91 results about "Respiratory pressure" patented technology

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.

The invention relates to a method for identifying a hypoventilation type, computer equipment and a storage medium. The method comprises the following steps: acquiring breathing state data of a target user; determining breathing characteristic information according to the breathing state data; the breathing characteristic information comprises a breathing peak change rate, a breathing pressure change rate and a breathing flow ratio; and according to the breathing peak change rate, the breathing pressure change rate and the breathing flow ratio, the hypoventilation type of the target user is determined. By means of the collected breathing state data, whether a hypoventilation event occurs or not can be judged, the specific hypoventilation type can be determined in combination with the characteristics of the hypoventilation type, only the breathing-related data is collected, the obtained data is not affected by motion artifacts and changes of the elastic inertia of the pipeline, and the accuracy of hypoventilation is improved. The accuracy of the data for determining the hypoventilation type is improved, so that the accuracy of identifying the hypoventilation type is improved.

The invention relates to the technical field of equipment compensation control, and discloses a medical suction device with an altitude compensation function and a control method thereof. The method comprises the following steps: reading ambient air pressure data of a first pressure sensor, reading molecular sieve tank differential pressure data of a second pressure sensor, collecting pressure data of an output end of a third pressure sensor, and determining a real-time altitude according to the ambient air pressure data; a breathing pressure fluctuation value is calculated based on the molecular sieve tank differential pressure data, when the breathing pressure fluctuation value is lower than a preset negative pressure threshold value, the current breathing frequency is recorded, and nitrogen removal time, pressure equalizing time and flushing time are determined to control an electromagnetic valve to work; and when the oxygen concentration is lower than a first concentration threshold value and the real-time altitude height is lower than a preset height, increasing the nitrogen removal time by a first preset proportion and increasing the target rotating speed by a second preset proportion, and when the oxygen concentration is lower than a second concentration threshold value, stopping the operation of the compressor and closing all the electromagnetic valves. According to the invention, the false alarm rate is effectively reduced, and the equipment safety is improved.

The invention relates to the technical field of breath monitoring, in particular to a big data intelligent health breath dynamic monitoring method and system and a terminal. The method comprises the following steps: acquiring a time domain interval of each respiratory cycle according to change characteristics of a respiratory pressure signal; further obtaining work doing amount corresponding to each breathing cycle, and dividing breathing modes; the newest seasonal period of the respiratory pressure signal is further extracted, and a respiratory stability coefficient is obtained according to the change characteristics of work doing amounts of respiratory periods with adjacent time sequences in the seasonal period in combination with the number distribution characteristics of the respiratory periods of the respiratory mode; furthermore, when the breathing stability coefficient is larger than or equal to the preset stability threshold value, the predicted breathing pressure signal is obtained and verified, and finally the predicted breathing mode is obtained according to the final predicted breathing pressure signal, so that the hysteresis of real-time processing is reduced, the response speed of breathing support is increased, and the comfort is improved.

The embodiment of the invention relates to a lung function detection system which comprises a trolley used for bearing all functional modules of the detection system; the ventilation module comprises a valve body and a valve element, and the valve element is switched to be connected or disconnected with a valve body channel through actions so as to form different ventilation paths; the airway resistance module is configured to detect airway resistance parameters in the breathing process; the digital handle comprises a flow velocity tube provided with a total pressure channel, a static pressure channel and a sampling channel, the digital handle is configured to be selectively installed on the ventilation module or the airway resistance module, the breathing pressure is obtained through the total pressure channel and the static pressure channel in the breathing test process, and a corresponding gas sample is collected through the sampling channel; wherein the ventilation module is installed on the trolley through the first mechanical arm, the air channel resistance module is installed on the trolley through the second mechanical arm, and the digital handle is detachably connected to the trolley, the ventilation module or the air channel resistance module.

