71 results about "Tidal volume" patented technology

The invention discloses an underground breathing flow monitoring method and system based on adaptive filtering, and the method comprises the steps: collecting an airflow signal at the mouth and nose of a miner in real time through an MEMS hot film sensor, and synchronously collecting a body vibration signal through an acceleration sensor, and obtaining original breathing data containing dynamic interference and corresponding vibration data; the method comprises the following steps: preprocessing original breathing data containing dynamic interference and corresponding vibration data to obtain a digital breathing flow signal and a standardized reference vibration signal; jointly inputting the digital respiratory flow signal and the standardized reference vibration signal into a filtering processing model based on an LMS adaptive algorithm to obtain a target respiratory flow signal; performing data analysis on the target respiratory flow signal, and calculating to obtain a real-time respiratory flow value, respiratory frequency and tidal volume parameters of the monitored object; the real-time breathing flow value, the breathing frequency and the tidal volume parameters obtained through calculation are locally displayed in real time, and monitoring of breathing flow data during underground operation is achieved.

The invention provides a lung expiration training system for nursing a patient outside a chest, which relates to the technical field of medical rehabilitation training and comprises a respiratory signal acquisition module, a main control and signal processing module, a feedback and excitation module and a data management and scheme customization module, the respiratory signal acquisition module is used for acquiring an instantaneous pressure difference signal in the expiration process of a patient in real time by utilizing a differential pressure type flow sensor; the main control and signal processing module converts the pressure difference signal into instantaneous flow, obtains an expiration flow-time curve, a primary expiration amount and expiration efficiency based on discrete sampling, smooth operation and integral calculation, and calculates an error sum of squares and a curve goodness of fit to form a comprehensive control amount; the feedback and excitation module provides visual, auditory or tactile feedback according to the comprehensive control quantity, and can present a gamification interface to guide the patient to adjust the breathing rhythm; the data management and scheme customization module is used for setting a personalized training scheme and recording training data, and the trend analysis unit generates a rehabilitation trend report based on historical indexes.

The invention provides an airway atomization flow intelligent drug delivery control method and system, and relates to the technical field of medical instruments.The method comprises the steps that basic information of the age, the weight and the illness state severity of a patient is obtained, and physiological parameters of the respiratory rate and the tidal volume of the patient are collected in real time through a sensor; inputting the basic information and the physiological parameters into a fuzzy adaptive control algorithm, and initializing an individual administration rule base according to the basic information; based on the real-time change trend of the respiratory rate and the tidal volume, three initial control index values including an atomization flow value, a drug concentration value and a time interval are dynamically generated through a membership function. According to the invention, through the full-process design of data acquisition, intelligent modeling, accurate execution and data closed loop, intelligentization of atomization treatment is realized.

The invention relates to a parameter adjusting method and device of a breathing machine, computer equipment and a storage medium. The method comprises the following steps: acquiring gas state data and environment state data of the breathing machine; according to the gas state data and the environment state data, target adjusting parameters of the breathing machine are determined; the target adjusting parameters comprise at least one of target tidal volume, target breathing flow, breathing pressure rise time, target water tank temperature and target water tank humidity; and according to the target adjustment parameter, performing parameter adjustment on the breathing machine. Closed-loop feedback control of the gas state data and the environment state data is synchronously achieved, and the target tidal volume, the target breathing flow, the breathing pressure rising time, the target water tank temperature and the target water tank humidity are cooperatively adjusted, so that the systematic precision and the dynamic response efficiency of parameter regulation and control of the breathing machine are remarkably improved.

The invention discloses an electric turbine anaesthesia machine with an automatic air supply function of an air storage bag and a method, and the anaesthesia machine comprises a turbine which is used as an active inspiration air source; a detachable air storage bag; an air supply one-way valve; the breathing circuit is connected between the turbine outlet and the patient end and comprises an inspiration branch provided with a flow diaphragm, an expiration branch provided with an expiration EV valve and an expiration flow diaphragm, and a patient breathing circuit tank assembly containing the air storage bag and the soda lime tank; a plurality of sensors; the control unit is electrically connected with and controls the turbine and the expiration EV valve, receives signals of the sensor and is used for achieving different breathing ventilation modes. According to the anesthesia machine and method, turbine driving is adopted, the tidal volume adjusting range is wide, and physical limitation of a folding bag is avoided; the air storage bag is externally arranged and replaceable, so that cleaning and maintenance are facilitated; a one-way valve automatic gas supply mechanism ensures continuous and stable gas supply; the device supports various breathing modes, and is suitable for various scenes such as anesthesia maintenance, postoperative awakening, oxygen therapy and the like.

