2272 results about "Type ventilator" patented technology

Disclosed herein are systems and methods for providing targeted temperature management (TTM) therapy to a patient. Systems included herein provide an airflow to the patient in additional to a liquid flow that define a thermal energy exchange with the patient. Various systems may provide air at a defined TTM temperature to a thermal contact pad, a mattress or a ventilator that delivers the TTM air to the patient via the ventilation therapy. Also disclosed herein are systems, devices, and methods for preventing, managing, and / or removing perspiration moisture from between the thermal contact pad and the patient. Disclosed herein is a thermal contact pad includes a wicking material to draw moisture away from the patient. Disclosed herein also is a thermal contact pad including airflow that draws moisture away from the patient.

The invention relates to the technical field of medical care informatics, and discloses a laryngeal mask ventilation control method suitable for outpatient anesthesia, which comprises the following steps: before core analysis, injecting and monitoring a high-frequency signal to confirm the integrity of an original breathing waveform data stream; constructing a real-time ventilation waveform trajectory in a differential phase space only on the premise that a data stream is complete, and performing morphological comparison with an individualized baseline template; meanwhile, when a parameter adjustment event of the respirator is monitored, the baseline template is automatically re-calibrated, a collaborative analysis framework with front information source quality inspection and dynamic reference self-adaption capabilities is constructed, ventilation monitoring is converted from passive response to an isolated peak point into active insight to a system dynamics evolution trajectory, and the system dynamics evolution trajectory is optimized. Therefore, the risk of gradual deterioration of the ventilation state caused by tiny air leakage of the laryngeal mask or secretion accumulation can be clinically recognized in an early stage, and intervention time is won for anesthetists.

The invention relates to the technical field of biomedical engineering, and discloses an acute respiratory distress syndrome mechanical ventilation adaptive adjustment control system, which comprises a data acquisition module, a signal preprocessing module, a physiological parameter calculation module, a prediction module, a decision and control logic module and the like. Wherein the prediction module predicts a dynamic lung compliance change trend by using a long short-term memory neural network model, and the decision and control logic module generates a ventilation parameter adjustment instruction according to a prediction result and a clinical safety rule. By adopting the technical scheme, the system overcomes the hysteresis of traditional feedback regulation, reduces the risk of breathing machine related lung injury, optimizes oxygenation and carbon dioxide removal efficiency, and provides an accurate, safe and individualized mechanical ventilation treatment scheme.

The invention relates to the technical field of breathing machine data monitoring, in particular to an anesthesia breathing machine monitoring system which comprises a real-time data anomaly monitoring module, a real-time data anomaly monitoring module, a real-time data anomaly monitoring module, a real-time data anomaly monitoring module, a real-time data anomaly monitoring module, a real-time data anomaly monitoring module, a real-time data anomaly monitoring module, a real-time data anomaly monitoring module and a real-time data anomaly monitoring module, and comparing the patient monitoring data with a preset safety threshold, and generating an abnormal data monitoring result. According to the method, by monitoring the airway pressure, tidal volume and respiratory rate of a patient in real time and combining safety threshold comparison, the abnormal state can be recognized in time, the time sequence signal of the abnormal data can be generated, fractal dimension calculation and fluctuation feature analysis are conducted on the time sequence signal, the complexity and stability of the abnormal state are quantified, and the accuracy of the abnormal state is improved. And the Bayesian network model is used for associating the current patient data with the abnormal data, so that the trend change of the future patient data can be predicted.

The invention relates to the technical field of lung demonstration models, and particularly discloses a lung demonstration model for breathing machine teaching, which comprises a storage bottle, a lung model and a trachea model, and is characterized in that the trachea model is connected with the lung model; the air pressure simulation mechanism is located in the base; the switching mechanism is located in the base; according to the lung demonstration model for breathing machine teaching, students control the air pressure simulation mechanism to simulate different states of air pressure of the lung through the switching mechanism, and the air passage blocking mechanism synchronously adjusts the size of the inner diameter of the trachea model. Therefore, data conditions monitored by the breathing machine in different pathological states of a patient in an actual scene are simulated, students are helped to practice preliminary judgment of lung and airway conditions of the patient according to data changes such as the tidal volume of the breathing machine, the learning effect of the students is enhanced, and various emergencies when the patient wears the breathing machine are simulated. And the actual strain capability of students is exercised.