A vent assembly for a respiratory pressure therapy (RPT) system. The vent assembly can include a vent housing having a first orifice configured to receive a flow of pressurized gas from an RPT device, and the vent housing having a plurality of holes to discharge the pressurized gas to atmosphere; a vent housing connector having a second orifice configured to direct the flow of pressurized gas to a patient interface; and a heat and moisture exchanger (HME) comprising a HME housing and a HME material within the HME housing, wherein the vent housing and the vent housing connector are configured to at least partially connect to form a cavity, and wherein the HME is positioned in the cavity when the vent assembly is assembled.

The invention relates to the technical field of auxiliary medical treatment, in particular to an oxygen generator on-demand pulse oxygen supply control method based on respiratory rhythm perception, and the method comprises the steps: obtaining a plurality of respiratory pressure sequences, and dividing the respiratory pressure sequences into an expiratory phase and an end-expiratory transition section; determining a signal confidence coefficient according to the performance of the expiratory phase and the end-expiratory transition section in the respiratory pressure sequence; a regularization item of physiological rationality constraint is introduced into the regression loss function, and time sequence smooth constraint is applied to a model cell state updating process to obtain an optimized respiratory rhythm prediction model; taking the three-dimensional feature vector as input data of a respiratory rhythm prediction model to obtain an end-expiratory stationary section duration ratio of a next respiratory cycle; and determining a pre-judgment window period from the beginning of inspiration according to the duration proportion of the end-expiratory stationary section of the next respiratory cycle, and controlling pulse oxygen supply of the oxygen generator by taking the pre-judgment window period as a pulse trigger countdown parameter of the oxygen generator, thereby realizing accurate synchronization of the oxygen supply action and the inspiration action.

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 utility model relates to a weight for respiratory training and a respiratory training device, the weight for respiratory training comprises a cavity, a cover matched with the cavity, a magnet, a balancing weight and an iron sheet, the iron sheet is arranged at the bottom of the cavity, the balancing weight is arranged on the iron sheet, and the magnet is arranged between the balancing weight and the cover. The other end of the airflow pipeline is connected with one end of the air guide pipe, and the other end of the air guide pipe is connected with the breathing mouthpiece. The breathing training device has the following technical effects: 1, the breathing training device is more reliable, the breathing weights are not separated in the breathing training process, the airflow in the breathing device cylinder is more stable, and the breathing pressure impedance is ensured to be stable to a certain extent, so that the difficulty of breathing training of a user is kept; 2, the production efficiency is improved; the structure of the breathing weight is a cavity, the weight of the weight is changed by changing the material and the weight of the balancing weight, and breathing weights of different specifications and weights can be rapidly produced.

This application provides a method, system, and device for ventilator mask recognition based on transfer learning. The method collects time-series data of respiratory flow and pressure using flow and pressure sensors inside a home ventilator; a data preprocessing module cleans the time-series data to obtain high-quality respiratory flow and pressure time-series data; a data segmentation module divides the preprocessed time-series data into discrete flow and pressure data segments; a transfer learning module transfers the parameters of the source model to the target model, and the target model is trained and fine-tuned using the segmented discrete flow and pressure data segments to obtain the final mask type recognition model. The final mask type recognition model can accurately predict the ventilator mask type based on respiratory flow and pressure signals. This application utilizes transfer learning to improve the robustness of the model to mask type recognition across individuals and devices.

The invention discloses a breathing machine which comprises a detection device arranged between an air outlet pipeline of the breathing machine and a mask; the device comprises a pressure detection unit or / and a sound detection unit. And the control module is used for controlling the rotating speed of a fan of the breathing machine according to the received pressure signal or / and sound signal. According to the breathing machine, due to the fact that the detection device is closer to the patient, the breathing pressure change or / and sound of the patient can be detected more quickly and more accurately and fed back to the control module in time, and the control module adjusts the rotating speed of the draught fan and adjusts the pressure of airflow conveyed to the mask in time. Therefore, the breathing machine can rapidly and accurately detect the breathing pressure change or / and sound of the patient and adjust the rotating speed of the fan in time so as to rapidly adjust the pressure of the airflow conveyed to the mask, and the technical problem that in the prior art, the breathing pressure or sound detection of the patient is not accurate is solved; and the technical problem that the fan of the breathing machine is not adjusted in time is also solved.