This invention provides a non-contact method, device, equipment, and storage medium for measuring trunk respiratory parameters. It synchronously acquires three-dimensional motion data of optical reflective markers during respiration, with these markers positioned at multiple pre-defined anatomical landmark locations on the subject's trunk. Based on the three-dimensional motion data, it determines the volume change of the spatial envelope formed by the optical reflective markers. According to a pre-established mapping relationship between the volume change and tidal volume, it converts the volume change into tidal volume. Based on the signal of the volume change over time, it extracts the respiratory rate. Finally, it calculates the total respiratory volume based on the tidal volume and the respiratory rate. By combining optical motion capture with spatial geometric modeling, it achieves non-contact, continuous, and high-precision measurement of trunk respiratory motion, effectively overcoming the shortcomings of traditional methods, such as reliance on patient cooperation, invasiveness, expensive equipment, and complex operation.

The invention relates to the technical field of medical equipment, and discloses an external oxygen supply method, an external-oxygen-free oxygen supply method and a quantitative oxygen supply method, and provides three core modes: in an external oxygen supply mode, redundant oxygen during extrusion is recycled and reused through a gas storage bag, and overpressure is prevented in combination with a pressure release valve; in the oxygen supply mode without external oxygen, pure manual extrusion air supply is achieved through a shell which can be replaced or arranged outside the air bag in a sleeving mode, and the device adapts to the oxygen-source-free environment; in the quantitative oxygen supply mode, the inflatable inner bag is arranged in the air bag to accurately limit the oxygen storage space in advance, and accurate control over the single tidal volume is achieved. According to the invention, the oxygen utilization rate is obviously improved, the use safety is guaranteed, and the application capability of the simple respirator in precise ventilation and emergency scenes is expanded.

This invention belongs to the field of particulate matter toxicity assessment for environmental health, and discloses a health risk assessment method based on the respiratory tract deposition rate of particulate matter of different sizes and its application. The method collects the concentrations of toxic benzene series compounds and naphthalene in human exhaled breath and atmospheric particulate matter of different sizes in the environment; detects human tidal volume and respiratory rate to obtain minute ventilation. Then, using the ICRP model combined with Python software to process the data, the respiratory tract deposition fractions of benzene series compounds and naphthalene in different regions of the human respiratory tract are obtained. Finally, the respiratory tract deposition amount is obtained based on the respiratory tract deposition amount formula, and the deposition rate of benzene series compounds and naphthalene in the human respiratory tract is obtained by dividing the respiratory tract deposition amount by time. This method is simple, fast, and highly accurate, effectively exploring the deposition rate of toxic components in different particle sizes of particulate matter in the main parts of the human respiratory tract and corresponding health risk assessment, which is of great significance for health exposure to environmental pollutants.

The invention discloses a plateau altitude self-adaptive compensation system and method for an emergency breathing machine. The plateau altitude self-adaptive compensation system comprises a sensing module, a control module, a power module, a gas circuit driving circuit, a man-machine interaction module, an execution module and an additional function module. Acquiring a plateau altitude self-adaptive compensation data set; the plateau altitude adaptive compensation data set comprises altitude height information, fan parameter information, atmospheric pressure information, airway pressure information, gas flow information and temperature information; training a preset fan drive control model by using the plateau altitude self-adaptive compensation data set to obtain an optimized fan drive control model; and processing plateau altitude self-adaptive compensation data to be processed by utilizing the optimized fan drive control model to realize plateau altitude self-adaptive compensation of the emergency breathing machine. The method can adapt to different altitudes and automatically compensate the influence of atmospheric pressure change on tidal volume and minute ventilation output precision.

