an endoscope pipeline and a ventilation pipeline which are independent of each other and communicate with the cover cavity, and a drainage pipeline arranged to pass through the inside of the cover body but not communicate with the cover cavity, so as to communicate with an esophagus through a drainage outlet on the cover body in use. When the guide and breathing system is used, the reflux of secretions of a patient during an endoscope operation can be disposed through the independent drainage pipeline, and the bronchofibroscope only occupies part of the space in the laryngeal mask channel in the case of the endoscope operation, so that the patient can inhale sufficient oxygen, and the safety of the patient during the operation of the bronchofibroscope is ensured.

The invention relates to a breathing system and a breathing method for artificial respiration of a patient. The invention further relates to a control assembly and a control method for controlling a breathing assembly belonging to a breathing system. The anesthetic meter member (38) provides an anesthetic gas mixture (Ng) having a predetermined theoretical concentration (conreq) of the anesthetic (Nm). The respirator (12) delivers a breathable gas mixture with an anesthetic gas mixture (Ng) to the patient-side coupling unit. The setpoint concentration (conreq) is specified in such a way that the setpoint concentration is at most equal to the calculated upper concentration limit (conmax). The higher the temperature in the anesthetic meter member (38), in the ventilator (12) and / or in the ambient environment, the higher the concentration upper limit (conmax). The present invention reduces the risk of anesthetic (Nm) coagulation.

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.

Disclosed is a respiratory system with the adjustable concentration of a hydrogen-oxygen generator, which is used for changing the concentration of the breathing gas of an assisted person, and comprises: a hydrogen-oxygen supply auxiliary device (13), a pure water electrolysis hydrogen-oxygen manufacturing machine (1, 1'), a wet bottle (3), and a hydrogen concentration detector (14). The pure water electrolysis hydrogen-oxygen manufacturing machine (1, 1') comprises: an ion exchange membrane (10, 10'), wherein the two sides of the ion exchange membrane (10, 10') are respectively coated with an oxidation catalyst layer (100, 100') and a reduction catalyst layer (102, 102'); a pair of an anode metal layer (110, 110') and a cathode metal layer (112, 112') with pores (114); an anode (120, 120') for guiding the anode metal layer (110, 110') and a cathode (122, 122') for guiding the cathode metal layer (112, 112'); and a sealed container body (2, 2') for containing the above-mentioned structure of the pure water electrolysis hydrogen-oxygen manufacturing machine (1, 1'), the sealed container body (2, 2') being provided with a water injection hole (20), a hydrogen hole (22, 22'), and an oxygen hole (24, 24'). The wet bottle (3) comprises: an oxygen transmission pipe (32), a hydrogen transmission pipe (30), a mixing and humid output pipe (34) connected to the hydrogen-oxygen supply auxiliary device (13), and a bottle body (36), wherein one end of the oxygen transmission pipe (32) and one end of the hydrogen transmission pipe (30) are separately inserted into clean water.