The invention relates to a multi-parameter centralized monitoring method, system and equipment for a noninvasive ventilator and a medium. The method comprises the steps that firstly, original parameter data and coding rules of noninvasive respirators of all brands are obtained, format unification processing is conducted on the original parameter data by constructing a standardized data mapping table, and a parameter data set is obtained; transmitting the parameter data set to a local gateway by adopting a low-power-consumption Bluetooth protocol to generate an alarm data set; analyzing the dynamic change trend of the parameters by combining the parameter data set and the alarm data set, and generating a monitoring report data set; and finally, extracting a continuous abnormal trend based on the monitoring report data set, performing priority ranking according to the emergency degree to generate an intervention instruction, and tracking the processing state of the intervention instruction to obtain a final decision data set. According to the method, data intercommunication of noninvasive respirators of different brands is realized, the hysteresis of manual inspection is avoided, the timeliness and accuracy of abnormal response are improved, and the safety of patients is guaranteed.

A patient interface assembly with optimized connection methods and improved air-tightness. The patient interface assembly forms a complete channel to deliver positive pressure air when connected with an air supply tube and a ventilator. The patient interface assembly includes a patient interface pad, a frame, an elbow assembly, and a quick-release connector. The patient interface pad is fixedly connected to one end of the elbow assembly. The frame is positioned between the elbow assembly and the patient interface pad. The other end of the elbow assembly is connected to the quick-release connector. By reducing the connection steps between parts, the air-tightness of the patient interface assembly is enhanced, and the patient interface assembly is adaptable to various types of frames.

The invention discloses an artificial intelligence-based ventilator offline auxiliary judgment method, which relates to the technical field of artificial intelligence. The method comprises the following steps: obtaining physiological data and magnetic resonance image data of a patient, obtaining a time series characteristic curve according to the physiological data, and obtaining characteristic data of the patient according to the time series characteristic curve; constructing a standard neural network model, and performing a primary judgment according to the standard neural network model; preprocessing the magnetic resonance image data according to the primary judgment result, and performing grayscale co-occurrence matrix analysis on the preprocessed magnetic resonance image data to obtain a texture feature set of a region corresponding to the magnetic resonance image data; performing similarity analysis on the texture feature set to obtain a texture feature similarity value of a region corresponding to the magnetic resonance image data, and performing a secondary judgment according to the texture feature similarity value; and improving the accuracy of judging the patient's respiratory state through the two judgments.

The invention relates to the technical field of medical instruments, and particularly discloses a deep sleep maintenance algorithm for self-adaptive pressure regulation of a breathing machine, which comprises the following steps: step 1, a data acquisition and preprocessing module is connected with a pressure sensor and a flow sensor in the breathing machine to acquire a breathing pressure signal and a breathing flow rate signal of a patient in real time; 2, the data collecting and preprocessing module further conducts filtering and smoothing processing on the collected respiratory signals, noise and interference components are removed, and normalization processing is conducted on the respiratory flow rate signals; according to the breathing machine self-adaptive pressure regulation micro-awakening suppression algorithm based on the tidal volume dynamic tracking model, by dynamically tracking the tidal volume, the breathing requirement of a patient can be sensed in real time, and the pressure output of the breathing machine is self-adaptively regulated according to the change of the tidal volume; by means of the precise pressure adjusting mode, dyspnea caused by insufficient or too high pressure can be effectively avoided.

A novel clinical decision support system (CDS) helps the clinician set up, maintain, and interpret an esophageal pressure measurement. The esophageal pressure CDS (Pes CDS) would remind the clinician to do an occlusion test whenever the balloon is first inserted or changes dramatically. It could monitor the occlusion test and provide feedback on the performance and success of the occlusion test. Changes in the patient or monitored data can be tracked by looking for changes in the balloon baseline pressure, changes in the amplitude of the pressure waveform, or changes in the pattern of the Pes waveform. Having information from the ventilator will further increase the ability of the system to determine when Pes is changing unexpectedly.