The invention relates to the technical field of medical instruments, in particular to a self-adaptive respirator parameter optimization system and method based on artificial intelligence, and the self-adaptive respirator parameter optimization system is constructed by combining real-time collection of a high-precision sensor, depth time sequence modeling and intelligent prediction based on TimesNet at a cloud end and closed-loop self-adaptive parameter adjustment. Specifically, one-dimensional breathing signals are reconstructed into multi-cycle 2D representation at the cloud end, multi-scale feature extraction is carried out, short-term and medium-term breathing parameter changes can be predicted more accurately, and predicted values serve as feed-forward input to work cooperatively with traditional PID closed-loop control. Therefore, smooth and real-time adjustment of key parameters such as airway pressure, tidal volume, respiratory rate, humidifier, fan and the like is realized. According to the method, the adaptive capacity and parameter adjustment precision of individual breathing modes of different patients are remarkably improved, and manual intervention and error risks are reduced.

The invention comprises a method of operating a breathing apparatus comprising measuring a baseline breath flow parameter being respiratory rate and / or tidal volume or a parameter derived therefrom, varying the flow rate provided by the breathing apparatus, measuring a current breath flow parameter being respiratory rate and / or tidal volume or a parameter derived therefrom, comparing the baseline and current breath flow parameters, and altering operation of the breathing apparatus based on the comparison. The invention also comprises a breathing apparatus that implements the above method.

The invention is suitable for the technical field of breathing machines, and particularly relates to a breathing machine control method and system based on sleep behavior data, and the method comprises the steps: obtaining behavior data and first operation data; wherein the behavior data comprises first behavior data used for reflecting abdominal diaphragm movement when the user sleeps and second behavior data used for reflecting respiratory movement when the user sleeps; determining an adjustment gain parameter based on the first behavior data; based on the second behavior data and the adjustment gain parameter, identifying sleep feature data used for reflecting a breathing machine tidal volume adjustment demand actually needed by the user in the sleep process from the first operation data; and after the first operation data is adjusted based on the adjustment gain parameter, second operation data is generated based on the sleep feature data and the adjusted first operation data. According to the method, when the user sleeps at night, the tidal volume of the breathing machine conforms to the sleeping habit of the user, and therefore the use experience of the breathing machine is improved.

This invention discloses a method for determining peak oxygen uptake and tidal volume based on multimodal physiological information characteristics, belonging to the field of physiological signal monitoring and evaluation technology. It addresses the problem of inaccurate calculation results of peak oxygen uptake and tidal volume in current personnel systems. The method involves: constructing a testing procedure for test subjects based on standard personnel data; acquiring real-time personnel data based on the testing procedure; determining whether the real-time heart rate of the test subjects is abnormal based on the real-time personnel data; dividing the real-time personnel data into resting data and exercise data; calculating the real-time resting tidal volume and resting peak oxygen uptake of the test subjects based on the resting data; constructing a testing time period for the test subjects using the exercise data; and calculating the real-time exercise tidal volume and exercise peak oxygen uptake of the test subjects within the testing time period. This invention achieves accurate calculation of tidal volume and oxygen uptake under different conditions.

The invention discloses a tidal volume measuring system for an anaesthesia machine pipeline, and the tidal volume measuring system comprises a near-end detection assembly, a differential pressure sensor, a differential amplifier and a microprocessor, the near-end detection assembly comprises an external flow sensor, and the external flow sensor is arranged on a tracheal catheter; the external flow sensor is arranged in the tracheal catheter and used for converting gas flow energy in the tracheal catheter into the pressure difference between the pressure high end and the pressure low end of the external flow sensor, and the pressure difference sensor is used for converting the pressure difference between the pressure high end and the pressure low end into a pressure difference electric signal. And the microprocessor is used for obtaining the gas flow in the tracheal catheter according to the electric signal output by the differential amplifier. The external flow sensor is arranged in the tracheal catheter, the flow energy of the gas in the tracheal catheter is directly detected, the actual tidal volume of a patient can be reflected more truly, interference caused by the volume change of a pipeline is avoided, and therefore the measurement error is remarkably reduced, and the gas flow measurement accuracy is improved.

