3974results about "Respirators" patented technology

Disclosed herein are systems and methods for monitoring at least one volatile breathing compound in respiratory gases of patients. A device includes a patient respiratory gas interface coupled via a connector to a gas sampling line. The line includes a first channel for conducting a predetermined flux of respiratory gases from the interface to an inlet of a sidestream gas monitor, which monitors carbon dioxide (CO2) content. A pump facilitates gas flow through the device and the monitor. An outlet of the monitor is coupled to a second channel for conveying gases away. A valve controls passage of respiratory gas from the monitor via the second channel by connecting or disconnecting the flux to / from at least one volatile breathing compound detector, which monitors compound content. A control unit monitors CO2 values and uses this as a signal to control the valve, enabling compound monitoring or bypass based on CO2 content.

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 embodiment of the invention provides a breathing machine inspiration detection method and device and a computer readable storage medium, and the method comprises the steps: collecting first pressure data and first flow data in a current breathing period, and calculating a target flow baseline according to the first pressure data, the first flow data and a preset fitting formula; calculating a virtual traffic baseline according to the target traffic baseline and the first traffic data; if it is judged that the inspiration triggering state is not reached or the virtual inspiration flow change rate in the inspiration triggering state is smaller than a preset flow change threshold value, second pressure data and second flow data of the next respiratory cycle are continuously collected, and the virtual inspiration flow change rate is calculated; and judging that inspiration is detected until the detected virtual inspiration flow change rate is greater than or equal to the preset flow change threshold value. According to the invention, the phenomena of inspiration detection delay, group delay and the like can be avoided, the difference between detected inspiration and actual inspiration is reduced, and the sensitivity of inspiration detection is improved.

The invention discloses an oxygenerator remote control system and method based on the Internet of Things, and belongs to the technical field of intelligent medical equipment and remote health management, and the method comprises the steps: S1, collecting multi-dimensional physiological data of a user in real time through a multi-source physiological signal collection module, a heart rate variability index and a body movement signal; s2, based on the multi-dimensional physiological data, processing is performed through a preset physiological state prediction model, and a unified physiological stress index is solved; s3, determining a predictive oxygen supply flow rate value in combination with the physiological stress index and a preset user basic oxygen supply flow rate; s4, according to the predictive oxygen supply flow velocity value, a control signal for a physical execution component of the oxygen generator is generated so as to dynamically adjust oxygen supply parameters, and conversion from passive compensation to active prediction is achieved.

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 gas passage for use in a PAP device configured to provide pressurized gas to a patient, including a passage casing with an air intake and an air outlet. The casing is configured to encompass and accommodate internal components and forms a chamber inside, where the chamber is configured to facilitate the flow and accumulation of gas. A blower is provided within the chamber to pressurize and output the gas. The internal components of the noise-reducing gas passage include noise reduction components configured to attenuate the noise of the gas entering the noise-reducing gas passage. These noise reduction components include a ventilation component, an intake pipe, and a flexible component at the air intake. Additionally, this disclosure specifies scientific and precise data requirements for the internal structure and positioning of the blower and noise-reducing components within the noise-reducing gas passage to achieve effective and excellent noise reduction.

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 relates to the technical field, and discloses an intelligent management method and system for oxygen inhalation, and the method comprises the steps: setting an oxygen flow mixing ratio and a quantitative parameter according to an expected treatment effect, and setting a simulation control for an operator to adjust the oxygen flow mixing ratio in real time; a plurality of sensors are connected to a main controller, data acquisition and state monitoring are carried out through the sensors, and oxygen flow acquisition and air mixing proportion are quantitatively displayed and charged; an air-oxygen proportional electromagnetic valve is arranged, a main controller receives a starting instruction, the air-oxygen proportional electromagnetic valve is controlled according to data collected by a sensor, the flow of mixed gas flowing through the proportional valve and the oxygen proportion are accurately controlled, and remote flow control and program control over oxygen supply are achieved. By means of the method, an intelligent management system for oxygen inhalation is achieved, the whole machine is easy to operate through intelligent control, it is guaranteed that the oxygen flow is adjusted in real time according to the needs of a patient, and the dynamic needs are kept consistent.