The present application relates to the technical field of respiratory monitoring, in particular to a big data intelligent health respiratory dynamic monitoring method, system and terminal. According to the change characteristics of the respiratory pressure signal, the time domain interval of each respiratory cycle is obtained; further, the work amount corresponding to each respiratory cycle is obtained, and the respiratory mode is divided; further, the latest seasonal cycle of the respiratory pressure signal is extracted, according to the change characteristics of the work amount of the time series adjacent respiratory cycles in the seasonal cycle, combined with the number distribution characteristics of the respiratory cycles of the respiratory mode, the respiratory stability coefficient is obtained; further, when the respiratory stability coefficient is greater than or equal to the preset stability threshold, the predicted respiratory pressure signal is obtained and verified, and finally the predicted respiratory mode is obtained according to the final predicted respiratory pressure signal, the hysteresis of real-time processing is reduced, the response speed of respiratory support is improved, and the comfort is improved.

A method for classifying a user of a respiratory pressure therapy (RPT) device is disclosed, the method comprising: identifying that the user has started a therapy session using the RPT device; receiving first input data associated with the user and the therapy session; training a machine learning model based on a plurality of pre-classified users and the first input data to determine associations between the user and the plurality of classifications; classifying the user as a classification in the plurality of classifications; and causing a user device and / or the RPT device to perform an action in response to classifying the user as the classification. The first input data may include a selection of the user in response to a survey cue.

A respiratory pressure therapy (RPT) system may be configured to direct a flow of air to a therapeutic pressure above atmospheric pressure to a patient interface worn by a patient to treat a respiratory disorder The RPT system may include: a component that at least partly forms a passage for the flow of air at the therapeutic pressure, the component being one of the patient interface, a flow generator including a blower, an air circuit, or a humidifier; and a vaporization device that includes: a vaporization module including a vaporizer and a heating element; and a reservoir attached to the vaporization module, and the reservoir being configured to store water and provide water to the vaporizer for vaporization during use, wherein at least a portion of the vaporizer is exposed to the passage for the flow of air at the therapeutic pressure.

A respiratory therapy system may include a vent structure. In one form the vent structure includes a vent housing, and a plurality of partitions inside the vent housing forming therebetween a plurality of vent slots. The vent slots include a vent inlet configured to receive an air flow, and a vent outlet configured to allow the air flow to exit into the surrounding ambient air. The partitions may be formed such that each vent slot has a smaller cross-sectional area at a first region closer to the vent inlet than a second region. The vent structure may include a plurality of deflectors configured to deflect the air flow through each vent slot towards a part of the vent housing and / or another component in the respiratory system. The vent structure may include a projecting portion extending outwardly from the vent outlet to inhibit generation of flow layer instabilities.

Disclosed are vents and vent assemblies for use with respiratory pressure therapy systems. In examples the vents are provided with a vent cover to aid with the diffusion of gasses passing through the vent. In other examples the vent cover is provided with a cavity configured to receive and slow the gas passing through the vent inlet.

Methods and apparatus provide for automatic circuit disconnect monitoring, such as for respiratory apparatus or systems. Disconnection of a patient circuit, including a patient interface and an air delivery circuit, can be detected and a message or alarm activated. In some versions, the occurrence of a circuit disconnect event can be detected based on a change in a disconnect set value, such as by a processor, from a transient disconnect parameter. The disconnect set value can be determined based on the patient circuit type. The transient disconnect parameter can be determined from detected pressure and flow, and can be, for example, a conductance value or an impedance value. The disconnect event can be discriminated by one or more detected respiratory indicators. In some cases, transient impedance or conductance can be used to assess reconnection of the patient circuit, detect flow starvation, determine triggering and cyclic respiratory shape, and detect patient or circuit occlusion.

A system and method to collect feedback data from a patient wearing an interface such as a mask when using a respiratory pressure therapy device such as a CPAP device. The system includes a storage device including a facial image of the patient. An interface in communication with the respiratory pressure therapy device collect operational data from when the patient uses the interface. A patient interface collects subjective patient input data from the patient in relation to the patient interface. An analysis module correlates a characteristic of the interface with the facial image data, operational data and subjective patient input data.