An inhalation treatment device comprises a housing body (4), a reservoir (2), a membrane unit comprising a membrane (5), an actuator (6) and a flow path (7). A liquid is supplied to the first side of the membrane, and an aerosol is generated at the second side. A flow is created in a first flow direction from the second opening to the first opening of the flow path upon inhalation and a flow is created in a second flow direction from the first opening to the second opening upon exhalation. The second opening is shaped to establish a flow resistance of 160 Pa + / -100 Pa upon inhalation of the user, and the flow resistance upon exhalation is at least 25% lower than the flow resistance upon inhalation, the flow resistance measured at peak flow rates of sinus breathing modes with inhalation and exhalation times of two seconds, respectively, and tidal volume of 500 ml.

This invention relates to the field of medical device technology, and in particular to a drive control method and system for respiratory motion simulation. The method includes: acquiring respiratory parameters, including target tidal volume, respiratory rate, inspiratory-expiratory ratio, and waveform pattern, through a host computer and transmitting them to a main control unit; the main control unit runs a respiratory clock, determines the respiratory cycle based on the respiratory rate, and divides the cycle into inspiratory and expiratory phases based on the inspiratory-expiratory ratio; then, calculates the theoretical tidal volume in real time based on the current time and waveform pattern; calculates the reference speed based on the tidal volume change rate; simultaneously acquires the current mechanical load state of the simulation device and the corresponding compensation coefficient; dynamically corrects the reference speed using the compensation coefficient to generate a target speed command; finally, controls the motor to run according to the command, and monitors the current or stall signal in real time during operation; when the signal exceeds the limit, controls the motor to stop or adjust, thereby achieving high-precision, high-load adaptability, and high-safety respiratory motion simulation.

The invention discloses a plasma metabolism biomarker combination for predicting and intervening propofol-induced respiratory depression, a detection method and application, and relates to the technical field of biological science. According to the method, non-target metabonomics detection is conducted on preoperative plasma of 298 subjects through UPLC-MS, 14-metabolite panels are obtained through machine learning supervised feature screening, a diagnosis model is established through verification of discovery and verification queues, and the prediction AUC of severe respiratory depression reaches 0.86-0.91 (discovery queue) and 0.86-0.91 (verification queue). Mouse in-vivo function verification proves that the key metabolite alpha-linolenic acid obviously improves the respiratory rate, the tidal volume and the minute ventilation volume under two administration paradigms of pretreatment and treatment of a mouse propofol-RD model, shortens the recovery time of righting reflex, has a good safety foundation, and has a good application prospect. Prompt can be converted into a foresight supplement or rapid treatment medication thought in a perioperative period, and a'prediction and intervention 'integrated clinical value is formed.

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

This invention discloses a method for estimating airway resistance and compliance. The method includes: acquiring multiple sets of sampled data and acquiring a preset discrete nonlinear airway resistance model. Each set of sampled data includes airway pressure, total flow rate, and tidal volume sampled at a single sampling time. Based on the multiple sets of sampled data and a pre-established parameter update model, preset parameters in the discrete nonlinear airway resistance model are solved to obtain parameter values. Based on the parameter values ​​and the substitution relationships between the preset parameters and linear airway resistance, nonlinear airway resistance, and lung compliance, linear airway resistance, nonlinear airway resistance, and lung compliance are solved. The linear airway resistance and lung compliance are used to effectively control the ventilation modes of anesthesia machines and ventilators to suit various usage situations for different users. Furthermore, devices, equipment, and media for estimating airway resistance and compliance are also proposed.

The application provides a simulation breathing system, which comprises an air inlet pipeline, an air outlet pipeline, a tidal volume pipeline, a residual volume pipeline, a tidal volume simulation device and a residual volume simulation device. The tidal volume simulation device is arranged on the tidal volume pipeline, and the residual volume simulation device is arranged on the residual volume pipeline. The tidal volume simulation device is used for providing air volume in a tidal volume range, and the residual volume simulation device is used for providing air volume in a residual volume range. The outlet end of the tidal volume pipeline and the outlet end of the residual volume pipeline are both connected with the inlet end of the air outlet pipeline, and the inlet end of the tidal volume pipeline and the inlet end of the residual volume pipeline are both connected with the outlet end of the air inlet pipeline. The application can highly simulate a living body test environment and provide a relatively real bionic environment for a related scientific research field.