The utility model discloses a breathing machine humidifying tank and a breathing machine system, and relates to the field of medical instruments. The breathing machine humidifying tank comprises a tank body, a guide sleeve, a telescopic water bag and an operating rod. The tank main body is provided with a highest water line; the telescopic water bag is located in the tank body and horizontally arranged, the top of the telescopic water bag is higher than the highest water line, the telescopic water bag comprises a telescopic sleeve and a hard end plate, one end of the telescopic sleeve is connected with the tank body, the hard end plate is connected with the other end of the telescopic sleeve, and a water suction and drainage hole is formed in the hard end plate and lower than the highest water line. The guide sleeve and the telescopic water bag are arranged in the same direction, and the guide sleeve is connected with the tank body and corresponds to the telescopic water bag in position. And the operating rod penetrates through the guide sleeve, is matched with the guide sleeve and is sealed with the guide sleeve, and the operating rod is connected with the hard end plate. The breathing machine humidifying tank is installed on the breathing machine main machine, and a temperature and humidity sensor and a push-pull structure are arranged in a matched mode to obtain the breathing machine system. According to the utility model, the temperature and humidity of the humidified air at the patient end can be optimal.

The invention discloses a breathing monitoring method based on big data analysis and a breathing machine, and relates to the technical field of medical equipment. The method comprises the following steps: determining a target breathing index representing the breathing stability of a breathing machine user and a target breathing symptom type representing the breathing symptom of the breathing machine user; and in combination with the target breathing index, the target breathing symptom type and a preset parameter library, determining a target oxygen parameter so as to control the breathing machine according to the target oxygen parameter. According to the control mode of the breathing machine, the related monitoring data of the breathing machine user are combined, automatic oxygen control of the breathing machine is achieved, equivalently, on the basis of breathing monitoring, automatic oxygen control of the breathing machine is achieved, and oxygen parameters of the breathing machine can accurately meet the requirements of the breathing machine user. Therefore, effective and timely breathing monitoring is realized, the application stability of the breathing machine is ensured, and the use experience of a breathing machine user is improved.

The present invention discloses an intelligent respiratory support and airway clearance auxiliary system, method, device and storage medium, which relates to the field of medical data processing technology. The data acquisition module is used to obtain real-time parameter data; the respiratory analysis unit analyzes the blood oxygen saturation, oxygen partial pressure and carbon dioxide partial pressure data; the lung image data analysis unit intelligently analyzes the lung auscultation image data to identify the lung sputum blockage; the ventilator waveform analysis unit identifies abnormal waveform data based on the waveform data of the ventilator; the airway clearance module is used to determine whether it is necessary to start the Ilohen expectoration breathing mode according to the intelligent analysis results. The present invention uses advanced data processing technology and algorithms to monitor the patient's breathing in real time, and promptly discover and deal with airway problems. Through systematic data collection and analysis, the efficiency and accuracy of airway clearance are improved, the patient's treatment effect is improved, and the patient can actively expectorate while using a ventilator.

The invention relates to a cardiac arrest prediction method, device and equipment and a storage medium, relates to the technical field of cardiac arrest risk prediction, fully captures a complex mode and trend of a patient capable of supporting a heart state of a current breathing mode at any time and time, and performs accurate early warning before cardiac arrest really occurs. Comprising the steps that in the process that a breathing machine is used for assisting a user in breathing, first interaction parameters actually generated by the breathing machine are collected every unit time; the first interaction parameter refers to a parameter for measuring a receiving state of specific oxygen input by a human body to the breathing machine; inputting a first interaction parameter collected at the current time as event information into a breathing mode prediction network under a heart state constructed based on a long-short-term memory network, and updating a target cell state of the breathing mode prediction network under the heart state at the current moment; and outputting the risk probability calculated by the breathing mode prediction network in the heart state.

The invention relates to a dual-channel CO2 respiration monitoring device and system based on an intelligent sensor, and the device comprises a CO2 airway adapter which is used for carrying out gas exchange on CO2 discharged by membrane lungs; the hose is used for being matched with the membrane lung exhaust connector to convey CO2 exhausted by the membrane lung; the membrane lung exhaust connector is used for being matched with a hose to convey CO2 exhausted by the membrane lung; based on the dual-channel CO2 respiration monitoring system, dual-channel CO2 respiration monitoring is carried out through an intelligent sensor arranged in the dual-channel CO2 respiration monitoring system; the membrane lung is connected with the membrane lung exhaust connector and the dual-channel CO2 respiration monitoring system based on the intelligent sensor and is used for simulating the lung to perform gas exchange; and the breathing machine is connected with the dual-channel CO2 breathing monitoring system based on the intelligent sensor and is used for supporting natural breathing of the user. According to the invention, the efficiency and accuracy of monitoring the CO2 emission concentration of the membrane lung and the CO2 emission concentration of the breathing machine in real time according to the change condition of CO2 breathing are improved.