The invention discloses a respiratory disease oxygen precise conveying system based on a sensor, and relates to the technical field of medical equipment, and the system comprises a sensing module which integrates multiple sensors to collect and process airway and physiological data of a patient; the disease matching module identifies disease types through database comparison; the dynamic adaptation module calculates exclusive oxygen concentration based on a multi-mode fusion initial algorithm; the conveying module executes adjustment; the closed-loop feedback module continuously fine-tunes the oxygen concentration through a closed-loop stepped fine-tuning algorithm to form a closed-loop link, so that accurate dynamic control of oxygen delivery is realized; according to the invention, multi-sensor collaborative acquisition and disease precise matching are combined with a dynamic algorithm and closed-loop feedback, so that individuation and dynamic oxygen delivery are realized, the system avoids misjudgment by relying on a standardized database, and the oxygen concentration, flow and pressure are ensured to be adjusted in real time along with physiological indexes of a patient through multi-parameter collaborative adjustment and stepped fine adjustment; the treatment comfort, the effectiveness and the long-term adaptability are improved.

The invention relates to the technical field of medical equipment control for anesthesia machine anesthetic gas output control, and discloses an anesthesia machine anesthetic gas output control system and method. The method comprises the following steps of: setting a control starting moment, initial and target concentrations, a rapid rising time length, a total time length and a middle and later stage slow change amplitude at one time before starting an anesthesia machine, and dividing the whole process into a rapid rising interval and a slow change interval; generating a concentration target according to a natural exponential function taking the rising time length as a time constant in the front stage, and obtaining a final value; a hyperbolic migration target slowly close to the target is constructed according to the target concentration, the slowly-changing amplitude and the rising duration in the rear section; and performing linear fusion on the final value and the hyperbolic target through a piecewise constant and time exponential decay weighting function to obtain a continuous and smooth target concentration curve, converting into a theoretical valve opening according to an anesthetic original concentration proportion, discretizing into an instruction opening in combination with an opening resolution, and forming a discrete control sequence in cooperation with fixed update time.

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 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.

An embodiment provides a method of producing a three-dimensional (3D) model of an object based on a single, frontal input two-dimensional (2D) image. In one example a method includes obtaining an actual, frontal 2D image of an object and generating a pair of synthetic 2D multiview images of the object based on the actual, frontal 2D image of the object. A 3D model of the object is produced based on at least the pair of synthetic 2D multiview images. The 3D model conserves an asymmetry of the object. An output using the 3D model of the object is produced that conserves the asymmetry.

Systems and methods for delivering a gas, such as nitric oxide, are provided. In some embodiments, systems and methods are provided for delivering a gas, such as nitric oxide, in the form of nanobubbles and / or a dissolved gas using a liquid medium.

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 utility model provides a precise delivery device for delivering drug aerosol. Wherein the precise delivery device for delivering a drug aerosol comprises: a housing sized and shaped to be graspable in a hand of a user; the medicine bomb assembly can atomize a set dose of medicine into aerosol, and an aerosol channel used for conveying the aerosol is formed in the medicine bomb assembly; a flow generator for generating a positive pressure gas flow that delivers the aerosol to the respiratory tract; the control unit is used for receiving an operation instruction and driving the medicine bomb assembly to output aerosol of medicine and the flow generator to generate positive pressure airflow; wherein the cartridge assembly, the flow generator and the control unit are all received in the shell. The utility model has the beneficial effects of small and exquisite structure, easiness in carrying, convenience in use and capability of accurately dosing.

The invention discloses a respiratory intensive care method and system, and the method comprises the steps: deploying an acoustic sensor on a respirator loop, and synchronously obtaining the ventilation parameters and optional temperature and humidity data of a respirator; preprocessing the acquired multi-modal data, and converting an acoustic signal into a time-frequency spectrogram; the preprocessed data are input into a multi-modal fusion fault recognition model, the model comprises a convolutional neural network branch used for extracting acoustic features and a recurrent neural network branch used for capturing time sequence dynamics, and the probability of a specific fault precursor is output by combining the features of all the branches through a fusion layer; and finally, performing early warning decision according to the probability. The invention also comprises a system for implementing the method. According to the invention, through deep fusion of acoustic, pneumatic and thermodynamic data, accurate prediction of fault precursor is realized, and an earlier time window is provided for clinical intervention, so that the monitoring safety is improved.

Disclosed is an NO delivery device for supplying an NO-containing gas, including an NO injection line, a flow rate measurement device and a valve device. The valve device is normally closed. An emergency line connected to the injection line includes an emergency solenoid valve, which is normally open, and a flow rate control device. An operating unit operates these elements. In the event of malfunction of the operating unit, the emergency solenoid valve passes to an open position, whilst the valve device passes to a closed position. The flow rate control device supplies the gas at a pre-fixed emergency flow rate of gas, determined on the basis of the gas flow rate measurements supplied by the flow rate measurement device during the normal functioning of the device prior to the malfunction. Gas supply installation including such an NO delivery device and a medical ventilator.

