5139results 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 provides an expectoration auxiliary control method and device. The method comprises the steps that audio signals of breathing sounds and cough sounds at multiple positions of the chest of a patient are collected through an audio sensor array, and a standardized audio feature data set is obtained through noise reduction, segmentation and feature extraction; a dynamic weighted graph model is constructed, and a random edge sampling algorithm and a parallel batch processing dynamic algorithm are combined to analyze and obtain a sputum viscosity index and a sputum distribution position map; based on the result, mapping the vibration parameter space into an unweighted disk diagram, and obtaining a personalized vibration treatment scheme by using a shortest path algorithm; in combination with the real-time breathing cycle of the patient, working parameters of the sound wave vibrator and the negative pressure suction device are synchronously controlled, and a coordinated and consistent multi-mode treatment execution instruction is obtained; and collecting real-time feedback data in treatment, and dynamically adjusting working parameters through reinforcement learning to obtain an optimized expectoration adjuvant therapy scheme. Intelligent adjustment can be achieved based on the real-time breathing state and sputum characteristics of the patient, the expectoration efficiency is improved, and discomfort of the patient is reduced.

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

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

The 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.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

The invention relates to a visual airway clearance device with an intelligent airway internal and external oscillation control function. The visual airway clearance device comprises an electrical impedance imaging device, a controller, an airway internal oscillation device and an airway external oscillation device. The electrical impedance imaging device is used for evaluating the lung ventilation function condition of a patient and transmitting measured lung ventilation function index parameters of the patient to the controller; the controller receives the pulmonary ventilation function index parameters of the electrical impedance imaging device, processes the pulmonary ventilation function index parameters and outputs a control signal; and after receiving the control signal, the air passage internal and external oscillation devices adjust the operation modes and parameters of the air passage internal and external oscillation devices in real time. The system has the advantages that a four-dimensional integrated structure of electrical impedance imaging visual evaluation, intelligent mode selection, double-oscillation cooperation and closed-loop feedback is created for the first time, the problem that the traditional technology cannot dynamically adapt to the heterogeneity of patients is solved, and personalized airway clearance modes and optimal adjustment parameters are provided for different patients; and the effect of removing airway deposited secretions is obvious.

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

The device comprises an assembly type bottom plate, an assembly rail is fixedly mounted in the middle of the top of the assembly type bottom plate, a mounting bottom plate is slidably connected to the interior of the assembly rail, and a pipeline buffering mechanism of the device compresses a torsional spring through a gear transmission system to store energy; during installation, after the oxygen hose sequentially penetrates through all the components, the torsion spring resets to drive the winding shaft to automatically wind the hose, random falling and winding of the hose are avoided, abrasion is reduced, the service life is prolonged, a ward is kept clean and tidy, and during use, when the hose is pulled, the torsion spring is triggered for buffering, a connector is prevented from loosening and falling off, and continuous oxygen supply is guaranteed. The medical risk is reduced; meanwhile, redundant hoses are automatically wound, the medical care arrangement burden is relieved, the hoses can be drawn out by opening an access door and twisting a winding shaft during overhauling, a large number of components do not need to be disassembled, the overhauling time is shortened, and the sickroom shutdown time is shortened.

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.

The invention relates to the technical field of breathing assisting devices, in particular to an intelligent temperature-control humidifying breathing critical patient assisting breathing nursing device which comprises a global perception fusion central system used for constructing a high-frequency biological characteristic thermodynamic map analysis layer and generating a particulate matter deposition energy level distribution model; forming a composite feature matrix; the self-adaptive airflow modulation matrix system is used for implanting a multi-order recursive calibration engine on the basis of a composite characteristic matrix, a spanning compensation strategy is generated through vectorization processing of a clinical characteristic curve, and a viscous resistance spectrum variation value of an expiratory phase triggers a self-consistent conversion mechanism every time; a dynamic balance point of an aerosol dispersion speed and a water molecule phase change threshold value is autonomously balanced, and a nanoscale lubricating interface of a gas transmission channel is maintained in real time; and the hierarchical response execution network system is used for designing a three-phase interlocking decision tree structure based on a thermodynamic energy level envelope line output by the compensation strategy. According to the invention, a brand new clinical response form exceeding linear control is constructed.

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.

A system and method for diagnosing and treating sleep disorders using a portable smart device. The device detects and records physiological parameters of a user during awake and sleep states. A processor analyzes these parameters to determine at least one of a loop gain or an arousal index of the user's ventilatory control system. A trigger mechanism initiates a disturbance of the ventilatory control system during awake and sleep states and monitors the response of the ventilatory control system to such disturbance. The system can provide feedback to the user based on at least one of the determined loop gain or the arousal index and display these parameters to the user via a user interface.

The invention relates to the technical field of medical equipment monitoring, in particular to an intelligent anesthesia atomization equipment state monitoring method and system. The method comprises the following steps: firstly, collecting atomization flow, particle size distribution, motor vibration frequency, liquid medicine temperature and pipeline pressure, and constructing an equipment state feature set; synchronously collecting electroencephalogram signals of a patient and constructing electroencephalogram state vectors; inputting the feature set into a support vector machine model to identify the running state of the equipment, and judging whether abnormity exists or not; when the equipment state is normal, an atomization efficiency attenuation equation is constructed based on continuous data, and the future efficiency trend is predicted; the prediction result and the electroencephalogram state are input into an anesthesia depth index dynamic balance model, and the adaptability of atomization output to the sedation reaction of the patient is evaluated; and when the efficiency attenuation rate is too high or the dynamic error exceeds a threshold value, generating a prompt signal and uploading the prompt signal to a remote platform. According to the invention, equipment state monitoring, efficiency prediction and neural feedback linkage control are realized, and intraoperative safety and postoperative evaluation precision are improved.

A sensor and method for determining the state of a humidification chamber in a respiratory gas humidifier. The sensor comprises a transmitter for emitting an electromagnetic radiation signal, a receiver for receiving the electromagnetic radiation signal and providing an output signal, and a controller for varying the intensity of the electromagnetic radiation signal emitted by the transmitter and / or the gain setting of the receiver. The controller has two sensor configurations, a first configuration in which the transmitter emits an electromagnetic radiation signal having a first intensity, the receiver has a first gain setting, and the receiver provides a first output signal, and a second configuration in which the transmitter emits an electromagnetic radiation signal having a second intensity, the receiver has a second gain setting, and the receiver provides a second output signal, wherein the first intensity is different to the second intensity, and / or the first gain setting is different to the second gain setting, and the controller determines a state of the humidification chamber by comparing the first and second outputs of the receiver with one or more threshold values.

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.