38 results about "Ventilator settings" patented technology

Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a computer readable medium including instructions for operating in a hybrid mode. These instructions include measuring patient effort during a spontaneous breath type and deriving a neural inspiratory time from the measurements of patient effort. This neural inspiratory time is then set as the inspiratory for a breath of a mandatory breath type. If new patient effort measurements are received by the ventilator, the neural inspiratory time may be adjusted.

A method and apparatus for determining suitable settings for a servo-ventilator to be used during sleep. Respiratory characteristics of a patient are measured during an awake learning period. With these measured characteristics, a target ventilation setting may be calculated by alternative methods. The calculated setting may then be used for enforcing a minimum ventilation during a treatment period where ventilatory support is provided with a servo-controlled ventilator.

An input device for a clinician to control and modify the operation of a mechanical ventilator comprises a graphical display, a representation of a respiratory therapy trajectory to be delivered to a patient, at least one data point associated with the trajectory, and a data input means for the clinician to select a data point and to modify the value of the trajectory at that data point. The present invention provides for the creation and modification of a respiratory therapy trajectory, wherein the ventilator provides a medical gas waveform to a patient according to the respiratory therapy trajectory.

An airway device is provided that may track the flow of respiratory gases through the device with sensing elements at a plurality of locations along the gas flow path of the device. Such a device may be useful for assessing a variety of clinical states, for adjusting patient ventilator settings, or for determining whether or not an airway device has been properly inserted into a patient airway.

The invention relates to a respirator parameter setting method, a respirator, a cloud platform and a system. The method includes the steps of turning on the respirator when the respirator is in a turned-off state and when a user presses down a collecting button on the respirator by a first preset time and the fingerprint information of the user is collected, sending the collected fingerprint information to the cloud platform; obtaining prestored registration fingerprint information through the cloud platform, analyzing the collected fingerprint information according to the prestored registration fingerprint information to analyze identity information of the user, retrieving a user database according to the identity information of the user to retrieve the sign information corresponding to the user, generating corresponding respirator setting parameters through the respirator expert system according to the body sign information, sending the respirator setting parameters to the respirator, and setting running parameters of the respirator as the respirator setting parameters through the respirator. The one-key type automatic setting of the parameters of the respirator can be achieved by collecting the fingerprint information, man-machine interaction is friendly, control is accurate, and maloperation is avoided.

An airway device is provided that may track the flow of respiratory gases through the device with sensing elements at a plurality of locations along the gas flow path of the device. Such a device may be useful for assessing a variety of clinical states, for adjusting patient ventilator settings, or for determining whether or not an airway device has been properly inserted into a patient airway.

An airway device is provided that may track the flow of respiratory gases through the device with sensing elements at a plurality of locations along the gas flow path of the device. Such a device may be useful for assessing a variety of clinical states, for adjusting patient ventilator settings, or for determining whether or not an airway device has been properly inserted into a patient airway.

A mechanical ventilator (10) is connected with a ventilated patient (12) to provide ventilation in accordance with ventilator settings of the mechanical ventilator. Physiological values(variables)are acquired for the ventilated patient using physiological sensors (32). A ventilated patient cardiopulmonary (CP) model (40) is fitted to the acquired physiological variables values to generate a fitted ventilated patient CP model by fine-tuning its parameters (50). Updated ventilator settings are determined by adjusting model ventilator settings of the fitted ventilated patient CP model to minimize a cost function (60). The updated ventilator settings may be displayed on a display component (22) as recommended ventilator settings for the ventilated patient, or the ventilator settings of the mechanical ventilator may be automatically changed to the updated ventilator settings so as to automatically control the mechanical ventilator.

An image forming apparatus having: an inside-air duct having a first inlet to an inside of the image forming apparatus; a first ventilator provided in the inside-air duct; an outside-air duct having a second inlet to an outside of the image forming apparatus; a common duct into which the inside-air duct and the outside-air duct are merged; a second ventilator provided in at least one of the outside-air duct and the common duct; a filter provided in the common duct; and a control section that retrieves information indicative of an flow rate in the inside-air duct and increases a pressure produced by the second ventilator based on the retrieved information such that an flow rate in the outside-air duct is substantially constant with respect to an increase of the flow rate in the inside-air duct.

The invention relates to a mechanical ventilation system (10) for respiration of a patient (5), the system being adapted for providing decision support for mechanical ventilation. Control means (12) is adapted for using both first data (D1) and second data (D2), indicative of the respiratory feedback in the blood, in physiological models (MOD) descriptive of, at least, lung mechanics, and/or gas exchange in the lungs of the patient, the physiological models comprising a number of model parameters (MOD_P). The control means is further arranged for simulating the effect on one, or more, model parameters (MOD_P) of the physiological models for a suggested value of the positive end expiratory pressure (PEEP) setting for the ventilation means, and thereby provide decision support in relation to said suggested PEEP value. The invention is advantageous for providing mathematical based models of changes in physiology in response to changes in ventilator settings of the PEEP thereby allowing mathematical physiological models to predict changes in clinical variables for a given value of PEEP.