The invention discloses an oxygen therapy instrument control system and method and a storage medium, and the system comprises an oxygen saturation obtaining module which is used for obtaining the current blood oxygen saturation value of a user; the air and oxygen flow control module is used for controlling the mixed air and oxygen flow; the oxygen concentration control module is used for controlling the concentration of oxygen in the air-oxygen gas; and the analysis control module is used for inputting the initial air-oxygen flow and the oxygen concentration, and carrying out stepped control adjustment on the air-oxygen flow and the oxygen concentration according to the current blood oxygen saturation value of the user, so that the equipment parameters of the oxygen therapy instrument gradually approach to the body characteristics of the user. Gradient adjustment and real-time calculation can be carried out, adjustment is accurate, intelligent regulation and control are achieved, it is guaranteed that the oxygen therapy instrument is suitable for the physical condition of a user in real time, real-time manual adjustment is not needed, and discomfort of the user or oxygen waste caused by inapplicable parameters is also avoided.

The invention discloses a distributed sensing oxygenerator monitoring method and system, relates to the technical field of medical equipment, and aims to solve the problems of single point monitoring information, fault early warning delay, high centralized management response delay, low fault positioning efficiency, lack of distributed collaborative optimization capability and the like in the existing oxygenerator monitoring technology. Comprising the steps that distributed multi-source heterogeneous sensing data collection and edge preprocessing are carried out; constructing and maintaining a dynamic topology communication network of the oxygen generator; carrying out distributed fault propagation modeling and root cause positioning by using a graph neural network; and carrying out distributed collaborative optimization based on a modeling result. By adopting the above technical scheme, the response delay can be obviously reduced, the efficiency and accuracy of fault early warning and root cause positioning can be greatly improved, and the adaptive collaborative optimization of the distributed oxygen generator group can be realized.

The invention relates to the technical field of multi-parameter physiological signal monitoring, in particular to an intelligent laryngeal mask and respiration monitoring system which comprises a laryngeal mask body and a multi-parameter optical fiber measuring system. The optical fiber sensing unit is embedded into the laryngeal mask main body and comprises an acoustic sensing part and an environment sensing part with a functional coating; the signal processing unit demodulates and couples an original signal, combines physical parameters of the coating and inputs the original signal into a multi-parameter coupling correction model, and decouples independent and accurate multiple parameters; and the target thickness of the coating is determined through acoustic correction error minimization and comprehensive calculation that the sensitivity of each environmental parameter reaches the standard. The system can generate an abnormal ventilation alarm and feed back to control the breathing machine. Multi-parameter synchronous monitoring can be achieved, coating interference is eliminated, and breathing management safety and practicability are improved. In the actual application process, the abnormal breathing function caused by abnormal breathing machine state or abnormal laryngeal mask position of a user can be found in time, the purpose of early discovery and early intervention can be achieved, and malignant events are avoided.

The invention relates to the technical field of medical equipment, in particular to an anaesthesia machine anesthetic consumption monitoring method and an anaesthesia machine, the flow monitoring reference accuracy is ensured through initialization calibration, and the anesthetic consumption is monitored by automatically identifying the anesthetic type and introducing the corresponding volatilization efficiency coefficient. Calculation deviation caused by difference of physicochemical characteristics of different medicines is overcome, and then the problems of low efficiency, personal errors, poor adaptability and the like existing in a traditional manual recording and simple electronic metering mode are solved by combining real-time collected fresh gas flow and set concentration. And finally, the accuracy and the reliability of the anesthetic consumption monitoring result are improved. The technical problem that in the prior art, anesthetic consumption monitoring is low in accuracy and reliability is solved.

Pulmonary treatment devices, systems and methods of use are provided which take into account the vast tissue damage of advanced COPD sufferers and provide treatments designed specifically to treat the particularly compromised lung tissues that are present in these patients. These treatments reduce trapped air volume, tension lung tissue and enhance lung elastic recoil. In particular, a variety of embodiments of pulmonary treatment devices are provided. The devices are comprised of a shape memory material wherein the devices are able to be expanded under tension, and then are able to recoil back toward an original relaxed or resting shape as the devices are deployed into the tissue. This action causes the pulmonary treatment devices to corkscrew into damaged tissue, becoming sufficiently entwined to allow pulling of the tissue by retraction of the device. This in turn re-tensions the lung causing lung volume reduction.

