23 results about "Expiratory Time" patented technology

Systems or apparatus may be configured with method(s) for hyperarousal disorder such as for determining settings that control respiratory therapy for slowing a patient's breathing. They may be configured to determine an interim target breathing rate less than a current spontaneous rate. They may be configured to derive target inspiratory time and expiratory times based on the interim target breathing rate. They may be configured to compute, with first function(s), a parameter set for generating a variable treatment pressure waveform based on target inspiratory / expiratory times. They may be configured to determine pressure settings by generating the waveform with the computed parameter set and second function(s). They may be configured to reduce the interim target breathing rate in response to a subsequent spontaneous breathing rate slowing down toward the interim target rate. They may be configured to generate feedback such as graphics / sound to provide information to promote slowing of breathing.

The present application relates to a ventilator, which includes an inhalation module, an exhalation module and a gas supply module. The inhalation module is used to transmit a respiratory medium; the exhalation module includes a negative pressure generator, which can generate negative pressure to assist exhalation; and the gas supply module is connected to the inhalation module to provide the inhalation module with a respiratory medium. The inhalation module can transmit the gas transmitted from the gas supply module to the user to provide the user with the respiratory medium required for breathing. The negative pressure generator included in the exhalation module can generate negative pressure when the gas flows through, so as to achieve the effect of assisting the user to exhale. As a result, the exhalation time is reduced, which facilitates the user's exhalation process to match high-frequency ventilation, thereby improving the effect of the ventilator when performing high-frequency ventilation.

A device for supplying respiratory gas, which has a respiratory gas supply driven by an electric motor and a motor control system comprising at least one sensor for detecting a measured value, wherein the motor control system (14) has a control characteristic for reducing a current target speed of the electric motor (13) as a function of the measurement signal of the sensor when a predeterminable limit value of an operating parameter is exceeded, characterized in that the motor control system (14) has a control characteristic for reducing the speed as a function of the measured value while simultaneously maintaining a limit value for a further operating parameter, wherein the control characteristic is designed to maintain a minimum value for a ventilation pressure, wherein the motor control system (14) is designed to evaluate at least one detected breathing event,wherein the motor control regulates the mean pressure level in the time range of a user's expiration to at least 2 hPa by means of a control device, and wherein the pressure level in the time range of an expiration is variable independently of a user's specification, and wherein a user can specify the extent of the change in the pressure level for the time range of an expiration, wherein the breathing events are oral expiration and leakage, and wherein, upon automatic detection of these events, the pressure control takes into account those metrological parameters which are evaluated by the control in a normal state for a pressure increase or a pressure decrease and which can no longer be reliably evaluated when these events occur, for the duration of the occurrence of these events,that the operating mode reducing noise and / or energy consumption and / or respiratory effort is activated, with a pressure reduction occurring upon detection of these events.

Provided is a training management device for expiratory pressure load to alleviate tachypnea in COPD patients and improve exercise ability and physical mobility. The device is a training management device for users with COPD. The device includes an expiratory information input unit for inputting expiratory information related to the ratio T EX of the inhalation or exhalation time to one breath time during maximum exercise obtained by performing an exercise load cardiopulmonary function examination (CPET) on the user, and the ratio T RE of the inhalation or exhalation time to one breath time at rest obtained by the examination, and a user determination unit that calculates the difference between T EX and T RE to determine whether there is expiratory prolongation during exercise in the user, a menu presentation unit that presents a menu for expiratory pressure load training based on the maximum expiratory pressure value for a user with expiratory prolongation during exercise, and a training result presentation unit that inputs expiratory information and information related to exercise ability after a predetermined number of expiratory pressure load trainings, determines whether there is an improvement effect on the exercise ability of the target user, and presents the training result.

The invention relates to the technical field of medical instruments, in particular to a ventilation method and system comprising an adjustable trigger window and a breathing machine. The method comprises the following steps: calculating expiration time according to the set breathing frequency and inspiration time of a user; counting autonomous respiration parameters of the user in a preset time window; calculating a first trigger window candidate value and a second trigger window candidate value based on the autonomous respiration parameter; limiting the first trigger window candidate value to enable the first trigger window candidate value to be not greater than a second trigger window candidate value; combining the first trigger window candidate value and the second trigger window candidate value to obtain a trigger window duration; setting an upper limit value of the time length of the triggering window, and limiting when the time length of the triggering window exceeds the upper limit value; in the trigger window, if a trigger event is detected, starting one-time support ventilation; if the trigger event is not detected when the trigger window is ended, starting one-time control ventilation; and out of the trigger window, autonomous respiration with unlimited times is allowed to be carried out.