The invention relates to the technical field of high-frequency breathing machines, and discloses a working method of a high-frequency breathing machine based on flow control, the high-frequency breathing machine sequentially outputs a plurality of average airway flows with the same or different sizes and the same or different action time periods according to a set period rule, and the airway flows output in an expiration phase and an inspiration phase are stable. The same or different average airway flows can be output in different inspiration phases and expiration phases; in different action time periods of the high-frequency breathing machine, the output gas flow can be periodically and independently adjusted among different ventilation flow levels; in high-frequency ventilation, the high-frequency ventilation method based on flow control can accurately control the flow and time of gas, the flow control ventilation can better control the change of airway pressure, and the air supply volume of equipment can be accurately estimated by setting proper flow and time, so that the airway pressure and risk are reduced, and the possibility of air pressure damage is reduced.

The utility model discloses a clean storage system for a household breathing machine. The machine body is provided with a breathing machine placing area, a storage device, an air purification system and a display control component, an air outlet is at least formed in the breathing machine placing area or the part, close to the breathing machine placing area, of the machine body, the storage device is provided with a storage chamber, an exhaust port and a storage port capable of being opened and closed, and the storage chamber is communicated with an air supply device. The air purification system is provided with a fan, an air purification device, an air outlet and an air inlet, an airflow channel in the machine body in the air outlet direction of the air purification device is a clean air area, the air outlet communicates with the airflow channel, the breathing machine containing area forms the clean air area, and the air supply device sucks clean air. The household breathing machine platform is provided with a special platform space for placing various types of household breathing machines, has an air source filtering and purifying function, and has the advantages that accessories / parts of the household breathing machines can be cleanly accommodated and stored, indoor environment air can be purified, and the like.

The invention relates to an anti-dryout device for a humidifying tank of a breathing machine, which belongs to the technical field of medical auxiliary instruments and comprises a humidifying tank, a detection component, a water replenishing pipe, a water replenishing box and an alarm unit. The water replenishing box is arranged on the outer side of the humidifying tank; the detection assembly is arranged in the water supplementing box and extends out of the water supplementing box from the interior of the water supplementing box, the heating liquid enables the detection assembly to abut against the top face of the water supplementing box, and the abutted detection assembly is connected with the alarm unit in a limiting mode; the water supplementing pipe comprises a heating end, the heating end is located in the humidifying tank, and the liquid level where an opening of the heating end is located is a warning liquid level; when the real-time liquid level in the humidifying tank is lower than the warning liquid level, the water replenishing box replenishes water to the humidifying tank through the water replenishing pipe, and meanwhile, the detection assembly detects that the liquid level of the water replenishing box is lowered to drive the alarm unit to give an alarm. And the conditions that the inside of the humidifying tank is still continuously heated, and the conveyed oxygen is dry and high-temperature to burn a patient are avoided.

The embodiment of the utility model provides a water tank for a breathing machine and the breathing machine. The water tank comprises a shell and a pressing key arranged on the outer surface of the shell, and the pressing key is configured to be capable of being pressed in the direction close to the interior of the shell under the action of external force so that the water tank can be assembled to or disassembled from the breathing machine host; wherein the pressing key comprises an elastic arm, the elastic arm comprises a free end and a fixed end, and the elastic arm is configured as follows: when the pressing key is pressed in a direction close to the interior of the shell, the free end slides in a direction far away from the fixed end, and the elastic arm generates elastic deformation; after the external force is released, the free end slides towards the direction close to the fixed end, and the elastic arm restores deformation, so that the water tank is fixed to the breathing machine host or reset after being detached. And the elastic arm is arranged, so that the pressing key can be automatically reset after being pressed, additional operation is not needed, and the steps are simple.