Embodiments of the present disclosure provides a respiratory ventilation apparatus including: a main body configured to generate a high pressure gas above atmospheric pressure. The main body may include a noise reduction device, the noise reduction device being configured to reduce a noise generated during an operation of the main body. The noise reduction device may include a gas inlet structure, a noise reduction housing, a blower cavity, and a gas channel. A gas may enter the gas channel through the gas inlet structure. The gas channel may be formed between a sidewall of the noise reduction housing and a sidewall of the blower cavity, and the gas channel may be configured to transfer the gas. The blower cavity may be disposed with at least one cavity gas inlet along a gasflow direction. The gas in the gas channel may enters the blower cavity through the cavity gas inlet.

The invention relates to the technical field of respirators, and discloses a respirator flow dynamic adjusting system based on airflow sensing, which is characterized in that after starting, a multi-mode sensing module acquires spatial flow velocity distribution and dynamic characteristics of respiratory airflow, and generates a composite data flow fused with flow field information; the composite data flow is subjected to nonlinear analysis to generate a state vector representing breathing stability, and the state vector is used for identifying fluid abnormal risks; the state vector generates an optimized execution instruction set by the self-adaptive control engine in combination with the energy state of thermoelectric conversion; the execution instruction set drives the piezoelectric valve and the shear response humidifying layer to cooperatively adjust the flow and the humidity, and outputs physiologically matched breathing gas; fusion collection of spatial flow velocity distribution and dynamic characteristics of respiratory airflow is achieved through the multi-mode sensing module, the limitation of traditional single-point measurement is broken through, and the sensing precision is remarkably improved; a breathing chaos index is constructed through nonlinear kinetic analysis, and early warning of the breathing rhythm stability and the fluid abnormal risk is achieved.

The application discloses a ventilator humidification tank, which comprises a tank body and an internal chamber. The tank body is provided with an air flow inlet and an air flow outlet, and the internal chamber can contain humidification liquid and is communicated with an external air path. The tank body comprises an insertion end and a holding end. The insertion end can be inserted into the inside of a ventilator main machine. The humidification tank further comprises an air inlet flow guide part with a first end and a second end. The first end is in sealed connection with the air flow inlet, and the second end is communicated with the internal chamber. The air inlet flow guide part comprises a flow guide pipe with a bending extension. The flow guide pipe comprises a first flow channel and a second flow channel. When the humidification tank is rotated by not more than 90 degrees in any direction from a working position, the humidification liquid cannot enter the first flow channel, so as to prevent the humidification liquid from flowing out of the air flow inlet. According to the application, the air path inside the air inlet flow guide part is designed to be bent and extended, so that the reverse flow path of the humidification liquid in the flow guide pipe is more tortuous. Even if the machine body is tilted, the humidification liquid will not flow back, so that the safety of the air blower is ensured.

The present disclosure relates to an inhaler component for producing a steam / air mixture or / and condensation aerosol in an intermittent and inhalation- or pull-synchronous manner, the inhaler component including: a housing; a chamber arranged in the housing; an air inlet opening for the supply of air from the surroundings to the chamber; an electrical heating element for evaporating a portion of a liquid material; and a wick having a capillary structure, which wick forms a composite structure with the heating element and automatically supplies the heating element with fresh liquid material after evaporation.

A high-flow respiratory system operable to promote gas exchange in a patient's airway via a non sealing interface comprising: a humidifier connected to or for receiving a gas from at least one gas source, and a controller for operating the respiratory system, the respiratory system configured to provide a high-flow, heated and humidified gas flow with a unidirectional varying flow rate comprising oscillations, at one or more oscillation frequencies, about a base flow rate.

The invention discloses a patient transfer intelligent monitoring platform based on the Internet of Things and the intelligent wearing technology, and relates to the technical field of transfer intelligent monitoring, and the platform comprises an intelligent wearing equipment module which is used for carrying out the time sequence collection of physical sign data in a transfer process, and obtaining a physical sign monitoring data sequence; the medical equipment interconnection module is used for carrying out simultaneous multi-terminal data acquisition; the data transmission network module is used for determining an infusion pump infusion speed analysis result, a physical sign abnormal mode analysis result, a monitoring terminal abnormal mode analysis result and an oxygen consumption reserve analysis result; and the alarm and display module is used for graded alarm and shared display of the electronic handover bill. The technical problems that in the prior art, continuous dynamic monitoring cannot be achieved in the transferring process of the invasive mechanical ventilation patient, the early warning capability is lacked, and handover communication is not smooth are solved, and the technical effects that physical sign data and medical equipment parameters in the transferring process of the patient are collected in real time, and transferring monitoring continuity and handover efficiency are improved are achieved.