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

Technologies are provided for monitoring of status changes of a cardiopulmonary condition. In some cases, a method includes: receiving, thoracic impedance (TI) measurement signals corresponding to a subject, the TI measurement signals being time-dependent and obtained during a time interval; generating, using the TI measurement signals, respiration signals corresponding to the subject during the time interval; determining, over the time interval, using the respiration signals, multiple values of a ratio of an exhalation time and an inhalation time of the subject; monitoring, over the time interval, using the multiple values, a time-dependence of the ratio; and identifying, based on the time-dependence, a status change of a cardiopulmonary condition of the subject.

To provide assessment of airway constriction based on trends of a ratio between an exhalation time and an inhalation time.SOLUTION: Technologies are provided for monitoring of status changes of a cardiopulmonary condition. In some cases, a method includes: receiving, thoracic impedance (TI) measurement signals corresponding to a subject, the TI measurement signals being time-dependent and obtained during a time interval; generating, using the TI measurement signals, respiration signals corresponding to the subject during the time interval; determining, over the time interval, using the respiration signals, multiple values of a ratio between an exhalation time and an inhalation time of the subject; monitoring, over the time interval, using the multiple values, a time dependence of the ratio; and identifying, based on the time dependence, a status change of a cardiopulmonary condition of the subject.SELECTED DRAWING: None

The application discloses a sleep system and method based on internet communication, and particularly relates to the field of smart home and health monitoring, which is used to solve the problems of sleep microenvironment regulation lag and physical intervention easily inducing micro-awakening. First, based on multi-source sensing, heart-lung waveform and temperature and humidity data are acquired, and microclimate sweat index is calculated to accurately lock physiological heat dissipation demand. Then, when the sweat threshold is met, the time domain tracking of the respiratory envelope is carried out, the next expiration trough and time window are extrapolated, and the intervention time is limited to the feeling gate delay period. Through dynamic calculation of pure network time consumption and motor pressure building time consumption, the predicted time point is reversely compensated on the time axis to generate an advance trigger time stamp, and the system response time difference is smoothed. Finally, the ventilation volume is equivalent to discrete single pulse air volume, the driving control node only outputs airflow in the expiration time window, the dehumidification action is hidden in the natural expiration stage, and a non-inductive closed-loop intervention system is constructed, thereby providing scientific support for sleep health management.

A device for detecting and quantifying lung function includes a piezoelectric sensor configured for attachment to a mammalian chest wall and to feed signals to an ADC providing digitized signals to a processor. The processor firmware extracts inspiration and expiration times from the digitized signals and generates an I / E ratio from them. The processor has firmware to detect wheezing sounds in the signals. The device has an analog event detector configured to wake-up the processor upon detection of candidate wheeze sounds in the signals. In embodiments, the analog event detector includes bandpass filters coupled to a modeling circuit feeding a correlation circuit, the filters having bandpass adjusted by feedback from a circuit within the analog event detector. In an embodiment, the device uses an FFT with a gated recurrent unit (GRU) with partial reset (GRUPR) neural network to detect wheezes.

The present application provides a method for detecting pulmonary function parameters and an anesthesia machine. The method includes: collecting the breathing parameters of a user; the breathing parameters include expiratory pressure data, expiratory time data, and tidal volume; based on the breathing parameters, determining the leakage coefficient of the breathing circuit system corresponding to the user; according to the leakage coefficient, expiratory pressure data, and expiratory time data, determining the expiratory phase time parameter of the user; according to the leakage coefficient and the expiratory phase time parameter, determining the pulmonary function parameter of the user. In the present application, the leakage coefficient of the breathing circuit system corresponding to the user is determined through the expiratory parameters, and then the expiratory phase time parameter corresponding to the user is determined. In this way, the gas leakage amount of the anesthesia machine can be quantitatively processed. Finally, the pulmonary function parameter of the user is calculated according to the leakage coefficient and the expiratory phase time parameter, avoiding the influence of the gas leakage amount on the calculation of the pulmonary function parameter and improving the accuracy of the detection of the pulmonary function parameter.