The invention discloses a breathing machine for internal medicine. The breathing machine comprises an oxygen tank and a supporting base, wherein supporting legs are arranged at the bottom of the outer surface of the supporting base; rollers are arranged at the bottoms of the outer surfaces of the supporting legs; a pushing handle is arranged at the right side of the outer surface of the supporting base; the oxygen tank is arranged at the right end of the upper surface of the supporting base; the oxygen tank is connected to a humidifier by virtue of a gas duct; the humidifier is connected to breathing masks by virtue of gas ducts; elastic straps are arranged on the outer surfaces of the breathing masks; the humidifier is arranged at the top end of the outer surface of a drawer base; a drawer is arranged at the upper end of an inner cavity of the drawer base; and ultraviolet lamp tubes are arranged in an inner cavity of the drawer. The breathing machine for the internal medicine, by arranging two groups of breathing masks which are independently controlled, can simultaneously satisfy the oxygen supply demands of two patients, so that the quantity of the breathing machine is reduced and consumption expenditure of a hospital is saved, and meanwhile, a phenomenon that more spaces are occupied when many breathing machines are adopted is also avoided; therefore, medical personnel is greatly facilitated to use the breathing machine.

A speaking valve adapter is disclosed for assisting with speech or language expression during the respiratory recovery of a human. The speaking valve adapter including a speaking valve port, the port being orthogonal to a first interface port, the first interface port adapted to support tracheostomy or endotracheal tubing, a second interface port adapted to support at least one of a suction tubing and a bronchoscopy tubing, and a third interface port adapted to support a connection to a ventilator. The speaking valve adapter may be used by the patient for introduction of at least one of sounds and words while connected to the ventilator. A corresponding respiratory management system which implements the speaking valve adapter and configurable ventilator settings adapted for assisting with more effective speech or language expression during patient recovery or use is also disclosed.

The invention discloses a method and a device for detecting man-machine asynchronization of a mechanical ventilation patient. The method comprises the following steps of: acquiring breathing data of the mechanical ventilation patient, wherein the breathing data comprises breathing flow rate data and upper airway pressure data; constructing a breathing data set of the mechanical ventilation patient; constructing a multi-layer convolutional neural network model taking a two-dimensional convolutional neural network as a core; inputting the data in the breathing data set of the mechanical ventilation patient into the convolutional neural network model; and outputting a probability value of normality and/or man-machine asynchronization of the mechanical ventilation patient. Through the method, accurate identification of man-machine asynchronization of the mechanical ventilation patient is realized, and real-time support is provided for a clinician to adjust the decision of respirator setting.

A breathing machine breathing phase control method based on a dynamic threshold value is characterized in that two threshold values are set for a breathing machine, one threshold value is a static threshold value, the other threshold value is a dynamic threshold value, the static threshold value is larger than the dynamic threshold value, and the static threshold value is used for achieving static control of a patient in a non-breathing state; in the static control, the breathing machine outputs gas which takes a static reference value as a basis and takes a static threshold value as an up-down floating range and has relatively fixed pressure and flow. The dynamic threshold value is used for achieving dynamic control of the patient in the breathing state, and in the dynamic control process, the breathing machine outputs gas with the pressure and the flow in a breathing wave shape based on the dynamic reference value. The breathing phase is controlled in a double-threshold control mode, static control and dynamic control are switched, the problems of breathing phase control lag and false triggering in the prior art can be effectively solved, the breathing phase of the breathing machine can better follow the breathing rhythm of a patient, and the breathing comfort can be dynamically adjusted.

Resuscitation and ventilation monitoring devices are provided. A device includes an inlet in fluid communication with airflows exchanged with lungs of a patient and an airflow meter for measuring characteristics of the airflows. A user may provide a controller with patient information, e.g., height, weight, gender, or age, via a measurement selector, enabling the controller to determine acceptableranges of measured airflow characteristics. The device may determine a current mode of ventilation and associated ventilator settings based on the measured airflow characteristics. The device may also identify and filter out artifacts present in the ventilation signal, and determine whether a respiratory failure phenotype is present in the ventilation. If the current mode of ventilation and associated ventilator settings fall outside an acceptable range, the ventilation is classified as off-target and the controller may cause a sensory alarm to alert the user. The device may suggest a corrective action based on the type of off-target ventilation detected. The device may also continuously analyze ventilation to determine changes in lung compliance over time and to identify pathological changes over time. The device may work within a network of devices and user interfaces via wired or wireless communication, and is not restricted to or dependent on the type of ventilatory device with which a patient is being supported.

The present invention relates to a ventilator system capable of displaying complex information patterns in a GUI, thereby allowing a clinician to get subtract complex information from multiple parameters inputs.

A method of identifying the occurrence of patient-ventilator asynchrony (PVA) includes using a cardiogenic index generated from a number of breath attribute signals measured by ventilators. The method can be implemented in a ventilator by a controller that includes a machine learning model trained to use the cardiogenic index and other features extracted from ventilator waveforms to identify the occurrence of PVAs. A ventilator equipped with such a controller can provide real-time alerts to a caregiver that a PVA has occurred so that the ventilator settings can be adjusted.