The invention relates to the technical field of general control or regulation systems, in particular to a critical patient respirator parameter adaptive optimization control method, which comprises the following steps of: acquiring and processing physiological signals; constructing a dynamic respiration mechanical model based on a sliding time window recursive recognition algorithm; a man-machine coordination index is calculated, and the desynchrony degree is quantified; generating a ventilation parameter adjustment scheme through the reinforcement learning strategy network; and executing smoothing parameter adjustment, and introducing a safety boundary and a secondary fine adjustment mechanism. The breathing state of the critical patient can be accurately perceived and intelligently regulated and controlled, the ventilation efficiency is guaranteed, meanwhile, the man-machine synchronism and safety are improved, the medical care burden is relieved, and the prognosis of the patient is improved.

The invention relates to the technical field of precise monitoring medical treatment, and discloses a breathing machine control strategy debugging method and system based on an EIT image, and the method comprises the steps: constructing a breathing machine control algorithm model based on deep learning through a case library, and representing a mapping relation between a case EIT image and a key index thereof and a breathing machine ventilation control parameter; acquiring current EIT images of a plurality of respiratory cycles of the patient, inputting the current EIT images into the respirator control algorithm model, matching the most similar case from the case library, and performing respirator ventilation control by using target respirator ventilation control parameters of the most similar case; operation is controlled to start, adjustment EIT images and key indexes of a plurality of respiratory cycles of the patient are obtained, and the adjustment EIT images and the key indexes are compared with the EIT images and the key indexes of the most similar cases for judgment; if the requirements are met, continuously controlling and updating the case library, and optimizing the model; otherwise, switching the control mode. Determination of breathing machine control parameters participated by a patient is reduced, trial and error times of clinical parameter adjustment are reduced, and patient safety and control accuracy are both considered.

The present application relates to the technical field of medical equipment, and in particular to a ventilator, which includes a ventilator and a humidifier, which are arranged side by side and interconnected with each other, the ventilator includes a ventilator shell and a pumping mechanism arranged in the ventilator shell, the pumping mechanism includes a pumping shell, a pumping inner shell arranged in the pumping shell, and a pumping assembly arranged in the pumping inner shell, the pumping shell is provided with a pumping port assembly passing through the ventilator shell and connected to the outside of the ventilator shell, a silencer channel connecting the pumping shell and the pumping inner shell is provided between the pumping shell and the pumping inner shell, and the pumping inner shell is provided with an air supply port assembly passing through the pumping shell and the ventilator shell and connected to the humidifier. The present application has the following effects: the silencer channel is used to reduce the airflow noise and the working noise of the pumping assembly, so as to reduce the noise hazard of the ventilator when it is working.

The invention relates to the technical field of medical auxiliary instruments, in particular to a newborn body position fixator of an invasive ventilator. Comprising a mounting rod, hinge rods are hinged to the two ends of the mounting rod, sliding rods are slidably arranged on the hinge rods, connecting rods are hinged to the sliding rods, and the lower ends of the connecting rods slidably penetrate through corresponding lower limb supporting plates and upper limb lifting plates; the telescopic end of the second electric push rod is connected with a connecting frame, and the two sides of the connecting frame are in contact fit with the bottom ends of the connecting rods on the same side. By introducing the lifting mechanism and the limiting mechanism, accurate adjustment and stable fixation of the body position of the newborn are achieved, the two mechanisms can operate independently and can also be used in a combined mode, a surrounding type limiting structure is formed, more stable and reliable support is provided compared with a traditional soft material, body position deviation of the newborn during treatment is prevented, and the treatment effect of the newborn is improved. Therefore, the treatment effect is guaranteed.

A system is provided for dynamically controlling operation of a ventilator for automatic adjustment of one or more operational settings based on patient biometric data. A ventilator prescription includes initial operational settings, minimum and maximum operational boundaries for each operational setting, a health score formulae for determining a current health score based on patient biometrics, an interval for evaluating current operational settings, and a selected optimization protocol for systematically trialing one of the operational settings to optimize the current health score. The ventilator starts with the initial configuration, monitors patient biometrics, periodically determines a current health score, systematically trials new operational settings and for each trialed setting that improves the Health Score resets the current configuration to the trialed confirmation (hill climbing methodology).