Ventilation device (1) for ventilating a patient (47), with • a control unit (7), • an expiratory valve (3), • an inspiration valve (2), • an inspiratory pressure sensor (13), • an expiratory pressure sensor (13'), • a connection system (48) with an inspiratory supply line (91) for supplying respiratory gases to the patient (47) and with an expiratory supply line (92) for carrying respiratory gases away from the patient (47), • a connecting element (46) for connecting the patient (47) to the connection system (48), • a pressure measuring line (94) pneumatically coupled to the connecting element (48), • another pressure sensor (15) pneumatically coupled to the pressure measuring line (94), • wherein the inspiratory pressure sensor (13) is arranged in or on the inspiratory supply line (91) of the connection system (48), • wherein the inspiratory pressure sensor (13) is designed to detect an inspiratory pressure measurement value (13) and to provide the inspiratory pressure measurement value (13) to the control unit (7), • wherein the expiratory pressure sensor (13') is arranged in or on the expiratory supply line (92) of the connection system (48), • wherein the expiratory pressure sensor (13') is designed to detect an expiratory pressure measurement value (13') and to provide the expiratory pressure measurement value (13') to the control unit (7), • wherein the further pressure sensor (15) is designed to detect a pressure measurement value close to the patient and to provide the pressure measurement value close to the patient to the control unit (7), • wherein the control unit (7) is designed to control the inspiration valve (2) taking into account the inspiratory pressure measurement value (13) in order to provide an inspirational breathing gas mixture with an inspirational pressure level for the patient (47) via the inspirational supply line (91) of the connection system (48), • wherein the control unit (7) is designed to control the expiratory valve (3) taking into account the expiratory pressure measurement value (13') in order to set an expiratory pressure level via the expiratory supply line (92) of the connection system (48) for the patient (47), • wherein the control unit (7) is designed to carry out ventilation with a ventilation frequency of up to 150 respiratory cycles per minute (150 min -1 ) with a ratio of inspiration time T i to expiratory time T ein a range from 4 to 1 to 1 to 5 (I:E ratio from 4:1 to 1:5), • wherein the control unit (7) is designed to control at least the expiratory pressure level on the basis of the patient-near pressure measurement value by means of the inspiration valve (2) and the expiration valve (3) in such a way that the pressure level is assigned an HF oscillation with an HF ventilation frequency (17) as a variation in amplitude in a range of 3 Hertz to 20 Hertz (3 sec -1 up to 20 seconds -1 ) with and with a HF oscillation ratio (20) of HF-inspiration time HF-T i to HR-expiratory time HR-T e in a range of 1 to 1 to 1 to 3 (HF- I:E ratio of 1:1 to 1:3), wherein the control unit (7) is further designed to carry out a signal processing (1000) of the pressure measurement value close to the patient, wherein the control unit (7) when carrying out the signal processing (1000) • at least one property of the pressure measuring line (94) from a group of properties associated with pressure measuring lines and • at least one ventilation setting (21) or a change in the at least one ventilation setting (21) before and / or during operation of the ventilation device (1) from a group of ventilation parameters are taken into account, wherein the group of properties associated with pressure measuring lines comprises at least one of the following elements: o Length of the pressure measuring line (94), o Diameter of the pressure measuring line (94), o Material properties of the pressure measuring line (94), o Flow resistance of the pressure measuring line (94), o A line type, characterizing the length, the diameter, the material properties and / or a flow resistance of the pressure measuring line (94), wherein the group of ventilation settings (21) that can be set during operation of the ventilation device comprises at least one of the following elements: ◯ Ventilation rate (RR), ◯ Ratio of inspiration time to expiratory time (I:E ratio), ◯ Inspiration time (T i ), ◯ Expiratory time (T e ), ◯ inspiratory pressure level P insp , ◯ mean airway pressure P AW (19), ◯ HF pressure pressure level P HF (18), ◯ expiratory pressure level P exp , ◯ positive end-expiratory pressure (PEEP), ◯ HR ventilation rate (HR-RR) (17), ◯ set RF oscillation ratio (RF I:E ratio) (20), ◯ HR inspiratory time (HR-T i ), ◯ HR expiratory time (HR-T e ), ◯ inspiratory pressure plateau, ◯ inspiratory pressure gradient, ◯ Operating mode of a ventilation form, ◯ Patient type, characterized by age, sex, weight, gestational age, APGAR score, clinical picture of the patient (47).