An apparatus for generating and providing a pressurized breathable gas to a patient's airways includes a respiratory pressure therapy (RPT) device having an engagement port pneumatically and electrically coupled to the RPT device, and an air delivery tube configured to engage the engagement port so as to pass a flow of breathable gas to a patient interface. The air delivery tube includes electric contacts associated with a heating and / or a sensing arrangement. The air delivery tube includes a locking collar rotatably movable between (1) an unlocked position to allow connection / disconnection of the air delivery tube to / from the engagement port, and (2) a locked position to releasably lock the air delivery tube to the engagement port. The air delivery tube is structured and arranged to, when the locking collar is rotated into the locked position, pneumatically connect to the engagement port and define an operational configuration of the apparatus.

A system and method of collecting feedback data from a patient wearing an interface such as a mask while using a respiratory pressure therapy device such as a CPAP device. The system includes a storage device including a facial image of the patient. An interface in communication with the respiratory pressure therapy device, the interface collecting operational data from the patient while using the interface. The patient interface collects subjective patient input data from the patient regarding the patient interface. An analysis module correlates features of the interface with the facial image data, the operational data, and the subjective patient input data.

The application provides a respiratory impedance detection method, comprising the steps of: generating an oscillating airflow at a fixed frequency f, collecting respiratory pressure and respiratory flow data of a subject under the oscillating airflow respectively; segmenting the data length of the respiratory pressure and respiratory flow according to the repetition rate respectively; performing Fourier transform on each segmented respiratory pressure and respiratory flow, calculating the respiratory impedance and respiratory reactance of each data segment at different frequency values, and obtaining an initial respiratory impedance-frequency graph and an initial respiratory reactance-frequency graph respectively; performing correlation denoising on the multiple respiratory impedance and respiratory reactance at each frequency value respectively, and obtaining a denoised respiratory impedance-frequency graph and a denoised respiratory reactance-frequency graph; and performing K-means clustering calculation on the denoised respiratory impedance-frequency graph and the denoised respiratory reactance-frequency graph respectively, and obtaining a respiratory impedance-frequency curve and a respiratory reactance-frequency curve. The detection method provided by the application has small errors and high accuracy.

The present invention discloses an oxygen concentrator, comprising a housing, a nitrogen-oxygen separation tower, a positive- and negative-pressure air compressor, an oxygen storage tank, and a control unit. The positive- and negative-pressure air compressor, the nitrogen-oxygen separation tower, the oxygen storage tank, the ultrasonic flowmeter, the electromagnetic proportional valve, and the oxygen outlet of the housing are sequentially connected. The oxygen storage tank, the housing, and the oxygen outlet of the housing are respectively equipped with a first pressure sensor, a second pressure sensor, and a pulsating pressure sensor electrically connected to the control unit. The control unit controls the motor speed of the positive- and negative-pressure air compressors to achieve continuous high-oxygen-concentration oxygen output based on a comparison between a pressure detection value of the first pressure sensor or the second pressure sensor and a preset value. The control unit adjusts the opening state of the electromagnetic proportional valve according to the respiratory pressure difference detection value of the pulsating pressure sensor, thereby adjusting the oxygen output flow rate. The present invention has the advantages of maintaining continuous oxygen supply at high oxygen concentrations in high-altitude areas, dynamically adjusting the oxygen output flow rate according to differences in human vital capacity, and ensuring high oxygen absorption efficiency.

Apparatus for generating a supply of air at positive pressure for the amelioration or treatment of a respiratory disorder comprising a housing, a blower structured and configured to produce a flow of air at positive pressure, a flexible connector electrically and physically connected to the blower; and a blower rotation limitation structure configured to reduce rotation of the blower during use. The apparatus may comprise first and second blower suspensions for holding opposite ends of the blower. The blower suspension(s) may be flexible and in tension. The apparatus may comprise one or more connector anchors for anchoring a longitudinal middle section of the flexible connector to another part of the apparatus.