A CO2 and other gas compensation device includes a device body containing a respiratory gas CO2 compensation device. Inside the respiratory gas CO2 compensation device, an airway is set up. An output end of the airway is connected to a respiratory parameter detection module, which is connected to the respiratory terminal. Inside the respiratory terminal, a proximal pressure sensor and an end-tidal CO2 sensor are installed. The proximal pressure sensor and the end-tidal CO2 sensor are electrically connected to the respiratory gas CO2 compensation device. CO2 is compensated into the respiratory terminal through the respiratory gas CO2 compensation device. The respiratory parameter detection module can monitor parameters of incoming CO2. The respiratory gas CO2 compensation device, in coordination with the respiratory parameter detection module, achieves precise monitoring and adjustment of the incoming CO2, thereby accurately controlling the amount of CO2 compensation required by the patient and improving the treatment effect.

The invention discloses a nasopharynx ventilation catheter for a multifunctional breathing machine. The nasopharynx ventilation catheter comprises a flexible catheter body, an anti-bending supporting part, a dosing assembly, a sputum suction assembly, a monitoring assembly and an air bag mechanism. The air outlet end of the flexible conduit is provided with an antibacterial conduit head, and the air inlet end is provided with a connecting assembly; the antibacterial catheter head is provided with a hole channel assembly and a medicine feeding opening, and the flexible catheter is provided with a suction opening. The anti-bending supporting part is mounted on the inner wall of the flexible conduit; one end of the dosing assembly is communicated with the dosing port; one end of the sputum suction assembly is communicated with the suction port; the detection end of the monitoring assembly is located in the inner cavity of the flexible catheter and close to the duct assembly, and the monitoring assembly is used for monitoring the concentration of carbon dioxide in the oral and nasal cavity; the air bag mechanism comprises a first air bag, a second air bag and two air bag air supply assemblies. The device has the functions of drug delivery, sputum suction, carbon dioxide concentration monitoring and the like, meanwhile, the nasal mucosa can be free of damage or obviously relieved, the device can be conveniently inserted into the nasal cavity, the fixing effect is good, and the ventilation effect is good.

A connection piece for a medical ventilator assembly which comprises a main body with a first inflow end and a second inflow end, and an outflow end. The first inflow end and the outflow end define a channel with a longitudinal axis. The second inflow end comprises a one-way valve adapted to allow gas flow toward the channel. The connection piece further comprises a leak valve arranged downstream of the one-way valve. The second inflow end is shaped and / or oriented with respect to the channel such that a gas flow from the second inflow end enters the channel, at an entry point, at an angle of less than 90° with respect to a direction of the longitudinal axis at said entry point from the first inflow end to the outflow end.

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 discloses a clean storage system for a household breathing machine. The machine body is provided with a breathing machine placing area, a storage device, an air purification system and a display control component, an air outlet is at least formed in the breathing machine placing area or the part, close to the breathing machine placing area, of the machine body, the storage device is provided with a storage chamber, an exhaust port and a storage port capable of being opened and closed, and the storage chamber is communicated with an air supply device. The air purification system is provided with a fan, an air purification device, an air outlet and an air inlet, an airflow channel in the machine body in the air outlet direction of the air purification device is a clean air area, the air outlet communicates with the airflow channel, the breathing machine containing area forms the clean air area, and the air supply device sucks clean air. The household breathing machine platform has a special platform space for placing various types of household breathing machines, has an air source filtering and purifying function, and has the advantages that accessories / parts of the household breathing machines can be cleanly stored, indoor environment air can be purified, and the like.

The embodiment of the present invention provides a flow regulation method for ventilation therapy equipment and ventilation therapy equipment, including: detecting the current breathing parameters of the user, and determining the current breathing state of the user according to the breathing parameters; then outputting with a corresponding flow output value according to the current breathing state of the user; after controlling the output valve according to the flow output value, obtaining the breathing parameters of the user again, and adjusting the flow value of the output valve according to the change of the breathing parameters; by monitoring the breathing state of the user, adjusting the output airflow flow value of the equipment in real time, specifying different ventilator output working plans according to the breathing needs of different users, so as to solve the problem in the prior art that the adjustment result of the preset algorithm of the equipment is too uniform and the support for the different needs of different users is poor.