Systems or apparatus may be configured with method(s) for hyperarousal disorder such as for determining settings that control respiratory therapy for slowing a patients breathing. They may be configured to determine an interim target breathing rate less than a current spontaneous rate. They may be configured to derive target inspiratory time and expiratory times based on the interim target breathing rate. They may be configured to compute, with first function(s), a parameter set for generating a variable treatment pressure waveform based on target inspiratory / expiratory times. They may be configured to determine pressure settings by generating the waveform with the computed parameter set and second function(s). They may be configured to reduce the interim target breathing rate in response to a subsequent spontaneous breathing rate slowing down toward the interim target rate. They may be configured to generate feedback such as graphics / sound to provide information to promote slowing of breathing.

The invention discloses a portable respiration monitoring method and device based on a piezoelectric film sensor, and relates to the technical field of medical health monitoring. The portable respiration monitoring method comprises the following steps that the piezoelectric film sensor made of a high-molecular polymer sensitive material is attached to the outer side of a nasal cavity; breathing airflow vibration enables lattice polarity displacement in the sensor to generate surface charges, and electric signals are output; transmitting the electric signal to a charge amplifier circuit through a shielded wire, and sequentially carrying out band-pass filtering and low-pass filtering; the filtered signal is converted into a digital signal, and a special buffer area is developed to realize non-blocking transmission; performing waveform smoothing on the converted and transmitted digital signal; based on the smoothed waveform, de-averaging the signal and detecting a zero crossing point interval sequence, and calculating a complexity parameter; adopting a baseline threshold discrimination method to accumulate the inspiration and expiration time, and calculating to obtain the respiratory rate; and dynamically displaying the obtained respiratory rate and related waveform parameters and transmitting the respiratory rate and the related waveform parameters to an upper computer through Bluetooth.

The invention discloses a performance evaluation system and method for a breathing machine, and particularly relates to the field of data processing, the system comprises a sensor module, a control module, an execution module and a performance evaluation module; the sensor module is used for collecting blood oxygen saturation and respiratory rate of a patient; the control module intelligently selects a ventilation mode and dynamically adjusts the inspiration and expiration time ratio on the basis of blood oxygen saturation and respiratory frequency data and a biological feedback mechanism; the execution module adjusts the ratio of inspiration to expiration by controlling the opening and closing time of airflow; the performance evaluation module constructs a simulation model through MATLAB and Simulink, and evaluates the accuracy of the simulation model through comparison with hardware test data. The ventilation mode can be adaptively adjusted according to the state of the patient, and the comfort of the patient is improved through non-invasive monitoring.

The invention provides a method and a system for dynamically determining expiration time and a breathing machine, and the method comprises the following steps: after I periods of ventilation are started, executing an expiration keeping operation once, and then executing an expiration keeping operation once every K times; counting results of the latest T times of endogenous positive end expiratory pressure, and calculating the number of digits and recording the digits as Pm; adjusting the expiration time according to the measurement result: if 1cm H2O < lt >; if Pm is less than or equal to 5cm H2O, increasing the expiration time for a first prolonging time; if the size is 5cm H2O < lt >; if Pm is smaller than or equal to 10 cm H2O, the expiration time is increased by second prolonging time; if Pmgt; and if H2O is 10cm, the expiration time is increased by a third prolonging time. The method has the advantages that the real endogenous PEEP value in the most natural and unconscious state can be captured, and objectivity and reliability of monitoring data are ensured; while the curative effect is pursued, ventilation safety is fundamentally guaranteed, and invalid or harmful continuous intervention is avoided.