The object of the present invention is to provide an eye mask system. [Solution] An eye mask system for providing respiratory pressure therapy (RPT) for the treatment of sleep-disordered breathing, comprising: an eye mask configured to cover the user's eyes when in use; and one or more transducers configured to affect the user's sleep and / or detect the user or the user's sleep characteristics. The eye mask system may include a connection port for receiving a pressurized airflow or flow generator, and the eye mask system may include a plenum chamber, a seal-forming structure for forming a seal with the user's facial area, and a vent for allowing gas exhaled by the user to flow outwards. The eye mask system may operate in a non-therapeutic mode in which RPT is not provided to the user, and in a therapeutic mode in which RPT is provided to the user.

This invention relates to one or more of the screening, diagnosis, monitoring, treatment, prevention, and improvement of respiratory diseases. The invention also relates to medical devices or apparatus and their use. [Solution] A method for manufacturing components and devices for providing respiratory pressure therapy, and a component manufactured according to the method. A support structure is provided for the component. In an embodiment, the support structure may be a rigid ring. Alternatively, an elastic material is added to the component to generate an elastic reinforcing element. These devices and components include a conduit for delivering a pressurized gas flow to a patient interface, a positioning and stabilizing structure having a headgear tube together with the support element, and a patient interface including the conduit.

The present invention includes sensor integrated block (SIB) system and method of using the same for real-time respiratory data comprising: a chamber comprising an inside, an inlet and outlet for air, wherein two or more first sensors are in fluid communication with the inside of the chamber, wherein the two or more sensors are selected from an oxygen sensor (2), a carbon dioxide sensor (3), a pressure sensor (4), and a temperature sensor (5); one or more second sensors selected from an SpO2 sensor (6) or a PaCO2 sensor; and a processor connected to each of the first and second sensors, and wherein the SIB system measures in real-time respiratory pressure and the inhalation and exhalation volumes of each breath of a patient.

The invention relates to a device for reducing interference respiration detection signals and a working method thereof. The device for reducing the interference respiration detection signals comprises an oxygen source, a three-way valve, a respiration pressure sensor, an oxygen inhaler, a single chip microcomputer and a driver. The three-way valve is connected with an oxygen source through a first connector, connected with an oxygen inhaler through a second connector and connected with a breathing pressure sensor through a third connector. The single chip microcomputer is electrically connected with the breathing pressure sensor and the driver, and the driver is electrically connected with the three-way valve; the breathing pressure sensor is used for sending a real-time breathing pressure value to the single chip microcomputer; the single chip microcomputer is used for sending a control instruction to the driver according to the real-time breathing pressure value; the driver is used for sending an interface switching instruction to the three-way valve according to the control instruction; the three-way valve is used for opening and closing the interface according to the interface switching instruction. According to the device for reducing the interference respiration detection signal, the working point of the respiration pressure sensor can be prevented from deviating, and the acquisition precision of the respiration detection signal is improved.

The present technology is directed to a respiratory pressure therapy system, that includes a plenum chamber pressurisable to a therapeutic pressure above ambient air pressure, a seal-forming structure to form a seal with an entrance to the patient's airways to maintain said therapeutic pressure in the plenum chamber throughout the patient's respiratory cycle in use, a positioning and stabilising structure constructed and arranged to provide an elastic force to hold the seal-forming structure in a therapeutically effective position on the patient's head, a blower configured to generate the flow of air and pressurise the plenum chamber to the therapeutic pressure, the blower having a motor, the blower being connected to the plenum chamber such that the blower is suspended from the patient's head and the axis of rotation of the motor is perpendicular to the patient's sagittal plane, and a power supply configured to provide electrical power to the blower.

The present invention provides a turbine speed control method, device, and motor-turbine system. The method comprises: collecting respiratory pressure values ​​within a respiratory duct in real time; generating a turbine speed control signal based on the difference between the respiratory pressure value and a preset pressure threshold; wherein the preset pressure threshold is set based on user requirements; comparing the turbine speed control signal with the preset turbine control threshold; and controlling turbine output based on the comparison result; wherein the output control includes sudden acceleration and braking. The present invention can improve the speed and accuracy of turbine pressure control.