14 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 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.

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 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.

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.