This invention relates to the interdisciplinary field of computer image detection and biomedical engineering, and discloses a method and system for respiratory motion monitoring based on Kinect. The method includes: simultaneously acquiring Kinect 3D point cloud sequences and bioimpedance time-series data; extracting first and second respiratory signals respectively; evaluating Kinect signal quality in real time, and generating continuous respiratory waveforms using a main signal output or dynamic weighted fusion strategy under non-interference, interference, and transitional states respectively; and calculating respiratory rate, relative rate of change of tidal volume, and rhythm variation coefficient. The system includes a Kinect sensing unit, a bioimpedance measurement unit, a signal processing and fusion unit, and a respiratory parameter calculation unit. This invention significantly improves the robustness and reliability of respiratory monitoring in complex scenarios through dual-modal redundant sensing and adaptive fusion mechanisms.

This application provides a tidal volume adjustment method and an anesthesia machine based on a second-order large closed loop. The method includes: adjusting the tidal volume when the tidal volume change is located in the bias oscillation zone or the arithmetic oscillation zone; obtaining the linear values ​​of the upward and downward adjustment of a proportional valve based on the deviation between the tidal volume and the target value; and adjusting the upward and downward adjustment flow rates based on the linear values ​​of the upward and downward adjustment of the proportional valve. The advantage of this application is that the tidal volume adjustment method based on a second-order large closed loop provided by this application can effectively prevent the tidal volume change from falling into the oscillation zone and can quickly adjust the tidal volume value to the target tidal volume.

The invention provides a medical breathing machine and a method and system for continuously measuring and calculating respiratory tract resistance and compliance of the medical breathing machine. The method comprises the steps that a pressure sensor obtains an airway opening pressure signal, and a flow sensor obtains a gas flow signal; the signal processing and calculating unit synchronously collects the two signals at a high sampling rate, and performs real-time integration on the flow signals to calculate the tidal volume; setting a sliding time window covering the current inspiration phase, and collecting data points containing pressure, flow and tidal volume values in the window; applying a least square method to perform linear regression fitting on data points, and solving respiratory tract resistance and respiratory system compliance based on a respiratory mechanics equation; recursively executing the steps of acquisition, calculation, window setting, data point collection and fitting; the man-machine interaction interface displays a calculation result trend chart, and an alarm is triggered when a numerical value exceeds a preset threshold value. According to the method, high-frequency synchronous sampling and recursive fitting of the sliding window and the least square method are adopted, continuous, real-time and high-precision measurement and calculation of successive respiration are achieved, and intermittency and hysteresis of a traditional method are overcome.

This application provides a flow control method for an electronically controlled flow meter and an anesthesia machine. The method includes: during the entire inspiratory-expiratory cycle, the electronically controlled flow meter only outputs fresh gas during the inspiratory phase; when outputting fresh gas during the inspiratory phase, the shape of its flow waveform is the same as the flow waveform of the inspiratory valve of the respiratory delivery unit. The advantage of this application is that, compared to traditional methods, the time to reach the target pressure or tidal volume is several inspiratory-expiratory cycles faster.

This invention relates to a ventilation detection device for patients with myasthenia gravis based on testing and detection, comprising: a muscle strength monitoring module, including an electromyography (EMG) sensor for acquiring EMG signals and calculating a muscle strength index; a respiratory monitoring module, connected to a mechanical ventilation device, for acquiring the patient's respiratory rate, tidal volume, and inspiratory time parameters; a blood detection module for collecting blood samples from the patient and detecting the levels of inflammatory factors and anti-acetylcholine receptor antibodies in the blood; and a control module for receiving muscle strength index data, respiratory parameter change trend data, and blood detection data; when the muscle strength index is lower than a preset first threshold, the respiratory parameter change trend is inconsistent with a preset pattern, and the levels of inflammatory factors or anti-acetylcholine receptor antibodies in the blood are higher than a preset second threshold, patient-ventilator resistance is determined to exist during ventilation.