A system and method for determining therapeutic expiratory positive airway pressure (EPAP) dosage through constant monitoring of flow patterns, which can be used to determine the expiratory time constant, and upon determining the expiratory time constant comparing that we various EPAP dosages to determine an optimal therapeutic EPAP dosage.

This invention relates to a ventilation control system, comprising a control unit capable of generating control signals for adjusting the operating parameters of a ventilator. The control unit is capable of determining a normal control scheme in the following manner: determining several influencing parameters; inputting the determined influencing parameters into an established lung model to calculate the respiratory rate; calculating the inspiratory and expiratory times using the respiratory rate; calculating the tidal volume using the respiratory rate and determining the corresponding normal control scheme according to the calculated tidal volume, wherein the initially determined normal control scheme is used as the initiation scheme; and iteratively optimizing the respiratory rate to calculate the inspiratory time, expiratory time, and tidal volume of the next sequence, thereby updating the normal control scheme.

The present application relates to the technical field of respiratory training, in particular to a post-rehabilitation respiratory training system for neurology nursing, which comprises an airflow collection module, a cycle division module, a lagging segmentation module, a deviation grading module and a rhythm control module.In the present application, the start points of inhalation and exhalation are identified and the cycle is divided through positive and negative flow rate conversion, and at the same time, time normalization processing is performed, so that the breathing behavior under different states has a unified comparison scale, the phase difference is calculated in combination with the reference rhythm phase, and the interval is divided according to the change trend, so that the local lag and rhythm drift in the breathing process can be identified in detail, the interval average phase difference is continuously cycled and the deviation grade is divided, so that the rhythm evaluation takes into account stability and trend, the inhalation and exhalation time ratio is reconstructed according to the deviation result, and a control signal is output, so that the training rhythm and the actual breathing performance form a dynamic match, which helps to improve the training accuracy and individual adaptation level.

The present application relates to the field of medical monitoring equipment, in particular to a wearable chest impedance positive dynamic monitoring system for heart failure patients and a method thereof, comprising a chest impedance signal detection, signal processing, analog-digital conversion, a processor, a wireless communication module, a mobile client and a cloud platform, the chest impedance signal is converted into a digital signal after amplification, noise reduction and filtering, the processor extracts the respiratory waveform parameters, calculates the chest impedance ratio (the product of the peak-to-valley amplitude and the dynamic adjustment coefficient K1 of the tidal volume ratio, K1 increases with the extension of the inspiratory and expiratory time interval), and performs multi-level classification and early warning decision, the early warning information is transmitted to the mobile client through the wireless communication module, the data is uploaded to the cloud platform for deep analysis, personalized monitoring parameters are generated and feedback is provided, the chest impedance ratio parameter and its calculation method, combined with the dynamic adjustment coefficient K1, accurately reflect the lung fluid state, realize the super-early warning of heart failure, and have important significance for the health monitoring of heart failure patients.

The invention discloses a dynamic estimation method for airway resistance of respiratory support equipment. The dynamic estimation method comprises the following steps that the tidal volume, the flow change value and the expiration and inspiration pressure difference of the respiratory support equipment are obtained; based on the inspiration tidal volume of the unit inspiration time, the flow change value of the unit expiration time and the pressure difference between the unit inspiration time and the unit expiration time, an air path patency evaluation model is built, and air path patency is calculated according to the air path patency model; and fitting the air passage smoothness evaluation model to obtain a fitting model of the air passage resistance and the air passage smoothness, and calculating the air passage resistance of the respiratory support equipment according to the fitting model. The technical problem of how to accurately and quickly estimate the airway resistance and output the result in the autonomous dual-level mode is solved.

A method of detecting an exacerbation event in a respiratory waveform is provided. The method includes: generating a test set of trend features from a respiratory waveform of a subject's breathing with respect to a time window; and detecting for an exacerbation event in the time window based on an exacerbation prediction output of an exacerbation machine learning model based on the test set of tread features generated with respect to the time window. In particular, the test set of trend features includes one or more trend features relating to a respiratory rate, one or more trend features relating to a tidal volume and one or more trend features relating to a modified respiratory duty cycle. The modified respiratory duty cycle is determined based on a ratio of a difference between an inhalation time and an exhalation time to a total breathing time. There is also provided a corresponding system for detecting an exacerbation event in a respiratory waveform.