The invention discloses a pediatric clinical breathing machine and a use method thereof, and belongs to the technical field of breathing machines. The pediatric clinical breathing machine comprises a host, a breathing pipeline and a data acquisition module; a main control module and an intelligent sensing module are arranged in the host, the breathing pipeline is a hollow pipeline, one end of the breathing pipeline is connected with a gas output port of the host, the other end of the breathing pipeline is provided with an interface in butt joint with the mouth and nose of a child patient, and the data acquisition module is used for acquiring breathing parameters and blood oxygen parameters of the child patient; the intelligent sensing module generates an adjusting instruction based on the breathing parameters and the blood oxygen parameters and uploads the adjusting instruction to the main control module, the main control module dynamically adjusts output airflow parameters of the gas output port based on the adjusting instruction, and the output airflow parameters comprise the tidal volume, the inspiration pressure, the breathing frequency and the inspiration-expiration ratio. Real-time detection and intelligent regulation and control of infant breathing parameters are achieved, and the problem that an existing infant breathing machine depends on manual parameter setting and is difficult to dynamically adapt to changes of a child patient is solved.

The application discloses a kind of respiratory monitoring system, method, equipment and storage medium, it is related to computer technical field, comprising: waveform chart drawing module is used to draw lung impedance waveform chart based on real-time acquisition lung impedance data and acquisition time;Respiratory frequency determination tool is used to determine respiratory frequency based on the number of wave crest, wave trough in preset time in lung impedance waveform chart;Tidal volume calculation tool is used to determine the average of lung impedance data corresponding to current one breath based on lung impedance waveform chart, and tidal volume is obtained by calculating lung impedance data average and tidal volume base value corresponding to current one breath;Respiratory monitoring module is used to carry out respiratory monitoring using minute ventilation determined based on tidal volume and respiratory frequency corresponding to current one breath.The application links lung impedance data and respiration, and determines minute ventilation by tidal volume and respiratory frequency to carry out respiratory monitoring, can improve the accuracy and efficiency of respiratory monitoring without harming human body.

A medical device for ventilating a living being has functions for coordinating alarms (60, 60′). The configuration of the coordination is aimed at detecting undershooting (31) of a predetermined lower threshold value (30) of a tidal volume VT (13, 13′). The configuration makes it possible to avoid overestimations of non-critical situations (10′) by means of alarm delays, but is sufficiently sensitive with regard to critical situations (10).

The invention relates to the technical field of animal anesthesia experiments, and discloses a small animal anesthesia experiment device which comprises an electronic injection type atomization medicine feeding module used for forming a high-voltage electrostatic field and carrying out secondary atomization on anesthetic fog drops primarily atomized by the high-voltage electrostatic field through high-speed compressed air so as to generate anesthetic aerosol with the particle size of 1-5 microns and output the anesthetic aerosol; the induction cabin module is connected with the output end of the electronic injection type atomization medicine feeding module in a switchable mode; an animal anesthesia platform; the integrated mask module is connected with the output end of the electronic injection type atomization medicine feeding module in a switchable mode and used for monitoring the respiratory rate and / or the tidal volume of the experimental target wearing the mask in real time; the main control unit is electrically connected with the electronic injection type atomization medicine feeding module, the induction cabin module and the integrated mask module and used for adjusting the concentration of the anesthetic in the induction cabin module in the induction stage or dynamically adjusting the output amount of the anesthetic conveyed to the integrated mask module in the anesthesia maintaining stage.

The invention discloses an intelligent auxiliary breathing mask assembly. Comprising a mask main body provided with a supporting ridge and a segmented deformation space, and a buffer piece provided with a U-shaped curvature part. And when the concave surface of the curvature part is pressed, the side edge expands towards the two ends to reduce pressure and strengthen sealing. The processor controls circulating air inflation and deflation of all the spaces according to a preset period, and segmented pressure reduction and pressure sore prevention are achieved; the breathing cycle is judged by calculating the pressure change rate through high-frequency sampling, and synchronous switching of inspiration and expiration cycles is achieved; and based on the difference between the average tidal volume and the preset target, adaptively adjusting the deformation space state to correct the pressure set value. Through the combination of a refined structure and intelligent control logic, the sealing performance is guaranteed, and meanwhile the problems of instrument-related pressure damage and poor man-machine synchronism are effectively solved.